diff --git "a/val (1).csv" "b/val (1).csv"
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+text,label,id
+a image super of resolution great low-level vision Single computer as importance task. is,Single image super resolution is of great importance as a low-level computer vision task.,0
+approaches achieved networks Recent neural im-pressive performance. with deep have convolutional,Recent approaches with deep convolutional neural networks have achieved im-pressive performance.,1
+"hierarchical multi network the different kernel Specifically, multi with learns under fields. representations receptive","Specifically, the network with multi kernel learns multi hierarchical representations under different receptive fields.",2
+identified can when be terminated Tracking direction with is high certainty. no,Tracking is terminated when no direction can be identified with high certainty.,3
+This placed manually and centerlines correspondence extracted between showed strong markers.,This showed strong correspondence between extracted centerlines and manually placed markers.,4
+an of partitioning meaningful image segments. segmentation  process Image  the is into,  Image segmentation is the process of partitioning an image into meaningful segments.,5
+algorithm. over approach demonstrates conventional improvement The watershed an,The approach demonstrates an improvement over conventional watershed algorithm.,6
+"have vision systems. to made computer to significant attention exploit efforts advance schemes been Recently,","Recently, significant efforts have been made to exploit attention schemes to advance computer vision systems.",7
+"target objects For undergoing visual to it often is large track appearance tracking, changes. challenging","For visual tracking, it is often challenging to track target objects undergoing large appearance changes.",8
+by tracking selectively paying features. robust facilitate temporal attention visual to maps Attention,Attention maps facilitate visual tracking by selectively paying attention to temporal robust features.,9
+the change scene. allow Video systems the Free-Viewpoint of freely the to viewpoints (FVV) viewers,Free-Viewpoint Video (FVV) systems allow the viewers to freely change the viewpoints of the scene.,10
+"subjective analyzed. carried test was including and assessment different HRTs Firstly, out a","Firstly, a subjective assessment test including different HRTs was carried out and analyzed.",11
+quantify The demonstrate the in and perceived influence results the HRT of quality.,The results demonstrate and quantify the influence of HRT in the perceived quality.,12
+light This the simulate and more. costume allow may interaction and dynamically changing,This may allow changing the costume dynamically and simulate light interaction and more.,13
+"common the video-mapping, to warping image offline, once, show. done before be Contrary cannot the","Contrary to common video-mapping, the image warping cannot be done once, offline, before the show.",14
+"sparsity, yet channel regarding not is available.","regarding channel sparsity, is not yet available.",15
+measurements. channel first by of evaluation data The from channel been sounder has verified,The channel sounder has been verified by evaluation of channel data from first measurements.,16
+"design residual charge provides prediction. we auxiliary for unit, a information which attention Then","Then we design a attention residual unit, which provides auxiliary information for charge prediction.",17
+"addition, SECaps our charges. model In focal imbalanced the loss, problem which relieves of introduces","In addition, our SECaps model introduces focal loss, which relieves the problem of imbalanced charges.",18
+superiorities experimental consistently of the model. demonstrate and competitiveness The results proposed our,The experimental results consistently demonstrate the superiorities and competitiveness of our proposed model.,19
+develop a successive problems. algorithms of convex that these achieve stationary We point non-convex approximation,We develop successive convex approximation algorithms that achieve a stationary point of these non-convex problems.,20
+"To novel, the first present locally for end, user expression. tight this bounds we rate","To this end, we first present novel, locally tight bounds for the user rate expression.",21
+complexity and degradation. approximate detectors without reduced also noticeable derive We computation of performance,We also derive approximate detectors of reduced computation complexity and without noticeable performance degradation.,22
+"still, challenging it remains a But problem.","But still, it remains a challenging problem.",23
+present for we cascaded this paper approach brain In tumor deep segmentation. automatic,In this paper we present deep cascaded approach for automatic brain tumor segmentation.,24
+crosstalk in demonstrate We improve and can concentration precision discrimination sensing tasks. that,We demonstrate that crosstalk can improve precision in concentration sensing and discrimination tasks.,25
+receptor ubiquity help observed of in crosstalk Our results molecular the rationalize sensing.,Our results help rationalize the observed ubiquity of receptor crosstalk in molecular sensing.,26
+"repeated of in composition remove of First, designs we terms composed layers.","First, in terms of composition we remove designs composed of repeated layers.",27
+"efficiency achieved. in two better Last, could a cases parameter remove where we designs be","Last, we remove designs in two cases where a better parameter efficiency could be achieved.",28
+"four detailed analysis Additionally, designs we scheme. provide in final on efficiency the our","Additionally, we provide detailed efficiency analysis on the final four designs in our scheme.",29
+"could to However, terms lead inefficient this an route cost. of traveling in","However, this could lead to an inefficient route in terms of traveling cost.",30
+solve proposes two d-relaxed the to rule. approaches with priority research problem Our,Our research proposes two approaches to solve the problem with d-relaxed priority rule.,31
+the method. to solution formulation exact proposed construct improve an We the literature mathematical in,We improve the mathematical formulation proposed in the literature to construct an exact solution method.,32
+effectiveness Experimental the methods. show of results our,Experimental results show the effectiveness of our methods.,33
+"population-level variability models and models. clinically shape Deformetrica Furthermore, relevant ShapeWorks compared capture to SPHARM-PDM","Furthermore, ShapeWorks and Deformetrica shape models capture clinically relevant population-level variability compared to SPHARM-PDM models.",34
+backbone networks the for line power as The VLCs. are indoor existing used,The existing indoor power line networks are used as the backbone for VLCs.,35
+provided the of analysis. correctness the throughout are simulations Monte verify to the paper Carlo,Monte Carlo simulations are provided throughout the paper to verify the correctness of the analysis.,36
+module. into the of policy the auxiliary reward communication for is integrated learning The,The auxiliary reward for communication is integrated into the learning of the policy module.,37
+generalize. to easy We effective this reward auxiliary is show that empirically and,We show empirically that this auxiliary reward is effective and easy to generalize.,38
+estimation image represents vision. a in single a very exciting challenge from computer Depth,Depth estimation from a single image represents a very exciting challenge in computer vision.,39
+"outperforms depth on KITTI methods state-of-the-art the In particular, dataset monocular network our for estimation.","In particular, on the KITTI dataset our network outperforms state-of-the-art methods for monocular depth estimation.",40
+quantities approach when approaches works and are inapplicable. rendering Our prices standard latent,Our approach works when quantities and prices are latent rendering standard approaches inapplicable.,41
+"the During all boxes from detector. DCR testing, base refines","During testing, DCR refines all boxes from the base detector.",42
+and on Experiments results PASCAL bells any show competitive without VOC COCO and whistles.,Experiments show competitive results on PASCAL VOC and COCO without any bells and whistles.,43
+"scanners. across existing exhibit MRI reproducibility However, low generally techniques","However, existing techniques generally exhibit low reproducibility across MRI scanners.",44
+"Specifically, entire the a global-level, information uses the DSGD grasp. predict % at image to","% Specifically, at the global-level, DSGD uses the entire image information to predict a grasp.",45
+"During as grasp selects the output. the most confident inference, % DSGD","% During inference, DSGD selects the most confident grasp as the output.",46
+grasp limitations generated overcomes of individual models. candidates hierarchically the from selection This,This selection from hierarchically generated grasp candidates overcomes limitations of the individual models.,47
+of terms accuracy. in grasp the state-of-the-art on Cornell DSGD % outperforms dataset methods grasp,% DSGD outperforms state-of-the-art methods on the Cornell grasp dataset in terms of grasp accuracy.,48
+"space. instances on cohesion of Importantly, they property separation rely in feature the and among","Importantly, they rely on the property of cohesion and separation among instances in feature space.",49
+composed the networks. then output by three The masks semantic are of final segmentation the,The final semantic segmentation masks are then composed by the output of the three networks.,50
+slab for algorithm an numbers This factory identification in recognizing paper proposes scenes.,This paper proposes an algorithm for recognizing slab identification numbers in factory scenes.,51
+"global boundedness the model. on results of stability, The leads dynamical bifurcations to and analysis","The dynamical analysis leads to results on stability, global boundedness and bifurcations of the model.",52
+"Next, ecological control outcomes. predict methods various via we optimal","Next, via optimal control methods we predict various ecological outcomes.",53
+sums start-ups. at been AI of money Vast thrown have,Vast sums of money have been thrown at AI start-ups.,54
+Integration technique to refer vectorization this Measure Vectorization as PageRank (PMIV). We,We refer to this vectorization technique as PageRank Measure Integration Vectorization (PMIV).,55
+"the great progress challenging achieved,it's match still scenario,i.e. multimodal in Despite the to","Despite the great progress achieved,it's still challenging to match in the multimodal scenario,i.e.",56
+that shown dynamic It recently filters SISO DFE has (i.e. with MMSE been,It has been recently shown that SISO MMSE DFE with dynamic filters (i.e.,57
+of learning various and plays in applications. very important visual roles vision images qualities Enhancing,Enhancing visual qualities of images plays very important roles in various vision and learning applications.,58
+"the the frameworks we task review and first Specifically, each relevant general for introduce variants.","Specifically, we first review the general frameworks for each task and introduce the relevant variants.",59
+limitations are method The and also advantages each of discussed.,The advantages and limitations of each method are also discussed.,60
+"evaluation comprehensive we comparison metrics. present different Moreover, and benchmark datasets of a","Moreover, we present a comprehensive comparison of different benchmark datasets and evaluation metrics.",61
+"Finally, explore challenges and of parsing. the trends semantic we image future","Finally, we explore the future trends and challenges of semantic image parsing.",62
+and a latter an The iterative is method solution. former is closed-form the,The former is an iterative method and the latter is a closed-form solution.,63
+"the latter low-complexity. is the former, of Compared to","Compared to the former, the latter is of low-complexity.",64
+in methods of accurately The cannot condition traditional aerators abnormal detect time.,The traditional methods cannot accurately detect abnormal condition of aerators in time.,65
+"feature learning machine classifier. to the we Finally, algorithms build use","Finally, we use machine learning algorithms to build the feature classifier.",66
+non-electro-neutral microcirculation to the general lens in a We introduce study of model eyes.,We introduce a general non-electro-neutral model to study the microcirculation in lens of eyes.,67
+"main full In captures model. simplified of addition, the our features model the","In addition, our simplified model captures the main features of the full model.",68
+Set segmentation. a has been used (VLS) Variational method in medical Level widely,Variational Level Set (VLS) has been a widely used method in medical segmentation.,69
+layer at scales. brain learns Convolutional visual tumor different of representation,Convolutional layer learns visual representation of brain tumor at different scales.,70
+Layer drives towards the brain Level-Set tumor. the contour,Level-Set Layer drives the contour towards the brain tumor.,71
+This input in the next step. layer LevelSet as for serves turn in the,This in turn serves as input for the LevelSet layer in the next step.,72
+"end-to-end brain Additionally, segmentation DRLS state-of-the-art a on tumors. system achieves fully","Additionally, a fully end-to-end system DRLS achieves state-of-the-art segmentation on brain tumors.",73
+block-level discuss techniques. precoding analog also We,We also discuss block-level analog precoding techniques.,74
+by is Neural initialized Networks that Convolutional endcaps. the algorithm detects DLO's a The,The algorithm is initialized by a Convolutional Neural Networks that detects the DLO's endcaps.,75
+a of content task generate of to The image. textual description is an the,The task is to generate a textual description of the content of an image.,76
+current studies stimuli. saliency and high-quality of modeling gaze on human have Most used,Most of current studies on human gaze and saliency modeling have used high-quality stimuli.,77
+"motion variations lighting distortion include and rotation. Some types blur,","Some distortion types include motion blur, lighting variations and rotation.",78
+"the we effectiveness serving transformations. distortions when of augmentation data investigate Finally, different as","Finally, we investigate the effectiveness of different distortions when serving as data augmentation transformations.",79
+Deep single paper proposes for Bi-Dense image Networks (DBDN) This super-resolution.,This paper proposes Deep Bi-Dense Networks (DBDN) for single image super-resolution.,80
+dense approach inter-block Our novel intra-block extends including previous connections. dense connection by approaches,Our approach extends previous intra-block dense connection approaches by including novel inter-block dense connections.,81
+"encompassing present paper argumentation formalism In AFRA, frameworks. within unlimited we recursive attacks a this","In this paper we present AFRA, a formalism encompassing unlimited recursive attacks within argumentation frameworks.",82
+"beamformer designing ADAF the Then, appropriately by the vectors. can adaptive be acquired","Then, the adaptive beamformer can be acquired by appropriately designing the ADAF vectors.",83
+point/vertex meshes produce clouds uncorrelated with correspondences. or Most temporally solutions existing unknown point,Most existing solutions produce temporally uncorrelated point clouds or meshes with unknown point/vertex correspondences.,84
+compressing ultra-large sizes. and each frame to still ineffective Individually yields is data,Individually compressing each frame is ineffective and still yields to ultra-large data sizes.,85
+technique learning-based then We descriptors learn a to on feature pixel-wise PDMs. develop,We then develop a learning-based technique to learn pixel-wise feature descriptors on PDMs.,86
+results network compression. are fed an autoencoder-based for into The,The results are fed into an autoencoder-based network for compression.,87
+different is of this vehicle. Note the problem the speed predicting from actual,Note this problem is different from predicting the actual speed of the vehicle.,88
+apparent highlight deep current These learning. weaknesses limitations of,These apparent weaknesses highlight current limitations of deep learning.,89
+has long key task of been theorem a intelligence. Automated proving artificial,Automated theorem proving has long been a key task of artificial intelligence.,90
+form inquiry. scientific the bedrock rigorous of Proofs,Proofs form the bedrock of rigorous scientific inquiry.,91
+proving little logics. non-classical to attention for theorem automated Very been has paid,Very little attention has been paid to automated theorem proving for non-classical logics.,92
+"This to unfortunate, truly many is desire reasons as are there proofs non-classical classical. over","This is truly unfortunate, as there are many reasons to desire non-classical proofs over classical.",93
+a neural heterogeneous sensitivity. work that of nodes with consists presents network This,This work presents a neural network that consists of nodes with heterogeneous sensitivity.,94
+"Morever, for the analyze methods machine conventional image we systematically denoising. learning","Morever, we systematically analyze the conventional machine learning methods for image denoising.",95
+"learning directions for denoising. technologies we in deep the image out Finally, research some point","Finally, we point out some research directions for the deep learning technologies in image denoising.",96
+able an undetectable We previously that attack FDI method to derive attacks. detection is detect,We derive an attack detection method that is able to detect previously undetectable FDI attacks.,97
+on processing This graph originating (GSP). is method from concepts based signal,This method is based on concepts originating from graph signal processing (GSP).,98
+unsupervised such for purposes. an We method propose,We propose an unsupervised method for such purposes.,99
+"Visually, the major patterns of depict activities. flows","Visually, the patterns depict flows of major activities.",100
+"has its pattern Temporally, each cycles. appearance-disappearance unique own","Temporally, each pattern has its own unique appearance-disappearance cycles.",101
+"To method. also propose compute compact we representations, sampling a pattern hybrid","To compute compact pattern representations, we also propose a hybrid sampling method.",102
+"better previously. difficult anomalies our Also, data detect that method to were detects fits and","Also, our method fits data better and detects anomalies that were difficult to detect previously.",103
+available on is project Our dataset page. the publicly,Our dataset is publicly available on the project page.,104
+methods which pre-processing also real-time We performance. propose ensure,We also propose pre-processing methods which ensure real-time performance.,105
+"large in occlusion. and The noise, background shadows, approach changes, well viewpoint performs","The approach performs well in large viewpoint changes, background noise, shadows, and occlusion.",106
+shown is efficacy The system datasets. crack of standard on road the,The efficacy of the system is shown on standard road crack datasets.,107
+of The the extended show model. our and experiments extensibility universality,The extended experiments show the universality and extensibility of our model.,108
+the violated. are voltage not and The limits power constraints ensure that line that grids,The constraints that ensure that the grids voltage and line power limits are not violated.,109
+proposed reported effectiveness in the of this confirm study the approach. Simulations,Simulations reported in this study confirm the effectiveness of the proposed approach.,110
+is preprocessing application of precise step important an the for imagery. satellite optical Cloud detection,Cloud detection is an important preprocessing step for the precise application of optical satellite imagery.,111
+been cloud dataset made validation global detection has online. available high-resolution established Our,Our established global high-resolution cloud detection validation dataset has been made available online.,112
+"flow the Firstly, model system's transaction analyzed. and are interference block-chain-based","Firstly, the system's interference model and block-chain-based transaction flow are analyzed.",113
+"simulation performance by of is algorithm Finally, of different the the verified parameters. proposed system","Finally, the performance of the proposed algorithm is verified by simulation of different system parameters.",114
+"demonstrated. unsupervised arithmetic shape and applications, learning also Several operations, as feature such important are","Several important applications, such as unsupervised feature learning and shape arithmetic operations, are also demonstrated.",115
+"is thus demanding this prevents extremely real-time and strategy However, inference. computationally","However, this strategy is extremely computationally demanding and thus prevents real-time inference.",116
+afs. obtain we concerning finitary results additional the case Moreover of,Moreover we obtain additional results concerning the case of finitary afs.,117
+datasets. multiple proposed sketch-photo evaluate network We conducting by experiments baseline the extensive on,We evaluate the proposed network by conducting extensive experiments on multiple baseline sketch-photo datasets.,118
+are some and these defuzzification operations of operations. used Aggregation often,Aggregation and defuzzification operations are some of these often used operations.,119
+makers produce defuzzification independent decision operators results and aggregation Many the to strategy.,Many aggregation and defuzzification operators produce results independent to the decision makers strategy.,120
+"it the to value, However, WABL calculate determine to in is order integrals. some necessary","However, in order to determine the WABL value, it is necessary to calculate some integrals.",121
+results the theoretical examples have been Computational explaining performed.,Computational examples explaining the theoretical results have been performed.,122
+treatment stroke role a and crucial diagnosis Perfusion plays acute in imaging making. decision,Perfusion imaging plays a crucial role in acute stroke diagnosis and treatment decision making.,123
+our approaches. dataset Experimental validate results evaluated our on,Experimental results evaluated on our dataset validate our approaches.,124
+current Music Optical our Recognition overview of (OMR) gives This paper research. an,This paper gives an overview of our current Optical Music Recognition (OMR) research.,125
+taking We are some both additional of to steps currently them. improve,We are currently taking some additional steps to improve both of them.,126
+of graph-based super-voxels an perform clustering a exhaustive these clustering using method. We then,We then perform an exhaustive clustering of these super-voxels using a graph-based clustering method.,127
+our to We implement explore clustering intuitive approach. using an volumes user-interface interactively,We implement an intuitive user-interface to interactively explore volumes using our clustering approach.,128
+"effectiveness modalities. the multiple real-world datasets of Finally, on we framework different show of our","Finally, we show the effectiveness of our framework on multiple real-world datasets of different modalities.",129
+as attributes known Such biometrics. are soft,Such attributes are known as soft biometrics.,130
+and gap video. between semantic bridge They the surveillance human description retrieval in person,They bridge the semantic gap between human description and person retrieval in surveillance video.,131
+pixel-wise The R-CNN approach Mask segmentation. proposed for uses person,The proposed approach uses Mask R-CNN for pixel-wise person segmentation.,132
+the around boundary background precise removes person. clutter It and provides,It removes background clutter and provides precise boundary around the person.,133
+challenging accuracy using person the semantic It conditions. query in for good achieves retrieval,It achieves good accuracy for person retrieval using the semantic query in challenging conditions.,134
+simulation and CSI the behaviors of The are that also show results performance CDI different.,The simulation results also show that the performance behaviors of CDI and CSI are different.,135
+"However, AN with Willie knows CSI, monotonically probability when decreases power. outage the","However, when Willie knows CSI, the outage probability monotonically decreases with AN power.",136
+chapter Encyclopedia in Computational appear This Neuroscience. will of,This chapter will appear in Encyclopedia of Computational Neuroscience.,137
+datasets proposed available two SBU evaluated method publicly UCF. of and is on The,The proposed method is evaluated on two publicly available datasets of SBU and UCF.,138
+"represents a African of of dipteran organisms. one Drosophila model the origin, melanogaster, small best-studied","Drosophila melanogaster, a small dipteran of African origin, represents one of the best-studied model organisms.",139
+realistic into challenging is a a a image image Transforming task. RGB infrared thermal,Transforming a thermal infrared image into a realistic RGB image is a challenging task.,140
+learning to gap. paper this deep a bridge In we propose this method,In this paper we propose a deep learning method to bridge this gap.,141
+transformation propose the We generator coarse-to-fine preserves that the a using mapping details. learning,We propose learning the transformation mapping using a coarse-to-fine generator that preserves the details.,142
+approach experiments significantly that existing and approaches. outperforms qualitative our demonstrate Quantitative,Quantitative and qualitative experiments demonstrate that our approach significantly outperforms existing approaches.,143
+Complex a sensors. number continuously systems of large are by monitored industrial heterogeneous,Complex industrial systems are continuously monitored by a large number of heterogeneous sensors.,144
+"fault. Subsequently, a a on is of evaluated power real approach the case plant study","Subsequently, the approach is evaluated on a real case study of a power plant fault.",145
+"prove Of correlation or causation does imply association. not course,","Of course, correlation does not imply causation or prove association.",146
+here observation. is presented simply an as It,It is simply presented here as an observation.,147
+"estimate non-stationary instantaneous we an this locally, Applying frequency a procedure of signal. obtain multicomponent","Applying this procedure locally, we obtain an instantaneous frequency estimate of a non-stationary multicomponent signal.",148
+is simulation. The proposed illustrated by method,The proposed method is illustrated by simulation.,149
+to billions The tens provide sensor to nodes. of aims connectivity mMTC,The mMTC aims to provide connectivity to tens of billions sensor nodes.,150
+is broadband Denoising a systems. non--stationary communication challenging of in problem signals,Denoising of broadband non--stationary signals is a challenging problem in communication systems.,151
+existing connections auxiliary to small layers. FBS introduces convolutional,FBS introduces small auxiliary connections to existing convolutional layers.,152
+become has Biorefinery serious years. recent development in sector sustainable for a and cleaner dispute,Biorefinery sector has become a serious dispute for cleaner and sustainable development in recent years.,153
+The investigated. hemicellulose concentration of solubilization enhancer on each systematically effect was type and,The type and concentration effect of each enhancer on hemicellulose solubilization was systematically investigated.,154
+"by are visual many examination applications, in large-scale collected images for However, not human.","However, in many applications, large-scale images are collected not for visual examination by human.",155
+users. PCC-OFDM band frequency required between OFDMA different For is no guard,For PCC-OFDM no frequency guard band is required between different OFDMA users.,156
+Animal exhibit interactions. consequence emergent a of local are properties groups that,Animal groups exhibit emergent properties that are a consequence of local interactions.,157
+method transition of first system-size The on Kampen's based is expansion of van rates. construction,The first method of construction is based on van Kampen's system-size expansion of transition rates.,158
+method Gillespie's Langevin second employs chemical equations. The,The second method employs Gillespie's chemical Langevin equations.,159
+"multiplicative, noise. cases, In or mesoscopic derived SDEs state-dependent, the both have","In both cases, the derived mesoscopic SDEs have multiplicative, or state-dependent, noise.",160
+estimation. a tree and The procedure commonly is network heuristic spanning in inference adopted,The spanning tree heuristic is a commonly adopted procedure in network inference and estimation.,161
+"an intractable dense a in However, of are graph. there trees spanning number","However, there are an intractable number of spanning trees in a dense graph.",162
+"address vision Deep networks many problems, used including neural computer video prediction. are convolutional to","Deep convolutional neural networks are used to address many computer vision problems, including video prediction.",163
+"modeling spatially neural though, from are Convolutional prevents invariant, networks which location-dependent them patterns.","Convolutional neural networks are spatially invariant, though, which prevents them from modeling location-dependent patterns.",164
+"propose convolutional this location-biased work, overcome to the limitation. layers In this authors","In this work, the authors propose location-biased convolutional layers to overcome this limitation.",165
+crucial The that task the features location-dependent prediction. results of is indicate encoding for video,The results indicate that encoding location-dependent features is crucial for the task of video prediction.,166
+outperform significantly methods proposed models. spatially invariant Our,Our proposed methods significantly outperform spatially invariant models.,167
+constrained quadratic formulate inhomogeneous problem problem. We convex programming minimization a linear TV as the,We formulate the inhomogeneous TV minimization problem as a convex quadratic constrained linear programming problem.,168
+methods. We TF the draw inspiration from existing our,We draw our inspiration from the existing TF methods.,169
+datasets. be pre-trained unlabelled compression The surplus part can using,The compression part can be pre-trained using surplus unlabelled datasets.,170
+is in that more effective to DPNN state-of-the-art baselines. existing plausible and show We comparison,We show that DPNN is more effective in comparison to existing state-of-the-art and plausible baselines.,171
+We provide new the evidence about that UMT. develop applications two,We develop two applications that provide new evidence about the UMT.,172
+"remote face proposed HR methods for estimation Recently, videos. have from been","Recently, methods have been proposed for remote HR estimation from face videos.",173
+the database public like the into domain. would put to We VIPL-HR,We would like to put the VIPL-HR database into the public domain.,174
+Turing Universal VonNeumann The computers. computers model Machine (TM) --- is a general-purpose for,The Universal Turing Machine (TM) is a model for VonNeumann computers --- general-purpose computers.,175
+whether the is same. unknown a can It machine accomplish,It is unknown whether a machine can accomplish the same.,176
+how can Developmental shows This (DN) this. theoretical work accomplish Network the,This theoretical work shows how the Developmental Network (DN) can accomplish this.,177
+"Master error is of controller central any free or A convolution, Map, back-propagation). DN (e.g.,","A DN is free of any central controller (e.g., Master Map, convolution, or error back-propagation).",178
+at shelves pick station. multiple Usually are the there,Usually there are multiple shelves at the pick station.,179
+"at a case, head. the with queue picker build In they its this","In this case, they build a queue with the picker at its head.",180
+"there answering it. before to because It tough are many question, uncertainties is consider a","It is a tough question, because there are many uncertainties to consider before answering it.",181
+"made decision subsequent to the the answer each influences ones. question Moreover,","Moreover, each decision made to answer the question influences the subsequent ones.",182
+answer to question goal is properly. the The paper of this,The goal of this paper is to answer the question properly.,183
+problem formulate We Repositioning the Pod call model. a and deterministic this Problem,We call this problem the Pod Repositioning Problem and formulate a deterministic model.,184
+to reasoners. these essential techniques These are speed up,These techniques are essential to speed up these reasoners.,185
+based on choices. Many the of are heuristic optimization techniques,Many of the optimization techniques are based on heuristic choices.,186
+heuristic makes these Optimal techniques selection effective. more,Optimal heuristic selection makes these techniques more effective.,187
+learning binary to a our SVM use build technique We model.,We use a binary SVM technique to build our learning model.,188
+The to order up choose help OWL sets model can speed ontology-specific to reasoning.,The model can help to choose ontology-specific order sets to speed up OWL reasoning.,189
+master. Doodling can and learn and common skill intelligent people useful that is a,Doodling is a useful and common intelligent skill that people can learn and master.,190
+Numerous images. deteriorations could lead factors medical to partial of,Numerous factors could lead to partial deteriorations of medical images.,191
+"to lead perturbations metallic scans. in example, For implants localized will MRI","For example, metallic implants will lead to localized perturbations in MRI scans.",192
+"of Generative Networks we propose the inpainting In work, Adversarial (GANs). medical images this via","In this work, we propose the inpainting of medical images via Generative Adversarial Networks (GANs).",193
+"and provided. asymptotic Under dependency consistency normality results assumptions, are estimation mild weak on","Under mild weak dependency assumptions, results on estimation consistency and asymptotic normality are provided.",194
+"of the DeepNSM results effectiveness methods. our validate state-of-the-art Then, model, exceeding the experimental the","Then, the experimental results validate the effectiveness of our DeepNSM model, exceeding the state-of-the-art methods.",195
+criterion the to AT. We for selection OAM impact a of modes minimize propose,We propose a selection criterion for OAM modes to minimize the impact of AT.,196
+state-of-the-art methods independently. Current (SoTA) the tasks two treat,Current state-of-the-art (SoTA) methods treat the two tasks independently.,197
+while using object moving be modeled could flow. optical easily,while object moving could be easily modeled using optical flow.,198
+"as paper, the propose to address a In i.e. two we whole, this tasks","In this paper, we propose to address the two tasks as a whole, i.e.",199
+"call Counts++"" as method or We ""EPC++"". Pixel ""Every our","We call our method as ""Every Pixel Counts++"" or ""EPC++"".",200
+a Wi-Fi as of medium communication is in chosen HAN. the,Wi-Fi is chosen as a medium of communication in the HAN.,201
+incorporates load Python management script. written in The is LMU algorithm which,The LMU incorporates load management algorithm which is written in Python script.,202
+"(RSIM). image propose remote we this, unsupervised matching feature sensing for Resolving an encoder-decoder","Resolving this, we propose an unsupervised encoder-decoder feature for remote sensing image matching (RSIM).",203
+image been sensing available validated publicly remote two benchmark Results have with datasets.,Results have been validated with two publicly available benchmark remote sensing image datasets.,204
+validation approach across of was imaged all Extensive the datasets. conducted,Extensive validation of the approach was conducted across all imaged datasets.,205
+"standard Hematoxylin and gold (H&E) staining. pathologists used Eosin Historically, by has been as a","Historically, Hematoxylin and Eosin (H&E) has been used by pathologists as a gold standard staining.",206
+tissue also segment. of Virtual same staining in-silico the generate multiplexing on could different stains,Virtual staining could also generate in-silico multiplexing of different stains on the same tissue segment.,207
+for critical in karyotyping is diagnosis. Chromosome abnormality classification,Chromosome classification is critical for karyotyping in abnormality diagnosis.,208
+global-scale network network one (L-Net). (G-Net) approach local-scale of The one and consists,The approach consists of one global-scale network (G-Net) and one local-scale network (L-Net).,209
+learn features. and The first is local both to stage global,The first stage is to learn both global and local features.,210
+extract via global and local G-Net. detect We features finer regions the,We extract global features and detect finer local regions via the G-Net.,211
+learning utilized extraction. multi-task are high-level promote Residual learning strategies and to feature,Residual learning and multi-task learning strategies are utilized to promote high-level feature extraction.,212
+been diagnosis. method karyotype The has to practical assist applied proposed,The proposed method has been applied to assist practical karyotype diagnosis.,213
+"resource-intensive deep theory However, developed. is learning yet the is well not and","However, deep learning is resource-intensive and the theory is not yet well developed.",214
+"small algorithm be the of simple Q-learning might classical still choice. For games, table-based","For small games, simple classical table-based Q-learning might still be the algorithm of choice.",215
+good learning for General testbed reinforcement research Game Playing AGI. to provides (GGP) a,General Game Playing (GGP) provides a good testbed for reinforcement learning to research AGI.,216
+"dynamic $\epsilon$ a strategy, For the the propose algorithm. we first enhancement, $\epsilon$-greedy","For the $\epsilon$-greedy strategy, we propose a first enhancement, the dynamic $\epsilon$ algorithm.",217
+classical of Both performance enhancements Q-learning. the improve,Both enhancements improve the performance of classical Q-learning.,218
+are learning used learning representations. deep models unsupervised for Autoencoders,Autoencoders are unsupervised deep learning models used for learning representations.,219
+"publicly Code, available. are and models data","Code, data and models are publicly available.",220
+decades despite popular misuse misinterpretation. and remains Null about of hypothesis significance testing concern,Null hypothesis significance testing remains popular despite decades of concern about misuse and misinterpretation.,221
+is or correlation see or clearly between-group difference we can a negative). positive that whether,whether we can clearly see that a correlation or between-group difference is positive or negative).,222
+in enhance could change communication. simple semantic substantially statistical This clarity,This simple semantic change could substantially enhance clarity in statistical communication.,223
+"the difficult the becomes information However, gradually as deepens. is training increasingly network and weakened","However, the information is gradually weakened and training becomes increasingly difficult as the network deepens.",224
+"the we branches. information to facilitate also merge-and-run mapping Besides, integration between different adopt","Besides, we also adopt the merge-and-run mapping to facilitate information integration between different branches.",225
+to placed challenge. address well be is AI this able to Planning,AI Planning is well placed to be able to address this challenge.,226
+The in XAI-Plan framework. the new methodology is implemented,The methodology is implemented in the new XAI-Plan framework.,227
+SynSeg-Net advances enabled networks recent is of and cycle generative (CycleGAN) the by DCNN. adversarial,SynSeg-Net is enabled by the recent advances of cycle generative adversarial networks (CycleGAN) and DCNN.,228
+performance stage end-to-end approach to methods. The proposed two superior achieved,The proposed end-to-end approach achieved superior performance to two stage methods.,229
+transmitters environments. precise communication receivers and between Achieving particularly synchronisation challenging diffusive molecular is in,Achieving precise synchronisation between transmitters and receivers is particularly challenging in diffusive molecular communication environments.,230
+the protocol time adaptive search algorithm. proposes paper synchronization a by inspired Newton novel This,This paper proposes a novel time synchronization protocol inspired by the adaptive Newton search algorithm.,231
+"is The and robust to implement. simple protocol lightweight,","The protocol is lightweight, robust and simple to implement.",232
+the will be by performance with cost. learning constantly enabled hardware Embedded deep low improving,Embedded deep learning will be enabled by the constantly improving hardware performance with low cost.,233
+larger possible clinical review in methods systems. computation We briefly will,We will briefly review possible computation methods in larger clinical systems.,234
+very networks can classification. Neural perform multidimensional nonlinear effectively,Neural networks can very effectively perform multidimensional nonlinear classification.,235
+"electronic lifetimes However, capacitive to bandwidth carrier limitations networks due from significant suffer coupling. and","However, electronic networks suffer from significant bandwidth limitations due to carrier lifetimes and capacitive coupling.",236
+These resonators compromising optical microring superior fan-in nonlinearity without and provide bandwidth. both,These optical microring resonators provide both nonlinearity and superior fan-in without compromising bandwidth.,237
+Simulations the modes these determined waveguide that optimal geometry validated. were using for experimentally,Simulations that determined the optimal waveguide geometry for using these modes were experimentally validated.,238
+face-blurred on framework the both CycleGAN We and face-removed images. applied,We applied the CycleGAN framework on both face-blurred and face-removed images.,239
+described as These will be natural transformations. suitable relationsips,These relationsips will be described as suitable natural transformations.,240
+of cancer for development the systems. Our is promising screening cervical method automation-assisted,Our method is promising for the development of automation-assisted cervical cancer screening systems.,241
+motion from the noise signal. PPG computed reduced is heart and artifacts rate The then,The heart rate is then computed from the noise and motion artifacts reduced PPG signal.,242
+"is rate Finally, considering tracking algorithm estimates. neighboring a heart proposed","Finally, a heart rate tracking algorithm is proposed considering neighboring estimates.",243
+of performance been on has database. algorithm The the tested available PPG SPECMAR publicly,The performance of the SPECMAR algorithm has been tested on publicly available PPG database.,244
+"complexity, than faster is low Due the computational comparing to method methods. the","Due to low computational complexity, the method is faster than the comparing methods.",245
+are Visual data and text  information data of at multiple granularities. composed ,  Visual data and text data are composed of information at multiple granularities.,246
+"to when learned the embeddings of downstream Furthermore, applied examine we our tasks. effectiveness","Furthermore, we examine the effectiveness of our learned embeddings when applied to downstream tasks.",247
+zero-shot its action recognition show video in utility We captioning. and,We show its utility in zero-shot action recognition and video captioning.,248
+grid discovered ago a decade cortex of were entorhinal the cells rat. About in medial,About a decade ago grid cells were discovered in the medial entorhinal cortex of rat.,249
+demonstrated have in (SR). superior performance networks neural (CNNs) super-resolution Convolutional,Convolutional neural networks (CNNs) have demonstrated superior performance in super-resolution (SR).,250
+"presents recursive paper issues, these To a this unit. address novel","To address these issues, this paper presents a novel recursive unit.",251
+"and rather features, deep-level only are multi-level extracted features, than Then, fused. the","Then, the multi-level features, rather than only deep-level features, are extracted and fused.",252
+"to maps features high-level we First, use the roughly as class-specific classes. locate localization","First, we use high-level features as class-specific localization maps to roughly locate the classes.",253
+"networks. approach propose efficiently from we novel this work, In a filters to remove convolutional","In this work, we propose a novel approach to efficiently remove filters from convolutional networks.",254
+Projection This Variable computed using and is Least (PLS) Squares (VIP). Partial relationship Importance in,This relationship is computed using Partial Least Squares (PLS) and Variable Importance in Projection (VIP).,255
+translation via encode convolution Networks Neural (CNNs) the traditionally operation. Convolutional equivariance,Convolutional Neural Networks (CNNs) traditionally encode translation equivariance via the convolution operation.,256
+structured populations dynamics in explored in has past Evolutionary extensively been decades. game,Evolutionary game dynamics in structured populations has been extensively explored in past decades.,257
+the ties of social together resulting interactants. with behaviors payoffs determine Strategic,Strategic behaviors together with social ties determine the resulting payoffs of interactants.,258
+"evaluation. Keywords: fiber, textile processing, image textile","Keywords: textile fiber, image processing, textile evaluation.",259
+"Consequently, focus states. the transitions on is between learning the","Consequently, the focus is on learning the transitions between states.",260
+"paper, we assumptions. this drop In such","In this paper, we drop such assumptions.",261
+new the by actions. experiences executing learned,the new experiences learned by executing actions.,262
+linear for We fields on meshes. present directional a scheme subdivision tangent face-based novel triangle,We present a novel linear subdivision scheme for face-based tangent directional fields on triangle meshes.,263
+the diagnosis melanoma systems highly can of and recognition. The efficiency computer-aided improve (CAD) reliability,The computer-aided diagnosis (CAD) systems can highly improve the reliability and efficiency of melanoma recognition.,264
+to the apply boost performance approaches We of MS-UNet. two,We apply two approaches to boost the performance of MS-UNet.,265
+is few One world. around that in the just exist they countries a,One is that they exist in a just few countries around the world.,266
+"a for railways critical such these However, part are low their infrastructure. of frequency countries","However, for these countries such low frequency railways are a critical part of their infrastructure.",267
+the second catenary is section. example is The and single-fed section doubly-fed first a catenary,The first example is a single-fed catenary section and the second is doubly-fed catenary section.,268
+critical-but-missing a common Artificial of (AI). Machine been has sense Intelligence component long,Machine common sense has long been a critical-but-missing component of Artificial Intelligence (AI).,269
+must program Developers carefully every situation. or for train systems,Developers must carefully train or program systems for every situation.,270
+"Machine broad, sense AI. remains potentially a in unbounded common problem","Machine common sense remains a broad, potentially unbounded problem in AI.",271
+We strategy propose machine neuroanatomical learning novel variation. studying for a shape,We propose a novel machine learning strategy for studying neuroanatomical shape variation.,272
+"descriptor invariant scaling. and The affine shape is shifts, to rotations learned including transformations,","The learned shape descriptor is invariant to affine transformations, including shifts, rotations and scaling.",273
+"shape. location high problem and ischemic challenging of to due However, variability strokes' remains this","However, this problem remains challenging due to high variability of ischemic strokes' location and shape.",274
+variability sizes. This the handling in lesion helps,This helps handling the variability in lesion sizes.,275
+industry. to is a maintained weaving be important Quality one things of the in,Quality is one of the important things to be maintained in a weaving industry.,276
+implementation fabric. processing chapter on the woven will This of image explain techniques and computational,This chapter will explain the implementation of image and computational processing techniques on woven fabric.,277
+"image processing, Keywords: identification, yarn, textiles. digital evaluation and","Keywords: yarn, digital image processing, evaluation and identification, textiles.",278
+static deep-learning Activity both otherwise---uses components. videos pre-computed a motion setting---or recognition in and in,Activity recognition in videos in a deep-learning setting---or otherwise---uses both static and pre-computed motion components.,279
+decomposition based The method control of Cholesky contributions. the allows,The Cholesky decomposition based method allows the control of contributions.,280
+"interpolation. B-spline extending on is As proof of shift-invariant concept, the put conventional focus","As proof of concept, the focus is put on extending conventional shift-invariant B-spline interpolation.",281
+This constructing stability satisfies domain-informed is done that generating basis properties. by a,This is done by constructing a domain-informed generating basis that satisfies stability properties.,282
+(i) where hierarchical class-level tree we are construct merged recursively. a classes neighboring,(i) we construct a hierarchical class-level tree where neighboring classes are merged recursively.,283
+distribution structure whole hierarchical the database. intrinsic data The over naturally captures the,The hierarchical structure naturally captures the intrinsic data distribution over the whole database.,284
+context. global meaningful to allows samples of This guide hard select automatically it with the,This allows it to automatically select meaningful hard samples with the guide of global context.,285
+"benchmarks, achieves state-of-the-art a number of iterations. on fewer learning new It performance with much","It achieves new state-of-the-art performance on a number of benchmarks, with much fewer learning iterations.",286
+algorithm in camera. by captured frame points locates interest of initially the a stereo The,The algorithm initially locates points of interest in a stereo frame captured by the camera.,287
+the algorithm Its very for of the management important SLAM. functioning Fast proper is,Its management is very important for the proper functioning of the algorithm Fast SLAM.,288
+The results be satisfactory. found are to,The results are found to be satisfactory.,289
+(ECG). Effective the of detection an important in is arrhythmia task electrocardiogram of remote monitoring,Effective detection of arrhythmia is an important task in the remote monitoring of electrocardiogram (ECG).,290
+"applied Moreover, model. optimize triplet is loss function hard to batch the the","Moreover, the batch hard triplet loss function is applied to optimize the model.",291
+a introduced conceptual The of generalization is a as of linkage important notion hyperlink.,The important notion of conceptual linkage is introduced as a generalization of a hyperlink.,292
+virtual We transforming problem one. these the (LOS) Line-Of-Sight lift into by a limitations NLOS,We lift these limitations by transforming the NLOS problem into a virtual Line-Of-Sight (LOS) one.,293
+light these Our cases method developing explicitly without handles challenging model. transport a,Our method handles these challenging cases without explicitly developing a light transport model.,294
+from the is the of same segmenting task images. multiple objects co-segmentation Object,Object co-segmentation is the task of segmenting the same objects from multiple images.,295
+"are robust are As to aging features then identity-related for AIFR. result, used a that","As a result, identity-related features that are robust to aging are then used for AIFR.",296
+a their to surrounding robots paradigm novel propose teach learning about environment. teacher-student We,We propose a novel teacher-student learning paradigm to teach robots about their surrounding environment.,297
+"network ""student"" provides ""teacher"" motion appearance appearance and A two-stream network. an pseudo-labels adapt to","A two-stream motion and appearance ""teacher"" network provides pseudo-labels to adapt an appearance ""student"" network.",298
+"IVOS of tasks. videos manipulation contains Our teaching objects, different dataset and","Our IVOS dataset contains teaching videos of different objects, and manipulation tasks.",299
+ZIP codes. by the respective defined units spatial are The,The spatial units are defined by the respective ZIP codes.,300
+systems. important in roles plays Stochasticity reaction,Stochasticity plays important roles in reaction systems.,301
+the hence are objects. dependencies and neural global applied to determine capture Non-local networks salient,Non-local neural networks are applied to capture global dependencies and hence determine the salient objects.,302
+saliency detection algorithm outperforms proposed results state-of-the-art video The experimental methods. the show that,The experimental results show that the proposed algorithm outperforms state-of-the-art video saliency detection methods.,303
+(DR) algorithms learning been with accuracy. specialist-level used have retinopathy to detect diabetic Deep,Deep learning algorithms have been used to detect diabetic retinopathy (DR) with specialist-level accuracy.,304
+the by reference Grades international panel retinal adjudicated of standard. a served specialists as,Grades adjudicated by a panel of international retinal specialists served as the reference standard.,305
+serve DR tool learning valuable as screening. for may Deep algorithms a,Deep learning algorithms may serve as a valuable tool for DR screening.,306
+images. very a plays process important remote role of the detection Cloud sensing in,Cloud detection plays a very important role in the process of remote sensing images.,307
+"super-pixels Firstly, remote the of into through and SEEDS. sensing segmented images are combination SLIC","Firstly, remote sensing images are segmented into super-pixels through the combination of SLIC and SEEDS.",308
+sensing a super-pixel Segmented remote super-pixels compose level database.,Segmented super-pixels compose a super-pixel level remote sensing database.,309
+"compared show and results precision achieve recall. better can with conventional methods, HFCNN that, Experimental","Experimental results show that, compared with conventional methods, HFCNN can achieve better precision and recall.",310
+burden annotation. alleviates of the manual This,This alleviates the burden of manual annotation.,311
+domain trained models examples. performances on test synthetic deteriorates time difference of Such,Such domain difference deteriorates test time performances of models trained on synthetic examples.,312
+"Meanwhile, obtain accuracies segmentation on satisfactory fast segmentation models existing to benchmarks. fail usually public","Meanwhile, existing fast segmentation models usually fail to obtain satisfactory segmentation accuracies on public benchmarks.",313
+fast networks to of (i.e. learning guide teacher) the segmentation,teacher) to guide the learning of fast segmentation networks (i.e.,314
+"other extensive margin. the our experiments, by In large method alternatives proposed a outperforms","In our extensive experiments, the proposed method outperforms other alternatives by a large margin.",315
+convolutional neural this for task. widely been have networks (CNNs) used Deep,Deep convolutional neural networks (CNNs) have been widely used for this task.,316
+investigate test-time for performance can segmentation. tumor brain We augmentation how improve CNNs',We investigate how test-time augmentation can improve CNNs' performance for brain tumor segmentation.,317
+"experiments, an RetinaNet SBL generate SBL-RetinaNet. our detector, to with one-stage trained was In","In our experiments, RetinaNet was trained with SBL to generate an one-stage detector, SBL-RetinaNet.",318
+"public image dataset, DOTA. the largest applied SBL-RetinaNet to aerial is existing","SBL-RetinaNet is applied to the largest existing public aerial image dataset, DOTA.",319
+plays important in Image role registration images. comparing an,Image registration plays an important role in comparing images.,320
+"important images in CT, PET, MRI, particularly etc. is analyzing It medical like","It is particularly important in analyzing medical images like CT, MRI, PET, etc.",321
+that normally consistent proposed the asymptotically distributed. is uniformly show We and estimator,We show that the proposed estimator is uniformly consistent and asymptotically normally distributed.,322
+"adolescents' illustration, on the risky academic we performance. empirical As investigate of an behaviors impacts","As an empirical illustration, we investigate the impacts of risky behaviors on adolescents' academic performance.",323
+steps of distributed different a single into process the model step. This planning unifies the,This model unifies the different steps of the distributed planning process into a single step.,324
+no reach goal assume global alone. agent that can the We,We assume that no agent can reach the global goal alone.,325
+"optimization been employed problem. resulting Discrete, to optimization the techniques solve successfully have combinatorial,","Discrete, combinatorial, optimization techniques have successfully been employed to solve the resulting optimization problem.",326
+used reduction. residual compression for Recent JPEG networks studies deep convolutional have neural artifact (CNNs),Recent studies have used deep residual convolutional neural networks (CNNs) for JPEG compression artifact reduction.,327
+proposes This S-Net. CNN a study scalable called,This study proposes a scalable CNN called S-Net.,328
+and performance. achieves proposed CNN-based indicate state-of-the-art our approach methods results that outperforms other Experimental,Experimental results indicate that our proposed approach outperforms other CNN-based methods and achieves state-of-the-art performance.,329
+systems. the of dynamical to Particle (PF) is used method an estimate often states filtering,Particle filtering (PF) is an often used method to estimate the states of dynamical systems.,330
+of the The visualization. method is flow demonstrated quantitative performance for proposed,The performance of the proposed method is demonstrated for quantitative flow visualization.,331
+from differentiable are learned are data. modules All and,All modules are differentiable and are learned from data.,332
+The system in effectiveness our strategies training the and of are verified experiments.,The effectiveness of our system and training strategies are verified in the experiments.,333
+"the are interest scenarios, In many by imaging of noise. corrupted images","In many imaging scenarios, the images of interest are corrupted by noise.",334
+"has transform adjustable to distance noise. (SDT), which We, a robustness an stochastic define thus,","We, thus, define a stochastic distance transform (SDT), which has an adjustable robustness to noise.",335
+with person synthesize images To is challenging. high-quality poses arbitrary,To synthesize high-quality person images with arbitrary poses is challenging.,336
+two two discriminators. generators is adversarial multi-scale a and MsCGAN network consisting of,MsCGAN is a multi-scale adversarial network consisting of two generators and two discriminators.,337
+mills. twelve recorded were The datasets from tread last running on subjects,The last twelve datasets were recorded from subjects running on tread mills.,338
+of Limitations studied. effects waveform estimation parameter also are communication and channel,Limitations of channel parameter estimation and communication waveform effects are also studied.,339
+"Material for understanding functional of analysis modeling, critical is geometric objects. design, and","Material understanding is critical for design, geometric modeling, and analysis of functional objects.",340
+ity. and models exhibit variabil- which interesting We focus furniture on structure material,We focus on furniture models which exhibit interesting structure and material variabil- ity.,341
+available. dataset will be publicly code The and,The dataset and code will be publicly available.,342
+artifacts. methods dual-domain network-based convolutional Several in reducing image neural outstanding compression performance show,Several dual-domain convolutional neural network-based methods show outstanding performance in reducing image compression artifacts.,343
+dense the was A performance introduced to extractor DRU. of block in improve,A dense block was introduced to improve the performance of extractor in DRU.,344
+of The training. architecture into without integrated U-net is need proposed the module additional,The proposed module is integrated into the U-net architecture without need of additional training.,345
+"accuracy the improve of Furthermore, segmentation. spatial to convolution dilated is introduced","Furthermore, dilated convolution is introduced to improve the spatial accuracy of segmentation.",346
+We this by is intrinsic find characterized for that preference frequency. spatial system,We find that this system is characterized by intrinsic preference for spatial frequency.,347
+for forecasting price evaluation. this and forecasting electricity we structures include In dependency paper,In this paper we include dependency structures for electricity price forecasting and forecasting evaluation.,348
+"the hinders Moreover, dimensionality of applications. high SPN large-scale","Moreover, the high dimensionality of SPN hinders large-scale applications.",349
+is accurate highly of clusters proposed estimation and The framework in number association. image,The proposed framework is highly accurate in number of clusters estimation and image association.,350
+addresses the estimation pixel challenge paper of correspondence between two dense images. This,This paper addresses the challenge of dense pixel correspondence estimation between two images.,351
+"data. synthetic unseen, trained to transformations very It good demonstrates performance on realistic, is and","It is trained on synthetic transformations and demonstrates very good performance to unseen, realistic, data.",352
+introduce possible belief allowing by over goal flexibility a specification GUSSPs configurations. in goal,GUSSPs introduce flexibility in goal specification by allowing a belief over possible goal configurations.,353
+theoretical GUSSP discuss properties. define We and its a formally,We formally define a GUSSP and discuss its theoretical properties.,354
+propose approach for of solving determinization a also problems. We class this,We also propose a determinization approach for solving this class of problems.,355
+steerable antennas. SUs The equipped with directional are,The SUs are equipped with steerable directional antennas.,356
+capacity detection sensing. network formulate of spectrum uses which the for We energy ergodic secondary,We formulate the ergodic capacity of secondary network which uses energy detection for spectrum sensing.,357
+"we synthetic trained the using For neural network convolutional localization, images. detection ColorChecker a","For the ColorChecker localization, we trained a detection convolutional neural network using synthetic images.",358
+"respect patches with and color all center's the distance. grouped possible to extracted are Subsequently,","Subsequently, all possible color patches are extracted and grouped with respect to the center's distance.",359
+"estimation. cost a evaluate the the accuracy Finally, of applied function is to","Finally, a cost function is applied to evaluate the accuracy of the estimation.",360
+real and images. synthetic using is method tested The,The method is tested using real and synthetic images.,361
+"to invariant proposed overlaps method projections. is and to affine robust The fast,","The proposed method is fast, robust to overlaps and invariant to affine projections.",362
+well The case multiple also performs in detection. of ColorCheckers algorithm,The algorithm also performs well in case of multiple ColorCheckers detection.,363
+field studies shown can experimental and that Many very rapidly. adaptation have occur,Many experimental and field studies have shown that adaptation can occur very rapidly.,364
+how may We also discuss polygenic in of selection detected signals genome. be the the,We also discuss how the signals of polygenic selection may be detected in the genome.,365
+"must cooperation, the In co-workers workers behave. how know","In cooperation, the workers must know how co-workers behave.",366
+the is important and wild tracking in estimation Multi-person pose and human challenging.,Multi-person human pose estimation and tracking in the wild is important and challenging.,367
+"For a are model, training data powerful crucial. training large-scale","For training a powerful model, large-scale training data are crucial.",368
+"this network for multi-column inpainting. paper, propose we a In generative image","In this paper, we propose a generative multi-column network for image inpainting.",369
+image in synthesizes components network This parallel a within manner stage. one different,This network synthesizes different image components in a parallel manner within one stage.,370
+Isoluminant-rainbow colormaps. ensemble the accuracy mean as coloring other to led same,Isoluminant-rainbow coloring led to the same ensemble mean accuracy as other colormaps.,371
+"Hue, estimates values. mean of influences ensemble not luminance,","Hue, not luminance, influences ensemble estimates of mean values.",372
+model video. accurate helps the An activity objects in moving background detecting of,An accurate background model helps detecting activity of moving objects in the video.,373
+types on dynamic problem experiments different conducted related variety of to is A backgrounds.,A variety of experiments is conducted on different problem types related to dynamic backgrounds.,374
+"solution. these problems, scratch a from feasible cope To is training detectors with","To cope with these problems, training detectors from scratch is a feasible solution.",375
+"In from object we this robustly. to paper, scratch train detectors explore","In this paper, we explore to train object detectors from scratch robustly.",376
+segmentation in task is an vision. computer image important Weakly-supervised,Weakly-supervised image segmentation is an important task in computer vision.,377
+key quality location is category. from image-level to high A obtain how objects problem,A key problem is how to obtain high quality objects location from image-level category.,378
+"guided propose this image paper, we segmentation network a problem. this resolve to In saliency","In this paper, we propose a saliency guided image segmentation network to resolve this problem.",379
+We modulator light designed analog a present applications. compressive spatial stochastic imaging for,We present a stochastic analog spatial light modulator designed for compressive imaging applications.,380
+this concept demonstrate an in We a imaging using camera. single-pixel system optical,We demonstrate this concept in an optical imaging system using a single-pixel camera.,381
+to CNN extract features waterpipes. images contain from was used identified unique to,CNN was used to extract unique features from images identified to contain waterpipes.,382
+images with was and distinguish without SVM to built waterpipes. classifier between A,A SVM classifier was built to distinguish between images with and without waterpipes.,383
+image-based studies. scope use grow can the to Future research of this method,Future research can use this method to grow the scope of image-based studies.,384
+the task validated has volumes. on EM mitochondria The segmenting been in method of,The method has been validated on the task of segmenting mitochondria in EM volumes.,385
+can combined method new This matcher. any existing with be minutiae-based,This new method can be combined with any existing minutiae-based matcher.,386
+measurements a with range frequencies of the spanning consistent resonance. are over Experimental simulations,Experimental measurements are consistent with simulations over a range of frequencies spanning the resonance.,387
+"GA from most wearable on analysis However, focus inertial data methods sensors. existing","However, most existing wearable GA methods focus on data analysis from inertial sensors.",388
+"gait is proposed. estimating of parameters spatial-temporal Secondly, a algorithm the for GA","Secondly, a GA algorithm for estimating the spatial-temporal parameters of gait is proposed.",389
+image We single shading. decomposing reflectance of a into the address problem and,We address the problem of decomposing a single image into reflectance and shading.,390
+smooth local fittings within pixel shading. low-order The of regions for are used pairs,The low-order fittings are used for pixel pairs within local regions of smooth shading.,391
+"both they capture shading. global variations of can and structure Together, order the local","Together, they can capture both global order structure and local variations of the shading.",392
+"Particularly persists resting associated connectivity, good that a performance into with state. is the sticky","Particularly good performance is associated with a sticky connectivity, that persists into the resting state.",393
+on cases in-between is outliers are The wherein normal noises. focus present,The focus is on cases wherein outliers are present in-between normal noises.,394
+algorithm resulting The based DPM (DPM-RPF). is termed PF robust,The resulting algorithm is termed DPM based robust PF (DPM-RPF).,395
+"signals bases. the modeling, coefficients cannot spanned data LP same by interpolation In distinguish","In data modeling, LP coefficients cannot distinguish signals spanned by the same interpolation bases.",396
+relationship establish series. LP also between the Taylor We and,We also establish the relationship between LP and Taylor series.,397
+registration global of This the to perform is employed colon positions. representation two first,This representation is employed to first perform global registration of the two colon positions.,398
+heritage the all the asset the of Cultural peoples is world. of,Cultural heritage is the asset of all the peoples of the world.,399
+cultural inheritance progress is preservation the of and The conducive heritage human of civilization. to,The preservation and inheritance of cultural heritage is conducive to the progress of human civilization.,400
+"are creation-era some materials. However, the left reference to due of still lack undetermined with","However, some are still left with creation-era undetermined due to the lack of reference materials.",401
+"to be skills. exhibit must In acceptable, order they socio-communicative","In order to be acceptable, they must exhibit socio-communicative skills.",402
+is relationship. The geometric typical containment/nesting inter-class a,The containment/nesting is a typical inter-class geometric relationship.,403
+and multi-class nested-class-prior loss corresponding function. combined activation the proposing function The its is by,The nested-class-prior is combined by proposing the multi-class activation function and its corresponding loss function.,404
+"When on training retrain we the fixed, the model are parameters the dataset. whole","When the parameters are fixed, we retrain the model on the whole training dataset.",405
+"testing depend and providing testing limited coverage. fixed a on mainly approaches datasets, pre-defined Existing","Existing testing approaches mainly depend on fixed and pre-defined datasets, providing a limited testing coverage.",406
+design with a and present developers. experiences We insights participatory into AI,We present experiences and insights into a participatory design with AI developers.,407
+sparsity. these correlation network through part A contains redundancy and significant features of typically,A significant part of these network features typically contains redundancy through correlation and sparsity.,408
+"frequent. real the are applications, problems constraints very In monotonicity with","In real applications, the problems with monotonicity constraints are very frequent.",409
+useful Changing labels this. set the (relabelling) the of for class data is,Changing the class labels of the data set (relabelling) is useful for this.,410
+a under-constrained decomposition image Intrinsic severely problem. is,Intrinsic image decomposition is a severely under-constrained problem.,411
+the of can reduce help the interactions decomposition to considerably. ambiguity User,User interactions can help to reduce the ambiguity of the decomposition considerably.,412
+method. This of while annotation minimizes maximizing segmentation a the performance image effort human semantic,This minimizes human annotation effort while maximizing the performance of a semantic image segmentation method.,413
+on several We our synthetic approach evaluate datasets.,We evaluate our approach on several synthetic datasets.,414
+"retrained. neural To tested been an convolutional object, have and networks different classify","To classify an object, different convolutional neural networks have been tested and retrained.",415
+with enriched analysis. is concept analysis Soft concept synonymous,Soft concept analysis is synonymous with enriched concept analysis.,416
+"calibration Thus, avoid and we handcrafted feature approaches. from error-prone classical hand-eye tracking","Thus, we avoid error-prone hand-eye calibration and handcrafted feature tracking from classical approaches.",417
+"WSI a the the approaches, mitotic assess CNN performs segmentation activity. For to both of","For both approaches, the CNN performs a segmentation of the WSI to assess mitotic activity.",418
+obtained results show is that the The experimental significantly relevance improved.,The obtained experimental results show that the relevance is significantly improved.,419
+R describes the This paper mvLSW. package,This paper describes the R package mvLSW.,420
+This accepted the has Statistical Software. Journal paper of by been,This paper has been accepted by the Journal of Statistical Software.,421
+present medical We visualization important use feedback expert framework. cases and also for our,We also present important use cases and medical expert feedback for our visualization framework.,422
+can assigned transformations images to the misregistration. also to The MvMM embed the correct,The MvMM can also embed transformations assigned to the images to correct the misregistration.,423
+for iterated is algorithm The optimization. mode conditional adopted,The iterated conditional mode algorithm is adopted for optimization.,424
+"quantification the LA projects segmentation onto of analysis It the and surface, for resulting scarring.","It projects the resulting segmentation onto the LA surface, for quantification and analysis of scarring.",425
+achieved in progress Planning years. significant recent has,Planning has achieved significant progress in recent years.,426
+novel parameterization. work framework for mesh This spherical presents a,This work presents a novel framework for spherical mesh parameterization.,427
+histology a breast cancer. analysis Microscopic image detection in early of cornerstone is,Microscopic histology image analysis is a cornerstone in early detection of breast cancer.,428
+Thus high this is in process demand. automating,Thus automating this process is in high demand.,429
+"design cooperative a a realistic Quizbowl. We question task, using human-computer answering grounded, setting","We design a grounded, realistic human-computer cooperative setting using a question answering task, Quizbowl.",430
+also guidance human-in-the-loop language provide design We natural settings. for processing,We also provide design guidance for natural language processing human-in-the-loop settings.,431
+Models long-time the numerically behaviour to analysed examine and solved and are distribution. auxin,Models are analysed and solved numerically to examine the long-time behaviour and auxin distribution.,432
+region feasibility recognition. using the paper This expression for investigates of the periocular,This paper investigates the feasibility of using the periocular region for expression recognition.,433
+solve Most face. by works this tried the to have whole analyzing,Most works have tried to solve this by analyzing the whole face.,434
+of the the immediate facial eye. vicinity is in the Periocular region,Periocular is the facial region in the immediate vicinity of the eye.,435
+introducing acquisition network achieve We design. data goal by and training innovations on this several,We achieve this goal by introducing several innovations on training data acquisition and network design.,436
+styles. classifying artistic mostly into been on different art artworks has focused analysis Automatic,Automatic art analysis has been mostly focused on classifying artworks into different artistic styles.,437
+"We for present multi-modal art semantic understanding. dataset SemArt, a","We present SemArt, a multi-modal dataset for semantic art understanding.",438
+"understanding when art against of compared show models human our remarkable levels Moreover, evaluation.","Moreover, our models show remarkable levels of art understanding when compared against human evaluation.",439
+simple is shallow. proposed The and network,The proposed network is simple and shallow.,440
+"deep image-level propose a method visualization bioresorbable learning-based we only scaffold for labels. Therefore, using","Therefore, we propose a deep learning-based method for bioresorbable scaffold visualization using only image-level labels.",441
+one is in sciences. Microscopy most life of essential imaging techniques the,Microscopy is one of the most essential imaging techniques in life sciences.,442
+in to research solve High-quality (potentially life-saving) images are problems. biomedical order required,High-quality images are required in order to solve (potentially life-saving) biomedical research problems.,443
+reduce or effectiveness. model in their PSF will estimated the errors Any noise,Any errors in the estimated PSF or noise model will reduce their effectiveness.,444
+We formulate programming NP-hardness. the binary and non-linear problem prove BP as a its problem,We formulate the BP problem as a non-linear binary programming problem and prove its NP-hardness.,445
+as applied illustrative voltage inverter a source is an example. This droop-controlled to theory,This theory is applied to a droop-controlled voltage source inverter as an illustrative example.,446
+a information work presents fusion This for source method localization applications. in,This work presents a method for information fusion in source localization applications.,447
+computed tomography identification decomposition. potential has material great Spectral in (CT) a and,Spectral computed tomography (CT) has a great potential in material identification and decomposition.,448
+"reconstruction reconstruction Then, named basic technique algebraic a material (MSART). method simultaneous develop we material","Then, we develop a basic material reconstruction method named material simultaneous algebraic reconstruction technique (MSART).",449
+"subtraction. we present background a this the In letter, approach in implementing novel","In this letter, we present a novel approach in implementing the background subtraction.",450
+"for grayscale The method compressed, image the subtraction. background low-resolution uses proposed","The proposed method uses compressed, low-resolution grayscale image for the background subtraction.",451
+salient images well. found very low-resolution the to These grayscale preserve information were,These low-resolution grayscale images were found to preserve the salient information very well.,452
+The the of results proposed methodology the confirm effectiveness approach. our of,The results of the proposed methodology confirm the effectiveness of our approach.,453
+The by will such of information centralized tags a be server. maintained all,The information of all such tags will be maintained by a centralized server.,454
+security would necessary activated system found is car. be for the Once arresting it,Once it is found necessary security system would be activated for arresting the car.,455
+from using networks However parameters. usually by too suffer overfitting much the,However the networks usually suffer from overfitting by using too much parameters.,456
+use deal Dropout method overfitting. is to with widely a,Dropout is a widely use method to deal with overfitting.,457
+"track this To DropFilter, for dropout convolutional layers. method we propose a problem, new","To track this problem, we propose DropFilter, a new dropout method for convolutional layers.",458
+DropFilter filters. the outputs of some suppresses randomly,DropFilter randomly suppresses the outputs of some filters.,459
+"convolutional of DropFilter, remarkably and networks performance we Using ImageNet. the improve CIFAR on","Using DropFilter, we remarkably improve the performance of convolutional networks on CIFAR and ImageNet.",460
+sets; was competitive approach was it sequestered third. ranked on Our,Our approach was competitive on sequestered sets; it was ranked third.,461
+our the Experiments of on VOC SeeNet methods. state-of-the-art other well Pascal over superiority demonstrate,Experiments on Pascal VOC well demonstrate the superiority of our SeeNet over other state-of-the-art methods.,462
+network have of Principles been the topology widely connectome. human studied in,Principles of network topology have been widely studied in the human connectome.,463
+"real Moreover, outperforms data synthetic KITTI with data combined SDR real alone. data KITTI","Moreover, synthetic SDR data combined with real KITTI data outperforms real KITTI data alone.",464
+recently. has interests segmentation vision the one in computer been of research Semantic leading,Semantic segmentation has been one of the leading research interests in computer vision recently.,465
+"and for driving. foundation such as a autonomous robotics as serves It perception many fields,","It serves as a perception foundation for many fields, such as robotics and autonomous driving.",466
+bulk power significantly disrupt delivery. of power transformer a failure can sudden A,A sudden failure of a power transformer can significantly disrupt bulk power delivery.,467
+"band small. normal the is the SNR width operations, During of","During normal operations, the width of the SNR band is small.",468
+"present approach, different a the capabilities. We by aforementioned inspired human","We present a different approach, inspired by the aforementioned human capabilities.",469
+the question. approach on based is structure the The compositional of,The approach is based on the compositional structure of the question.,470
+of answered corresponding to its substructures. by be procedures can a composition consequently The question,The question can consequently be answered by a composition of procedures corresponding to its substructures.,471
+"representation object a classes, patterns for include and These properties relations. parametric","These patterns include a parametric representation for object classes, properties and relations.",472
+"base an external In for queried is addition, common-knowledge. required knowledge","In addition, an external knowledge base is queried for required common-knowledge.",473
+resonance the disease. in and management magnetic Cardiac diagnosis (CMR) is of extensively cardiovascular used,Cardiac magnetic resonance (CMR) is used extensively in the diagnosis and management of cardiovascular disease.,474
+"this methods to existing pay However, resolution attention discrepancy person ReID problem. most little","However, most existing person ReID methods pay little attention to this resolution discrepancy problem.",475
+original according images to and resolutions. their first training categorize quantify We,We first quantify and categorize original training images according to their resolutions.,476
+"previous and state-of-the-art methods a large our whistles, by outperforms margin. Without approach bells","Without bells and whistles, our approach outperforms previous state-of-the-art methods by a large margin.",477
+requires This memory similarity compact computation. efficient representation storage minimal enables and,This compact representation requires minimal memory storage and enables efficient similarity computation.,478
+"vision drones, as smartphones, headsets such and Mobile our are revolutionizing systems augmented-reality lives.","Mobile vision systems such as smartphones, drones, and augmented-reality headsets are revolutionizing our lives.",479
+trade-offs. offer each resource-accuracy NestDNN deep to learning flexible enables model,NestDNN enables each deep learning model to offer flexible resource-accuracy trade-offs.,480
+manners. Fault analysis often are bad in processed and data separate,Fault analysis and bad data are often processed in separate manners.,481
+The the based is design in theory observer paper. approach presented this on,The design approach based on the observer theory is presented in this paper.,482
+in eigenvalues the excessive subspace. it designing in However the freedom loses,However it loses freedom in designing the eigenvalues in the excessive subspace.,483
+"general, While to design theoretical analysis dedicated the lines. transmission framework and are is the","While the theoretical framework is general, the analysis and design are dedicated to transmission lines.",484
+"exchange so, By information overheads. it performance strikes and good tradeoff between gains a doing","By doing so, it strikes a good tradeoff between performance gains and information exchange overheads.",485
+in role analysis segmentation Cloud modeling. crucial climate for a image plays,Cloud segmentation plays a crucial role in image analysis for climate modeling.,486
+training for segmentation and labeling Manually the data time-consuming is cloud error-prone.,Manually labeling the training data for cloud segmentation is time-consuming and error-prone.,487
+extensively been analyze have to and Adversarial synthesize used biomedical images. techniques,Adversarial techniques have been extensively used to synthesize and analyze biomedical images.,488
+broadcasting and cameras sports Calibrating important for analysis. sports autonomous is,Calibrating sports cameras is important for autonomous broadcasting and sports analysis.,489
+"a First, pose engine. we camera develop novel","First, we develop a novel camera pose engine.",490
+synthetic real both our on We and evaluate method data.,We evaluate our method on both synthetic and real data.,491
+in used Supervised are methods learning. widely machine learning,Supervised learning methods are widely used in machine learning.,492
+"limits in data of lack these However, the technologies. existing application the labels of","However, the lack of labels in existing data limits the application of these technologies.",493
+"of visual cognition that, and VIL. perception two main processes are Note","Note that, perception and cognition are two main visual processes of VIL.",494
+the Analyzing process. fashion essential in design is fashion attributes,Analyzing fashion attributes is essential in the fashion design process.,495
+"different ability such is careers In fashion in useful abstraction with fact, purposes. many","In fact, such abstraction ability is useful in many fashion careers with different purposes.",496
+"fashion a this In recognizing propose project, for we approach data-driven attributes.","In this project, we propose a data-driven approach for recognizing fashion attributes.",497
+"becomes the large channel In non-stationary. spatially MIMO a with system arrays, massive","In a massive MIMO system with large arrays, the channel becomes spatially non-stationary.",498
+equivalent also precoders. SINR approximate ZF provide of of deterministic We the an,We also provide an approximate deterministic equivalent of the SINR of ZF precoders.,499
+is screening. applied of breast tools one cancer early the Mammography most commonly for,Mammography is one of the most commonly applied tools for early breast cancer screening.,500
+patches with by automatically. or methods image mainly these deal extracting challenges mass-centered manually Existing,Existing methods deal with these challenges mainly by extracting mass-centered image patches manually or automatically.,501
+"have to block designed Especially, three AU merits. is the","Especially, the AU block is designed to have three merits.",502
+"information loss by compensates of Firstly, the upsampling bilinear it upsampling. dense","Firstly, it compensates the information loss of bilinear upsampling by dense upsampling.",503
+"method Secondly, effective features. designs and a more low-level high- it fuse to","Secondly, it designs a more effective method to fuse high- and low-level features.",504
+"highlight function Thirdly, a rich-information includes channels. it channel-attention to","Thirdly, it includes a channel-attention function to highlight rich-information channels.",505
+"publicly We CBIS-DDSM available evaluated the on proposed two INbreast. method datasets, and","We evaluated the proposed method on two publicly available datasets, CBIS-DDSM and INbreast.",506
+"a NDA is this paper, for In proposed. algorithm QPSK SNR signal estimation","In this paper, a NDA SNR estimation algorithm for QPSK signal is proposed.",507
+that vision is technology. for failures to are This inherent detecting necessary,This is necessary for detecting failures that are inherent to vision technology.,508
+unsurpassed MIMO bound. equivalent The was (WF-MIMO) as channel water-filling SE capacity an upper treated,The equivalent MIMO water-filling (WF-MIMO) channel capacity was treated as an unsurpassed SE upper bound.,509
+"benchmark Recently, proposed performance researchers schemes trying the approach the to bound. various have and","Recently, researchers have proposed various schemes trying to approach the benchmark and the performance bound.",510
+"are (RF) the with mmWave of they radio-frequency But, limit chains? MIMO real systems reduced","But, are they the real limit of mmWave MIMO systems with reduced radio-frequency (RF) chains?",511
+"That bound GBMM the is, SE. renews the upper of","That is, GBMM renews the upper bound of the SE.",512
+derived SNR The the in regime. best solution is high,The best solution is derived in the high SNR regime.,513
+We realize optimized coding precoder the activation. approach propose a to,We propose a coding approach to realize the optimized precoder activation.,514
+extension is also An to communications discussed. broadband mmWave,An extension to mmWave broadband communications is also discussed.,515
+"date, consecutive flow estimation optical into pairs frames take only methods account. top-performing of To","To date, top-performing optical flow estimation methods only take pairs of consecutive frames into account.",516
+"in conducted by Safety BSMs Pilot the were used. generated Michigan, Arbor, Model Deployment Ann","BSMs generated by the Safety Pilot Model Deployment conducted in Ann Arbor, Michigan, were used.",517
+module train specialized multiple propose networks to instead. We,We propose to train multiple specialized module networks instead.,518
+the is subset module classes. trained of to recognize a Each action,Each module is trained to recognize a subset of the action classes.,519
+data-driven techniques. method geometric that a We traditional and understanding introduce couples,We introduce a method that couples traditional geometric understanding and data-driven techniques.,520
+"antenna be as In addition, spatial can and transmission per full achieved well. diversity equal-power","In addition, equal-power transmission per antenna and full spatial diversity can be achieved as well.",521
+problem using the student-project We describe simulated a allocation annealing. to solution,We describe a solution to the student-project allocation problem using simulated annealing.,522
+"has an iterative algorithm the the to If axis axis. developed unknown, estimate is been","If the axis is unknown, an iterative algorithm has been developed to estimate the axis.",523
+simulated The using alpha-helices. is methodology illustrated protein,The methodology is illustrated using simulated protein alpha-helices.,524
+consider the of problem person re-identification. We video-based,We consider the problem of video-based person re-identification.,525
+a videos is person goal from captured cameras. to different under identify The,The goal is to identify a person from videos captured under different cameras.,526
+frame on generates each based features. score method frame-level attention an Our for,Our method generates an attention score for each frame based on frame-level features.,527
+performance. Extensive the achieves experiments datasets state-of-the-art demonstrate on benchmark method our that two,Extensive experiments on two benchmark datasets demonstrate that our method achieves the state-of-the-art performance.,528
+goal if exposure present The know the distortions. is to video,The goal is to know if the video present exposure distortions.,529
+"system. important local a for as kind human visual provide information variations, Image of textures,","Image textures, as a kind of local variations, provide important information for human visual system.",530
+technique develop We the threshold accuracy. to of a mechanism improve adaptive recognition,We develop a technique of adaptive threshold mechanism to improve the recognition accuracy.,531
+paper this the derived proofs functions. are in the Dempster-Shafer of framework All in belief,All the proofs in this paper are derived in the framework of Dempster-Shafer belief functions.,532
+"solution iterative through Source Achieves Model. a the Graphical Hermitian Sparse Super-Resolution, Second: of","Second: Achieves Super-Resolution, through the iterative solution of a Sparse Hermitian Source Graphical Model.",533
+Dimensional High Complex the efficiently in of Tackles Third: estimation set up connectivity. and,Third: Tackles efficiently in High Dimensional and Complex set up the estimation of connectivity.,534
+Association. two employ Object methods Detection steps: and MOT Data Most,Most MOT methods employ two steps: Object Detection and Data Association.,535
+few the years deep in detection learning. tremendous last progress made Object has to due,Object detection has made tremendous progress in the last few years due to deep learning.,536
+the to affinities between objects frames. different in compute,to compute affinities between the objects in different frames.,537
+appearing frames. also multiple and between for video DAN disappearing accounts objects,DAN also accounts for multiple objects appearing and disappearing between video frames.,538
+"of the and of formulation our ranging. simulations Finally, we lidar demonstrate via effectiveness algorithm","Finally, we demonstrate the effectiveness of our formulation and algorithm via simulations of lidar ranging.",539
+"bootstrap illustrate studies. Moreover, methods develop we via numerical inference and our","Moreover, we develop bootstrap inference and illustrate our methods via numerical studies.",540
+through motions signals. WiFi be recognized human that and positions Recent research can shown has,Recent research has shown that human motions and positions can be recognized through WiFi signals.,541
+"In propose paper, we human this system. activities recognition WiFi-based a Wi-Motion,","In this paper, we propose Wi-Motion, a WiFi-based human activities recognition system.",542
+Definite (SPD) space The Symmetric matrices matrices. geometry is that the covariance of Positive of,The space geometry of the covariance matrices is that of Symmetric Positive Definite (SPD) matrices.,543
+The a single multiple processes independent problem anomalous considered. of is detecting among process,The problem of detecting a single anomalous process among multiple independent processes is considered.,544
+demonstrate performance for finite Simulation strong results both regime scenarios. in the,Simulation results demonstrate strong performance in the finite regime for both scenarios.,545
+"and necessary image The data diagnosis, lesion is within prognosis. for of identification treatment medical","The identification of lesion within medical image data is necessary for diagnosis, treatment and prognosis.",546
+"the knowledge. specialized laborious images medical highly is labeling requiring in lesion However,","However, labeling the lesion in medical images is laborious requiring highly specialized knowledge.",547
+"frames. could and also contain lot video of sequence irrelevant a a redundant Nevertheless,","Nevertheless, a video sequence could also contain a lot of redundant and irrelevant frames.",548
+to of a interest task. challenging How critical is information locate,How to locate critical information of interest is a challenging task.,549
+maps out modulating threshing and Suppression the by achieved activations. feature is weak,Suppression is achieved by modulating the feature maps and threshing out weak activations.,550
+next updated feature then The maps used in iteration. are the,The updated feature maps are then used in the next iteration.,551
+"multiple video is on summaries. based Finally, classified the","Finally, the video is classified based on multiple summaries.",552
+classification datasets. method achieves video multiple out- in standing proposed The performances,The proposed method achieves out- standing performances in multiple video classification datasets.,553
+"addition, nearly removes our all method In tuning. hyperparameters","In addition, our method nearly removes all hyperparameters tuning.",554
+methods Analysis Decision and fields widely used in Multi-Criteria (MCDA) various disciplines. are,Multi-Criteria Decision Analysis (MCDA) methods are widely used in various fields and disciplines.,555
+"as MCDA methods of different recommendations, results. improper inconsistent application Their deliver the decreases quality","Their improper application decreases the quality of recommendations, as different MCDA methods deliver inconsistent results.",556
+at framework for web public a platform proposed was use implemented The within available www.mcda.it.,The proposed framework was implemented within a web platform available for public use at www.mcda.it.,557
+to more learning. One they transfer of amenable that policies is advantage are deep reactive,One advantage of deep reactive policies is that they are more amenable to transfer learning.,558
+on underscore of our three benchmark the Experiments domains algorithm. transfer value different,Experiments on three different benchmark domains underscore the value of our transfer algorithm.,559
+"unavailable. collected, dataset independently for are were and HS-SWIR the The datasets metadata","The datasets were independently collected, and metadata for the HS-SWIR dataset are unavailable.",560
+local often on overlook are built (e.g. models the and challenges Current generative key convolutions,Current generative models are often built on local convolutions and overlook the key challenges (e.g.,561
+of given degrees different Warping-GAN transformation is distinct controlling poses. capable target,Warping-GAN is capable of controlling different transformation degrees given distinct target poses.,562
+"any Moreover, enough light-weight proposed into the to is networks. be flexible warping-block and injected","Moreover, the proposed warping-block is light-weight and flexible enough to be injected into any networks.",563
+this enough attenuation. without DNN retraining several single to any We noise concatenate provide times,We concatenate this single DNN several times without any retraining to provide enough noise attenuation.,564
+planning (MTS) inspiration This from Search Target algorithm Moving algorithms. draws,This planning algorithm draws inspiration from Moving Target Search (MTS) algorithms.,565
+"results effectiveness Finally, evaluation we the show of that demonstrate our approach.","Finally, we show evaluation results that demonstrate the effectiveness of our approach.",566
+quality images data. problem from the address We high MRI reconstructing of undersampled,We address the problem of reconstructing high quality images from undersampled MRI data.,567
+problem. highly This due task to nature challenging a the of ill-posed the is,This is a challenging task due to the highly ill-posed nature of the problem.,568
+"AI of one (VA) in priorities alignment"" research. as is ""Value top the considered","""Value alignment"" (VA) is considered as one of the top priorities in AI research.",569
+"""mimetic"" forms begins distinct by isolating and of paper VA: two ""anchored."" The","The paper begins by isolating two distinct forms of VA: ""mimetic"" and ""anchored.""",570
+approach better which it Then naturalistic VA discusses fallacy. the avoids,Then it discusses which VA approach better avoids the naturalistic fallacy.,571
+the for approaches implications VA The discussion that stumbling blocks reveals of neglect naturalistic fallacy.,The discussion reveals stumbling blocks for VA approaches that neglect implications of the naturalistic fallacy.,572
+this instantiation attracted from fourth academia the industry. both workshop interest and of The significant,The fourth instantiation of this workshop attracted significant interest from both academia and the industry.,573
+"an propose approach. To analysis address we instant efficient critical this,","To address this, we propose an efficient critical instant analysis approach.",574
+demonstrate a mechanical method our of and it validate models variety on We tests. with,We demonstrate our method on a variety of models and validate it with mechanical tests.,575
+model predominant approaches for compression. one Channel is of pruning the deep,Channel pruning is one of the predominant approaches for deep model compression.,576
+the method. effectiveness of Extensive experiments demonstrate our,Extensive experiments demonstrate the effectiveness of our method.,577
+"two out forehead key point nose-mouth. detection Initially, carried is facial subregions: and on","Initially, key point detection is carried out on two facial subregions: forehead and nose-mouth.",578
+"interest. unstable removing the of After to filtering features, is temporal applied frequencies isolate","After removing unstable features, the temporal filtering is applied to isolate frequencies of interest.",579
+This the component. enable each peaks locate in positions to of will,This will enable to locate the positions of peaks in each component.,580
+"resulting II the Type-I, we and design problem, Through three filters: prototype III.","Through the resulting problem, we design three prototype filters: Type-I, II and III.",581
+with gaps. presented stimulus Most a from gathering decisions require different information,Most decisions require information gathering from a stimulus presented with different gaps.,582
+"ambiguous. process Indeed, rarely integration the brain this of is","Indeed, the brain process of this integration is rarely ambiguous.",583
+"the TanDEM-X with SAR map terrain unprecedented accuracy. Recently, provided interferometry a global mission bistatic","Recently, the bistatic SAR interferometry mission TanDEM-X provided a global terrain map with unprecedented accuracy.",584
+This of is Weighted previously usually done DEM (WA) cells. by aligned Averaging,This is usually done by Weighted Averaging (WA) of previously aligned DEM cells.,585
+a fully is The Neural Network (ANN). modeled connected using Artificial prediction,The prediction is modeled using a fully connected Artificial Neural Network (ANN).,586
+learning re-visits the problem by approach. an binarization introducing The adversarial paper,The paper re-visits the binarization problem by introducing an adversarial learning approach.,587
+the networks adversarial increase By we can the jointly two our of system. training robustness,By jointly training the two networks we can increase the adversarial robustness of our system.,588
+"learn noteworthy it model from that Also, is our unpaired can data.","Also, it is noteworthy that our model can learn from unpaired data.",589
+method suggest superior the Experimental proposed datasets. used that achieves performance results over DIBCO widely,Experimental results suggest that the proposed method achieves superior performance over widely used DIBCO datasets.,590
+long-range is Learning fundamental relations image/video to recognition. to capture,Learning to capture long-range relations is fundamental to image/video recognition.,591
+"observation remote volume huge diverse data. provide Currently, numerous satellites sensing a of earth","Currently, numerous remote sensing satellites provide a huge volume of diverse earth observation data.",592
+"of is this For semi-global multi-sensor in the applicability this matching investigated unconventional setting. purpose,","For this purpose, the applicability of semi-global matching is investigated in this unconventional multi-sensor setting.",593
+"the illumination sensitive to is However, changes. noise and LBP","However, the LBP is sensitive to noise and illumination changes.",594
+zero a We trigonometric the level set curve model as of the polynomial.,We model the curve as the zero level set of a trigonometric polynomial.,595
+images. RadSynth synthetic traditional entropy images produced excellent compared GLCM to entropy,RadSynth produced excellent synthetic entropy images compared to traditional GLCM entropy images.,596
+"In a single can pixel. a one observed in setting, be general surface more than","In a general setting, more than one surface can be observed in a single pixel.",597
+stitching by image limitations these We optimization. in boundaries with regular unified formulating a address,We address these limitations by formulating image stitching with regular boundaries in a unified optimization.,598
+"to Moreover, among lead cost will motion motion patterns recognition. users irregular for computation expensive","Moreover, irregular motion patterns among users will lead to expensive computation cost for motion recognition.",599
+"monotone accelerating algorithms package for iterative discuss SQUAREM slow, R which We exhibit convergence.","We discuss R package SQUAREM for accelerating iterative algorithms which exhibit slow, monotone convergence.",600
+EM-like provides algorithms. of iterative algorithm speed-up Squared scheme (Squarem) significant,Squared iterative scheme (Squarem) algorithm provides significant speed-up of EM-like algorithms.,601
+MRFs to algorithms. in general in intractable work approximation resorts related and Inference is,Inference in MRFs is intractable in general and related work resorts to approximation algorithms.,602
+a and second Our to is contribution faster develop approach. second,Our second contribution is to develop a second and faster approach.,603
+"sub-optimality leverage provide Moreover, from to results we recent optimization guarantees. theory per-instance","Moreover, we leverage recent results from optimization theory to provide per-instance sub-optimality guarantees.",604
+multi-class in segmentation the image We proposed approaches problems. demonstrate,We demonstrate the proposed approaches in multi-class image segmentation problems.,605
+of spontaneous Epilepsy increase persistent the creates probability in seizures. a,Epilepsy creates a persistent increase in the probability of spontaneous seizures.,606
+videos. effective paper proposes for surveillance analysis a novel This security event in framework,This paper proposes a novel effective framework for security event analysis in surveillance videos.,607
+"as objects recognized the owners Second, monitored and well. in the real-time of are","Second, the owners of the objects are recognized and monitored in real-time as well.",608
+"will he/she this is person moves object, verified owner. any whether anyone If its be","If anyone moves any object, this person will be verified whether he/she is its owner.",609
+We impact artefacts results. controls on of the reconstruction segmentation discuss achievable further the and,We further discuss the impact of reconstruction artefacts and segmentation controls on the achievable results.,610
+"techniques. for quality an there urgent automatic image is assessment Therefore, need","Therefore, there is an urgent need for automatic image quality assessment techniques.",611
+a a on artefact synthetic based severity. predetermined also using learning approach curriculum We investigate,We also investigate a learning approach using a predetermined curriculum based on synthetic artefact severity.,612
+of methods. approach to a We quality assessment state-of-the-art our compare range,We compare our approach to a range of state-of-the-art quality assessment methods.,613
+three proposed results that clearly the achieves method state-of-the-art the on Experimental results datasets. demonstrate,Experimental results clearly demonstrate that the proposed method achieves the state-of-the-art results on three datasets.,614
+tracking is Target videos topic. new in research a hyperspectral,Target tracking in hyperspectral videos is a new research topic.,615
+"neighboring is targets step, adopted the to tracking KCF from environment. distinguish In","In the tracking step, KCF is adopted to distinguish targets from neighboring environment.",616
+"of been an there Over recent on has years, vehicles. studies autonomous the explosion","Over the recent years, there has been an explosion of studies on autonomous vehicles.",617
+from Many of amount human data drivers. large collected,Many collected large amount of data from human drivers.,618
+train networks. ways or supervised neural unsupervised alternative This to provides deep,This provides alternative supervised or unsupervised ways to train deep neural networks.,619
+potential and Its needs. accelerate collide reinforcement prepares deep the system for to naturalness learning,Its naturalness to accelerate and collide prepares the system for potential deep reinforcement learning needs.,620
+pose important Camera in vision. estimation is problem an computer,Camera pose estimation is an important problem in computer vision.,621
+"establish a alternative years, such popular correspondences. forests regression recent have become In to","In recent years, regression forests have become a popular alternative to establish such correspondences.",622
+studies (MIMO) receive system. the massive multiple-output This selection paper multiple-input antenna in,This paper studies the receive antenna selection in massive multiple-input multiple-output (MIMO) system.,623
+performance challenge of face Deeper (ii) the networks saturation.,(ii) Deeper networks face the challenge of performance saturation.,624
+the for denoising. ECNDNet outperforms demonstrate the image experiments state-of-the-art Extensive methods that,Extensive experiments demonstrate that the ECNDNet outperforms the state-of-the-art methods for image denoising.,625
+prevalence that in results This in fluctuations facilitate large extinction.,This results in large fluctuations in prevalence that facilitate extinction.,626
+"problem. learning is zero-shot way, supervised learning this into turned a In","In this way, zero-shot learning is turned into a supervised learning problem.",627
+method. benchmark show datasets four superiority the Experiments proposed our of on,Experiments on four benchmark datasets show the superiority of our proposed method.,628
+"To this, world's for open-ended the created largest TallyQA, we dataset do counting.","To do this, we created TallyQA, the world's largest dataset for open-ended counting.",629
+proposals. that new uses region algorithm We with relation a counting for propose networks,We propose a new algorithm for counting that uses relation networks with region proposals.,630
+lets efficiently Our high-resolution imagery. with method used relation be networks,Our method lets relation networks be efficiently used with high-resolution imagery.,631
+process and mutual nonverbal emotional Human in dialogs a adaptation. influence dyadic is of communication,Human nonverbal emotional communication in dyadic dialogs is a process of mutual influence and adaptation.,632
+"clearly emotions distinct be might First, visible. not","First, distinct emotions might not be clearly visible.",633
+"cause-effect variant time. transient over participants is relation Second, and","Second, participants cause-effect relation is transient and variant over time.",634
+semantically between for present similar networks obtaining dense recurrent correspondences We (RTNs) images. transformer,We present recurrent transformer networks (RTNs) for obtaining dense correspondences between semantically similar images.,635
+"several state-of-the-art semantic attained correspondence. RTNs, With is on benchmarks for performance","With RTNs, state-of-the-art performance is attained on several benchmarks for semantic correspondence.",636
+"reconstruction Nevertheless, problems. to model very has limited application seen tomographic this","Nevertheless, this model has seen very limited application to tomographic reconstruction problems.",637
+This using paper description. manipulating language natural addresses the problem of images,This paper addresses the problem of manipulating images using natural language description.,638
+sampling calibration the take to focus both step the The and scheme beam time.,The calibration step to focus the beam and the sampling scheme both take time.,639
+"preliminary method this on theory. scanning a based we In work, compressive sampling propose","In this preliminary work, we propose a scanning method based on compressive sampling theory.",640
+We new with incremental algorithm deblurring a image automatic for aggregation multi-image propose selection.,We propose a new incremental aggregation algorithm for multi-image deblurring with automatic image selection.,641
+"steps multi-image a we Here, deblurring the two process. as problem approach","Here, we approach the multi-image deblurring problem as a two steps process.",642
+datasets. We on findings our validate real several synthetic and,We validate our findings on several synthetic and real datasets.,643
+on recreational increasingly are used Vehicles Aerial Micro Cameras for mounted (MAVs) photography.,Cameras mounted on Micro Aerial Vehicles (MAVs) are increasingly used for recreational photography.,644
+"discourage estimation. locally changes Moreover, attacks filter use proposed parameters the parameter to its that","Moreover, the proposed filter locally changes its parameters to discourage attacks that use parameter estimation.",645
+classic sets. are features demonstrated novel data to The the of package through and application,The features of the package are demonstrated through application to classic and novel data sets.,646
+"approach for this work, lightweight in propose better CNNs. context we In a exploitation simple,","In this work, we propose a simple, lightweight approach for better context exploitation in CNNs.",647
+"this replacement causal However, debated. mechanism to be the continues for","However, the causal mechanism for this replacement continues to be debated.",648
+present results and genetic comparison archaeological These for data. opportunities with useful,These results present useful opportunities for comparison with archaeological and genetic data.,649
+"drawback. is to this In MPPT novel two-stage this paper, a presented method overcome","In this paper, a novel two-stage MPPT method is presented to overcome this drawback.",650
+is then P&O re-activated trace algorithm changes MPP. to small of the new,P&O algorithm is then re-activated to trace small changes of the new MPP.,651
+and the its simple. Open method operation makes implementation loop proposed cheap of,Open loop operation of the proposed method makes its implementation cheap and simple.,652
+results validate experimental methods. Simulations proposed the in the performance Matlab/Simulink and of,Simulations in Matlab/Simulink and experimental results validate the performance of the proposed methods.,653
+"generative two dimensions latent with per probability uni-modal class, density. The net only is using","The net is using only two latent generative dimensions per class, with uni-modal probability density.",654
+"Only be training are which images well perturbed. reconstructed, can","Only training images which are well reconstructed, can be perturbed.",655
+"perturbations, the For drifts empirical tentative images. of we reconstructed good well use","For good perturbations, we use the tentative empirical drifts of well reconstructed images.",656
+The predictive is sense. statistical in not usual the construct,The construct is not predictive in the usual statistical sense.,657
+of convolutional basic learn DNN defects. features parts to is The fully presented,The fully convolutional DNN is presented to learn basic features of parts defects.,658
+network shallow empirical these as thresholds. and with weights assemble We a methods fixed,We assemble these methods as a shallow network with fixed weights and empirical thresholds.,659
+training. thresholds enhance ability then and its These realize to end-to-end released adaptation are,These thresholds are then released to enhance its adaptation ability and realize end-to-end training.,660
+We testing. demonstrate experiment also samples for an only with intermediates,We also demonstrate an experiment with only intermediates samples for testing.,661
+"non-mutually ""treatments"". and/or exclusive (combinations of) continuous, Here may discrete, X include","Here X may include (combinations of) continuous, discrete, and/or non-mutually exclusive ""treatments"".",662
+treatment vector procedure of) X the our average (multi-valued) When effect(s). (a binary-valued is recovers,When X is binary-valued (multi-valued) our procedure recovers the (a vector of) average treatment effect(s).,663
+"compared to manner. reported, Significant fully-supervised networks performance in state-of-art is trained improvement a segmentation","Significant performance improvement is reported, compared to state-of-art segmentation networks trained in a fully-supervised manner.",664
+"with entities financial may resources. they by be In large fact, aided and human","In fact, they may be aided by entities with large financial and human resources.",665
+states are states less-secure our deemed These `risky' as in approach.,These less-secure states are deemed as `risky' states in our approach.,666
+show in results `risky' future identifying well performs Experimental that states. the proposed framework,Experimental results show that the proposed framework performs well in identifying future `risky' states.,667
+dataset practice. to functionality the NHANES muvis exploited declare of the We in,We exploited the NHANES dataset to declare the functionality of muvis in practice.,668
+"detection In paper, bacterial an this endomicroscopy approach images. optical for we unsupervised in propose","In this paper, we propose an unsupervised approach for bacterial detection in optical endomicroscopy images.",669
+"In the S-SPADE. propose version paper, of we a present new","In the present paper, we propose a new version of S-SPADE.",670
+paper This novel to solve a proposed predictive processing these method issues. signal,This paper proposed a novel predictive signal processing method to solve these issues.,671
+"In significant led image in sparsity-driven past decade, the reconstruction. to has improvements regularization","In the past decade, sparsity-driven regularization has led to significant improvements in image reconstruction.",672
+"such total rely as of sparsity. (TV), on variation regularizers, analytical models Traditional","Traditional regularizers, such as total variation (TV), rely on analytical models of sparsity.",673
+"inspired from deep is towards moving models, trainable the However, learning. increasingly field","However, increasingly the field is moving towards trainable models, inspired from deep learning.",674
+DIP regularization. combining with paper This framework extends TV traditional by the the it,This paper extends the DIP framework by combining it with the traditional TV regularization.,675
+ask we from to we alone? signals brain see what recognize computers Can,Can we ask computers to recognize what we see from brain signals alone?,676
+"significantly state-of-the-art obtains models. existing surpassing proposed results, The novel architecture other","The proposed novel architecture obtains state-of-the-art results, significantly surpassing other existing models.",677
+of the glaucoma feasibility Conclusion: in grading experiments deep technology the demonstrated severity. The learning,Conclusion: The experiments demonstrated the feasibility of the deep learning technology in grading glaucoma severity.,678
+"fail brain neuroactivity. analysis capture linear techniques may However, of nonlinearity to dimensionality","However, linear dimensionality analysis techniques may fail to capture nonlinearity of brain neuroactivity.",679
+networks. to is convolutional needed regularize dropout structured a of Thus form,Thus a structured form of dropout is needed to regularize convolutional networks.,680
+networks. Extensive works that show than in better dropout convolutional DropBlock experiments regularizing,Extensive experiments show that DropBlock works better than dropout in regularizing convolutional networks.,681
+"experiments, in found cells been organize such In aggregates. have many to","In many such experiments, cells have been found to organize in aggregates.",682
+cancer breast present in cultures vitro exhibiting cells We patterns. of of new three-dimensional results,We present new results of three-dimensional in vitro cultures of breast cancer cells exhibiting patterns.,683
+This patterns. illustrated simulations model result two-dimensional is showing of by the spheroidal,This result is illustrated by two-dimensional simulations of the model showing spheroidal patterns.,684
+of in We the in estimation images domain. the problem frequency address motion operating,We address the problem of motion estimation in images operating in the frequency domain.,685
+detection is crucial real-life Novelty applications. for,Novelty detection is crucial for real-life applications.,686
+"to in While common closed-set is it activity assume recognition i.e. setting, a","While it is common in activity recognition to assume a closed-set setting, i.e.",687
+"of samples test is assumption categories, are in real-world scenario. this a training always impractical","test samples are always of training categories, this assumption is impractical in a real-world scenario.",688
+be never can training. including seen samples those before during of categories various Test,Test samples can be of various categories including those never seen before during training.,689
+"each the portal, tallied For compared and our capabilities. available assessment","For each portal, our assessment compared and tallied the available capabilities.",690
+of include strengths its The metabolic and tools. KEGG genomic,The strengths of KEGG include its genomic and metabolic tools.,691
+Bacteria Ensembl of number its strengths large genomic of genomes. include and The tools,The strengths of Ensembl Bacteria include its genomic tools and large number of genomes.,692
+genomic and its of metabolic tools include strengths KBase The models.,The strengths of KBase include its genomic tools and metabolic models.,693
+"existing appealing our RGB-D detection properties. object several to frameworks, has approach Compared","Compared to existing RGB-D object detection frameworks, our approach has several appealing properties.",694
+characteristics the the significant also resulting of ED. firing differences find We in,We also find significant differences in the resulting firing characteristics of the ED.,695
+('clean' less a If the better is data) K-Means important latter option. is,If the latter is less important ('clean' data) K-Means is a better option.,696
+standard a here procedure. suggested become to simple enough The recipe is,The recipe suggested here is simple enough to become a standard procedure.,697
+usefulness An evaluation of the Job demonstrates application Corps the the method. to program empirical,An empirical application to the Job Corps program evaluation demonstrates the usefulness of the method.,698
+"studies structures. of have relatively to examined network data the FLM with applications few However,","However, relatively few studies have examined the applications of FLM to data with network structures.",699
+also utility data employed demonstrate weather the of to A is the real SFLM.,A real weather data is also employed to demonstrate the utility of the SFLM.,700
+"handwritten developed task. MOE architecture In character work, alphanumeric prototype for recognition we this a","In this work, we developed a prototype MOE architecture for handwritten alphanumeric character recognition task.",701
+digital fault tolerant candidate a is in computing for (SC) circuits. promising computing Stochastic,Stochastic computing (SC) is a promising candidate for fault tolerant computing in digital circuits.,702
+tolerance stochastic computing This estimation for utilizing fault algorithms. the of high implementing allows,This allows utilizing the high fault tolerance of stochastic computing for implementing estimation algorithms.,703
+presented is The the based proposed recently algorithm. Sparse on Kaczmarz architecture linearized-Bregman-based,The presented architecture is based on the recently proposed linearized-Bregman-based Sparse Kaczmarz algorithm.,704
+thermal for The proposed approach is tested images.,The proposed approach is tested for thermal images.,705
+"identified local were and Specifically, the Generator cropped lung Lung regions by the (LRG). Region","Specifically, the local lung regions were identified and cropped by the Lung Region Generator (LRG).",706
+"were fused for obtained by features module the the fusion Lastly, feature classification. disease","Lastly, the obtained features were fused by the feature fusion module for disease classification.",707
+"our method its two and to image applied When strengths. benchmarks, validates usefulness classification","When applied to two image classification benchmarks, our method validates its usefulness and strengths.",708
+for digital used Thumbnails images. the widely over as are preview world all a,Thumbnails are widely used all over the world as a preview for digital images.,709
+existing indicate performance superior techniques. the experimental of state-of-the-art proposed over model The results the,The experimental results indicate the superior performance of the proposed model over existing state-of-the-art techniques.,710
+"Finally, and each at neuronal computed layer are compared. similarities","Finally, neuronal similarities at each layer are computed and compared.",711
+improvement significant work. over Results indicate previous,Results indicate significant improvement over previous work.,712
+change Such models dynamics neglect how interactions human over of the time. inter-related,Such models neglect the inter-related dynamics of how human interactions change over time.,713
+three groups. We evidence estimators can be that categorized into the provide,We provide evidence that the estimators can be categorized into three groups.,714
+consistently all first levels. group performs across and DGPs aggregation The well,The first group performs consistently well across all DGPs and aggregation levels.,715
+The shows for particular only competitive DGPs. performance group second,The second group shows competitive performance only for particular DGPs.,716
+group the is by The estimators. other third clearly outperformed,The third group is clearly outperformed by the other estimators.,717
+"high-resolution Regression propose for (FHR) this alignment. a Fractional video-based In paper, we Heatmap face","In this paper, we propose a Fractional Heatmap Regression (FHR) for high-resolution video-based face alignment.",718
+distribution accuracy. semantic influence segmentation on a negative Unbalanced have label could,Unbalanced semantic label distribution could have a negative influence on segmentation accuracy.,719
+"two contrast reconciles framework Our chromatic opposing and perceptual simultaneous assimilation. phenomena, known as","Our framework reconciles two opposing perceptual phenomena, known as simultaneous contrast and chromatic assimilation.",720
+"computing where detection descriptor. the ), differs the precedes phase from and","), where the detection phase precedes and differs from computing the descriptor.",721
+diagnostics Next-generation sequencing and bacterial routine technology for pathogens of genetic enables detection clinical research.,Next-generation sequencing technology enables routine detection of bacterial pathogens for clinical diagnostics and genetic research.,722
+bacterial analysis of sequencing Whole been has in genome importance epidemiologic of the pathogens.,Whole genome sequencing has been of importance in the epidemiologic analysis of bacterial pathogens.,723
+"for are applications. practical genome available sequencing-based few pipelines However, whole genotyping","However, few whole genome sequencing-based genotyping pipelines are available for practical applications.",724
+work Papyan et recent by A al.,A recent work by Papyan et al.,725
+"SBDL suggested while the patches. algorithm on CSC, operating image the for locally","suggested the SBDL algorithm for the CSC, while operating locally on image patches.",726
+"to compared performance the SBDL the on better relying demonstrates ADMM. methods, albeit Fourier-based still","SBDL demonstrates better performance compared to the Fourier-based methods, albeit still relying on the ADMM.",727
+have achieved Various been and approaches desirable results. highly proposed,Various approaches have been proposed and achieved highly desirable results.,728
+"its paired data Nevertheless, acquire. which abundant to training expensive requires are accomplishment","Nevertheless, its accomplishment requires abundant paired training data which are expensive to acquire.",729
+automatically focused generated through data. on Our paired work learning is,Our work is focused on learning through automatically generated paired data.,730
+methods network neural have (CNN) for Convolutional image achieved success recently (SR). based super-resolution great,Convolutional neural network (CNN) based methods have recently achieved great success for image super-resolution (SR).,731
+"However, attempt models CNN to improve SR most measures deep based (e.g. distortion","However, most deep CNN based SR models attempt to improve distortion measures (e.g.",732
+"PSNR, while IFC, quantified (e.g. poor quality VIF) perceptual resulting in SSIM,","PSNR, SSIM, IFC, VIF) while resulting in poor quantified perceptual quality (e.g.",733
+"as human such opinion score, measures quality NIQE). no-reference","human opinion score, no-reference quality measures such as NIQE).",734
+ineffective partially. either only tackle the methods or The existing are problem,The existing methods either are ineffective or only tackle the problem partially.,735
+ii) the Constraints different imposed parametrization on to simultaneously. train be modules can,ii) Constraints can be imposed on the parametrization to train different modules simultaneously.,736
+"constraints inference. as joint training the call and ""cooperative enable We these losses"" they","We call these constraints ""cooperative losses"" as they enable the joint training and inference.",737
+structure discovery are thematic models used widely for text. Topic in,Topic models are widely used for thematic structure discovery in text.,738
+at hand. topic inference procedures often dedicated But traditional tasks models for specific require,But traditional topic models often require dedicated inference procedures for specific tasks at hand.,739
+"word-level designed are Also, generate representations. to they semantic not","Also, they are not designed to generate word-level semantic representations.",740
+"produce generator Meanwhile, word-level the could also semantic representations.","Meanwhile, the generator could also produce word-level semantic representations.",741
+"ATM from articles. news to meaningful able events extract is Moreover,","Moreover, ATM is able to extract meaningful events from news articles.",742
+examination conduct empirical of Convolutional seven Network Neural a We (CNN) architectures. thorough,We conduct a thorough empirical examination of seven Convolutional Neural Network (CNN) architectures.,743
+Different could under regularization the be terms model. same evaluated,Different regularization terms could be evaluated under the same model.,744
+"in degradation the be solved could by out-of-focus speckle setup Moreover, easily. light illumination entailed","Moreover, the degradation entailed by out-of-focus light could be solved in speckle illumination setup easily.",745
+the datasets two proposed of effectiveness The demonstrates on the approach. benchmark performance,The performance on two benchmark datasets demonstrates the effectiveness of the proposed approach.,746
+"worse, and To color existing matters the real make spaces. overlapped faces are in fake","To make matters worse, the real and fake faces are overlapped in existing color spaces.",747
+videos. dependencies and is capturing designed in The spatio-temporal long-range images non-local for module,The non-local module is designed for capturing long-range spatio-temporal dependencies in images and videos.,748
+"within optimization. to generalized we method ease the implement channel our groups non-local Moreover,","Moreover, we implement our generalized non-local method within channel groups to ease the optimization.",749
+Audio clips. labels descriptive from infer aims tagging audio to,Audio tagging aims to infer descriptive labels from audio clips.,750
+Audio of limited is size tagging challenging data due and labels. the to noisy,Audio tagging is challenging due to the limited size of data and noisy labels.,751
+the to training strategy employed ensemble address for label sample problem. re-weight is a noisy,a sample re-weight strategy is employed for ensemble training to address the noisy label problem.,752
+Science. inference is Network problem a prominent Network topology in,Network topology inference is a prominent problem in Network Science.,753
+"networks, cost. pruning to trained redundant unstructured weights can storage deep lower reduce In neural","In trained deep neural networks, unstructured pruning can reduce redundant weights to lower storage cost.",754
+"requires hardwares the it speed However, practical up inference. to of customization","However, it requires the customization of hardwares to speed up practical inference.",755
+sacrifices this But method often model accuracy.,But this method often sacrifices model accuracy.,756
+generation challenging yet Caricature interesting an is task.,Caricature generation is an interesting yet challenging task.,757
+is plausible reasonable exaggerations The face to with goal primary generate given caricatures images.,The primary goal is to generate plausible caricatures with reasonable exaggerations given face images.,758
+"data usage Moreover, models which limits largely paired some scenarios. require training their strictly","Moreover, some models require strictly paired training data which largely limits their usage scenarios.",759
+"paper, this these propose problems. In CariGAN overcome we","In this paper, we propose CariGAN overcome these problems.",760
+"data, learns CariGAN only transformations images. on of from paired paired weakly training Instead","Instead of training on paired data, CariGAN learns transformations only from weakly paired images.",761
+chirp al. presented et The algorithm Howard originally by detection,The chirp detection algorithm originally presented by Howard et al.,762
+into and integrated slotting peeling a framework. is for decoder patching designed and enhanced a,is enhanced and integrated into a peeling decoder designed for a patching and slotting framework.,763
+of is A advantage efficiency. computational its significant algorithm our,A significant advantage of our algorithm is its computational efficiency.,764
+"only dataset. the from After we KITTI sub-sequences evaluation, our kept","After our evaluation, we kept only sub-sequences from the KITTI dataset.",765
+vehicle. data collection sequences will In future of our from increase the with the we,In the future we will increase the collection of sequences with data from our vehicle.,766
+other outperforms that DUNet indicates Results state-of-the-arts.,Results indicates that DUNet outperforms other state-of-the-arts.,767
+tone. transmission light Each multiplexed unit with unique is a,Each light unit transmission is multiplexed with a unique tone.,768
+consider virus capsid the by molecular We methods of of into dynamics. proteins self-assembly a,We consider self-assembly of proteins into a virus capsid by the methods of molecular dynamics.,769
+augmented proteins are and the by coarse-grained structure-based The described interactions. by electrostatic flexible model,The proteins are flexible and described by the structure-based coarse-grained model augmented by electrostatic interactions.,770
+"supramolecular involved Previous solid e.g. the of self-assembly a studies capsid objects scale, of","Previous studies of the capsid self-assembly involved solid objects of a supramolecular scale, e.g.",771
+"and couplings engineered to with corresponding stochastic capsomeres, movements.","corresponding to capsomeres, with engineered couplings and stochastic movements.",772
+results show architecture our The that methods. other state-of-the-art outperforms,The results show that our architecture outperforms other state-of-the-art methods.,773
+when handcrafted has Learning to detection detection. feature unexplored an largely feature area been compared,Learning feature detection has been largely an unexplored area when compared to handcrafted feature detection.,774
+covariant function covariant loss use constraint their the Recent learning detectors. learn in formulations to,Recent learning formulations use the covariant constraint in their loss function to learn covariant detectors.,775
+"just from to learning detection unstable lead features. constraint covariant However, of can","However, just learning from covariant constraint can lead to detection of unstable features.",776
+"further, trained hand-crafted To to impart stability by detectors are detectors. pre-determined obtained features extract","To impart further, stability detectors are trained to extract pre-determined features obtained by hand-crafted detectors.",777
+"in However, to they the process the lose features. detect novel ability","However, in the process they lose the ability to detect novel features.",778
+image problem critical (SR) Image quality is algorithms. super-resolution a for measurement,Image quality measurement is a critical problem for image super-resolution (SR) algorithms.,779
+ophthalmologists make to Fundoscopic often investigated by abnormal lesions are spot images to diagnoses.,Fundoscopic images are often investigated by ophthalmologists to spot abnormal lesions to make diagnoses.,780
+Generative two Adversarial We techniques new (GANs). propose training Networks for,We propose two new techniques for training Generative Adversarial Networks (GANs).,781
+inverse t-SNE to We propose this. regularizer achieve an,We propose an inverse t-SNE regularizer to achieve this.,782
+between difference the discriminator of We scores constrain generated the the samples and real ones.,We constrain the difference between the discriminator scores of the real samples and generated ones.,783
+gradients the further scores. We of these difference the between constrain discriminator,We further constrain the difference between the gradients of these discriminator scores.,784
+derive of Taylor We discriminator approximations the these function. from constraints,We derive these constraints from Taylor approximations of the discriminator function.,785
+under impoverished synchronization networks harsh conditions. concerns the paper sensor infrastructure of This with,This paper concerns with the synchronization of infrastructure impoverished sensor networks under harsh conditions.,786
+"three asynchronous, suggests time synchronization It energyefficient protocols. decentralized, novel","It suggests three novel asynchronous, decentralized, energyefficient time synchronization protocols.",787
+the protocols. analysis well these protocols known outperform that the All show,All the analysis show that these protocols outperform the well known protocols.,788
+"realistic are the ones. they being more asynchronous, to synchronous relative Also,","Also, being asynchronous, they are more realistic relative to the synchronous ones.",789
+neural organization. how code raises of processes of This issue the these further the supports,This raises the further issue of how the neural code supports these processes of organization.,790
+"the However, lack an task. robots robotic in of makes exceptionally challenging intuition grasping such","However, the lack of such intuition in robots makes robotic grasping an exceptionally challenging task.",791
+grasping equally of object. often an There options several viable are,There are often several equally viable options of grasping an object.,792
+"second According official to of as statistics, cancer human is leading cause the considered fatalities.","According to official statistics, cancer is considered as the second leading cause of human fatalities.",793
+"recent our work, developed overcome shortcoming. to In CapsNets newly have incorporated this we","In our recent work, we have incorporated newly developed CapsNets to overcome this shortcoming.",794
+"to CapsNets image background. sensitive highly are, miscellaneous the however,","CapsNets are, however, highly sensitive to the miscellaneous image background.",795
+approach its outperforms noticeably proposed counterparts. The,The proposed approach noticeably outperforms its counterparts.,796
+with based Resampling is it because flow disocclusions. on deal cannot insufficient,Resampling based on flow is insufficient because it cannot deal with disocclusions.,797
+lead results. models blurry Generative currently to,Generative models currently lead to blurry results.,798
+Recent a by patches predicted input convolving with pixel synthesis a approaches kernel.,Recent approaches synthesis a pixel by convolving input patches with a predicted kernel.,799
+"However, increases requirement their size. memory with kernel","However, their memory requirement increases with kernel size.",800
+"spatially-displaced we (SDC) module Here, video frame prediction. convolution for","Here, we spatially-displaced convolution (SDC) module for video frame prediction.",801
+motion Our frames effectively consistent crisp and motion. handles model large synthesizes with,Our model handles large motion effectively and synthesizes crisp frames with consistent motion.,802
+requires Accurately with knowledge. a combining about answering question a general image given observations,Accurately answering a question about a given image requires combining observations with general knowledge.,803
+"with general humans, an this remains reasoning algorithmic is knowledge challenge. While for effortless","While this is effortless for humans, reasoning with general knowledge remains an algorithmic challenge.",804
+a to Bi-Real two training net We challenges. novel with propose these algorithm tackle,We propose Bi-Real net with a novel training algorithm to tackle these two challenges.,805
+if results treated early. loss Diabetic retinopathy in vision (DR) not,Diabetic retinopathy (DR) results in vision loss if not treated early.,806
+been on techniques have traditional based machine-learning (ML) Many hand-engineered introduced. features,Many traditional machine-learning (ML) techniques based on hand-engineered features have been introduced.,807
+"highlighting review this In their pros and these cons. paper, methods, we","In this paper, we review these methods, highlighting their pros and cons.",808
+validated Short-term against case model counts. projections actual were,Short-term model projections were validated against actual case counts.,809
+"forecasts. projections, consistently higher on models short-term of validation shorter-term During scored","During validation of short-term projections, models consistently scored higher on shorter-term forecasts.",810
+identification partial models nonseparable develop approach in endogeneity. for effects I with new a,I develop a new identification approach for partial effects in nonseparable models with endogeneity.,811
+authentication the provide Mobile an approaches convenience biometric with of technology. omnipresent secure,Mobile biometric approaches provide the convenience of secure authentication with an omnipresent technology.,812
+"this tuning focuses Particularly, matrix of adaptive the study fly. the weighting on a on","Particularly, this study focuses on the adaptive tuning of a weighting matrix on the fly.",813
+CNN with Classification as pre-trained features results features. were as AE discriminative,Classification results with AE features were as discriminative as pre-trained CNN features.,814
+SEQR SEQuence We Retrieval. for this method call,We call this method SEQR for SEQuence Retrieval.,815
+"transmission approaches energy. edge low and computing consume data reduce Alternatively,","Alternatively, edge computing approaches reduce data transmission and consume low energy.",816
+for WDM user. high a utilized data rate to is each attain,WDM is utilized to attain a high data rate for each user.,817
+intensity Conventional cameras information. reference low-frequency capture,Conventional cameras capture low-frequency reference intensity information.,818
+two sensor These information. complementary modalities provide,These two sensor modalities provide complementary information.,819
+"only. be the can events of conventional absence image run frames, on filter In","In absence of conventional image frames, the filter can be run on events only.",820
+"arduous placed on data An is, and hence, design burden the acquisition. framework learning","An arduous burden is, hence, placed on the learning framework design and data acquisition.",821
+called characterizing system approach mapping is identification. the A stimulus-response general function for,A general approach for characterizing the stimulus-response mapping function is called system identification.,822
+data different the the how makes about algorithm neuron Each and generated. assumptions is,Each algorithm makes different assumptions about the neuron and how the data is generated.,823
+has C++ Calling code its perils. from multi-threaded R,Calling multi-threaded C++ code from R has its perils.,824
+"R synchronize thread. with main from One can, the however,","One can, however, synchronize with R from the main thread.",825
+apply mechanism to also synchronization other frameworks. threading may The,The synchronization mechanism may also apply to other threading frameworks.,826
+"models. no type been package can fit this Until published, now, which of R has","Until now, no R package has been published, which can fit this type of models.",827
+"Meanwhile, eLIAN the of nearly the LIAN. the as quality of is same solution one","Meanwhile, the solution quality of eLIAN is nearly the same as the one of LIAN.",828
+with in subregions elevation ten were ranges. comparable replicated Analyses,Analyses were replicated in ten subregions with comparable elevation ranges.,829
+infrastructureless for is Cooperative a wireless using vehicles (UAVs) technology unmanned communication promising networks. aerial,Cooperative communication using unmanned aerial vehicles (UAVs) is a promising technology for infrastructureless wireless networks.,830
+of in throughput. backhaul communications the based challenges UAV One key the is,One of the key challenges in UAV based communications is the backhaul throughput.,831
+"investigate properties e.g., estimators, important these and We efficiency. of bias","We investigate important properties of these estimators, e.g., bias and efficiency.",832
+through also We the explore performance estimators numerical these examples. of,We also explore the performance of these estimators through numerical examples.,833
+light low noise short-exposure conditions. frames image reduced with in an provide can Merging,Merging short-exposure frames can provide an image with reduced noise in low light conditions.,834
+"to is problem. open images However, best align how before an merging","However, how best to align images before merging is an open problem.",835
+to initial form matrix translations guess are rotation homography. The and of combined the,The rotation matrix and translations are combined to form the initial guess of homography.,836
+is An more filter homography utilized unscented to a accurate estimation. Kalman provide,An unscented Kalman filter is utilized to provide a more accurate homography estimation.,837
+We the proposed with results. compare and benchmark methods to single-image multi-image favorable denoising method,We compare the proposed method to benchmark single-image and multi-image denoising methods with favorable results.,838
+approach of integrate-and-fire. means This is leaky by exemplified,This approach is exemplified by means of leaky integrate-and-fire.,839
+"present a approach we this the In stereo to photometric multi-view volumetric work, problem.","In this work, we present a volumetric approach to the multi-view photometric stereo problem.",840
+real and evaluated and is achieves state-of-the-art results. on Our synthetic data-sets approach,Our approach is evaluated on synthetic and real data-sets and achieves state-of-the-art results.,841
+kernel Gaussian approximating Fourier of truncated (trigonometric) using a problem consider the We functions.,We consider the problem of approximating a truncated Gaussian kernel using Fourier (trigonometric) functions.,842
+This fields. many processing method applicable image decomposition to is,This decomposition method is applicable to many image processing fields.,843
+"image In the paper, fusion we focus this on task.","In this paper, we focus on the image fusion task.",844
+real-world show opening We lock. a an example,We show an example opening a real-world lock.,845
+"area Noise, (like etc.) Electrical/Device Threshold, properties","Electrical/Device properties (like Noise, Threshold, area etc.)",846
+circuit in also the been discussed of this proposed work. have,of the proposed circuit have also been discussed in this work.,847
+"Generally, convolutional data a on regular networks process grid, (CNNs) e.g. neural","Generally, convolutional neural networks (CNNs) process data on a regular grid, e.g.",848
+is transportation key Driving understanding intelligent for Scene a ingredient systems.,Driving Scene understanding is a key ingredient for intelligent transportation systems.,849
+with We driving datasets. other to a of comparison detailed provide analysis a HDD,We provide a detailed analysis of HDD with a comparison to other driving datasets.,850
+"the proposed of the effectiveness we paper, using In a measure retrieval this experiment. evaluate","In this paper, we evaluate the effectiveness of the proposed measure using a retrieval experiment.",851
+has proved NP-complete Finding optimal a been order the problem. variable,Finding the optimal variable order has been proved a NP-complete problem.,852
+near-optimal this Many proposed solution have a find been heuristics problem. to of,Many heuristics have been proposed to find a near-optimal solution of this problem.,853
+extension performance applications. This beamforming enables distributed range for,This performance enables distributed beamforming for range extension applications.,854
+"Deep RNN, classification, LSTM, QRS Keywords: detection. learning, ECG Bi-directional","Keywords: ECG classification, Deep learning, RNN, Bi-directional LSTM, QRS detection.",855
+"over-burden the potential explosion data and storage likely communication to is systems. However,","However, the potential data explosion is likely to over-burden storage and communication systems.",856
+case evaluated our We using studies. approach have two,We have evaluated our approach using two case studies.,857
+are explored regarding our variables in performances several The detail. approach BSM recovery of,The recovery performances of our approach regarding several BSM variables are explored in detail.,858
+of the hardware OBU cost. show amounts potential results of The large saving,The results show the potential of saving large amounts of OBU hardware cost.,859
+Person challenging are available (re-ID) problem no re-identification for labels when is a especially training.,Person re-identification (re-ID) is a challenging problem especially when no labels are available for training.,860
+includes model. generation components: Our of virtual approach and training deep person two re-ID,Our approach includes two components: virtual person generation and training of deep re-ID model.,861
+images. bilateral with nonlocal grayscale means work Existing fast filtering for and mostly algorithms,Existing fast algorithms for bilateral and nonlocal means filtering mostly work with grayscale images.,862
+"fast bilateral In propose filtering. and for nonlocal a high-dimensional means paper, algorithm we this","In this paper, we propose a fast algorithm for high-dimensional bilateral and nonlocal means filtering.",863
+"its intense bilateral the Similar brute-force the to of requires implementation counterpart filter, computations. adaptive","Similar to the bilateral filter, the brute-force implementation of its adaptive counterpart requires intense computations.",864
+"the texture deblocking, demonstrate our and JPEG for algorithm We of effectiveness sharpening, filtering.","We demonstrate the effectiveness of our algorithm for sharpening, JPEG deblocking, and texture filtering.",865
+observable partially systems. for fully and present We formulations observable,We present formulations for fully observable and partially observable systems.,866
+"previous hallucination recovery. identity facial largely approaches However, face ignore","However, previous face hallucination approaches largely ignore facial identity recovery.",867
+"faces. of significantly improves SICNN addition, the ultra-low-resolution recognizability In","In addition, SICNN significantly improves the recognizability of ultra-low-resolution faces.",868
+object many Video advanced fundamental segmentation vision in applications. step is a,Video object segmentation is a fundamental step in many advanced vision applications.,869
+"in the similar generates test sample. backgrounds to the testing, GAN trained During that","During testing, the trained GAN generates backgrounds similar to that in the test sample.",870
+moving compared with The generated are background samples sample then objects. the to test segment,The generated background samples are then compared with the test sample to segment moving objects.,871
+"and is the layer evaluated Similarly, ComposeCaps baseline. improvement the over demonstrates an","Similarly, the ComposeCaps layer is evaluated and demonstrates an improvement over the baseline.",872
+"to compresses convolutional multi-level Specifically, proposed features. spatial DSNet uniform features the resolution","Specifically, the proposed DSNet compresses multi-level convolutional features to uniform spatial resolution features.",873
+sociology. philosophy and the models explanations between distinction these in We and on focus,We focus on the distinction between these models and explanations in philosophy and sociology.,874
+"the started lung CT be screening world. to has Therefore, used widely across all","Therefore, CT lung screening has started to be used widely all across the world.",875
+"serious However, images radiologists. a burden for analyzing these is","However, analyzing these images is a serious burden for radiologists.",876
+used class-imbalance. to Mini-batch overcome is in order,Mini-batch is used in order to overcome class-imbalance.,877
+WaveFlow. can available and algorithms data using in real-time in both Raw be processed TensorFlow,Raw data can be processed in real-time using algorithms available both in TensorFlow and WaveFlow.,878
+"B-mode processing and provides for reconstruction ops image ultrasound. (beamforming), signal WaveFlow quantitative Currently,","Currently, WaveFlow provides ops for B-mode image reconstruction (beamforming), signal processing and quantitative ultrasound.",879
+WaveFlow source be github.com/waveflow-team/waveflow at found can . code,WaveFlow source code can be found at github.com/waveflow-team/waveflow .,880
+metric this canonical characterizes for sampling. Hermann measure discrepancy threshold-based This paper making structure Weyl's,This paper characterizes this metric structure making Hermann Weyl's discrepancy measure canonical for threshold-based sampling.,881
+"spatial-temporal on maps. we global convolution apply temporal To model local relationship, feature spatial-temporal the","To model global spatial-temporal relationship, we apply temporal convolution on the local spatial-temporal feature maps.",882
+"temporal novel Xception StNet. in Specifically, is block a proposed","Specifically, a novel temporal Xception block is proposed in StNet.",883
+convolution It sequence separate video. and channel-wise temporal-wise feature the over employs of a,It employs a separate channel-wise and temporal-wise convolution over the feature sequence of video.,884
+realistic convergence of power for challenging. scalable be simulation Achieving cases can robust and flow,Achieving robust and scalable convergence for simulation of realistic power flow cases can be challenging.,885
+Table The to the reader I refer summary can for formulas. of these,The reader can refer to Table I for the summary of these formulas.,886
+"successfully recognition the learning micro-expression deep have area. Recently, methods introduced been into","Recently, deep learning methods have been successfully introduced into the micro-expression recognition area.",887
+"substantial challenges accuracy recognition in the micro-expression remain. achieved, recognition Whilst higher","Whilst the higher recognition accuracy achieved, substantial challenges in micro-expression recognition remain.",888
+"Recently, estimation antenna considered reduced with arrays hardware for have DoA been compressive complexity.","Recently, compressive antenna arrays have been considered for DoA estimation with reduced hardware complexity.",889
+on descent design gradient (SGD) stochastic is proposed grid-free The optimization. based,The proposed design is based on grid-free stochastic gradient descent (SGD) optimization.,890
+"recognition is a research research area, In problem. hot expression facial computer the","In the computer research area, facial expression recognition is a hot research problem.",891
+"circumstances. research has lab the years, from the to environment moved in-the-wild Recent","Recent years, the research has moved from the lab environment to in-the-wild circumstances.",892
+"It poses. especially under challenging, is extreme","It is challenging, especially under extreme poses.",893
+"In we the solve problem work, approach. this in opposite the","In this work, we solve the problem in the opposite approach.",894
+poses special head detect expressions consider within head We the poses. and the,We consider the head poses and detect the expressions within special head poses.,895
+"implement comparison, the forest SVM models. a prediction we as and to As random","As a comparison, we implement SVM and random forest to as the prediction models.",896
+networks found of dispersal to structures networks parasite and identical. seed host The are be,The structures of host parasite networks and seed dispersal networks are found to be identical.,897
+"To this this tackle issue, Learning Metric Point-based Distance paper. in (PDML) a we propose","To tackle this issue, we propose a Point-based Distance Metric Learning (PDML) in this paper.",898
+data methods large detection training with every logo annotations class. general-purpose for require object Existing,Existing general-purpose object detection methods require large training data with annotations for every logo class.,899
+The of branch. conditional a consists proposed segmentation branch and model a,The proposed model consists of a conditional branch and a segmentation branch.,900
+"protocol i.e. the MIMO optimization radar, analyse We that RL-based allows an","We analyse an RL-based optimization protocol that allows the MIMO radar, i.e.",901
+"sense \textit{agent}, the to iteratively i.e. environment, unknown the","the \textit{agent}, to iteratively sense the unknown environment, i.e.",902
+FC. harvesting energy of communication storing capable and for Each sensor is the with,Each sensor is capable of harvesting and storing energy for communication with the FC.,903
+that indicate are from results maximizing {\theta}k's obtained distance Our near-optimal. numerical the KL,Our numerical results indicate that {\theta}k's obtained from maximizing the KL distance are near-optimal.,904
+stereo Photometric a assumes illumination illuminated only source. that scene directly is the by,Photometric stereo assumes that a scene is illuminated only directly by the illumination source.,905
+"in effects biases shape. the recovered illumination result, indirect introduce strong inter-reflections As due to","As result, indirect illumination effects due to inter-reflections introduce strong biases in the recovered shape.",906
+approach recover scene to is presence indirect illumination. properties suggested of the in Our,Our suggested approach is to recover scene properties in the presence of indirect illumination.,907
+"of They however, points snapshot distances. from serve localize to static objects a which are,","They are, however, static objects which serve to localize points from a snapshot of distances.",908
+"If objects do motion. the expects modeling one to by the better move,","If the objects move, one expects to do better by modeling the motion.",909
+"time, squared of become time-varying functions the entries of The KEDMs distances.","The entries of KEDMs become functions of time, the squared time-varying distances.",910
+"inspired a contribution SDRs EDMs. (SDR), relaxation is by main Our for static semidefinite","Our main contribution is a semidefinite relaxation (SDR), inspired by SDRs for static EDMs.",911
+problems geometry This makes in for KEDMs dynamic of points a sets. promising tool,This makes KEDMs a promising tool for problems in geometry of dynamic points sets.,912
+density information. fully single designed utilize not Previous or for pan-density methods do are scenes,Previous methods are designed for single density scenes or do not fully utilize pan-density information.,913
+"counting. a pan-density Pan-Density (PaDNet), framework, Network propose for crowd novel the We","We propose a novel framework, the Pan-Density Network (PaDNet), for pan-density crowd counting.",914
+(ICA) Coronary the (CAD) gold in Invasive Artery imaging. angiography standard Disease is coronary,Invasive coronary angiography (ICA) is the gold standard in Coronary Artery Disease (CAD) imaging.,915
+for labels each cardiac DNN second frame. predicts phase A,A second DNN predicts cardiac phase labels for each frame.,916
+"state, or were interventions, related exclusion No formulated. patient criteria previous pathology to","No exclusion criteria related to patient state, previous interventions, or pathology were formulated.",917
+to have. imaging range is sensors a that This due dynamic limited,This is due to a limited dynamic range that imaging sensors have.,918
+"contrast various been this proposed. enhancement methods For reason, have","For this reason, various contrast enhancement methods have been proposed.",919
+function is over-enhancement. preventing used shadow-up for A,A shadow-up function is used for preventing over-enhancement.,920
+Image fundamental many graphics and disparate computer smoothing applications. vision of component a represents,Image smoothing represents a fundamental component of many disparate computer vision and graphics applications.,921
+"with are GFDM filter, prototype a single on e.g. based Some","Some are based on GFDM with a single prototype filter, e.g.",922
+"Accordingly, current consume the resources. high state art of implementations the","Accordingly, the current state of the art implementations consume high resources.",923
+by general developing gap address model a this We intelligence. for,We address this gap by developing a model for general intelligence.,924
+"accomplish focus aspects three basic of on intelligence. we this, To","To accomplish this, we focus on three basic aspects of intelligence.",925
+"we must of level. intelligence high nature at general a and realize the First, order","First, we must realize the general order and nature of intelligence at a high level.",926
+"as we realizations as Third, must possible. these describe clearly","Third, we must describe these realizations as clearly as possible.",927
+the and a order We capture to propose hierarchical exploit help within model intelligence.,We propose a hierarchical model to help capture and exploit the order within intelligence.,928
+useful econometrics. in Finite are mixture applied models,Finite mixture models are useful in applied econometrics.,929
+contaminated multiple models in also dealing with equilibria. with are models sampling convenient Mixtures and,Mixtures are also convenient in dealing with contaminated sampling models and models with multiple equilibria.,930
+power utilize to covariates implied variation. information The identification in key is the by,The key is to utilize the identification power implied by information in covariates variation.,931
+"under of conditions. presented, identification and sufficient approaches three are First, sets non-nested distinct","First, three identification approaches are presented, under distinct and non-nested sets of sufficient conditions.",932
+Observable the features is valid. data us three approaches of inform of which,Observable features of data inform us which of the three approaches is valid.,933
+"Second, results the extensions identification developed. of some are","Second, some extensions of the identification results are developed.",934
+aims instances into classify ordinal regression categories. Ordinal to,Ordinal regression aims to classify instances into ordinal categories.,935
+show BMI outperforms results that classification regression-based Experimental and categories. our at methods approach estimating,Experimental results show that our approach outperforms classification and regression-based methods at estimating BMI categories.,936
+of illustrated architecture The performance been results. simulation has this also by new,The performance of this new architecture has also been illustrated by simulation results.,937
+human of life central the and to longevity population are Estimating dynamics. expectancy the computing,Estimating the human longevity and computing of life expectancy are central to the population dynamics.,938
+"including astronomer Edmund Halley. since studied by scientists renowned aspects were seriously These fifteenth century,","These aspects were studied seriously by scientists since fifteenth century, including renowned astronomer Edmund Halley.",939
+smoothness existing of preserve use optical to the synthesized video. flow Many temporal methods the,Many existing methods use optical flow to preserve the temporal smoothness of the synthesized video.,940
+"of optical rapid flow sensitive and estimation is motions. the occlusions However, to","However, the estimation of optical flow is sensitive to occlusions and rapid motions.",941
+sensing computational Compressive for systems. imaging modern technology is a new,Compressive sensing is a new technology for modern computational imaging systems.,942
+compressive system linear a with of sensing nonlinear estimate We the model.,We estimate the nonlinear system of compressive sensing with a linear model.,943
+research Simulation available development codes are and for purposes.,Simulation codes are available for research and development purposes.,944
+"methods a rarely analyzed are Although in filter functionality. these of effective, perspective","Although effective, these methods are rarely analyzed in a perspective of filter functionality.",945
+"camera advantages In paper, we such of investigate this the designs.","In this paper, we investigate the advantages of such camera designs.",946
+a components the single to separate using specular allows and us diffuse image. essentially This,This essentially allows us to separate the diffuse and specular components using a single image.,947
+separation an to by vector. photograph a encoder object performs style mapping latent network The,The encoder network performs style separation by mapping an object photograph to a latent vector.,948
+"vector halves latent represent respectively. and content style, the Two the of","Two halves of the latent vector represent the content and style, respectively.",949
+performs The taking as generator concatenated vector input. a synthesis style by network,The generator network performs style synthesis by taking a concatenated vector as input.,950
+derived finally GBI resulting the is measured saliency integrating The of by geometric buildings.,The resulting GBI is finally measured by integrating the derived geometric saliency of buildings.,951
+selection automatic sorting. online channels meaningful of offline spike during and,automatic selection of meaningful channels during offline and online spike sorting.,952
+address to enables issues. The USC us both above-raised,The USC enables us to address both above-raised issues.,953
+(Conv convolutional net). the standard USC of The neural uses networks architecture,The USC uses the standard architecture of convolutional neural networks (Conv net).,954
+the from Hence detailed lack geometry. a suffers of method,Hence the method suffers from a lack of detailed geometry.,955
+laptop. few on a minutes take standard The calculations a,The calculations take a few minutes on a standard laptop.,956
+popular neural one (CoNNs) most belong of DNN of the networks Convolutional to types architectures.,Convolutional neural networks (CoNNs) belong to one of the most popular types of DNN architectures.,957
+for paper and presents evaluation design This an of the CoNNs. accelerator,This paper presents the design and evaluation of an accelerator for CoNNs.,958
+"is cellular The based (CeNNs). mixed-signal, neural system-level architecture networks on","The system-level architecture is based on mixed-signal, cellular neural networks (CeNNs).",959
+"of and outperforms Moreover, approaches terms in it the robustness. efficiency, accuracy, state-of-the-art","Moreover, it outperforms the state-of-the-art approaches in terms of accuracy, efficiency, and robustness.",960
+(KAF) is detection. filtering direct optical nonlinearity-tolerant Kernel for proposed adaptive,Kernel adaptive filtering (KAF) is proposed for nonlinearity-tolerant optical direct detection.,961
+its in goals. to actions order agent achieve An performs intelligent,An intelligent agent performs actions in order to achieve its goals.,962
+different values: computation of two We present dynamic. and static definitions,We present two different definitions of computation values: static and dynamic.,963
+"temporal that consistency asymptotic desirable convergence. and show as values properties, such have We these","We show that these values have desirable properties, such as temporal consistency and asymptotic convergence.",964
+"methods static computing the and propose dynamic approximating we Furthermore, and computation efficiently values. for","Furthermore, we propose methods for efficiently computing and approximating the static and dynamic computation values.",965
+element an of surgical is important Surgical education. increasingly simulation,Surgical simulation is an increasingly important element of surgical education.,966
+"adequately natural representation multidimensinal the Moreover, existing approaches to explore of HIs. the fail","Moreover, the existing approaches fail to adequately explore the natural multidimensinal representation of HIs.",967
+"solution Unfortunately, model aggregates. is help structurally to no there existing sound","Unfortunately, there is no existing solution to help model structurally sound aggregates.",968
+of external This attachment done specifying set a is forces points. by and,This is done by specifying a set of external forces and attachment points.,969
+The specified a that scenario. automatically elements the user-provided then layout of algorithm optimizes answers,The algorithm then automatically optimizes a layout of user-provided elements that answers the specified scenario.,970
+"elongated, be deform. shapes: and The to allowed convex, concave, can arbitrary can have elements","The elements can have arbitrary shapes: convex, concave, elongated, and can be allowed to deform.",971
+descent gradient through scheme. a maximized Global dedicated is rigidity,Global rigidity is maximized through a dedicated gradient descent scheme.,972
+(GSP). in Graph graph processing with signal a problem sampling fundamental noise is,Graph sampling with noise is a fundamental problem in graph signal processing (GSP).,973
+"minimize condition matrix. }, the of number the coefficient","}, minimize the condition number of the coefficient matrix.",974
+$T$ sample $K$. We perform to maximize binary given then a search budget,We then perform binary search to maximize $T$ given a sample budget $K$.,975
+predictions our shows well. perform networks that neural are able experiment to The trained,The experiment shows that our trained neural networks are able to perform predictions well.,976
+method magnitude a determine uses The unique methodology threshold. to bin a contrario,The method uses a contrario methodology to determine a unique bin magnitude threshold.,977
+"failed. of Contrast invariance, special subspace a invariance, also case","Contrast invariance, a special case of subspace invariance, also failed.",978
+"contrast, some with while increased. neurons of The responses increasing others decreased","The responses of some neurons decreased with increasing contrast, while others increased.",979
+"population generating great coarse fine-scaled population of data is significance. from Therefore, distributions","Therefore, generating fine-scaled population distributions from coarse population data is of great significance.",980
+a from on real-life collected We dataset experiments extensive Shanghai. perform mobile,We perform extensive experiments on a real-life mobile dataset collected from Shanghai.,981
+auxiliary model. after of our The runtime the without training discarded affecting networks efficiency are,The auxiliary networks are discarded after training without affecting the runtime efficiency of our model.,982
+Berkeley (BDD) shown are results Encouraging Drive Deep on also dataset.,Encouraging results are also shown on Berkeley Deep Drive (BDD) dataset.,983
+concerned frequencies is multi-dimensional paper from estimating unknown with measurements. linear compressive This,This paper is concerned with estimating unknown multi-dimensional frequencies from linear compressive measurements.,984
+theory steps. developed three in is The,The theory is developed in three steps.,985
+"theory these the them. paper semantics, The fixpoint results existence for of investigates establishing","The paper investigates the fixpoint theory of these semantics, establishing existence results for them.",986
+"in compared with Finally, theory the approaches. detail is existing","Finally, the theory is compared in detail with existing approaches.",987
+"are wrong updates tracking susceptible correlation models to inaccurate stemming results. based filter However, from","However, correlation filter based models are susceptible to wrong updates stemming from inaccurate tracking results.",988
+"update date, has correlation effort towards little To the handling been devoted problem. filter","To date, little effort has been devoted towards handling the correlation filter update problem.",989
+"we propose approach a novel In filter address update problem. this paper, the correlation to","In this paper, we propose a novel approach to address the correlation filter update problem.",990
+tackles of grayscale colorizing the challenge images. paper This,This paper tackles the challenge of colorizing grayscale images.,991
+"show colorization. task extending of We our to application model, video the an","We show an application of our model, extending the task to video colorization.",992
+and of experiments Calibration effectiveness real-world to Wizard. performed demonstrate are Synthetic the,Synthetic and real-world experiments are performed to demonstrate the effectiveness of Calibration Wizard.,993
+"does During to patches. it hide not any need testing,","During testing, it does not need to hide any patches.",994
+"scheme this segmentation. propose new we a pre-training image for based paper, U-net In","In this paper, we propose a new pre-training scheme for U-net based image segmentation.",995
+increasingly being diverse sensors many Photon are counting used in applications.,Photon counting sensors are being increasingly used in many diverse applications.,996
+information spatial effectively present measurements to in combines reduce Our temporal ConvNet-based scheme and noise.,Our ConvNet-based scheme effectively combines spatial and temporal information present in measurements to reduce noise.,997
+"we Based flow information classes. paths different on findings, the reveal for of critical such","Based on such findings, we reveal the critical paths of information flow for different classes.",998
+detect image apical slices. to then are These the representations basal used and missing,These image representations are then used to detect the missing basal and apical slices.,999
+"for However, labels are learning human inappropriate models. annotated sometimes","However, human annotated labels are sometimes inappropriate for learning models.",1000
+observed modeling and process models series Markov time powerful (POMP) Partially are for tools analysis.,Partially observed Markov process (POMP) models are powerful tools for time series modeling and analysis.,1001
+"on paper, toy two we based show utility problems. of In this methodologies the these","In this paper, we show the utility of these methodologies based on two toy problems.",1002
+"under background the of Meanwhile, algorithm the the strengthens of region. robustness it condition complex","Meanwhile, it strengthens the robustness of algorithm under the condition of the complex background region.",1003
+This presents of models. structural casual using paper contrastive a model explanation,This paper presents a model of contrastive explanation using structural casual models.,1004
+model on causal is models. One based general structural,One general model is based on structural causal models.,1005
+important local information the and for in understanding region shape is contextual analysis. Exploring,Exploring contextual information in the local region is important for shape understanding and analysis.,1006
+regions. ways of employ contextual or Existing local hand-crafted often studies information explicit to encode,Existing studies often employ hand-crafted or explicit ways to encode contextual information of local regions.,1007
+task identification effects pollutant of The important environmental health. an is in,The identification of pollutant effects is an important task in environmental health.,1008
+effects formulas. show new the are Experiments done to of,Experiments are done to show the effects of new formulas.,1009
+fusion of the information). low-level vs between high-level,between the fusion of low-level vs high-level information).,1010
+"established such, equitably As circuit an design important element. uniqueness their conveyors as current have","As such, current conveyors have equitably established their uniqueness as an important circuit design element.",1011
+outlines low of and design. the CCCII on works power low voltage,CCCII works on the outlines of low power and low voltage design.,1012
+Tunable well signal in as voltage in amplifiers as analog processing applications. find use digital,Tunable voltage amplifiers find use in analog as well as in digital signal processing applications.,1013
+dictionary of is learned various basis a image The composed natural from database.,The dictionary is composed of various basis learned from a natural image database.,1014
+"reacting because are to highly and military enemy's keep demands time-varying stochastic actions. Moreover, commanders","Moreover, military demands are time-varying and highly stochastic because commanders keep reacting to enemy's actions.",1015
+has community. the recently the programming complex interest attracted of Metamodeling mathematical numerical systems of,Metamodeling of complex numerical systems has recently attracted the interest of the mathematical programming community.,1016
+simulators time Characterizing is stochastic the more consuming. even,Characterizing the stochastic simulators is even more time consuming.,1017
+for cloud We point algorithm a segmentation. novel present,We present a novel algorithm for point cloud segmentation.,1018
+"to This parameters, without capacity improves robust more increasing results. leading segmentation expressive the","This improves the expressive capacity without increasing parameters, leading to more robust segmentation results.",1019
+method. both on demonstrate real our synthetic superiority experiments Comprehensive the of and datasets,Comprehensive experiments on both synthetic and real datasets demonstrate the superiority of our method.,1020
+among a are leading Hip adults. older of fractures disability and cause death,Hip fractures are a leading cause of death and disability among older adults.,1021
+fractures diagnosis pelvic on commonly missed the Hip are radiographs. also most,Hip fractures are also the most commonly missed diagnosis on pelvic radiographs.,1022
+and anatomical is visualizing brain. the quantifying Brain of for used segmentation structures image,Brain image segmentation is used for visualizing and quantifying anatomical structures of the brain.,1023
+that proposed shows Experimental the outperforms traditional method U-Net (i.e. results,Experimental results shows that the proposed method outperforms traditional U-Net (i.e.,1024
+"nuclei the Densely for classification. Convolutional (DCRN) is used Recurrent Connected First, Network model","First, the Densely Connected Recurrent Convolutional Network (DCRN) model is used for nuclei classification.",1025
+"on two We conduct experiments benchmarks, extensive large-scale i.e.","We conduct extensive experiments on two large-scale benchmarks, i.e.",1026
+facial Rejecting can of significantly quality accuracy images increase any the recognition system. low,Rejecting low quality images can significantly increase the accuracy of any facial recognition system.,1027
+"of the room range Methods operating contains Today, a sensors. diverse","Methods Today, the operating room contains a diverse range of sensors.",1028
+"laparoscopic source such information. the stream During is an ideal of video endoscopic interventions,","During laparoscopic interventions, the endoscopic video stream is an ideal source of such information.",1029
+"quantitative is challenging high to Extracting video though, information from the due its dimensionality.","Extracting quantitative information from the video is challenging though, due to its high dimensionality.",1030
+streams surgery for duration of is offer uncertain. information whether Though such the estimating sufficient,Though whether such streams offer sufficient information for estimating the duration of surgery is uncertain.,1031
+transfer for (ReID). an person the extremely Cross-domain (CDTL) challenging re-identification task is learning,Cross-domain transfer learning (CDTL) is an extremely challenging task for the person re-identification (ReID).,1032
+"In work seek but interpretable, a this for learnable we plain, solution.","In this work we seek for a plain, interpretable, but learnable solution.",1033
+variational based adjusted an inference. include stochastic variational message nonconjugate These and on pseudolikelihood passing,These include nonconjugate variational message passing based on an adjusted pseudolikelihood and stochastic variational inference.,1034
+for alternatives to These approximation. attractive MCMC fast methods provide posterior,These methods provide attractive fast alternatives to MCMC for posterior approximation.,1035
+"optimal technique. the using map cut obtained graph Finally, depth is","Finally, the optimal depth map is obtained using graph cut technique.",1036
+advance the clinical believe brain method diagnosis. We proposed performance can the segmentation in and,We believe the proposed method can advance the performance in brain segmentation and clinical diagnosis.,1037
+proposed using processes model visual information The two pathways.,The proposed model processes visual information using two pathways.,1038
+subdivision costly one per avoid bit stack The iteration operations. to only requires memory,The iteration requires only one bit per subdivision to avoid costly stack memory operations.,1039
+"Besides extensive code provided. analysis, an source is mathematical","Besides an extensive mathematical analysis, source code is provided.",1040
+surfaces. present and We Catmull-Clark subdivision rays a intersecting method fast efficient with for,We present a fast and efficient method for intersecting rays with Catmull-Clark subdivision surfaces.,1041
+animation playback. useful patch is and quick algorithm for The editing during especially turnarounds,The algorithm is especially useful for quick turnarounds during patch editing and animation playback.,1042
+"difficult. CP in constructive logical notoriously with connectors information handling is However,","However, handling logical connectors with constructive information in CP is notoriously difficult.",1043
+ponens And presented modus modus then based and we tollens fuzzy fuzzy on MTP.,And then we presented fuzzy modus ponens and fuzzy modus tollens based on MTP.,1044
+"information propose Normalizations. leveraging Power learning this second-order a we and In paper, similarity network","In this paper, we propose a similarity learning network leveraging second-order information and Power Normalizations.",1045
+rehabilitation normal life. therapy A them to robot and a return can help assisted recover,A robot assisted rehabilitation therapy can help them recover and return to a normal life.,1046
+based a the An accurate identification. requires of categorical motor pattern recognition detection intention,An accurate detection of the motor intention requires a pattern recognition based categorical identification.,1047
+"different a the classification we Next, of to algorithm conducted sensitivity EMG channels. analysis","Next, we conducted a sensitivity analysis of the classification algorithm to different EMG channels.",1048
+"has and recent years, the approach performance. substantial In in witnessed mindset, advancements community","In recent years, the community has witnessed substantial advancements in mindset, approach and performance.",1049
+accelerating be has Compressive an to MRI technique acquisition. efficient proven for (CS) Sensing,Compressive Sensing (CS) has proven to be an efficient technique for accelerating MRI acquisition.,1050
+"However, are in handling these effective occlusions. long-term techniques less","However, these techniques are less effective in handling long-term occlusions.",1051
+from This raw is retrieve suspected signals. allowed motion to technique of interest,This technique is allowed to retrieve suspected motion of interest from raw signals.,1052
+We the evaluate to strategies values discuss experimentally. them and augment profit,We discuss strategies to augment the profit values and evaluate them experimentally.,1053
+"years, In recent patch prior recurrence has for powerful a image as emerged recovery.","In recent years, patch recurrence has emerged as a powerful prior for image recovery.",1054
+"models further resulting The preserve processing. enable smooth, boundaries, and are","The resulting models are smooth, preserve boundaries, and enable further processing.",1055
+represents in this at one This the learning of leveraging domain. first deep attempts,This represents one of the first attempts at leveraging deep learning in this domain.,1056
+a paper modalities. present utilizing for In two method representation we this self-supervised learning different,In this paper we present a self-supervised method for representation learning utilizing two different modalities.,1057
+across dates. that uncertainty The function incorporates potential varies modified estimation objective break,The modified objective function incorporates estimation uncertainty that varies across potential break dates.,1058
+framework. under is limit an asymptotic provided A distribution in-fill,A limit distribution is provided under an in-fill asymptotic framework.,1059
+estimator. that Carlo new results suggest the simulation outperforms least-squares Monte the estimator,Monte Carlo simulation results suggest that the new estimator outperforms the least-squares estimator.,1060
+"method. achieved MAS results, the state-of-the-art to performance methods superior the the experimental From DCNN","From the experimental results, the DCNN methods achieved superior performance to the state-of-the-art MAS method.",1061
+"behavior far training for not a well from Unfortunately, is network networks defined inputs set.","Unfortunately, network behavior is not well defined for inputs far from a networks training set.",1062
+II for StarCraft AI. We novel modular a architecture present,We present a novel modular architecture for StarCraft II AI.,1063
+macros execution. scheduler by modules all centralized of order reviews decides suggested their and A,A centralized scheduler reviews macros suggested by all modules and decides their order of execution.,1064
+series keeps into updater changes An of and track instantiates environment actions. macros of executable,An updater keeps track of environment changes and instantiates macros into series of executable actions.,1065
+the The Attribute DAN datasets. of on a-Pascal ImageNet performance evaluated and is,The performance of DAN is evaluated on the ImageNet Attribute and a-Pascal datasets.,1066
+"model comparison with state-of-the-art the methods, Experiments show results. achieves better in that proposed","Experiments show that in comparison with state-of-the-art methods, the proposed model achieves better results.",1067
+"and action robustness, skeleton-based Benefiting much its has succinctness from recognition attention. attracted recently","Benefiting from its succinctness and robustness, skeleton-based action recognition has recently attracted much attention.",1068
+on several outperforms methods datasets. approach state-of-the-art Our significantly large-scale other,Our approach significantly outperforms other state-of-the-art methods on several large-scale datasets.,1069
+"as a filter. this, of shape the mechanical acts audio ear For the","For this, the shape of the ear acts as a mechanical audio filter.",1070
+"of Neural Networks Convolutional Modern (CNNs) complex, encompassing parameters. are millions","Modern Convolutional Neural Networks (CNNs) are complex, encompassing millions of parameters.",1071
+"Their storage energy particularly on deployment exerts computational, platforms. demands, embedded and","Their deployment exerts computational, storage and energy demands, particularly on embedded platforms.",1072
+sparsify or accuracy. Existing maintain CNNs to approaches to require inference retraining prune,Existing approaches to prune or sparsify CNNs require retraining to maintain inference accuracy.,1073
+not some retraining Such in is contexts. feasible,Such retraining is not feasible in some contexts.,1074
+"sparsification of proposing explore model-independent the In paper, this we methods. by CNNs three","In this paper, we explore the sparsification of CNNs by proposing three model-independent methods.",1075
+Our on-the-fly require retraining. are no methods applied and,Our methods are applied on-the-fly and require no retraining.,1076
+based Often approaches workflow machine learning for basis analysis. surgical serve as,Often machine learning based approaches serve as basis for surgical workflow analysis.,1077
+to only then asked data be will points. annotate these Experts,Experts will then be asked to only annotate these data points.,1078
+"(DBN). CNN Recently, active of learning Deep been by to means applied has Networks Bayesian","Recently, active learning has been applied to CNN by means of Deep Bayesian Networks (DBN).",1079
+uncertainties to make assign it networks These to predictions. possible,These networks make it possible to assign uncertainties to predictions.,1080
+"Furthermore, analysis. workflow network a we to this recurrent extend by architecture, using surgical video-based","Furthermore, by using a recurrent architecture, we extend this network to video-based surgical workflow analysis.",1081
+"progress, has folding challenges but good protein very made remain. two Contact-assisted","Contact-assisted protein folding has made very good progress, but two challenges remain.",1082
+technologies. present-day of many an phase Interferometric is coherent part (InPhase) important imaging imaging,Interferometric phase (InPhase) imaging is an important part of many present-day coherent imaging technologies.,1083
+size storage the clouds. the of regarding point issue Another,Another issue regarding the storage size of the point clouds.,1084
+shows result RoarNet methods to Our that that publicly are state-of-the-art available. has performance superior,Our result shows that RoarNet has superior performance to state-of-the-art methods that are publicly available.,1085
+available RoarNet models. implemented Tensorflow and publicly pre-trained with in is,RoarNet is implemented in Tensorflow and publicly available with pre-trained models.,1086
+face Aging dramatically. recognition or variation affect the can gender performance,Aging or gender variation can affect the face recognition performance dramatically.,1087
+gold has calcium coronary detection. been slice-wise the as standard manual of delineation regarded The,The slice-wise manual delineation has been regarded as the gold standard of coronary calcium detection.,1088
+the Baseline assessed same performance was cohort. on,Baseline performance was assessed on the same cohort.,1089
+aroused Deep have Sensing great (DNNs) Networks (CS) Compressed in attention restoration. Neural,Deep Neural Networks (DNNs) have aroused great attention in Compressed Sensing (CS) restoration.,1090
+is information Human emotion forensics. the field and recognition biometric an of direction important in,Human emotion recognition is an important direction in the field of biometric and information forensics.,1091
+"research on most the based However, emotion human existing single are RGB view.","However, most existing human emotion research are based on the single RGB view.",1092
+"be our video-emotion first may this RGBD best the dataset. knowledge, To","To our best knowledge, this may be the first RGBD video-emotion dataset.",1093
+extended our methods And can views. easily than two to more be,And our methods can be easily extended to more than two views.,1094
+our state-of-art methods. some The over indicate effectiveness the results experiment methods of,The experiment results indicate the effectiveness of our methods over some state-of-art methods.,1095
+"etc.) (Photoshop, the Instagram, influence conventional that tools we Apart also from of photo-editing study","Apart from that we also study the influence of conventional photo-editing tools (Photoshop, Instagram, etc.)",1096
+daily a wide on audience by memorability. used,used daily by a wide audience on memorability.,1097
+"directly. this of designers, and results benefit the advertisers Photographers, will from study","Photographers, designers, and advertisers will benefit from the results of this study directly.",1098
+most one cancer Breast women the dangerous worldwide. and cancers is of impacting common,Breast cancer is one of the most common and dangerous cancers impacting women worldwide.,1099
+"is intelligence into develop safely research artificial Accordingly, increasingly important. to methods","Accordingly, research into methods to develop artificial intelligence safely is increasingly important.",1100
+"mechanisms. stovepiping the in blindspot the Additionally, a illuminate developmental for containment we potential of","Additionally, we illuminate the potential for a developmental blindspot in the stovepiping of containment mechanisms.",1101
+automated We Pressure for Positive (PAP) sizing fully a present masks. nasal Airway system,We present a fully automated system for sizing nasal Positive Airway Pressure (PAP) masks.,1102
+"we function an recipe, If objective model quality the the of as problems several arise.","If we model as an objective function the quality of the recipe, several problems arise.",1103
+"available. gradients all model No analytical no are so recipes, expression can the","No analytical expression can model all the recipes, so no gradients are available.",1104
+"words, other in it objective function noise. contains is subjective, The","The objective function is subjective, in other words, it contains noise.",1105
+"Moreover, both in expensive resources. human time and are evaluations","Moreover, evaluations are expensive both in time and human resources.",1106
+problems ideal as methodology an tackle (BO) with these characteristics. Bayesian emerges to Optimization,Bayesian Optimization (BO) emerges as an ideal methodology to tackle problems with these characteristics.,1107
+empirical the experiments adequacy We two methodology. support of with that the evidence provide,We provide empirical evidence with two experiments that support the adequacy of the methodology.,1108
+"method we Posterior-CRF. this new called training paper, a propose In end-to-end","In this paper, we propose a new end-to-end training method called Posterior-CRF.",1109
+"laborious, Manual use. impractical and is segmentation for large-scale","Manual segmentation is laborious, and impractical for large-scale use.",1110
+is The proposed (P-SiBA) lung from approach cases the assessed PLS-SiBA-Net lesion LesionVis. on,The proposed PLS-SiBA-Net (P-SiBA) approach is assessed on the lung lesion cases from LesionVis.,1111
+"The low-compute results for such presented model and a the discussed. implementing is algorithm low-cost,","The algorithm for implementing such a low-cost, low-compute model is presented and the results discussed.",1112
+"boring creative or song terribly verses), be companion, a both.","song verses), be a terribly boring creative companion, or both.",1113
+hallucination Most for are face complete the designed methods of inputs.,Most of the face hallucination methods are designed for complete inputs.,1114
+"by face Inspired obscured this network(OFHNet). we propose an fact, hallucination","Inspired by this fact, we propose an obscured face hallucination network(OFHNet).",1115
+The low-resolution(LR) obscured images. face inpainting the network restores,The inpainting network restores the low-resolution(LR) obscured face images.,1116
+the The following inpainting upsample upsampling is to network output of network.,The following upsampling network is to upsample the output of inpainting network.,1117
+present gap. also allocation for approaches sample initial exploiting this We,We also present initial sample allocation approaches for exploiting this gap.,1118
+frontend different be imperfections in the used them. of to can RF distinguish transmitters The,The imperfections in the RF frontend of different transmitters can be used to distinguish them.,1119
+This transmitter fingerprints. identification is called RF process using,This process is called transmitter identification using RF fingerprints.,1120
+"we their use this learning to characteristics. In using transmitters work, deep different nonlinear identify","In this work, we use deep learning to identify different transmitters using their nonlinear characteristics.",1121
+able study variability on the of We impact to accuracy. transmitter were also identification,We were also able to study the impact of transmitter variability on identification accuracy.,1122
+were compared confirmed experiments results trends. Simulation similar with which,Simulation results were compared with experiments which confirmed similar trends.,1123
+detectors are State-of-the-art trackers fast. object and developing,State-of-the-art object detectors and trackers are developing fast.,1124
+Trackers bear than the are more risk but efficient detectors in drifting. general of,Trackers are in general more efficient than detectors but bear the risk of drifting.,1125
+"since the This baseline, on should however, detection the depend frequency quality. suboptimal tracking is","This baseline, however, is suboptimal since the detection frequency should depend on the tracking quality.",1126
+"a an for empirical Finally, created optimization we automatic using method. mechanism hyperparameter","Finally, we created a mechanism for automatic hyperparameter optimization using an empirical method.",1127
+first is our its technique this knowledge To of kind.,To our knowledge this technique is first of its kind.,1128
+the the Activation area Further to Mapping we (CAM). attention used Class identify of,Further to identify the area of the attention we used Class Activation Mapping (CAM).,1129
+state-of-the-art were for then classifiers. features training used five machine learning The selected,The selected features were then used for training five state-of-the-art machine learning classifiers.,1130
+green fluoresent traced from regions using proteins. brain projections were Axonal,Axonal projections from brain regions were traced using green fluoresent proteins.,1131
+resulting The data common reference were registered space. to a three-dimensional,The resulting data were registered to a common three-dimensional reference space.,1132
+out the group. homology of first We generators work,We work out generators of the first homology group.,1133
+"the thalamus. striatum the through and Thousands go loops the isocortex, of","Thousands of loops go through the isocortex, the striatum and the thalamus.",1134
+procedure training optimization algorithm divergence and alternating contrastive is A novel integrating also an developed.,A novel training algorithm integrating contrastive divergence and an alternating optimization procedure is also developed.,1135
+of as the expressive MPORBM function The investigated. is the of also power MPO-rank a,The expressive power of the MPORBM as a function of the MPO-rank is also investigated.,1136
+model this work. digits for in proposed is interpretable handwritten synthesis An generative,An interpretable generative model for handwritten digits synthesis is proposed in this work.,1137
+training is to process mechanism underlying complex difficult and The the is explain.,The training process is complex and the underlying mechanism is difficult to explain.,1138
+"words, other a is whitening In it process.","In other words, it is a whitening process.",1139
+"lower, complexity is is the Its design whole explainable. and design process significantly","Its design complexity is significantly lower, and the whole design process is explainable.",1140
+data limitation. avoids effectively the images the scale and of diversity boosts It,It effectively boosts the diversity of images and avoids the data scale limitation.,1141
+"on To simulate distances, controllable angles processes projection parameterized adopt transformation. different we viewing and","To simulate different viewing angles and distances, we adopt controllable parameterized projection processes on transformation.",1142
+"neural call our system this We approach (re-)rendering, ""LookinGood"". and live","We call this approach neural (re-)rendering, and our live system ""LookinGood"".",1143
+"a manual require First, propose we not method that ground-truth does self-supervised annotation. training","First, we propose a self-supervised training method that does not require manual ground-truth annotation.",1144
+"generate temporally difference between results minimizing the two stable explicitly we frames. Finally, consecutive by","Finally, we generate temporally stable results by explicitly minimizing the difference between two consecutive frames.",1145
+"and Through unseen experimentation, subjects. how generalizes extensive sequences across system demonstrate our we","Through extensive experimentation, we demonstrate how our system generalizes across unseen sequences and subjects.",1146
+of Networks (GANs) field are in Adversarial generation. Generative image state-of-the-art the considered the,Generative Adversarial Networks (GANs) are considered the state-of-the-art in the field of image generation.,1147
+were and models. pre-trained different Five analyzed using architectures clean CNN,Five different CNN architectures were analyzed using clean and pre-trained models.,1148
+"been forms its have Depressive of sought. long and phases Biomarkers Major Disorder(MDD),","Biomarkers of Major Depressive Disorder(MDD), its phases and forms have long been sought.",1149
+running EEG SampEn Artefact-free and algorithms. analyzed developed HFD by programs epochs were in-house,Artefact-free EEG epochs were analyzed by in-house developed programs running HFD and SampEn algorithms.,1150
+higher complexity healthy patients to compared Depressed HFD and SampEn subjects. had,Depressed patients had higher HFD and SampEn complexity compared to healthy subjects.,1151
+of in differed depressive two between parietal phases frontal complexity The and disorder. the regions,The complexity in frontal and parietal regions differed between the two phases of depressive disorder.,1152
+higher than cortical areas. HFD in manifested sensitivity some SampEn,SampEn manifested higher sensitivity than HFD in some cortical areas.,1153
+of EEG the distinguish between Complexity three measures groups.,Complexity measures of EEG distinguish between the three groups.,1154
+article multi-processor a describes time-interval The modular in balancing scheduling composite jobs. special of,The article describes a special time-interval balancing in multi-processor scheduling of composite modular jobs.,1155
+just-in-time This to planning problem approach. close scheduling is,This scheduling problem is close to just-in-time planning approach.,1156
+"presented and scheduling scheduling on brief due-data/due-window surveys First, are problems. just-in-time literature","First, brief literature surveys are presented on just-in-time scheduling and due-data/due-window scheduling problems.",1157
+example described. real modular world for illustrative is planning The home-building,The illustrative real world planning example for modular home-building is described.,1158
+modified assembly balance to plan satisfy The to has requirements. the be,The assembly plan has to be modified to satisfy the balance requirements.,1159
+implements based metaheuristic on optimization approach. The a framework local,The framework implements a metaheuristic based on local optimization approach.,1160
+"information applications chain Two briefly systems) are management, transmission other described. (supply","Two other applications (supply chain management, information transmission systems) are briefly described.",1161
+"two-fold: i.e. i) contribution counterfactuals, is we positive propose Our","Our contribution is two-fold: i) we propose positive counterfactuals, i.e.",1162
+"domain and problems. an reimplemented architecture reinterpreted project, the present We Copycat solving letter analogy","We present the reinterpreted and reimplemented Copycat project, an architecture solving letter analogy domain problems.",1163
+"Finally, of for cognitive limitations are architectures and the lines benefits analyzed along Copycat.","Finally, benefits and limitations are analyzed for cognitive architectures along the lines of Copycat.",1164
+"we with (CNNs), neural scene convolutional Integrating labeling develop system. an end-to-end networks","Integrating with convolutional neural networks (CNNs), we develop an end-to-end scene labeling system.",1165
+on images. aims Rain rain the to rain removal remove streaks,Rain removal aims to remove the rain streaks on rain images.,1166
+mostly methods Neural based The state-of-the-art Convolutional Network~(CNN). on are,The state-of-the-art methods are mostly based on Convolutional Neural Network~(CNN).,1167
+of tremendous methods made have Sustainable progress. construction,Sustainable methods of construction have made tremendous progress.,1168
+"Then, background we neural of subtraction. deep the for networks discuss adequacy","Then, we discuss the adequacy of deep neural networks for background subtraction.",1169
+"new to approach suggests contrast, this this a problem. In paper","In contrast, this paper suggests a new approach to this problem.",1170
+"viewing Secondly, ""spherical"" sphere. we propose on the novel whole consistency constraint photometric a","Secondly, we propose a novel ""spherical"" photometric consistency constraint on the whole viewing sphere.",1171
+activities. facial eyes during distinct concentrate cognitive different Human regions,Human eyes concentrate different facial regions during distinct cognitive activities.,1172
+utilising to different different We into facial study classify expressions facial maps visual emotions. saliency,We study utilising facial visual saliency maps to classify different facial expressions into different emotions.,1173
+frequencies is (or The aside its of) leave to theory outside blamed framework.,The theory is blamed to leave frequencies outside (or aside of) its framework.,1174
+the significant security recognition is to Face anti-spoofing of face systems.,Face anti-spoofing is significant to the security of face recognition systems.,1175
+anti-spoofing. effectiveness learning face Previous proved works have on supervised depth the for,Previous works on depth supervised learning have proved the effectiveness for face anti-spoofing.,1176
+"as the considered they frame. the Nevertheless, an in supervision depth auxiliary only single","Nevertheless, they only considered the depth as an auxiliary supervision in the single frame.",1177
+by multiple extracted feature. the backbone layers) base as,multiple layers) extracted by backbone as the base feature.,1178
+"good can simple Without this additional large-scale on several method benchmarks. constraints, results achieve","Without additional constraints, this simple method can achieve good results on several large-scale benchmarks.",1179
+Existing sources hop. only employ attention among one partial approaches data in interactions,Existing approaches only employ partial interactions among data sources in one attention hop.,1180
+"context addition, the stage. during takes retrieval choices it into consideration answer In","In addition, it takes answer choices into consideration during the context retrieval stage.",1181
+achieves accuracy state-of-the-art dataset. framework MovieQA on Our HMMN,Our HMMN framework achieves state-of-the-art accuracy on MovieQA dataset.,1182
+of different Extensive ablation importance reasoning the attention holistic of contributions studies show strategies. and,Extensive ablation studies show the importance of holistic reasoning and contributions of different attention strategies.,1183
+We COCO our evaluate detection PASCAL MS method VOC dataset. on benchmark and,We evaluate our method on PASCAL VOC detection benchmark and MS COCO dataset.,1184
+Convolutional great tasks. have in vision success achieved various networks,Convolutional networks have achieved great success in various vision tasks.,1185
+structure. research network amount of considerable to due a This on is mainly,This is mainly due to a considerable amount of research on network structure.,1186
+"we on architectures, on the In study, focusing this instead focused unit convolution of itself.","In this study, instead of focusing on architectures, we focused on the convolution unit itself.",1187
+"by single After generates image image, the frontal a normalizing face it input image. a","After input a single face image, it generates a frontal image by normalizing the image.",1188
+method (DA) cross-domain domain a novel unsupervised for present recognition. adaptation visual We,We present a novel unsupervised domain adaptation (DA) method for cross-domain visual recognition.,1189
+and medicine a relationship. intelligence longstanding Artificial have proficuous and,Artificial intelligence and medicine have a longstanding and proficuous relationship.,1190
+many possibilities third-generation combine data There to and next-generation sequencing. from are,There are many possibilities to combine data from next-generation and third-generation sequencing.,1191
+"finding solutions for scheduling. problems goals, with tools well-defined highly-effective Mathematical offers notably optimization for","Mathematical optimization offers highly-effective tools for finding solutions for problems with well-defined goals, notably scheduling.",1192
+video saliency. show predicting results that ten in MM-Net outperforms models state-of-the-art Experimental aerial,Experimental results show that MM-Net outperforms ten state-of-the-art models in predicting aerial video saliency.,1193
+transforms. This represent the using to proposes in algorithms paper votes Hough sketch,This paper proposes using sketch algorithms to represent the votes in Hough transforms.,1194
+from a new to learn propose identity the We network named information set. GaitSet,We propose a new network named GaitSet to learn identity information from the set.,1195
+state-of-the-art represent These recognition results accuracy. new,These results represent new state-of-the-art recognition accuracy.,1196
+"robustness. of complex significant scenarios, a level model various exhibits our On","On various complex scenarios, our model exhibits a significant level of robustness.",1197
+large best outperform by a These the existing margin. methods,These outperform the existing best methods by a large margin.,1198
+"Moreover, data to require of models large a accurate train. amount","Moreover, accurate models require a large amount of data to train.",1199
+"achieve Analysis. we To use Level Error this,","To achieve this, we use Error Level Analysis.",1200
+is Convolutional at Network Neural image good classification.,Convolutional Neural Network is good at image classification.,1201
+"image found quality vulnerable be to is However, it degradation. to","However, it is found to be vulnerable to image quality degradation.",1202
+"is only retraining. in situation DCT-Net further applied generic trained once without and ""blindly"" The","The DCT-Net is trained ""blindly"" only once and applied in generic situation without further retraining.",1203
+the in learnable Instead filters. with consider wavelet filtering we domain,Instead we consider filtering in the wavelet domain with learnable filters.,1204
+established work has image-to-depth learning baselines domain. Previous in unsupervised strong the in,Previous work in unsupervised image-to-depth learning has established strong baselines in the domain.,1205
+"all handle motion approaches, those approach including The proposed that outperforms state-of-the-art e.g.","The proposed approach outperforms all state-of-the-art approaches, including those that handle motion e.g.",1206
+a Intel$\circledR$ available OpenVINO$^{TM}$ part of is publicly It as Toolkit.,It is publicly available as a part of Intel$\circledR$ OpenVINO$^{TM}$ Toolkit.,1207
+well the intracellular that kinetics network an stochastic. known It biochemical is of is,It is well known that the kinetics of an intracellular biochemical network is stochastic.,1208
+by the evolutionary illustrate model. approach ad We minimalistic the hoc,We illustrate the approach by the minimalistic ad hoc evolutionary model.,1209
+in student-teacher train We that an models of a two together ensemble fashion. work,We train an ensemble of two models that work together in a student-teacher fashion.,1210
+data. from YouTube) generated and downloaded artificially,downloaded from YouTube) and artificially generated data.,1211
+datasets. evaluate the SC-GAN framework on proposed baseline of a set We,We evaluate the proposed SC-GAN framework on a set of baseline datasets.,1212
+explanatory new using prior for Abductive reasoning observations generates knowledge. hypotheses,Abductive reasoning generates explanatory hypotheses for new observations using prior knowledge.,1213
+"symbols. are contain can concept, signature specified Non-abducibles but by role, forgetting a which not","Non-abducibles are specified by a forgetting signature which can contain concept, but not role, symbols.",1214
+The disjuncts. of set and are semantically hypotheses consist each of resulting minimal a,The resulting hypotheses are semantically minimal and each consist of a set of disjuncts.,1215
+for elimination to Two practical and approaches approximate. redundancy full use: explored are,Two approaches to redundancy elimination are explored for practical use: full and approximate.,1216
+other of for UAVs significance embedded vehicle and mobile is platforms. detection great On-board real-time,On-board real-time vehicle detection is of great significance for UAVs and other embedded mobile platforms.,1217
+"obtained. progressive toric-B\'{e}zier iterative this the property the is approximation By result, curve generalized of","By this result, the progressive iterative approximation property of the generalized toric-B\'{e}zier curve is obtained.",1218
+is of reduction the Dimensionality within ECG of signals considered representation. sparse framework,Dimensionality reduction of ECG signals is considered within the framework of sparse representation.,1219
+approaches principled provide exploration-exploitation Reinforcement Bayesian trade-off Learning. the a in solution to,Bayesian approaches provide a principled solution to the exploration-exploitation trade-off in Reinforcement Learning.,1220
+"approaches, either assume a or observable environment poorly. however, Typical fully scale","Typical approaches, however, either assume a fully observable environment or scale poorly.",1221
+"we the In designing process. paper, to warehouse automate this aim layout","In this paper, we aim to automate the warehouse layout designing process.",1222
+neuron a stream A impulses. Poisson with of is stimulated excitatory,A neuron is stimulated with a Poisson stream of excitatory impulses.,1223
+is to stream. from the input impulse This identical those delivered,This impulse is identical to those delivered from the input stream.,1224
+course of type $p(t)$ peculiarity. has a $\delta$-function The,The course of $p(t)$ has a $\delta$-function type peculiarity.,1225
+encode can of neural deep layers Different networks(CNNs) different-level convolutional information.,Different layers of deep convolutional neural networks(CNNs) can encode different-level information.,1226
+"High-layer features more features semantic low-layer detail contain and contain information, always information. more","High-layer features always contain more semantic information, and low-layer features contain more detail information.",1227
+"from However, features background low-layer the ambiguity. semantic suffer clutter and","However, low-layer features suffer from the background clutter and semantic ambiguity.",1228
+mechanism effectively The drawbacks. proposed above-mentioned the connection can overcome,The proposed connection mechanism can effectively overcome the above-mentioned drawbacks.,1229
+clipping. pixel values recover network We to a to present deep lost,We present a deep network to recover pixel values lost to clipping.,1230
+pixel's channels. all) of Clipping in color (or the occur any may,Clipping may occur in any (or all) of the pixel's color channels.,1231
+and the of Global stability equilibria discussed. immigration-free is infection-free,Global stability of the immigration-free and infection-free equilibria is discussed.,1232
+short-term numerical explored. and generalized framework is immigration scenarios are specific established A,A generalized numerical framework is established and specific short-term immigration scenarios are explored.,1233
+"work, In this problem. the investigate but under-studied efficiency critical pose practically model we","In this work, we investigate the under-studied but practically critical pose model efficiency problem.",1234
+"this (FPD) model we Pose To present strategy. Fast a new learning Distillation end,","To this end, we present a new Fast Pose Distillation (FPD) model learning strategy.",1235
+a is effectively It the teacher by structure achieved strong network. transferring pose knowledge of,It is achieved by effectively transferring the pose structure knowledge of a strong teacher network.,1236
+of network neural siamese problem. as be optimization can simple a The treated binary classification,The optimization of siamese neural network can be treated as a simple binary classification problem.,1237
+"here collaboration, three are privacy. opportunities and unification The challenges summarized and concepts: in","The opportunities and challenges are here summarized in three concepts: collaboration, unification and privacy.",1238
+"devices, can therefore collaboration We methods be between need allows ambiguities that which resolved. such","We therefore need methods which allows collaboration between devices, such that ambiguities can be resolved.",1239
+baselines a outperform competitive report datasets. and We metrics that range of in results wide,We report results that outperform competitive baselines in a wide range of metrics and datasets.,1240
+main collision Reliable requirements of for autonomous driving. is the one avoidance,Reliable collision avoidance is one of the main requirements for autonomous driving.,1241
+"major a Here, every tracker. data for is association challenge multi-target","Here, data association is a major challenge for every multi-target tracker.",1242
+other terms GDPF and stability. that in accuracy Real-world tests outperforms multi-target show tracker of,Real-world tests show that GDPF outperforms other multi-target tracker in terms of accuracy and stability.,1243
+recognises privacy. using that a paper This activities human retains sensor,This paper recognises human activities using a sensor that retains privacy.,1244
+"introduce evaluate a and the new dataset, We it. also method on","We also introduce a new dataset, and evaluate the method on it.",1245
+saliency using We eye images datasets. predictions tracking NSWAM tested from several,We tested NSWAM saliency predictions using images from several eye tracking datasets.,1246
+"saliency. specifically reproduce we are models outperform that designed Moreover, to other exclusively biologically-inspired saliency","Moreover, we outperform other biologically-inspired saliency models that are specifically designed to exclusively reproduce saliency.",1247
+"for array propose adjustment In phase-only paper, constraint. with this response fast method we a","In this paper, we propose a fast method for array response adjustment with phase-only constraint.",1248
+presented the are examples algorithm. of demonstrate effectiveness Representative proposed the to,Representative examples are presented to demonstrate the effectiveness of the proposed algorithm.,1249
+torus nowadays very points on are common. a,points on a torus are nowadays very common.,1250
+torus. scattered points appropriate models on are wrapped data to p-dimensional often describe Multivariate,Multivariate wrapped models are often appropriate to describe data points scattered on p-dimensional torus.,1251
+These often and are solutions tasks. architecture-specific transfer not other to do,These solutions are often architecture-specific and do not transfer to other tasks.,1252
+images. a This synthetic experimentation saliency model psychophysical proposes for evaluation new basis using,This experimentation proposes a new psychophysical basis for saliency model evaluation using synthetic images.,1253
+control where real signals that capture data the reconstructed The evaluated wrist's glove by kinematics.,The reconstructed control signals where evaluated by real glove data that capture the wrist's kinematics.,1254
+methods. matrix model slightly proposed results The than \ac{ctd} better was factorisation,The proposed \ac{ctd} model results was slightly better than matrix factorisation methods.,1255
+"capability ready for applications. ""scan-and-simulate"" industrial approach makes practical, our unique scalable large-scale This and","This unique ""scan-and-simulate"" capability makes our approach scalable and practical, ready for large-scale industrial applications.",1256
+inherited degenerations The of due retinal death. are photoreceptor cell to majority,The majority of inherited retinal degenerations are due to photoreceptor cell death.,1257
+measured patterns. However fine-grained optogenetically-reactivated been of spatial retinas with not the has stimulation resolution,However the spatial resolution of optogenetically-reactivated retinas has not been measured with fine-grained stimulation patterns.,1258
+above blindness. of is acuity the obtained limit The legal,The obtained acuity is above the limit of legal blindness.,1259
+result future for is promising high studies. resolution clinical spatial This a,This high spatial resolution is a promising result for future clinical studies.,1260
+"{\alpha}-stable will its the distributed under robustness, To symmetric be noise examined illustrate algorithm environment.","To illustrate its robustness, the algorithm will be examined under symmetric {\alpha}-stable distributed noise environment.",1261
+"with algorithms. MUSIC-like, proposed adaptive and the compared MUSIC, is framework original The SSCM-MUSIC FLOM-MUSIC,","The proposed adaptive framework is compared with the original MUSIC-like, MUSIC, FLOM-MUSIC, and SSCM-MUSIC algorithms.",1262
+Experimental improvement rotated significant a results text. show on detecting,Experimental results show a significant improvement on detecting rotated text.,1263
+the encodes salient The global branch global representations.,The global branch encodes the global salient representations.,1264
+scoring with superior standard methods. when Our Gleason performance compared approach achieves,Our approach achieves superior performance when compared with standard Gleason scoring methods.,1265
+object an recognition life. Visual plays essential role human in daily,Visual object recognition plays an essential role in human daily life.,1266
+state-of-the-art networks. for comparison deep the allows a then with neural This fair,This then allows for a fair comparison with the state-of-the-art deep neural networks.,1267
+with is validated MIT-BIH proposed framework the The database. Arrhythmia,The proposed framework is validated with the MIT-BIH Arrhythmia database.,1268
+stochastic without with recourse a stage We loss a single strictly function. program convex consider,We consider a single stage stochastic program without recourse with a strictly convex loss function.,1269
+grid points. with and We space assume compact a of set a it decision finite,We assume a compact decision space and grid it with a finite set of points.,1270
+"from datasets i.e. the two for common also We JS-MA WTCCC applied GWAS to diseases,","We also applied JS-MA to the GWAS datasets from WTCCC for two common diseases, i.e.",1271
+"information demonstrated effective to computer been Moreover, be many has for vision tasks. depth","Moreover, depth information has been demonstrated to be effective for many computer vision tasks.",1272
+"can flexibility, segmentation challenges methods. algorithms, particularly lead to for This however, supervised substantial","This flexibility, however, can lead to substantial challenges for segmentation algorithms, particularly supervised methods.",1273
+modeled evolution by age-structured discrete time time model. population a this is stochastic The of,The time evolution of this population is modeled by a discrete time stochastic age-structured model.,1274
+affects recruitment. We that incertitude only assume the,We assume that incertitude only affects the recruitment.,1275
+to popularity The possible gesture applications. wide more based skeleton gaining recognition is due its,The skeleton based gesture recognition is gaining more popularity due to its wide possible applications.,1276
+architecture. module a neural standard network can be learning-based included is that into This,This is a learning-based module that can be included into standard neural network architecture.,1277
+The features the that abstract the actions and given. assumes formulation are,The formulation assumes that the features and the abstract actions are given.,1278
+"to limitation this showing automatically. we by In address this them learn work, how","In this work, we address this limitation by showing how to learn them automatically.",1279
+experimental on guarantees results domains are reported. are and several Correctness given,Correctness guarantees are given and experimental results on several domains are reported.,1280
+its expression regulation nonequilibrium a and process. stochastic is Gene,Gene expression and its regulation is a nonequilibrium stochastic process.,1281
+with several involved process steps molecules are copies. in in this biochemical low Different,Different molecules are involved in several biochemical steps in this process with low copies.,1282
+the studies nonequilibrium also that Several cost. processes biochemical require energy show,Several studies also show that the nonequilibrium biochemical processes require energy cost.,1283
+pairs. part-relational aims appearance PRN to local determine The facial feature from structure,The PRN aims to determine facial part-relational structure from local appearance feature pairs.,1284
+"with appearance relational the global further improve pairwise To combined the accuracy, feature. we features","To further improve accuracy, we combined the global appearance features with the pairwise relational feature.",1285
+"graph a each tracklet which treats define model First, a vertex. as we","First, we define a graph model which treats each tracklet as a vertex.",1286
+"are into Afterwards, IDs. groups object tracklets the clustered which individual represent","Afterwards, the tracklets are clustered into groups which represent individual object IDs.",1287
+The on excellent and resulting performance network achieves miniImageNet tieredImageNet. both,The resulting network achieves excellent performance on both miniImageNet and tieredImageNet.,1288
+on introduced. are these prior implications research The inconsistencies potential of,The potential implications of these inconsistencies on prior research are introduced.,1289
+"a new propose automatic Next, for scheme protocol. we evaluation subsetting","Next, we propose a new automatic subsetting scheme for evaluation protocol.",1290
+results presented. MORPH-II are experimental on Preliminary,Preliminary experimental results on MORPH-II are presented.,1291
+detection approach demonstrate and also of joint given removal. potential the shadow the for We,We also demonstrate the potential of the given approach for joint shadow detection and removal.,1292
+"different different from different architecture. are networks results with However, very models and the system","However, the results from different networks and models are very different with different system architecture.",1293
+"model with we After high product model. getting a build accuracy, a","After getting a model with high accuracy, we build a product model.",1294
+extract into model human face The image will a a it vector. take and,The model will take a human face image and extract it into a vector.,1295
+detection regression methods as anchor references. have Most boxes adopted current,Most current detection methods have adopted anchor boxes as regression references.,1296
+"the sensitive setting detection However, of the performance boxes. to is anchor the","However, the detection performance is sensitive to the setting of the anchor boxes.",1297
+detection block building Object vision. in been a computer has,Object detection has been a building block in computer vision.,1298
+"images such especially aerial for from are natural of issues images, great Apart importance. pronounced","Apart from natural images, such issues are especially pronounced for aerial images of great importance.",1299
+"standard left (e.g. an the established While representation ventricles, especially have cardiac ventricle,","While cardiac ventricles, especially the left ventricle, have an established standard representation (e.g.",1300
+"application assumption the such semantic for methods. seem This crucial but of may trivial, is","This assumption may seem trivial, but is crucial for the application of such semantic methods.",1301
+"problem. to the visual-semantic Thus, is target certain examine relationship it for important a","Thus, it is important to examine the visual-semantic relationship for a certain target problem.",1302
+We highly hypotheses postulate the three verify on relationship. and consequential,We postulate and verify three highly consequential hypotheses on the relationship.,1303
+pivotal plays resource networks. optimization wireless role allocation for a Effective performance in,Effective resource allocation plays a pivotal role for performance optimization in wireless networks.,1304
+"mixed-integer NP-hard. programming typical are allocation problems, Unfortunately, (MINLP) resource problems are which nonlinear","Unfortunately, typical resource allocation problems are mixed-integer nonlinear programming (MINLP) problems, which are NP-hard.",1305
+"on problems. to MINLP general optimize"" framework based for ""learning is solving It a","It is based on a general ""learning to optimize"" framework for solving MINLP problems.",1306
+(EMT) from transition perspectives: and experimental/technological two present theoretical. epithelial-to-mesenchymal the We,We present the epithelial-to-mesenchymal transition (EMT) from two perspectives: experimental/technological and theoretical.,1307
+kind modifications are hardware No of required. any,No hardware modifications of any kind are required.,1308
+variability is used normal The the as score. presentation the of detection attack vectors,The variability of the normal vectors is used as the presentation attack detection score.,1309
+Experiments a database of carried out approx. on were,Experiments were carried out on a database of approx.,1310
+of are other available to codes source The researchers. the method made,The source codes of the method are made available to other researchers.,1311
+"estimation this motion we kernel method deconvolution. for propose blind an edge-based blur paper, In","In this paper, we propose an edge-based blur kernel estimation method for blind motion deconvolution.",1312
+Quantifying foundation a population wildlife of sizes estimating is management. wildlife and,Quantifying and estimating wildlife population sizes is a foundation of wildlife management.,1313
+"many difficulties innate However, carnivore leading their are populations. estimating cryptic, species to in","However, many carnivore species are cryptic, leading to innate difficulties in estimating their populations.",1314
+UE on output the outside position decision a or the (inside The region). is,The output is a decision on the UE position (inside or outside the region).,1315
+clouds. planning the point of The parameterization on depends,The planning depends on the parameterization of point clouds.,1316
+effectiveness illustrate proposed results of are Experimental given to the methods.,Experimental results are given to illustrate effectiveness of the proposed methods.,1317
+"means distribution long-tail species, classes annotated a that insufficiently. observed animal are and some","animal species, a long-tail distribution means that some classes are observed and annotated insufficiently.",1318
+"be Additional can prohibitively expensive, e.g. labels","Additional labels can be prohibitively expensive, e.g.",1319
+experts domain involved. be to because need,because domain experts need to be involved.,1320
+properties hierarchy We probabilistic such encode class a of model. a into the,We encode the properties of such a class hierarchy into a probabilistic model.,1321
+"and there, we encoding loss derive a function. label novel corresponding a From","From there, we derive a novel label encoding and a corresponding loss function.",1322
+effective. method suggested results and that is efficient show Both our,Both results show that our suggested method is efficient and effective.,1323
+particularly interact. important is competitors not also aspect or One whether,One particularly important aspect is whether or not competitors also interact.,1324
+"be to humans $\boldsymbol{\mu}$-D can their identify on Thus, walking styles. used based signatures","Thus, $\boldsymbol{\mu}$-D signatures can be used to identify humans based on their walking styles.",1325
+"cross (RCS) of information contain radar moving section the Additionally, subject. signatures the the about","Additionally, the signatures contain information about the radar cross section (RCS) of the moving subject.",1326
+using embedding stochastic It then in neighbor t-distributed interpreted (t-SNE). dimensions is two,It is then interpreted in two dimensions using t-distributed stochastic neighbor embedding (t-SNE).,1327
+often imaging contain confounded unwanted or are partially data Biological variability.,Biological imaging data are often partially confounded or contain unwanted variability.,1328
+challenging surgery face two of most variations Plastic the co-variates are disguise recognition. of and,Plastic surgery and disguise variations are two of the most challenging co-variates of face recognition.,1329
+is across an people Tracking cameras multiple problem. multiple open,Tracking multiple people across multiple cameras is an open problem.,1330
+"to while SCT, cater methods still ICT remains Many a challenge.","Many methods cater to SCT, while ICT still remains a challenge.",1331
+is to It jointly. challenging model a problem them,It is a challenging problem to model them jointly.,1332
+and/or capturing for spatial appearance short-term utilized local motion The is features. branch local,The local branch is utilized for capturing local spatial appearance and/or short-term motion features.,1333
+"this filter to dynamic paper, PointConv. operation, the extend new a In convolution we named","In this paper, we extend the dynamic filter to a new convolution operation, named PointConv.",1334
+build PointConv be point networks. to convolutional deep on clouds can applied,PointConv can be applied on point clouds to build deep convolutional networks.,1335
+the function depends in optimized choice measure. of The the the on distance objective algorithm,The objective function optimized in the algorithm depends on the choice of the distance measure.,1336
+data. contexts used several analysis of widely of distributional is in It,It is widely used in several contexts of analysis of distributional data.,1337
+are critical Objects their relationships understanding. image for and contents,Objects and their relationships are critical contents for image understanding.,1338
+graph image. scene a provides captures these A properties that an structured of description,A scene graph provides a structured description that captures these properties of an image.,1339
+main of relationship significantly the Our part the graph method scene generation task: benefits classification.,Our method significantly benefits the main part of the scene graph generation task: relationship classification.,1340
+"and age encoding techniques input are such distribution compared. label data as augmentation, Training standardization,","Training techniques such as input standardization, data augmentation, and label distribution age encoding are compared.",1341
+"in-depth discussion We provide task, for this pointing future challenging analysis and research. to also","We also provide in-depth analysis and discussion for this challenging task, pointing to future research.",1342
+as performance. works possible build try small to networks still as acceptable Many while have,Many works try to build networks as small as possible while still have acceptable performance.,1343
+"paper This Pyramid improved MobileNet, of called version describes Mobile an Network.","This paper describes an improved version of MobileNet, called Pyramid Mobile Network.",1344
+(TCM) had modes recently useful benefits. of Theory characteristic that was proposed,Theory of characteristic modes (TCM) was recently proposed that had useful benefits.,1345
+also was to used isolation. enhance the TCM,TCM was also used to enhance the isolation.,1346
+"different to enhance on TCM, of focus the isolation. will also This papers the approaches","This papers will also focus on the different approaches of TCM, to enhance the isolation.",1347
+"Cloning paper, Deep In this approach an called (DSC). we Sensor propose","In this paper, we propose an approach called Deep Sensor Cloning (DSC).",1348
+identify re-identification non-overlapping views. same across to camera   aims pedestrian Person the,  Person re-identification aims to identify the same pedestrian across non-overlapping camera views.,1349
+"conceptual so, be can represented doing space By Hilbert space. using","By doing so, conceptual space can be represented using Hilbert space.",1350
+high space conceptual its quantum is of This terms concept representation. dimensional in inspired,This high dimensional conceptual space is quantum inspired in terms of its concept representation.,1351
+recognizes of learnt daily by activities The KID knowledge the the elderly. the model,The knowledge learnt by the KID model recognizes the daily activities of the elderly.,1352
+"data based GAN discriminator learn is the real trained to distribution. a In a model,","In a GAN based model, a discriminator is trained to learn the real data distribution.",1353
+training approach propose does not The conventional alter the stage. we,The approach we propose does not alter the conventional training stage.,1354
+both to can conditional Our and method contribute unconditional GANs.,Our method can contribute to both conditional and unconditional GANs.,1355
+"present \emph{Deep Image We retargeting. Retargeting} a image for framework content-aware (\emph{DeepIR}), coarse-to-fine","We present \emph{Deep Image Retargeting} (\emph{DeepIR}), a coarse-to-fine framework for content-aware image retargeting.",1356
+explore technique discrimination with tasks We respect that to representations. simultaneous each requires visualization,We explore discrimination tasks with respect to each visualization technique that requires simultaneous representations.,1357
+examples. Recent demonstrated have of networks convolutional the deep adversarial vulnerability against studies neural,Recent studies have demonstrated the vulnerability of deep convolutional neural networks against adversarial examples.,1358
+for premature death. is a cause Heart major failure,Heart failure is a major cause for premature death.,1359
+detection. recurrent for segregated action temporal paper assembly multiple weakly-supervised This a proposes network (STAR),This paper proposes a segregated temporal assembly recurrent (STAR) network for weakly-supervised multiple action detection.,1360
+"the action we into of distribution. output corresponding recurrent network Finally, neural transform the","Finally, we transform the output of recurrent neural network into the corresponding action distribution.",1361
+"requires practitioners. its However, of the expert time-consuming use participation manual","However, its manual use requires the time-consuming participation of expert practitioners.",1362
+labels reading standard obtained grades. using Gold were center,Gold standard labels were obtained using reading center grades.,1363
+algorithm developed thereafter A efficient fast inversion for online matrix diagonal is blockwise tracking.,A fast blockwise diagonal matrix inversion algorithm is developed thereafter for efficient online tracking.,1364
+when our of proposed with state-of-the-art compared Experimental the trackers. approach demonstrate results superiority other,Experimental results demonstrate the superiority of our proposed approach when compared with other state-of-the-art trackers.,1365
+distortion the of loss power Thistransformation to resolving continuity. leads due and to nonuniformspatial shape,Thistransformation leads to shape distortion due to nonuniformspatial resolving power and the loss of continuity.,1366
+rep-resent Theproposed omni-directional method spherical a utilizes to polyhedron views.,Theproposed method utilizes a spherical polyhedron to rep-resent omni-directional views.,1367
+canalso by methods. adopted any CNN-based method The existing proposed be,The proposed method canalso be adopted by any existing CNN-based methods.,1368
+"of different have In type speciation theoretical proposed. hypothesis fact, on many been","In fact, many theoretical hypothesis on different type of speciation have been proposed.",1369
+Our dynamics. population be can to also framework other type of or sexual generalised reproduction,Our framework can be generalised also to sexual reproduction or other type of population dynamics.,1370
+"events to it demanding tasks. other from is intensity images Therefore, generate for","Therefore, it is demanding to generate intensity images from events for other tasks.",1371
+"we the full-waveform issues, solve to To those techniques resolve employ machine-learning inversion.","To resolve those issues, we employ machine-learning techniques to solve the full-waveform inversion.",1372
+show TRN that The state-of-the-art. significantly the results outperforms,The results show that TRN significantly outperforms the state-of-the-art.,1373
+in in is many and Detecting shadows acoustic clinical engineering images applications. important ultrasound,Detecting acoustic shadows in ultrasound images is important in many clinical and engineering applications.,1374
+able shadow-focused map. dense method is a to Our confidence generate,Our method is able to generate a dense shadow-focused confidence map.,1375
+shadow network from during maps to images confidence input able directly is inference. This predict,This network is able to predict shadow confidence maps directly from input images during inference.,1376
+"etc. DICE, evaluation such inter-class use and correlation as metrics We","We use evaluation metrics such as DICE, inter-class correlation and etc.",1377
+the our method. to verify effectiveness of,to verify the effectiveness of our method.,1378
+or of images background a methods performance depends on prior observation. long-term largely Good existing,Good performance of existing methods depends largely on prior background images or a long-term observation.,1379
+proposed outperforms that Extensive our existing methods. method experiments significantly demonstrate,Extensive experiments demonstrate that our proposed method significantly outperforms existing methods.,1380
+"and is based discrimination, is dual to Generality be meant to it difficulty. on","Generality is meant to be dual to discrimination, and it is based on difficulty.",1381
+deep are arrays communications optical space. free-space used in for commonly Detector,Detector arrays are commonly used for free-space optical communications in deep space.,1382
+"at receiver. complexity the detector a However, results computational with arrays in communication larger","However, communication with detector arrays results in a larger computational complexity at the receiver.",1383
+is nontrivial an (DNNs) and of Explaining predictions networks important task. neural deep,Explaining predictions of deep neural networks (DNNs) is an important and nontrivial task.,1384
+method theory feature and relies values. approximates importance recent Our on Shapley,Our method relies on recent theory and approximates Shapley feature importance values.,1385
+"the implemented also We of key-point-based LGLG-WPCA, called LGLG(KP)-WPCA. version","We also implemented the key-point-based version of LGLG-WPCA, called LGLG(KP)-WPCA.",1386
+of This multimodal of e.g. paper orthoimagery semantic segmentation data using addresses the task,This paper addresses the task of semantic segmentation of orthoimagery using multimodal data e.g.,1387
+"infrared optical RGB, model. digital surface and","optical RGB, infrared and digital surface model.",1388
+training procedure training for OrthoSeg. of propose a We supervised also,We also propose a training procedure for supervised training of OrthoSeg.,1389
+framework We Single a for Detector Shot state-of-the-art propose (SSD). compressing MultiBox,We propose a framework for compressing state-of-the-art Single Shot MultiBox Detector (SSD).,1390
+"Sparsity addresses following Filter framework stages: Filter the in Pruning. Induction, and compression The Selection,","The framework addresses compression in the following stages: Sparsity Induction, Filter Selection, and Filter Pruning.",1391
+This than compact the most model in smaller results size architectures. existing the with,This results in the model with the size smaller than most existing compact architectures.,1392
+our compare multiple the of datasets evaluate performance framework and with multiple We over methods.,We evaluate the performance of our framework with multiple datasets and compare over multiple methods.,1393
+"In particular, tracking we problem video treat dynamic (i.e. a as the","In particular, we treat the video tracking problem as a dynamic (i.e.",1394
+"However, and conflict other. with each iso-scallop often smoothness","However, iso-scallop and smoothness often conflict with each other.",1395
+framework proposes tool for a optimization. path paper new This,This paper proposes a new framework for tool path optimization.,1396
+effectiveness show proposed Experimental the given to the are results of methods.,Experimental results are given to show the effectiveness of the proposed methods.,1397
+Layers refine to further stream (RAL) the Residual Attention temporal The involves temporal features.,The temporal stream further involves Residual Attention Layers (RAL) to refine the temporal features.,1398
+networks. results these standard to two-population randomly-connected We first and apply,We first apply these results to standard randomly-connected and two-population networks.,1399
+"demonstrate proportionally size. networks of the that we obtained their capacity the Finally, with increases","Finally, we demonstrate that the capacity of the obtained networks increases proportionally with their size.",1400
+problem font pairing. introduces paper of the automatic This,This paper introduces the problem of automatic font pairing.,1401
+an Font novices. important design that is pairing difficult is task for,Font pairing is an important design task that is difficult for novices.,1402
+font are in three There pairing. main challenges,There are three main challenges in font pairing.,1403
+"human pairing rules are and difficult conventions of experts Second, font given to formalize. by","Second, rules and conventions of font pairing given by human experts are difficult to formalize.",1404
+learning asymmetric similarity propose We and dual-space (ASML). two metric algorithms: pairing font k-NN,We propose two font pairing algorithms: dual-space k-NN and asymmetric similarity metric learning (ASML).,1405
+These methods large-scale learn relationships fine-grained from two automatically data.,These two methods automatically learn fine-grained relationships from large-scale data.,1406
+several baseline methods also designers. from based We professional rules investigate on the,We also investigate several baseline methods based on the rules from professional designers.,1407
+dataset the of and methods. effectiveness proposed Experiments studies demonstrate user and our,Experiments and user studies demonstrate the effectiveness of our proposed dataset and methods.,1408
+of our were Experiments with also missing network. showed multiple performed the and robustness sequences,Experiments with multiple missing sequences were also performed and showed the robustness of our network.,1409
+"both in of obvious shortcomings them have alone However, practice.","However, both of them alone have obvious shortcomings in practice.",1410
+the benchmarked have Pixel-Anchor the We proposed on datasets. public,We have benchmarked the proposed Pixel-Anchor on the public datasets.,1411
+major recognition driving. localization on of place A for current is focus research autonomous visual,A major focus of current research on place recognition is visual localization for autonomous driving.,1412
+"Although fully idea works. has this recent explored intuitive, not been in","Although intuitive, this idea has not been fully explored in recent works.",1413
+the model. supervision depth in into weak) training,weak) supervision in depth training into the model.,1414
+buildings. that effectively different Experimental from our to new results showed generalizes scenes model,Experimental results showed that our model effectively generalizes to new scenes from different buildings.,1415
+appear in when Problems stage. did training objects these harder become even not,Problems become even harder when these objects did not appear in training stage.,1416
+maintaining description generated fluency. ensures while that the in CGO the is object,CGO ensures that the object is in the generated description while maintaining fluency.,1417
+"we novel LSTMs opposite two framework achieve this, To combining a in design directions.","To achieve this, we design a novel framework combining two LSTMs in opposite directions.",1418
+to CGO task objects. shows advantages of the applied when novel describing,CGO shows advantages when applied to the task of describing novel objects.,1419
+show ImageNet MSCOCO experimental We results on and datasets. both,We show experimental results on both MSCOCO and ImageNet datasets.,1420
+knowledge offline is level into the through estimation High target extensive learning. incorporated,High level knowledge is incorporated into the target estimation through extensive offline learning.,1421
+"our accuracy. box bounding By information, achieves carefully previously unseen approach integrating target-specific","By carefully integrating target-specific information, our approach achieves previously unseen bounding box accuracy.",1422
+state-of-the-art Our sets final new framework a five on benchmarks. challenging tracking,Our final tracking framework sets a new state-of-the-art on five challenging benchmarks.,1423
+"on a multi-task Based we video classification. for paradigm present findings, learning these","Based on these findings, we present a multi-task learning paradigm for video classification.",1424
+ability cross-dataset a in It strong generalization experiments. specifically the shows,It specifically shows a strong generalization ability in the cross-dataset experiments.,1425
+"the of these to graphs connecting the axonal correspond edges areas. The fibers,","The edges of the graphs correspond to the axonal fibers, connecting these areas.",1426
+case study of the the this connectomes. Exactly is the in,Exactly this is the case in the study of the connectomes.,1427
+boxes non-linear can defined are as effectively. that data black often very They map,They are often defined as black boxes that can map non-linear data very effectively.,1428
+CNN to tries paper This learned show an image. to at how has look,This paper tries to show how CNN has learned to look at an image.,1429
+"build mental surroundings. model with, first a we To might our begin of","To begin with, we might first build a mental model of our surroundings.",1430
+"remains cases in CNNs and processed in represented most understanding challenging. However, the information","However, understanding the information represented and processed in CNNs remains in most cases challenging.",1431
+"extrinsic gender, (i.e. factors and face ethnicity) and morphology, age, expression","face morphology, gender, age, expression and ethnicity) and extrinsic factors (i.e.",1432
+provide hope of additional interpretability for tool CNNs. an that We will methodology valuable our,We hope that our methodology will provide an additional valuable tool for interpretability of CNNs.,1433
+"novel approach. Adaptive a this we parameter-free propose To end, Norm Feature","To this end, we propose a novel parameter-free Adaptive Feature Norm approach.",1434
+vision computer and important one most classification Object problems. detection of is the,Object detection and classification is one of the most important computer vision problems.,1435
+achieved performance experimented standard dataset accuracy. and are DDSM evaluate the acceptable To,To evaluate the performance DDSM standard dataset are experimented and achieved acceptable accuracy.,1436
+"in foreground vision John find of objects ""outlierness"". using Tukey-inspired We data a measure low-level","We find foreground objects in low-level vision data using a John Tukey-inspired measure of ""outlierness"".",1437
+"directions issues to research two still above be addressed. the have Nevertheless, critical","Nevertheless, the above two research directions still have critical issues to be addressed.",1438
+show of the our methods. effectiveness Extensive experiments proposed,Extensive experiments show the effectiveness of our proposed methods.,1439
+of implications objectives. We several fundamental biotechnological these and describe biological the result to phenomena,We describe the implications of these result to several fundamental biological phenomena and biotechnological objectives.,1440
+the framework. of Experiments benchmark demonstrate four datasets AEEN-HOA on standard superiority,Experiments on four standard benchmark datasets demonstrate the superiority of AEEN-HOA framework.,1441
+"Iterative RIGNet. present approach an In Recurrent this for we Gating paper, called","In this paper, we present an approach for Recurrent Iterative Gating called RIGNet.",1442
+with is This a existing networks. be common powerful mechanism to with broad compatibility revealed,This is revealed to be a powerful mechanism with broad compatibility with common existing networks.,1443
+standard conduct datasets. retrieval comprehensive We on image experiments,We conduct comprehensive experiments on standard image retrieval datasets.,1444
+state-of-the-art method performance Our weakly achieves most datasets. ASDA supervised on,Our weakly supervised ASDA method achieves state-of-the-art performance on most datasets.,1445
+the for demonstrate that ASDA results effective method image The proposed retrieval. is,The results demonstrate that the proposed ASDA method is effective for image retrieval.,1446
+"we paper, person the identification. iQIYI-VID, for this multi-modal In video largest introduce dataset","In this paper, we introduce iQIYI-VID, the largest video dataset for multi-modal person identification.",1447
+person identification promote We have the released online to research. multi-modal dataset,We have released the dataset online to promote multi-modal person identification research.,1448
+to segmentation is method powerful a understanding. facilitate visual scene Semantic,Semantic segmentation is a powerful method to facilitate visual scene understanding.,1449
+means large very useful becomes scale This a to as summarize overhead imagery.,This becomes very useful as a means to summarize large scale overhead imagery.,1450
+we to work In paper overhead segmentation imagery. applications this present our on semantic with,In this paper we present our work on semantic segmentation with applications to overhead imagery.,1451
+compare with state-of-the-art We other datasets performance architectures. results several on report and,We report results on several datasets and compare performance with other state-of-the-art architectures.,1452
+"addition, assessments on If, increases the multi-modal imposed burden substantially. in imaging considered, disease is","If, in addition, multi-modal imaging is considered, the burden imposed on disease assessments increases substantially.",1453
+"integrate multi-modal almost leverage how unexplored. remains First, effectively data fully to and","First, how to effectively integrate and fully leverage multi-modal data remains almost unexplored.",1454
+"insufficient. instances cognitive tasks, recognizing on individual these better merely is To performance object achieve","To achieve better performance on these cognitive tasks, merely recognizing individual object instances is insufficient.",1455
+"strategy. present Learning In we (SRDL) work, a Deep this Self-Referenced","In this work, we present a Self-Referenced Deep Learning (SRDL) strategy.",1456
+spatiotemporal essential Capturing recognition. topic video an dynamics in is,Capturing spatiotemporal dynamics is an essential topic in video recognition.,1457
+"as motion. to capture Higher-order easier such make it context-sensitive patterns, operations","Higher-order operations make it easier to capture context-sensitive patterns, such as motion.",1458
+be more operations can and generic Learnable flexible. higher-order,Learnable higher-order operations can be more generic and flexible.,1459
+successes recent of generative The algorithm networks. the by idea is adversarial inspired of,The idea of the algorithm is inspired by recent successes of generative adversarial networks.,1460
+and memory at computational cost high domains of requirements. the multiple across,across multiple domains at the cost of high computational and memory requirements.,1461
+"filter-level CNNs. In pruning this work, present of we approach stability-based a for","In this work, we present a stability-based approach for filter-level pruning of CNNs.",1462
+money the in rate reaction empirical models with interest results support function. The,The empirical results support models with money in the interest rate reaction function.,1463
+These in the of degrade practical challenges applications. performance the methods existing,These challenges degrade the performance of the existing methods in practical applications.,1464
+"flow this based address paper, In to framework optical this is proposed problem. an","In this paper, an optical flow based framework is proposed to address this problem.",1465
+"we reconstruction. paper, live surface new collaborative In this system present a for dense","In this paper, we present a new system for live collaborative dense surface reconstruction.",1466
+"the For example, of question the answer grass?"" their is ""What color to the","For example, their answer to the question ""What is the color of the grass?""",1467
+"book?"" question ""Green"", is a of title like ""What usually the whereas the is","is usually ""Green"", whereas a question like ""What is the title of the book?""",1468
+be biases. by statistical answered inferring cannot,cannot be answered by inferring statistical biases.,1469
+VQA behaviors by learned examples also of results show models unusual in attempting tasks. Our,Our results also show examples of unusual behaviors learned by models in attempting VQA tasks.,1470
+Interaction interact with important to humans understand objects. (HOI) Human-Object an is how problem Detection,Human-Object Interaction (HOI) Detection is an important problem to understand how humans interact with objects.,1471
+extensively We V-COCO the evaluate datasets. method HICO-DET proposed and on,We extensively evaluate the proposed method on HICO-DET and V-COCO datasets.,1472
+devices rapidly. demand on semantic model of segmentation The has mobile been increasing applying,The demand of applying semantic segmentation model on mobile devices has been increasing rapidly.,1473
+CGNet and also memory of parameters to save designed the number is elaborately reduce footprint.,CGNet is also elaborately designed to reduce the number of parameters and save memory footprint.,1474
+"the Under an significantly proposed equivalent of parameters, CGNet existing segmentation number networks. outperforms","Under an equivalent number of parameters, the proposed CGNet significantly outperforms existing segmentation networks.",1475
+and effectiveness on the proposed approach. verify experiments of Extensive Cityscapes CamVid datasets the,Extensive experiments on Cityscapes and CamVid datasets verify the effectiveness of the proposed approach.,1476
+"DNNs datasets of limit Small and performance. limit the depth implementable,","Small datasets limit the depth of DNNs implementable, and limit performance.",1477
+of the scheme. analysis effectiveness Experimental and proposed results the demonstrate,Experimental results and analysis demonstrate the effectiveness of the proposed scheme.,1478
+"data, An during test as training. served dataset withheld internal","An internal dataset served as test data, withheld during training.",1479
+ROC ROC analysis was readout by The the evaluated = AUC). under curve (Area,The readout was evaluated by ROC analysis (Area under the ROC curve = AUC).,1480
+performance by strong Retina two-staged yields counterparts. detection its reached U-Net complex only more,Retina U-Net yields strong detection performance only reached by its more complex two-staged counterparts.,1481
+rates exchange eight dollar. set a the US We to apply against of model this,We apply this model to a set of eight exchange rates against the US dollar.,1482
+Experiments suppress backgrounds more demonstrate alarms that caused PAN false effectively. text-like by can,Experiments demonstrate that PAN can suppress false alarms caused by text-like backgrounds more effectively.,1483
+require applications try-on clothes Most images. virtual existing clean,Most existing virtual try-on applications require clean clothes images.,1484
+the for we attempt this present In alleviating re-training. at need paper a first,In this paper we present a first attempt at alleviating the need for re-training.,1485
+approach We different such of via show benefits several the an applications.,We show the benefits of such an approach via several different applications.,1486
+"have detect surveillance behaviour several unusual to Recently, been videos. in explored techniques","Recently, several techniques have been explored to detect unusual behaviour in surveillance videos.",1487
+learned the is activation The from by data dependency networks.,The dependency is learned from data by the activation networks.,1488
+"applications However, pretraining for or require sophisticated training, existing sets data often large schemes.","However, existing applications often require large data sets for training, or sophisticated pretraining schemes.",1489
+since integral Jewelry human part culture been an has of ages.,Jewelry has been an integral part of human culture since ages.,1490
+shows appealing. generated and designs visually by are our likeable evaluation approach highly that Our,Our evaluation shows that designs generated by our approach are highly likeable and visually appealing.,1491
+"this. we heuristic Following this, for two addressing review methods current","Following this, we review two current heuristic methods for addressing this.",1492
+"is regions in such always However, semantic not straightforward and define it locate to videos.","However, it is not always straightforward to define and locate such semantic regions in videos.",1493
+on clearly that SPCNET datasets start-of-the-art standard Experiments outperforms demonstrate our methods.,Experiments on standard datasets demonstrate that our SPCNET clearly outperforms start-of-the-art methods.,1494
+important numerous in applications detection is and with human-computer an interaction. robotics Fine-grained action task,Fine-grained action detection is an important task with numerous applications in robotics and human-computer interaction.,1495
+temporal model of independent jointly spatio-temporal Our (instead learns spatial using and streams). features,Our model jointly learns spatio-temporal features (instead of using independent spatial and temporal streams).,1496
+"instead the from temporal The pixel feature space e.g. of is space, learned component","The temporal component is learned from the feature space instead of pixel space, e.g.",1497
+"long-temporal features networks, used can flexibly e.g. with in produced other modeling be The conjunction","The produced features can be flexibly used in conjunction with other long-temporal modeling networks, e.g.",1498
+"compute propose paper, a new this (GFT). we Graph regression-based Transform to Fourier In algorithm","In this paper, we propose a new regression-based algorithm to compute Graph Fourier Transform (GFT).",1499
+"resulting the the desired. are always as sparse domain However, as reconstructions edge not in","However, the resulting reconstructions are not always as sparse in the edge domain as desired.",1500
+"cost in provide some Iteratively extended but improvement of reweighted methods the accuracy, runtime. at","Iteratively reweighted methods provide some improvement in accuracy, but at the cost of extended runtime.",1501
+for the We our provide theoretical analysis rotation-invariance by methods. also achieved,We also provide theoretical analysis for the rotation-invariance achieved by our methods.,1502
+the state-of-the-art quantitative that demonstrate experiments other outperforms Both methods. proposed and method qualitative,Both qualitative and quantitative experiments demonstrate that the proposed method outperforms other state-of-the-art methods.,1503
+"our describe In in this and to chest pneumonia approach we localization classification radiographs. work,","In this work, we describe our approach to pneumonia classification and localization in chest radiographs.",1504
+"of Moreover, up will are memory lots resources. networks which intensive neural take hardware","Moreover, neural networks are memory intensive which will take up lots of hardware resources.",1505
+feature convolutional of a find redundancy there maps from is We lot that in layers.,We find that there is a lot of redundancy in feature maps from convolutional layers.,1506
+MDNet in also The the of problem time major efficiency. lies,The major problem of MDNet also lies in the time efficiency.,1507
+bilinear Because can coordinates interpolation. RoIAlign by float process number,Because RoIAlign can process float number coordinates by bilinear interpolation.,1508
+performed checking techniques. using is task usually model This,This task is usually performed using model checking techniques.,1509
+"we verification. planning In model of paper, discuss this downside unconstrained the domain","In this paper, we discuss the downside of unconstrained planning domain model verification.",1510
+convolutional objective success neural learning The essential formulation for of is networks. the,The objective learning formulation is essential for the success of convolutional neural networks.,1511
+supervised through is A optimal the solution for learning. determined closed-form of the parameters integration,A closed-form solution of the optimal parameters for the integration is determined through supervised learning.,1512
+"each the we before to At propose integration. individual the level, local promote diffusion","At the local level, we propose to promote each individual diffusion before the integration.",1513
+relationship mathematical close the clustering. analysis diffusion spectral saliency Our and between reveals,Our mathematical analysis reveals the close relationship between saliency diffusion and spectral clustering.,1514
+of necessary accurate limb is estimate for position An movement.,An accurate estimate of limb position is necessary for movement.,1515
+features assumption that contain method adjacent is Our the redundant on information. based,Our method is based on the assumption that adjacent features contain redundant information.,1516
+"Thus, information. can the compact spatial more use effectively is model and proposed content and","Thus, the proposed model is more compact and can effectively use spatial and content information.",1517
+personality affective computing. emotion and are both to central analysis Apparent,Apparent personality and emotion analysis are both central to affective computing.,1518
+"and Siamese-like an introduce To network. end-to-end PersEmoN, we end, this trainable deep","To this end, we introduce PersEmoN, an end-to-end trainable and deep Siamese-like network.",1519
+dedicated personality to and their networks own are annotated Emotion dataset.,Emotion and personality networks are dedicated to their own annotated dataset.,1520
+"to is sources. an adversarial-like representation heterogeneous promote among Furthermore, coherence function loss employed dataset","Furthermore, an adversarial-like loss function is employed to promote representation coherence among heterogeneous dataset sources.",1521
+"explore Based emotion-to-apparent-personality on relationship. also this, the we","Based on this, we also explore the emotion-to-apparent-personality relationship.",1522
+demonstrate experiments Extensive the effectiveness of PersEmoN.,Extensive experiments demonstrate the effectiveness of PersEmoN.,1523
+"perceptual However, lack of there still style. artistic of components the is analysis computational of","However, there is still lack of computational analysis of perceptual components of the artistic style.",1524
+several style brings of Such advantages. decomposition,Such decomposition of style brings several advantages.,1525
+is a topic recently. inference of Convolutional Neural Efficient thriving Networks,Efficient inference of Convolutional Neural Networks is a thriving topic recently.,1526
+this method efficient to presents address This paper an challenge.,This paper presents an efficient method to address this challenge.,1527
+the aims to dehazing hazy Image a content recover image. from uncorrupted,Image dehazing aims to recover the uncorrupted content from a hazy image.,1528
+"additional data. coincides stable to fails explain the with solution One but Inmarsat-result,","One stable solution coincides with the Inmarsat-result, but fails to explain additional data.",1529
+"detect occluded blurry or it detectors challenging However, faces. remains tiny, for to face","However, it remains challenging for face detectors to detect tiny, occluded or blurry faces.",1530
+achieved our results. model on and state-of-art We WIDER FACE dataset evaluate,We evaluate our model on WIDER FACE dataset and achieved state-of-art results.,1531
+"commonalities multimodal modelling Typically, of explores structural imaging functional predictive connectomes across connectomes from data.","Typically, predictive modelling of functional connectomes from structural connectomes explores commonalities across multimodal imaging data.",1532
+weighted our based diffusion MRI fMRI We validate and on data. approach resting-state,We validate our approach based on resting-state fMRI and diffusion weighted MRI data.,1533
+videos. the language-based We untrimmed temporal in of address problem localization,We address the problem of language-based temporal localization in untrimmed videos.,1534
+"as windows Besides, ACL also sliding capability results. has the to localization regress","Besides, ACL also has the capability to regress sliding windows as localization results.",1535
+regions of over folds non-invertibility the surface itself. where,regions of non-invertibility where the surface folds over itself.,1536
+for Codes this publication. paper upon be released will,Codes for this paper will be released upon publication.,1537
+in couple has the seen tremendous of over past growth recognition face decades. Research,Research in face recognition has seen tremendous growth over the past couple of decades.,1538
+"network, physically-based of dataset a train generate To synthetic we images. novel the","To train the network, we generate a novel dataset of physically-based synthetic images.",1539
+using problem two-level screening We addressed system. a have this,We have addressed this problem using a two-level screening system.,1540
+in using is usually It problem computer networks. important an neural solved vision and is,It is an important problem in computer vision and is usually solved using neural networks.,1541
+"we Refinement To Network architecture. the introduce end, this Double","To this end, we introduce the Double Refinement Network architecture.",1542
+attacker). target parameters architecture are the to model's when not known and,when the target model's architecture and parameters are not known to attacker).,1543
+algorithms Current the level enhance seek decision on that i.e. to transferability adversarial work attack,Current attack algorithms that seek to enhance adversarial transferability work on the decision level i.e.,1544
+generate decisions. the alter that perturbations network,generate perturbations that alter the network decisions.,1545
+for task. cross-entropy beyond generalize original not its object softmax recognition) therefore does and,softmax cross-entropy for object recognition) and therefore does not generalize beyond its original task.,1546
+"significantly This builds the ensembling a which system, the model. robustness tight of improves","This builds a tight ensembling system, which significantly improves the robustness of the model.",1547
+"computational scales general, cost the GAN the of with training exponentially resolution. In","In general, the computational cost of training GAN scales exponentially with the resolution.",1548
+specific train own discriminator. We sub-generator each its with,We train each sub-generator with its own specific discriminator.,1549
+the low-resolution a input. problem from high-resolution We image a address blurry of face restoring,We address the problem of restoring a high-resolution face image from a blurry low-resolution input.,1550
+deblurring This and as difficult super-resolution be tackled need to problem is simultaneously.,This problem is difficult as super-resolution and deblurring need to be tackled simultaneously.,1551
+"the well. details CNN handle image cannot based However, method","However, the CNN based method cannot handle image details well.",1552
+novel facial via further exemplar-based enhancement detail matching. We component develop algorithm a,We further develop a novel exemplar-based detail enhancement algorithm via facial component matching.,1553
+show outperforms and Extensive experiments state-of-the-art qualitatively. proposed the quantitatively the method algorithms that both,Extensive experiments show that the proposed method outperforms the state-of-the-art algorithms both quantitatively and qualitatively.,1554
+models detection of data. object Conventional require amounts training large,Conventional object detection models require large amounts of training data.,1555
+"merely previously unseen by their objects semantic In knowing can description. humans recognize comparison,","In comparison, humans can recognize previously unseen objects by merely knowing their semantic description.",1556
+"understanding significantly and Particularly, object improves it recognition. scene","Particularly, it significantly improves scene understanding and object recognition.",1557
+Markov move-making algorithms (MRFs). consider We multi-label Fields of energy for Random minimization,We consider move-making algorithms for energy minimization of multi-label Markov Random Fields (MRFs).,1558
+"Such include methods range-moves. {\alpha}{\beta}-swap, {\alpha}-expansion, and","Such methods include {\alpha}-expansion, {\alpha}{\beta}-swap, and range-moves.",1559
+with algorithms. respect substantial previous improvement Experiments to move-making show,Experiments show substantial improvement with respect to previous move-making algorithms.,1560
+"clear, and partial is into cloudy used days. index days cloudy Clearness to classify","Clearness index is used to classify days into clear, cloudy and partial cloudy days.",1561
+codes and decoding decoded typically hard Staircase bounded-distance (BDD) are (SCCs) using decisions. iterative,Staircase codes (SCCs) are typically decoded using iterative bounded-distance decoding (BDD) and hard decisions.,1562
+method using rigorously validated This embedding. complete is pathological,This method is rigorously validated using complete pathological embedding.,1563
+was tumor evaluated percentage change against semi-automatic of volume The segmentations.,The percentage of tumor volume change was evaluated against semi-automatic segmentations.,1564
+"labeled the to Readily has the synthetic potential data available, accurately effort. reduce","Readily available, accurately labeled synthetic data has the potential to reduce the effort.",1565
+use occlusion problem. gain We on masking the probabilistic insight to,We use probabilistic occlusion masking to gain insight on the problem.,1566
+"important estimation is blind Therefore, of for image the deblurring. the essentially blur kernel","Therefore, the estimation of the blur kernel is essentially important for blind image deblurring.",1567
+"this and the magnitude, pattern the paper.) motion direction it we motion in call","the motion direction and magnitude, we call it the motion pattern in this paper.)",1568
+"the kernel blur, to estimation that caused approach. new blur a efficient leading and","that caused the blur, leading to a new and efficient blur kernel estimation approach.",1569
+"further blur our We which non-uniform approach blur, spatially varying extend involves to handle kernels.","We further extend our approach to handle non-uniform blur, which involves spatially varying blur kernels.",1570
+"an area with applications. active research, generation possible text-to-image many of is Conditional","Conditional text-to-image generation is an active area of research, with many possible applications.",1571
+approach interactive our is important toward an believe We step generation.,We believe our approach is an important step toward interactive generation.,1572
+videos. frames low to video resolutions information degrade downsample surveillance We extremely private from to,We downsample video frames to extremely low resolutions to degrade private information from surveillance videos.,1573
+"requiring restrictive suboptimal. However, both image-level discrete labels and is","However, requiring discrete image-level labels is both restrictive and suboptimal.",1574
+"of consists Real-world usually text, as ""supervision"" unstructured captions. more such","Real-world ""supervision"" usually consists of more unstructured text, such as captions.",1575
+between we work association learn images captions. maps this In and,In this work we learn association maps between images and captions.,1576
+"captions detection Further, show on we results encouraging image-level only. object from","Further, we show encouraging results on object detection from image-level captions only.",1577
+are by How these al. computed and is responses much-debated et beliefs represented (Fiser neural,How these beliefs are computed and represented by neural responses is much-debated (Fiser et al.,1578
+CNNs combines Our to BSIF of method image. lightweight classify input views multiple the,Our method combines lightweight CNNs to classify multiple BSIF views of the input image.,1579
+"agents. is the as environment channel generic the modelled Firstly, communication between","Firstly, the environment is modelled as the generic communication channel between agents.",1580
+"the Secondly, agent architecture, UIC a adopts e.g. for learning-agent several unifying well-adopted model model","Secondly, the UIC model adopts a learning-agent model for unifying several well-adopted agent architecture, e.g.",1581
+and explicitly transfer. implicit information transfer information,explicitly information transfer and implicit information transfer.,1582
+"time, same expansion horizontal the network At (e.g.","At the same time, horizontal expansion network (e.g.",1583
+network Model) Inception improve been fully has performance investigated. to not as an way alternative,Inception Model) as an alternative way to improve network performance has not been fully investigated.,1584
+"of performance. leaf achieved even less nodes, all By maps features combining better feature","By combining all features of leaf nodes, even less feature maps achieved better performance.",1585
+"generate the always the To of ATP needed. oscillation, hydrolysis is","To generate the oscillation, the hydrolysis of ATP is always needed.",1586
+also directly sampling. extended This be to method may complementary,This method may be also directly extended to complementary sampling.,1587
+of non-negative sampling only modified The patterns. consists,The modified sampling consists only of non-negative patterns.,1588
+images challenge. a Detecting has significant become emerging manipulated,Detecting manipulated images has become a significant emerging challenge.,1589
+"framework, design correlation independent tracking multi-hierarchical a this paper, (MHIT). called In we novel filters","In this paper, we design a novel tracking framework, called multi-hierarchical independent correlation filters (MHIT).",1590
+have the any detection accuracy loss. improvements slightly of without speed increased These,These improvements have slightly increased the speed of detection without any accuracy loss.,1591
+applications. improve results all Push-pull inhibition to helped considerably in,Push-pull inhibition helped to improve results considerably in all applications.,1592
+"Currently, based on bag-of-words are approach. most solutions the","Currently, most solutions are based on the bag-of-words approach.",1593
+applicability the by deep we paper neural this both addressing networks demonstrate In issues. of,In this paper we demonstrate the applicability of deep neural networks by addressing both issues.,1594
+vision. modeling problem in challenging a is videos in fundamental yet Temporal computer,Temporal modeling in videos is a fundamental yet challenging problem in computer vision.,1595
+saliency geometric computed the The map vertex is curvature. based on,The geometric saliency map is computed based on the vertex curvature.,1596
+models discriminated. are and non-face face The then,The face and non-face models are then discriminated.,1597
+of comparisons the The proposed experiments prove the framework. and effectiveness,The experiments and comparisons prove the effectiveness of the proposed framework.,1598
+LiDAR multiple clouds realistic demonstrate practicality on our point from the We surveys. method of,We demonstrate the practicality of our method on realistic point clouds from multiple LiDAR surveys.,1599
+long-length existing methods. the gives summarization for results CSNet to compared videos better Our,Our CSNet gives better summarization results for long-length videos compared to the existing methods.,1600
+"in the In videos. to attention introduce addition, information handle mechanism dynamic we an","In addition, we introduce an attention mechanism to handle the dynamic information in videos.",1601
+tomography unknown and establishes a This connection between (uDGP). geometry problem view unassigned distance,This establishes a connection between unknown view tomography and unassigned distance geometry problem (uDGP).,1602
+background aims segments objects. foreground to BGS $\mathcal{B}$ and models segmenter construct The,The BGS segmenter $\mathcal{B}$ aims to construct background models and segments foreground objects.,1603
+and on threads. $\mathcal{S}$ two in work parallel $\mathcal{B}$,$\mathcal{B}$ and $\mathcal{S}$ work in parallel on two threads.,1604
+"At time, the segmenter real-time semantic ${S}_t$. $\mathcal{S}$ semantics extracts same the object-level the","At the same time, the real-time semantic segmenter $\mathcal{S}$ extracts the object-level semantics ${S}_t$.",1605
+"the update background is Finally, the to model. fed FG/BG back ${D}_t$ refined mask","Finally, the refined FG/BG mask ${D}_t$ is fed back to update the background model.",1606
+"very proposed flexible addition, the potential and has our for is In framework generalization.","In addition, our proposed framework is very flexible and has the potential for generalization.",1607
+generator. interpretable propose We efficient an graph and scene,We propose an efficient and interpretable scene graph generator.,1608
+details accuracy illustrated. the been and have various measures of Comprehensive metrics,Comprehensive details of the various accuracy measures and metrics have been illustrated.,1609
+"of datasets the overview, giving For are clear purpose the a relevant discussed. characteristics of","For the purpose of giving a clear overview, the characteristics of relevant datasets are discussed.",1610
+pairs. generate to realistic image introduced exposure short-long is novel A approach,A novel approach is introduced to generate realistic short-long exposure image pairs.,1611
+of also fusion blur. in enables It exposure the presence motion,It also enables exposure fusion in the presence of motion blur.,1612
+"lead However, misdiagnosis. to may suffers artifacts patient from caused by movements which it motion","However, it suffers from motion artifacts caused by patient movements which may lead to misdiagnosis.",1613
+in problem. results optimization non-convex a This challenging,This results in a challenging non-convex optimization problem.,1614
+Our and applications. contribution extensions future promises,Our contribution promises future extensions and applications.,1615
+the pixels among and relation RETRaIN the active neighboring regions. encodes facial The of reference,The RETRaIN encodes the relation among the reference and neighboring pixels of facial active regions.,1616
+The superior in accuracy state-of-the-art comparison achieves recognition RETRaIN to techniques.,The RETRaIN achieves superior recognition accuracy in comparison to state-of-the-art techniques.,1617
+"automated This precise and imply adaptive methods using software. sensors demand and objective,","This demand imply objective, precise and automated methods using sensors and adaptive software.",1618
+overcome to primary functional Compressed solutions two split CPRI this. are and,Compressed CPRI and functional split are two primary solutions to overcome this.,1619
+"paper, for (VRF) introduce In this the C-RAN. of Rate Variable we concept Fronthaul","In this paper, we introduce the concept of Variable Rate Fronthaul (VRF) for C-RAN.",1620
+transport C-RAN efficient a allows shared This cells of data backhaul. for more over a,This allows for a more efficient transport of C-RAN cells data over a shared backhaul.,1621
+"of most only single training works type of data. exploit the However,","However, most of the works only exploit single type of training data.",1622
+We that increase also significantly transfer classification can learning performance. show the,We also show that transfer learning can significantly increase the classification performance.,1623
+for intuitively planning. plans and allows users more criticize to visualize mixed-initiative TGE-viz,TGE-viz allows users to visualize and criticize plans more intuitively for mixed-initiative planning.,1624
+segmenting Processing usually and nuclei cytology overlapping involve cells. images,Processing cytology images usually involve segmenting nuclei and overlapping cells.,1625
+"have or Recently, into captions, sentiment the as non-factual such aspects style. incorporated some models","Recently, some models have incorporated non-factual aspects into the captions, such as sentiment or style.",1626
+"to better attention-based To add image to design we model sentiment captions. address this, an","To address this, we design an attention-based model to better add sentiment to image captions.",1627
+with evaluation using The the in captioning sentiment metrics. standard work state-of-the-art model outperforms image,The model outperforms the state-of-the-art work in image captioning with sentiment using standard evaluation metrics.,1628
+an FANet end-to-end in manner. trained The whole is,The whole FANet is trained in an end-to-end manner.,1629
+"have gained including CBIR. learning vision, computer attention in methods Recently, deep","Recently, deep learning methods have gained attention in computer vision, including CBIR.",1630
+for paper segmentation. an and presents jointly semantic registration facade approach solving This efficient,This paper presents an efficient approach for solving jointly facade registration and semantic segmentation.,1631
+the to we registration. aim the through improve of the segmentation quality semantic Simultaneously,Simultaneously we aim to improve the quality of the semantic segmentation through the registration.,1632
+two in jointly a framework. solved are Expectation-Maximization problems These,These two problems are jointly solved in a Expectation-Maximization framework.,1633
+observed videos. aims human partially recognizing This at paper in actions,This paper aims at recognizing partially observed human actions in videos.,1634
+"observed. contain often actions partially uncontrolled make Action environments videos frames, which in corrupt acquired","Action videos acquired in uncontrolled environments often contain corrupt frames, which make actions partially observed.",1635
+"arbitrary appear of irregularly. frames last these for Furthermore, time can and lengths","Furthermore, these frames can last for arbitrary lengths of time and appear irregularly.",1636
+training and performance data the action of are recognition pre-trained systems. degrade They inconsistent with,They are inconsistent with training data and degrade the performance of pre-trained action recognition systems.,1637
+present this We an issue. to address approach,We present an approach to address this issue.,1638
+alternatives each from data. We augment extra segment retrieved training with,We augment each segment with extra alternatives retrieved from training data.,1639
+road successive two scene of consists This construction. detection and stages:,This consists of two successive stages: road detection and scene construction.,1640
+by detection new Markov a is realized The field random (MRF) algorithm. superpixel road,The road detection is realized by a new superpixel Markov random field (MRF) algorithm.,1641
+interaction spatio-temporally the on established superpixels. the smoothness The is basis of term adjacent of,The smoothness term is established on the basis of the interaction of spatio-temporally adjacent superpixels.,1642
+"the scene construction, and are background independently. the subsequent modeled regions foreground In","In the subsequent scene construction, the foreground and background regions are modeled independently.",1643
+TempCNNs the is for evaluate quantitatively and contribution goal The classification. SITS to qualitatively of,The goal is to quantitatively and qualitatively evaluate the contribution of TempCNNs for SITS classification.,1644
+"e.g. in also We highlight obtained computer differences some vision, results with","We also highlight some differences with results obtained in computer vision, e.g.",1645
+"produced TempCNNs. quality the the visual land cover of assess maps Finally, by we","Finally, we assess the visual quality of the land cover maps produced by TempCNNs.",1646
+demonstrate performance We achieves datasets. on that challenging MonoGRNet state-of-the-art,We demonstrate that MonoGRNet achieves state-of-the-art performance on challenging datasets.,1647
+an important pose task. from Hand a challenging image estimation but RGB is monocular,Hand pose estimation from a monocular RGB image is an important but challenging task.,1648
+"and CMU-PS hand benchmarks, three TAGAN evaluate pose RHP, on the We STB, including datasets.","We evaluate TAGAN on three benchmarks, including the RHP, STB, and CMU-PS hand pose datasets.",1649
+task many it a image is affected since factors. by challenging very Human generation is,Human image generation is a very challenging task since it is affected by many factors.,1650
+on indicate Extensive experiments the our of method. and potential LIP COCO datasets,Extensive experiments on COCO and LIP datasets indicate the potential of our method.,1651
+"to limitations. In this a we network paper, overcome deep novel neural propose such structure-aware","In this paper, we propose a novel structure-aware deep neural network to overcome such limitations.",1652
+datasets on method. effectiveness tracking our validated proposed the of experiments Extensive five benchmark,Extensive experiments on five tracking benchmark datasets validated the effectiveness of our proposed method.,1653
+is reconstruction anomaly error as indicator. used an frame The,The frame reconstruction error is used as an anomaly indicator.,1654
+shown Our in effective to in be detecting videos. is model anomalies,Our model is shown to be effective in detecting anomalies in videos.,1655
+approachcould in requiring a be common component sense. This applications visual,This approachcould be a component in applications requiring visual common sense.,1656
+"extensively studied hashing been methods have retrieval. Recently, for large-scale similarity-preserving image","Recently, similarity-preserving hashing methods have been extensively studied for large-scale image retrieval.",1657
+an identity-preserving introduce different to subjects. between that aids distinguish the discriminator loss We adversarial,We introduce an identity-preserving adversarial loss that aids the discriminator to distinguish between different subjects.,1658
+centerline regularization. vessel combines constraints divergence with robust reconstruction curvature Our tree,Our vessel tree centerline reconstruction combines divergence constraints with robust curvature regularization.,1659
+and spotting competitive reading The end-to-end text achieve developed also performance. systems scene very,The developed end-to-end systems also achieve very competitive scene text spotting and reading performance.,1660
+It be verified resulting can that a finite estimator variance. has the,It can be verified that the resulting estimator has a finite variance.,1661
+"further unified is Under this function formulation, each encode defined to objective a cue.","Under this formulation, a unified objective function is further defined to encode each cue.",1662
+every system signals. physical processing which on signal in take nearly digital operates part Quantizers,Quantizers take part in nearly every digital signal processing system which operates on physical signals.,1663
+then networks. estimation our in channel apply We massive technique MIMO proposed to,We then apply our proposed technique to channel estimation in massive MIMO networks.,1664
+its instead of hide to when agent intentions. trying the revealing is,when the agent is trying to hide instead of revealing its intentions.,1665
+is This rigorous using formulation. yet achieved probabilistic computationally-efficient a,This is achieved using a rigorous yet computationally-efficient probabilistic formulation.,1666
+estimation as Point-set likelihood EM and is cast maximum a the using registration solved algorithm.,Point-set registration is cast as a maximum likelihood estimation and solved using the EM algorithm.,1667
+sideslip framework novel of presents angle. paper the estimation a for This,This paper presents a novel framework for estimation of the sideslip angle.,1668
+observer. proposed with conjunction in utilizes a an adaptive algorithm model model-based The tire,The proposed algorithm utilizes an adaptive tire model in conjunction with a model-based observer.,1669
+on drive vehicle. algorithm a tests developed wheel The experimental is rear through evaluated,The developed algorithm is evaluated through experimental tests on a rear wheel drive vehicle.,1670
+role information. features efficiently temporal visual Extracting representation and a sequence plays in pivotal understanding,Extracting temporal and representation features efficiently plays a pivotal role in understanding visual sequence information.,1671
+modeling out complexity the the rules explicitly it. of The of distribution possibility conditional,The complexity of the conditional distribution rules out the possibility of explicitly modeling it.,1672
+"on optimization. exploit Instead, that the fact deep rely learning frameworks stochastic we","Instead, we exploit the fact that deep learning frameworks rely on stochastic optimization.",1673
+study finite-sample Monte Carlo We means simulations. by of properties of the our estimators,We study the finite-sample properties of our estimators by means of Monte Carlo simulations.,1674
+samples over consecutive accuracy identification suggest for promising The . days collected results,The results suggest promising identification accuracy for samples collected over consecutive days .,1675
+"the ShelfNet. performance of experiments, validated we Through superior extensive","Through extensive experiments, we validated the superior performance of ShelfNet.",1676
+This data use keypoint unlabeled train detector. the design extensively to the allows us to,This design allows us to extensively use the unlabeled data to train the keypoint detector.,1677
+approach human this We structures. with empirically of block participants' ratings the assess,We empirically assess this approach with human participants' ratings of the block structures.,1678
+node comprehensive enable to descriptors action over based joint on contextual segmentation inference information. as,as node descriptors to enable action segmentation based on joint inference over comprehensive contextual information.,1679
+"do stored, With need or more. communicated, not calculated, any matched to descriptors this, be","With this, descriptors do not need to be calculated, stored, communicated, or matched any more.",1680
+alternatives. to evaluate state-of-the-art relative performance We,We evaluate performance relative to state-of-the-art alternatives.,1681
+their neural behavior. of (DNNs) networks explain is Understanding internal crucal the to representations deep,Understanding the internal representations of deep neural networks (DNNs) is crucal to explain their behavior.,1682
+We show to reducible learning. is problem and the `corrective' `natural',We show the problem is reducible to `natural' and `corrective' learning.,1683
+have super-resolution. networks Convolutional recently image demonstrated for interesting results single neural,Convolutional neural networks have recently demonstrated interesting results for single image super-resolution.,1684
+"to with networks However, images. super-resolution deal were these on trained natural problem","However, these networks were trained to deal with super-resolution problem on natural images.",1685
+"single present text our we for the super-resolution. database To network, evaluate image","To evaluate the network, we present our database for single text image super-resolution.",1686
+selection model semiparametric studies This models. econometric paper in,This paper studies model selection in semiparametric econometric models.,1687
+demonstrate LM-BIC simulations. and UT proposed procedures performance in The good semiparametric,The proposed semiparametric LM-BIC and UT procedures demonstrate good performance in simulations.,1688
+"annotation. In Lucas-Kanade contrast, algorithm well the works without any (LK)","In contrast, the Lucas-Kanade (LK) algorithm works well without any annotation.",1689
+"learned features. we perform on tracking LK testing, During the the","During testing, we perform the LK tracking on the learned features.",1690
+"of such method contrast, In not annotation. any use does make our","In contrast, our method does not make use of any such annotation.",1691
+"of calcium part insulin the is pancreatic secretion. glucose-stimulated In $\beta$-cells, signal oscillation core","In pancreatic $\beta$-cells, calcium oscillation signal is the core part of glucose-stimulated insulin secretion.",1692
+plays part a in ATP process. this crucial,ATP plays a crucial part in this process.,1693
+proposed providing capability provided and also Qualitative the analysis DiGGAN's has evidences. been demonstrates in,Qualitative analysis has also been provided and demonstrates the proposed DiGGAN's capability in providing evidences.,1694
+Printed OCR an text is industrial systems. problem important recognition for,Printed text recognition is an important problem for industrial OCR systems.,1695
+fashion settings. in is text standard in constructed Printed a procedural most,Printed text is constructed in a standard procedural fashion in most settings.,1696
+understanding. is vital and Accurate tracking of detection effective objects for video,Accurate detection and tracking of objects is vital for effective video understanding.,1697
+"be and impact does quality quality How marketplace predicted? outcomes, image automatically can","How does image quality impact marketplace outcomes, and can quality be automatically predicted?",1698
+captioning networks image Deep the neural have great on successes task. achieved,Deep neural networks have achieved great successes on the image captioning task.,1699
+generate plausible used how to to The teach captioning sentence corpus is the sentences. model,The sentence corpus is used to teach the captioning model how to generate plausible sentences.,1700
+"paper, robust adversarially fast In training study of we this models.","In this paper, we study fast training of adversarially robust models.",1701
+"solution. label, closed-form adversarial heuristic To the generate an we derive","To generate the adversarial label, we derive an closed-form heuristic solution.",1702
+"coupled our model adversarial Then part, improves results. with state-of-the-art the the significantly label","Then coupled with the adversarial label part, our model significantly improves the state-of-the-art results.",1703
+"dialogue, Argumentation-based been have handle which and exchange through arguments widely systems, can dialogue researched.","Argumentation-based dialogue systems, which can handle and exchange arguments through dialogue, have been widely researched.",1704
+systems are dialogue missing dialogue exhaustively that information-seeking information. examine strategies based Existing handcrafted on,Existing information-seeking dialogue systems are based on handcrafted dialogue strategies that exhaustively examine missing information.,1705
+"in arguments. However, strategies information not are rational specialized proposed constructing the for collecting","However, the proposed strategies are not specialized in collecting information for constructing rational arguments.",1706
+two argumentative We of dialogue. domains conducted different dialogue experiments from using datasets,We conducted dialogue experiments using two datasets from different domains of argumentative dialogue.,1707
+deep Recent impact learning successes neuroscience. have started in to,Recent successes in deep learning have started to impact neuroscience.,1708
+perform demonstrate to poorly segmentation the We challenge. neuron first that state-of-the-art current approaches on,We first demonstrate that current state-of-the-art approaches to neuron segmentation perform poorly on the challenge.,1709
+"run recognition It I-frames, need to for only i.e. complete a network","It only need to run a complete recognition network for I-frames, i.e.",1710
+"knowledge planning procedure surface about the requires terrains. planetary no prior Moreover,","Moreover, the planning procedure requires no prior knowledge about planetary surface terrains.",1711
+"dataset past, focused without we text image visual data. search in the only In","In the past, we only focused visual search in image dataset without text data.",1712
+"search, of there Compared needs not has researches. multimodal been the sufficient to","Compared to the needs of multimodal search, there has not been sufficient researches.",1713
+two image and tasks search as tasks. matching different text This regards two of,This regards two tasks of image search and text matching as two different tasks.,1714
+compare we single these space searching Then datasets. multimodal to searching the performance in of,Then we compare the performance of multimodal searching to single space searching in these datasets.,1715
+in localize objects advances to Recent attention of recognition maps utilize fine-grained interest.,Recent advances in fine-grained recognition utilize attention maps to localize objects of interest.,1716
+attention by and activations. aggregating map max-pooling output The is generated the,The attention map is generated by aggregating and max-pooling the output activations.,1717
+"model heavily i.e. state-of-the-art Our datasets, on results benchmarked achieves three","Our model achieves state-of-the-art results on three heavily benchmarked datasets, i.e.",1718
+of information becoming machine is learning the various modes Incorporating a procedure into new trend.,Incorporating various modes of information into the machine learning procedure is becoming a new trend.,1719
+algorithms way. detection proposed a saliency coarse-to-fine the multimodal on We validate in,We validate the proposed algorithms on multimodal saliency detection in a coarse-to-fine way.,1720
+The weighting results adaptive of domain. maps each via from can be obtained final,The final results can be obtained via adaptive weighting of maps from each domain.,1721
+They a part visual of significant human perception. embody,They embody a significant part of human visual perception.,1722
+"gray-scale In given a hallucinating this paradigm of the image. from we explore colours paper,","In this paper, we explore the paradigm of hallucinating colours from a given gray-scale image.",1723
+methods vividly through Our and of display colourization versatility proficiency life-like results outcomes. our the,Our results vividly display the versatility and proficiency of our methods through life-like colourization outcomes.,1724
+"interplay between coexistence at sharing large unclear. a scale and inter-technology the remains Nevertheless, intra-network","Nevertheless, the interplay between intra-network sharing and inter-technology coexistence at a large scale remains unclear.",1725
+"model to UNB and framework this analyze develop an analytical we networks. in paper, Thus,","Thus, in this paper, we develop an analytical framework to model and analyze UNB networks.",1726
+optimal morbidity. stimulation the reduce of times surgical and Pre-operative can localization zone,Pre-operative localization of the optimal stimulation zone can reduce surgical times and morbidity.,1727
+results with surgical our of planning. method a We compare registration-based,We compare our results with a registration-based method of surgical planning.,1728
+directed studies process. demonstrate ML-guided that case the evolution provide then two We,We then provide two case studies that demonstrate the ML-guided directed evolution process.,1729
+niche the tissue epithelial of and critical cell stem The to function. is morphology maintenance,The maintenance of the stem cell niche is critical to epithelial tissue morphology and function.,1730
+this goal. We new this achieves demonstrate methodology that,We demonstrate that this new methodology achieves this goal.,1731
+image same image large the use or typically patches. filters over the whole over They,They typically use the same filters over the whole image or over large image patches.,1732
+local for they estimate then scale Only to perspective distortion. do compensate,Only then do they estimate local scale to compensate for perspective distortion.,1733
+and function the can inherently utility between This trade-off demonstrate OMA NOMA.,This utility function can inherently demonstrate the trade-off between OMA and NOMA.,1734
+"the Moreover, allocation derived. power in closed-form is the for solution second step","Moreover, the closed-form solution for power allocation in the second step is derived.",1735
+accepted explanations Small understand. decision generally makers easier human are to as for,Small explanations are generally accepted as easier for human decision makers to understand.,1736
+This paper constraint-agnostic any develops a computing solution for model. ML for explanations,This paper develops a constraint-agnostic solution for computing explanations for any ML model.,1737
+of imagery can the achieved tweaking be interpolation effects control A coefficients. smooth by,A smooth control of imagery effects can be achieved by tweaking the interpolation coefficients.,1738
+"even to the observed m-phases). be is types This same intersection within (n-arm,","This is even to be observed within the same intersection types (n-arm, m-phases).",1739
+"By a requiring faster. deep is contrast, network, in single forward inference much a pass,","By contrast, inference in a deep network, requiring a single forward pass, is much faster.",1740
+the There models. common two resulting optimizing of ways are,There are two common ways of optimizing the resulting models.,1741
+is It gradient that methods known exhibit problems. well convergence ill-conditioned slow for based,It is well known that gradient based methods exhibit slow convergence for ill-conditioned problems.,1742
+"networks with In similar we structure. scheme, use neural our two","In our scheme, we use two neural networks with similar structure.",1743
+results show generate mask. our instance can Experimental fine-grained scheme that,Experimental results show that our scheme can generate fine-grained instance mask.,1744
+also We a proposed method. lymphocyte segmentation,We also proposed a lymphocyte segmentation method.,1745
+detection an nucleus also and We classification. segmentation lymphocyte proposed based on for algorithm,We also proposed an algorithm for lymphocyte segmentation based on nucleus detection and classification.,1746
+paper. two major contributions are There this in,There are two major contributions in this paper.,1747
+video tasks recognition activity most analysis. of in the challenging one is Egocentric,Egocentric activity recognition is one of the most challenging tasks in video analysis.,1748
+requires a of and objects their discrimination manipulation. fine-grained It small,It requires a fine-grained discrimination of small objects and their manipulation.,1749
+"images images, less potentially unlabelled than these useful Whilst of labelled can information. value contain","Whilst of less value than labelled images, these unlabelled images can contain potentially useful information.",1750
+Current service a in genome (e.g. techniques a provider allow sequencing,Current techniques in sequencing a genome allow a service provider (e.g.,1751
+segmentation a computer are in object for as existing methods Most vision formulated task. labeling,Most existing methods for object segmentation in computer vision are formulated as a labeling task.,1752
+classical And the methods. compare result of with methods labeling these we some image,And we compare the result of these methods with some classical image labeling methods.,1753
+"separately via framework. ""learning the translation"" undertakes components More two specifically, in SPGAN the","More specifically, SPGAN separately undertakes the two components in the ""learning via translation"" framework.",1754
+networks. model re-ID using then existing a It learns,It then learns a re-ID model using existing networks.,1755
+"re-ID integrates eSPGAN learning. seamlessly translation image and comparison, In model","In comparison, eSPGAN seamlessly integrates image translation and re-ID model learning.",1756
+"cues. and Such photographs texture include which shading color, systems on been have trained","Such systems have been trained on photographs which include color, texture and shading cues.",1757
+that results the show methods Simulation near-optimal performance. proposed yield,Simulation results show that the proposed methods yield near-optimal performance.,1758
+A is in MagicVO shown the pipeline of Fig.,A pipeline of the MagicVO is shown in Fig.,1759
+shuffle using operations). depth-wise convolutions or channel,using depth-wise convolutions or channel shuffle operations).,1760
+exploit low-rank the matrices optimization a problem. regularized We combined to property formulate of the,We exploit the low-rank property of the matrices to formulate a combined regularized optimization problem.,1761
+context single recovery. algorithm multi-channel We demonstrate images the MR of in our and,We demonstrate our algorithm in the context of single and multi-channel MR images recovery.,1762
+that provides state-of-the-art approaches. proposed Numerical recovery algorithm experiments over improved indicate performance the the,Numerical experiments indicate that the proposed algorithm provides improved recovery performance over the state-of-the-art approaches.,1763
+of language One survivors stroke have third difficulties.,One third of stroke survivors have language difficulties.,1764
+with Our are in line lesion findings studies. previous,Our findings are in line with previous lesion studies.,1765
+trained is additional without The Deep Regionlets framework efforts. end-to-end,The Deep Regionlets framework is trained end-to-end without additional efforts.,1766
+effects. our view-dependent core is the component A of handling work of,A core component of our work is the handling of view-dependent effects.,1767
+object. the input As of video we are an data RGB using,As input data we are using an RGB video of the object.,1768
+of used geometry multi-view video stereo. reconstruct This to object a proxy via the is,This video is used to reconstruct a proxy geometry of the object via multi-view stereo.,1769
+"propose we To a neural deep end, view-dependent network that EffectsNet, this effects. predicts","To this end, we propose EffectsNet, a deep neural network that predicts view-dependent effects.",1770
+"images estimations, convert to to on these able images. diffuse are we observed Based","Based on these estimations, we are able to convert observed images to diffuse images.",1771
+other into can images be views. These projected diffuse,These diffuse images can be projected into other views.,1772
+"view, view-dependent the effects. the In new reinserts pipeline our target","In the target view, our pipeline reinserts the new view-dependent effects.",1773
+based a multiple-kernel kernels on propose from gradients. We local-patch efficient match descriptor pixel,We propose a multiple-kernel local-patch descriptor based on efficient match kernels from pixel gradients.,1774
+effect We patch whitening its and the the meaning. on semantic analyze demonstrate similarity of,We analyze the effect of the whitening on patch similarity and demonstrate its semantic meaning.,1775
+the best is the without variant performing Our constructed of data. labeled descriptor unsupervised need,Our unsupervised variant is the best performing descriptor constructed without the need of labeled data.,1776
+"factors the with relate is observation. $y_{n}=Qf_{n}+\varepsilon_{n}$ the The taken to equation,","The equation, $y_{n}=Qf_{n}+\varepsilon_{n}$ is taken to relate the factors with the observation.",1777
+rank of Estimating determining $p$ numerical to $\tilde{M}$. is the equated,Estimating $p$ is equated to determining the numerical rank of $\tilde{M}$.,1778
+"groups In addition, learn among the improve representational to we effective capability. connections","In addition, we learn effective connections among groups to improve the representational capability.",1779
+"other tasks. Group-Net generalization proposed the to shows Moreover, strong","Moreover, the proposed Group-Net shows strong generalization to other tasks.",1780
+process. training network such challenge non-differentiable The in top-K is the a selection,The challenge in training such a network is the non-differentiable top-K selection process.,1781
+to an obtain visually Braille information. impaired and learn is for way the effective knowledge,Braille is an effective way for the visually impaired to learn knowledge and obtain information.,1782
+to image Braille detect dots the image. in Braille whole aims Braille recognition automatically,Braille image recognition aims to automatically detect Braille dots in the whole Braille image.,1783
+and dots the is basic Braille image core for detection step Braille recognition.,Braille dots detection is the core and basic step for Braille image recognition.,1784
+have website. released We images our GitHub dataset on Braille the,We have released our Braille images dataset on the GitHub website.,1785
+use tree a introduce novel policy guide to algorithms that search search. two We,We introduce two novel tree search algorithms that use a policy to guide search.,1786
+problems. this for particularly best-first `needle-in-a-haystack' that suited show We well is algorithm,We show that this best-first algorithm is particularly well suited for `needle-in-a-haystack' problems.,1787
+range for the recovery that We ranks. show of holds a wide multilinear correct,We show that the correct recovery holds for a wide range of multilinear ranks.,1788
+"When and set-point its HIV viral epidemics, load is heritability. incorporate important modelling to it","When modelling HIV epidemics, it is important to incorporate set-point viral load and its heritability.",1789
+trained Recently been it has clean also methods without such that targets. can shown be,Recently it has been shown that such methods can also be trained without clean targets.,1790
+"does clean images. It nor target noisy require image pairs, not","It does not require noisy image pairs, nor clean target images.",1791
+"captured a lack result, such As under images conditions contrast.","As a result, images captured under such conditions lack contrast.",1792
+performs existing well that Evaluations our state-of-the-art show methods. compared model the to,Evaluations show that our model performs well compared to the existing state-of-the-art methods.,1793
+model It various diverse in of situations verifies conditions. also and our the lighting potential,It also verifies the potential of our model in diverse situations and various lighting conditions.,1794
+connections Modern certain networks alleviate implement shortcut generally form deep difficulties. optimization to of a,Modern deep networks generally implement a certain form of shortcut connections to alleviate optimization difficulties.,1795
+"network topology that of such we alters the deep However, nature observe networks.","However, we observe that such network topology alters the nature of deep networks.",1796
+"to many aggregated In wide these networks. similarly networks ways, behave","In many ways, these networks behave similarly to aggregated wide networks.",1797
+works time. practice This in most well,This practice works well in most time.,1798
+phenomena the problem. this as sparse We early gradients term,We term this phenomena as the early sparse gradients problem.,1799
+"magnitude this In and can the gradients. of avoid increase explosion we way, distance","In this way, we can avoid distance explosion and increase the magnitude of gradients.",1800
+Omniglot conducted Extensive datasets. experiments and are on miniImageNet,Extensive experiments are conducted on Omniglot and miniImageNet datasets.,1801
+recurrent type layer most Term is of used Long-Short Memory The the (LSTM).,The most used type of recurrent layer is the Long-Short Term Memory (LSTM).,1802
+and tone adjustments. color themes with unique Color enhance and stylization tone to artistic strives,Color and tone stylization strives to enhance unique themes with artistic color and tone adjustments.,1803
+"hand, On adjustments various to stylistic needs enhancement the regions. semantic other distinct to apply","On the other hand, stylistic enhancement needs to apply distinct adjustments to various semantic regions.",1804
+broader a enables an ability of range styles. visual Such,Such an ability enables a broader range of visual styles.,1805
+our Image accomplished can efficiently deep be a with through pass network. single stylization forward,Image stylization can be efficiently accomplished with a single forward pass through our deep network.,1806
+effectiveness datasets our demonstrate learning architecture. for image of the deep existing Experiments stylization on,Experiments on existing datasets for image stylization demonstrate the effectiveness of our deep learning architecture.,1807
+"along spatial dimension well. Similarly, GSoP scaling perform for we tensor can as","Similarly, we can perform GSoP along spatial dimension for tensor scaling as well.",1808
+to we this on use adapt In estimation work architecture pose edge multi-person it devices.,In this work we adapt multi-person pose estimation architecture to use it on edge devices.,1809
+and a are model available part of The OpenVINO$^{TM}$ as Intel$\unicode{xAE}$ code Toolkit.,The code and model are available as a part of Intel$\unicode{xAE}$ OpenVINO$^{TM}$ Toolkit.,1810
+work This first segmentation of with data. a this introduces for semantic kind baseline,This work introduces a first baseline for semantic segmentation with this kind of data.,1811
+this discussed. of are possible causes phenomenon The,The possible causes of this phenomenon are discussed.,1812
+"are regions Quite an often, interesting most these image. of the parts","Quite often, these regions are the most interesting parts of an image.",1813
+captured this Almost every today is of way. interest event,Almost every event of interest today is captured this way.,1814
+the propose to a comprehensive problem. solution We,We propose a comprehensive solution to the problem.,1815
+"based combines appearance are solution and proximity. cues geometry, that Our on","Our solution combines cues that are based on geometry, appearance and proximity.",1816
+"and to set new, challenging, collected algorithm. evaluate We a data our","We collected a new, and challenging, data set to evaluate our algorithm.",1817
+al. Beutner et This in results contrasts,This contrasts results in Beutner et al.,1818
+consistently layer it. Our without the improves the spatial performance attention model over,Our spatial attention layer consistently improves the performance over the model without it.,1819
+methods real in these applied effect is on of world unknown. images The the static,The effect of these methods applied on static images in the real world is unknown.,1820
+"comparative have also effectiveness extensive experiments demonstrated components. of fully Besides, different the","Besides, extensive comparative experiments have also fully demonstrated the effectiveness of different components.",1821
+"problem two break system with devices, down. different Consider a which can reliability the in","Consider the reliability problem in a system with two different devices, which can break down.",1822
+estimation. on keypoint We human a based system sign language translation propose,We propose a sign language translation system based on human keypoint estimation.,1823
+"study recognition how networks to subject important are it face to is attacks. So,","So, it is important to study how face recognition networks are subject to attacks.",1824
+samples is spectral estimation utilizing from (LSE) Line methods. studied variational multi snapshot Bayesian the,Line spectral estimation (LSE) from multi snapshot samples is studied utilizing the variational Bayesian methods.,1825
+"of state-of-the-art competitive numerical demonstrate to compared methods. results the the performance Finally, MVALSE","Finally, numerical results demonstrate the competitive performance of the MVALSE compared to state-of-the-art methods.",1826
+"salient, becomes As less difficult. more a objects identifying relatively target itself referred becomes","As a target becomes relatively less salient, identifying referred objects itself becomes more difficult.",1827
+our effectiveness Experimental show results the of approach.,Experimental results show the effectiveness of our approach.,1828
+writing typical skills. and Developmental the to inability acquire reading dyslexia is characterized by,Developmental dyslexia is characterized by the inability to acquire typical reading and writing skills.,1829
+were that derived hypotheses previous findings. tested these We from two directly here,We here tested two hypotheses that were directly derived from these previous findings.,1830
+"RANln scores. with hypothesized we left Second, the dyslexics connectivity mPT-MGB correlates amount that of","Second, we hypothesized that the amount of left mPT-MGB connectivity correlates with dyslexics RANln scores.",1831
+"the without to data, and of parameter tuned. number be any","the number of data, and without any parameter to be tuned.",1832
+only detection presents paper supervision. change novel This weak semantic with scene scheme a,This paper presents a novel semantic scene change detection scheme with only weak supervision.,1833
+"this specific for becomes and usually dataset labor-intensive indispensable. task, a which is time-consuming, However,","However, a specific dataset for this task, which is usually labor-intensive and time-consuming, becomes indispensable.",1834
+collections is trained Our truth. ground using image network without large uncontrolled,Our network is trained using large uncontrolled image collections without ground truth.,1835
+"By can incorporating our renderer, network a self-supervision. differentiable from learn","By incorporating a differentiable renderer, our network can learn from self-supervision.",1836
+supervision depth provides map normal estimation. MVS direct for coarse also,MVS depth also provides direct coarse supervision for normal map estimation.,1837
+attempt first use rendering. is to We MVS supervision for learning believe this inverse the,We believe this is the first attempt to use MVS supervision for learning inverse rendering.,1838
+"is images, floor like the plans. area in there document no such However, attempt of","However, there is no such attempt in the area of document images, like floor plans.",1839
+"earlier. from plan sketches, synthesis were proposed well Floor data-driven as as models,","Floor plan synthesis from sketches, as well as data-driven models, were proposed earlier.",1840
+description building images floor to first plan from attempt automatically. textual the is render Ours,Ours is the first attempt to render building floor plan images from textual description automatically.,1841
+publicly We available on benchmark plan floor experimented have datasets.,We have experimented on publicly available benchmark floor plan datasets.,1842
+are capacity for Current range. systems currently optimized radio and,Current radio systems are currently optimized for capacity and range.,1843
+"reliable applications certain of require fast communication wireless systems over and However, distances. short","However, certain applications of wireless systems require fast and reliable communication over short distances.",1844
+There performance using limitations are of RELU. just,There are performance limitations of just using RELU.,1845
+convolutional all RELU for used is layers.,RELU is used for all convolutional layers.,1846
+each of views. architecture of two two network Our branches encoder-decoder the analyzing for consists,Our network architecture consists of two encoder-decoder branches for analyzing each of the two views.,1847
+significantly approaches based a dataset. projection outperform synthetic large-scale We existing the on,We significantly outperform the existing projection based approaches on a large-scale synthetic dataset.,1848
+"To we novel multi-path adaptive propose (MAMNet). modulation a address issue, this network","To address this issue, we propose a novel multi-path adaptive modulation network (MAMNet).",1849
+communicating to mainly effective harder time-dependent of This devices. owing the qualities link is the,This is harder mainly owing to the time-dependent effective link qualities of the communicating devices.,1850
+wireless of the components improve systems and . to,of wireless systems and to improve the components .,1851
+probabilistic introduced feature background learns distributions. The a module and target appearance generative model of,The introduced appearance module learns a probabilistic generative model of target and background feature distributions.,1852
+the segmentation Comprehensive effectiveness approach demonstrate experiments object video three proposed of on the benchmarks.,Comprehensive experiments demonstrate the effectiveness of the proposed approach on three video object segmentation benchmarks.,1853
+"method large-scale YouTube-VOS Furthermore, on our dataset. the approaches outperforms published all","Furthermore, our method outperforms all published approaches on the large-scale YouTube-VOS dataset.",1854
+"by biological which recover tissues paper, the this investigate mechanisms we after injury. In","In this paper, we investigate the mechanisms by which biological tissues recover after injury.",1855
+mobile for device chip enables and models within one IoT applications. It multiple single,It enables multiple models within one single chip for mobile and IoT device applications.,1856
+transferability We action recognition to systems. black-box of demonstrate the also attacks our,We also demonstrate the transferability of our attacks to black-box action recognition systems.,1857
+efficient the of (PMBM) multi-Bernoulli an trajectory implementation filter. paper mixture Poisson proposes This,This paper proposes an efficient implementation of the Poisson multi-Bernoulli mixture (PMBM) trajectory filter.,1858
+"require computerized procedures extensive However, the planning.","However, the procedures require extensive computerized planning.",1859
+normal training network unpaired images real The using is samples maps. trained rendered of and,The network is trained using unpaired training samples of real images and rendered normal maps.,1860
+sketch drawing in Recognizing free-hand applications. real-world extremely useful many the is,Recognizing the free-hand sketch drawing is extremely useful in many real-world applications.,1861
+"in instance-level previous limitations key However, several works. are SBIR there","However, there are several key limitations in previous instance-level SBIR works.",1862
+"limitations break in our proposed previous existed can DeepTCNet Critically, works. the","Critically, our proposed DeepTCNet can break the limitations existed in previous works.",1863
+proposed five benchmark model. the sketch on of The extensive the experiments datasets effectiveness validate,The extensive experiments on five benchmark sketch datasets validate the effectiveness of the proposed model.,1864
+show benchmark competitive our perform models datasets. that results on We can,We show that our models can perform competitive results on benchmark datasets.,1865
+source We models available. publicly of make our code the,We make the source code of our models publicly available.,1866
+pose-guided new a human of to deep approach We resynthesis photographs. present learning,We present a new deep learning approach to pose-guided resynthesis of human photographs.,1867
+with is the estimated field fully-convolutional skip deformable connections guided used. correspondence A architecture by,A fully-convolutional architecture with deformable skip connections guided by the estimated correspondence field is used.,1868
+We show state-of-the-art result for image pose-guided synthesis.,We show state-of-the-art result for pose-guided image synthesis.,1869
+"the transfer pose-guided system and face for resynthesis. we performance our of garment demonstrate Additionally,","Additionally, we demonstrate the performance of our system for garment transfer and pose-guided face resynthesis.",1870
+estimator minimax under is the a It optimal Nikodym metric.,It is a minimax optimal estimator under the Nikodym metric.,1871
+provide We efficient $\widehat{\mathcal{C}}$. algorithm on compute then an projection to,We then provide an efficient algorithm to compute projection on $\widehat{\mathcal{C}}$.,1872
+good empirical simulations. We a behavior method observe the of in,We observe a good empirical behavior of the method in simulations.,1873
+"Further, provide the by Chebyshev we the analysis variation of characterization approximation.","Further, we provide analysis of the variation characterization by the Chebyshev approximation.",1874
+performance. then We two recognition complementary for improving propose early approaches,We then propose two complementary approaches for improving early recognition performance.,1875
+"images medical {\em phases real-world complementary acquired In different possess e.g. information, practice, in","In real-world practice, medical images acquired in different phases possess complementary information, {\em e.g.",1876
+two-phase This studies in paper scans. CT segmentation organ,This paper studies organ segmentation in two-phase CT scans.,1877
+can PCN jointly. relations phase-to-phase and formulate mathematically be to explained data-to-label,PCN can be mathematically explained to formulate phase-to-phase and data-to-label relations jointly.,1878
+"public PCN transfers to datasets, applications. potential single-phase its two well demonstrating Besides,","Besides, PCN transfers well to two public single-phase datasets, demonstrating its potential applications.",1879
+"a We i.e. burst as pipeline on photography focus the both whole,","We focus both on the burst photography pipeline as a whole, i.e.",1880
+"as as and task. well Gaussian demosaicking traditional denoising, on denoising burst the","burst demosaicking and denoising, as well as on the traditional Gaussian denoising task.",1881
+"vector programs methods in this paper, we In spaces. of introduce propositional encoding logic","In this paper, we introduce methods of encoding propositional logic programs in vector spaces.",1882
+are vectors by by Interpretations and matrices. programs are represented represented,Interpretations are represented by vectors and programs are represented by matrices.,1883
+"challenging address this task, propose new Siamese R-CNN. To Mask we","To address this challenging new task, we propose Siamese Mask R-CNN.",1884
+Our an proposed end-to-end be can trained MGG fashion. in,Our proposed MGG can be trained in an end-to-end fashion.,1885
+remarkable both attention industry has driving Autonomous attracted and from academia.,Autonomous driving has attracted remarkable attention from both industry and academia.,1886
+fitting improves We using keypoints that significantly performance. show,We show that using keypoints significantly improves fitting performance.,1887
+further suggest we By human performance comparing future improvements. with for several directions,By comparing with human performance we suggest several future directions for further improvements.,1888
+"simple, intuitive, very contains parameters. and is Our algorithm very few","Our algorithm is very simple, intuitive, and contains very few parameters.",1889
+of evaluate car dataset. approach our the VehicleSemanticPart in the subclass We,We evaluate our approach in the car subclass of the VehicleSemanticPart dataset.,1890
+of multiple-choice with VQA and proposed VQA models deal are Two to respectively. types open-ended,Two types of models are proposed to deal with open-ended VQA and multiple-choice VQA respectively.,1891
+three benchmarks. VQA We evaluate models on our,We evaluate our models on three VQA benchmarks.,1892
+method. demonstrates the effectiveness state-of-the-art proposed the comparable with performance the of The,The comparable performance with the state-of-the-art demonstrates the effectiveness of the proposed method.,1893
+one in hand language. sign The methods used of typical the are gestures,The hand gestures are one of the typical methods used in sign language.,1894
+with world. communicate the It to the for people very hearing-impaired is difficult,It is very difficult for the hearing-impaired people to communicate with the world.,1895
+"will soundtrack the recorded the on Based be gestures, recognized played.","Based on the recognized gestures, the recorded soundtrack will be played.",1896
+collection GECV is crowds containing dataset people. of videos of a,GECV dataset is a collection of videos containing crowds of people.,1897
+"means, nonlocal plain Filtering patch-wise data. exclusively SAR by operating on performed is","Filtering is performed by plain patch-wise nonlocal means, operating exclusively on SAR data.",1898
+reconstructions complexes Electron high-resolution nearnative allows state. tomography (ET) at of macromolecular,Electron tomography (ET) allows high-resolution reconstructions of macromolecular complexes at nearnative state.,1899
+state-of-the-art grid is approach frameworks. The to different guided easy detection be to localization extended,The grid guided localization approach is easy to be extended to different state-of-the-art detection frameworks.,1900
+"and Furthermore, patients. these changes of network impairment significantly the cognitive predicted memory","Furthermore, these network changes significantly predicted the cognitive and memory impairment of patients.",1901
+structures evaluation Background Combined objective: lumbosacral (e.g. and of,Background and objective: Combined evaluation of lumbosacral structures (e.g.,1902
+bone) on CT non-contrast & with learning. deep nerves,nerves & bone) on non-contrast CT with deep learning.,1903
+of nerve results testing successful the lumbosacral and on reveals segmentation bone CT. Results:,Results: the testing results reveals successful segmentation of lumbosacral bone and nerve on CT.,1904
+"way, related In naturally passed information ones. objects smaller larger to can this from","In this way, information can naturally passed from larger objects to smaller related ones.",1905
+"been IoT codes Recently, non-orthogonal massive have for advocated access.","Recently, non-orthogonal codes have been advocated for IoT massive access.",1906
+Our this addressing challenge towards contributions as follows. are,Our contributions towards addressing this challenge are as follows.,1907
+"that recurrent the noise Here, networks. information can demonstrate improve in flux also neural we","Here, we demonstrate that noise can also improve the information flux in recurrent neural networks.",1908
+"segmentation object and is in visual problems, detection. Contextual vital such semantic understanding information as","Contextual information is vital in visual understanding problems, such as semantic segmentation and object detection.",1909
+"operation, dependencies. the further pixel capture recurrent By finally taking can a each full-image","By taking a further recurrent operation, each pixel can finally capture the full-image dependencies.",1910
+plays from in a anti-spoofing role systems attacks. protecting recognition various face crucial Face,Face anti-spoofing plays a crucial role in protecting face recognition systems from various attacks.,1911
+pedestrian from by to views re-identification Person detectors. detected pedestrian no-overlap is camera retrieval images,Person re-identification is to retrieval pedestrian images from no-overlap camera views detected by pedestrian detectors.,1912
+in issue real usability significantly scalability and of limits models world. the the the This,This issue significantly limits the scalability and usability of the models in the real world.,1913
+"task. re-identification we IBN-reID Furthermore, model for person the propose","Furthermore, we propose IBN-reID model for the person re-identification task.",1914
+supervised IBN-reID model methods. translated The on by trained is the images,The IBN-reID model is trained on the translated images by supervised methods.,1915
+achieved our by Very re-ID accuracy method. competitive is,Very competitive re-ID accuracy is achieved by our method.,1916
+"methods a not of the range. most present do times good Also, capture these","Also, these methods most of the times do not present a good capture range.",1917
+"of Neural propose deal with Convolutional this we the problem, To use Network.","To deal with this problem, we propose the use of Convolutional Neural Network.",1918
+registration promising be The methods. compared traditional results to to image showed,The results showed to be promising compared to traditional image registration methods.,1919
+representations target the in the An in source have domain. domain image might multiple,An image in the source domain might have multiple representations in the target domain.,1920
+map space. both a on rely approaches mostly into simplifying shared-latent Current to assumptions domains,Current approaches mostly rely on simplifying assumptions to map both domains into a shared-latent space.,1921
+"able the domain-invariant information model to between they two modalities. only Consequently, are the","Consequently, they are only able to model the domain-invariant information between the two modalities.",1922
+individually. existing CNNs on samples the powerful methods transform Most rely to,Most existing methods rely on powerful CNNs to transform the samples individually.,1923
+"in relations propose to consider transformation. we sample In contrast, the the","In contrast, we propose to consider the sample relations in the transformation.",1924
+"achieve goal, spectral this we into To clustering CNN. technique incorporate","To achieve this goal, we incorporate spectral clustering technique into CNN.",1925
+Bayesian by a also This be employing can derived result formulation.,This result can also be derived by employing a Bayesian formulation.,1926
+"to that for paired edits attempted semantic required i.e. data, use Previous warping approaches","Previous approaches that attempted to use warping for semantic edits required paired data, i.e.",1927
+of example subject semantic same different with images the attributes.,example images of the same subject with different semantic attributes.,1928
+also preserving at better the subject's that show our edits identity. are substantially We,We also show that our edits are substantially better at preserving the subject's identity.,1929
+to (DNNs) networks adversarial Deep be demonstrated been have to neural vulnerable examples.,Deep neural networks (DNNs) have been demonstrated to be vulnerable to adversarial examples.,1930
+"the images to deep trained fool clean can well networks. imperceptible Specifically, perturbations adding neural","Specifically, adding imperceptible perturbations to clean images can fool the well trained deep neural networks.",1931
+"model paper, \textbf{ComDefend}. end-to-end to adversarial propose examples: compression image we an In this defend","In this paper, we propose an end-to-end image compression model to defend adversarial examples: \textbf{ComDefend}.",1932
+the reconstruct used with image is the quality. to original And ResCNN high,And the ResCNN is used to reconstruct the original image with high quality.,1933
+"a named In this novel scene paper, we detection propose text TextMountain. method","In this paper, we propose a novel scene text detection method named TextMountain.",1934
+border-center of TextMountain use full of The making idea information. key is,The key idea of TextMountain is making full use of border-center information.,1935
+We for Indian Images. proposed the network Landmark ensemble classification an of purpose of,We proposed an ensemble network for the purpose of classification of Indian Landmark Images.,1936
+adaptive networks. final learning architecture all the The is of mentioned an,The final architecture is an adaptive learning of all the mentioned networks.,1937
+category eliminate produces false a score The reliable to cases. proposed network,The proposed network produces a reliable score to eliminate false category cases.,1938
+images. computer method are vision nets leading neural (CNN) classifying Convolutional the for,Convolutional neural nets (CNN) are the leading computer vision method for classifying images.,1939
+map the with image is combined net. This then classification,This map is then combined with the image classification net.,1940
+approach the dataset was and OpenSurfaces evaluated materials COCO dataset. using the This object,This approach was evaluated using the COCO object dataset and the OpenSurfaces materials dataset.,1941
+"results completely gave methods to In that background cases, both ignore the it superior region.","In both cases, it gave superior results to methods that completely ignore the background region.",1942
+when for is for driving segmentation This example. autonomous semantic information using critical,This information is critical when using semantic segmentation for autonomous driving for example.,1943
+have Standard semantic well-established segmentation metrics. evaluation systems,Standard semantic segmentation systems have well-established evaluation metrics.,1944
+"model swapping. paper generative face image-based for This presents deep FSNet, a","This paper presents FSNet, a deep generative model for image-based face swapping.",1945
+a signs time system images these is a detect Developing real to from challenge. great,Developing a real time system to detect these signs from images is a great challenge.,1946
+"for Lung we segmentation Radiographs. Chest In paper, model a propose this in robust","In this paper, we propose a robust model for Lung segmentation in Chest Radiographs.",1947
+"reason. have there studies no determine the systematic underlying to However, been","However, there have been no systematic studies to determine the underlying reason.",1948
+a from breach. essential Face recognition to anti-spoofing security prevent systems face is,Face anti-spoofing is essential to prevent face recognition systems from a security breach.,1949
+"often precision However, methods weights represent existing with and same all (bit-width). activations the quantization","However, existing quantization methods often represent all weights and activations with the same precision (bit-width).",1950
+rotates and an The scans scene automated pan-tilt fashion. camera entire in RGB-D the,The pan-tilt RGB-D camera rotates and scans the entire scene in an automated fashion.,1951
+"In between and local two scenes. registration, matched features extracted are","In local registration, features are extracted and matched between two scenes.",1952
+"exceed distances to a correspondences, are rejected. trajectories threshold, rotation the False-positive whose","False-positive correspondences, whose distances to the rotation trajectories exceed a threshold, are rejected.",1953
+"and Oftentimes, different appear to textures. due shape occlusion from similar symmetries, repetitive viewpoints objects","Oftentimes, objects appear similar from different viewpoints due to shape symmetries, occlusion and repetitive textures.",1954
+explicitly we work uncertainty. with propose this to deal In this,In this work we propose to explicitly deal with this uncertainty.,1955
+significant non-differentiable is algorithms. some A of impediment the nature,A significant impediment is the non-differentiable nature of some algorithms.,1956
+We to propose use overcome difficulty. gradients (SG) to this synthetic,We propose to use synthetic gradients (SG) to overcome this difficulty.,1957
+universal networks. the approximation property neural uses function SG of,SG uses the universal function approximation property of neural networks.,1958
+more makes based processing a video This model still complex task.,This makes model based video processing a still more complex task.,1959
+in an web essential instructional aspects. understanding of video two videos is branch Understanding,Understanding web instructional videos is an essential branch of video understanding in two aspects.,1960
+"reasoning paper, (QA). study question-answering In this via on instructional we videos","In this paper, we study reasoning on instructional videos via question-answering (QA).",1961
+"an video applications. community emphasis it in Surprisingly, has the its despite rich been not","Surprisingly, it has not been an emphasis in the video community despite its rich applications.",1962
+image metric are Two content-based major learning retrieval applications and face of verification.,Two major applications of metric learning are content-based image retrieval and face verification.,1963
+"training. non-parametric the tasks, majority the of retrieval triplet-based current state-of-the-art (SOTA) approaches are For","For the retrieval tasks, the majority of current state-of-the-art (SOTA) approaches are triplet-based non-parametric training.",1964
+"For face approaches however, verification have recent SOTA parametric the adopted classification-based tasks, training.","For the face verification tasks, however, recent SOTA approaches have adopted classification-based parametric training.",1965
+first the We as the a to tackle problem image work continuous introduce retrieval operation.,We introduce the first work to tackle the image retrieval problem as a continuous operation.,1966
+investigated. has point relation However been rarely the views cloud and between,However the relation between point cloud and views has been rarely investigated.,1967
+our state-of-the-art compared can results performance Experimental indicate model achieve improvement models. the significant with,Experimental results indicate our model can achieve significant performance improvement compared with the state-of-the-art models.,1968
+of lossless for can The method network a used well. compression be as proposed neural,The proposed method can be used for lossless compression of a neural network as well.,1969
+"the results However, care. their requires of interpretation","However, the interpretation of their results requires care.",1970
+representational predictions comprehensive spaces. models make about Encoding,Encoding models make comprehensive predictions about representational spaces.,1971
+include linear-model decoding Encoding fitted models and components. typically,Encoding and decoding models typically include fitted linear-model components.,1972
+generalization in and of performance. terms their Encoding evaluated decoding are models,Encoding and decoding models are evaluated in terms of their generalization performance.,1973
+achieves the of depends level (e.g. a The on interpretation model generalization correct,The correct interpretation depends on the level of generalization a model achieves (e.g.,1974
+theoretical Many be for tested must drive progress. compared models analyses inferentially to and,Many models must be tested and inferentially compared for analyses to drive theoretical progress.,1975
+videos and drastically (egocentric) are nature. in (exocentric) different third person First-person,First-person (egocentric) and third person (exocentric) videos are drastically different in nature.,1976
+also relating two in aspects. two (egocentric explore the domains We and exocentric),We also explore relating the two domains (egocentric and exocentric) in two aspects.,1977
+"the problem the cross-view Second, retrieval address views. two we across","Second, we address the cross-view retrieval problem across the two views.",1978
+show retrieving be data. data real using synthetic beneficial could in that We,We show that using synthetic data could be beneficial in retrieving real data.,1979
+are dataset code publicly The available. and,The code and dataset are publicly available.,1980
+"However, practical resource-constrained in restricted environments. their often applications are","However, their practical applications are often restricted in resource-constrained environments.",1981
+"for appropriate an Moreover, current provide such benchmarks evaluation cases. cannot","Moreover, current benchmarks cannot provide an appropriate evaluation for such cases.",1982
+Source will dataset publicly available. and code be made,Source code and dataset will be made publicly available.,1983
+vision including to many tasks Adversarial demonstrated threaten object been detection. computer examples have,Adversarial examples have been demonstrated to threaten many computer vision tasks including object detection.,1984
+"this processing reduced. is way, the In time","In this way, the processing time is reduced.",1985
+"representation flux"" major This approaches. two previous context advantages ""image over has","This ""image context flux"" representation has two major advantages over previous approaches.",1986
+intelligence brought of forefront. rise artificial (AI) learning has The to deep the,The rise of deep learning has brought artificial intelligence (AI) to the forefront.,1987
+weak strong all than to AI AI. achievements belong These rather,These achievements all belong to weak AI rather than strong AI.,1988
+achieve to How science. AI yet strong intelligence known not of field the is in,How to achieve strong AI is not known yet in the field of intelligence science.,1989
+"Cognitive field calling (TCR). a paradigm, Theory especially Relativity this new for is Currently, of","Currently, this field is calling for a new paradigm, especially Theory of Cognitive Relativity (TCR).",1990
+derived two from principles facts life and are The experience. scientific,The two principles are derived from scientific facts and life experience.,1991
+"different animals'. artificial consciousness, from intelligence general particularly or and humans' artificial","artificial general intelligence or artificial consciousness, particularly different from humans' and animals'.",1992
+"and them. largely encoder, across decoder information improves can Which flow the","Which can largely improves the information flow encoder, decoder and across them.",1993
+for accuracy. better in overfitting MDU-Net reduce Which,Which reduce overfitting in MDU-Net for better accuracy.,1994
+rearrangements. are with diseases connected chromatin Many hereditary,Many hereditary diseases are connected with chromatin rearrangements.,1995
+"those paper, solid we In develop method to Gregory models. based parameterize this a","In this paper, we develop a Gregory solid based method to parameterize those models.",1996
+"trivariate First, the we to Gregory representation solid Gregory representation. patch extend the","First, we extend the Gregory patch representation to the trivariate Gregory solid representation.",1997
+"not properly utilize potential of do the their recursive the Nevertheless, designs operation.","Nevertheless, their designs do not properly utilize the potential of the recursive operation.",1998
+"methods. the outperforms that show we other state-of-the-art method our In addition,","In addition, we show that our method outperforms the other state-of-the-art methods.",1999
+computer tasks. is Semantic problem many key segmentation vision a for,Semantic segmentation is a key problem for many computer vision tasks.,2000
+We of the in verify two approach aspects. effectiveness our,We verify the effectiveness of our approach in two aspects.,2001
+"we positive for with this generating guaranteed Jacobian. method paper, TBSs propose In a","In this paper, we propose a method for generating TBSs with guaranteed positive Jacobian.",2002
+"is Finally, improved. TBSs smoothness between the adjacent","Finally, the smoothness between adjacent TBSs is improved.",2003
+misalignment common the leads between accuracy. to the and This object localization final classification confidence,This leads to the common misalignment between the final object classification confidence and localization accuracy.,2004
+"we problems. In to a paper, Transformer propose these RoI this address","In this paper, we propose a RoI Transformer to address these problems.",2005
+Transformer. have and also experiments of our flexibility the effectiveness validated Extensive RoI,Extensive experiments have also validated the flexibility and effectiveness of our RoI Transformer.,2006
+simultaneously continuously. and models strength arguments' update Continuous,Continuous models update arguments' strength simultaneously and continuously.,2007
+discrete several models solutions. contains and to compute implementations of algorithms continuous numerical and Attractor,Attractor contains implementations of several discrete and continuous models and numerical algorithms to compute solutions.,2008
+"covering of a dataset variety by three simultaneously is recorded wide scenarios. cameras, Our real-life","Our dataset is recorded simultaneously by three cameras, covering a wide variety of real-life scenarios.",2009
+"involve methods parameter However, current plausible considerable to generate tweaking behaviors.","However, current methods involve considerable parameter tweaking to generate plausible behaviors.",2010
+"algorithm optimization and constraints, collision velocity attraction, direction considers several including control. continuity, Our avoidance,","Our optimization algorithm considers several constraints, including velocity continuity, collision avoidance, attraction, and direction control.",2011
+signal a from speed way detector. slow CTGI indicates detect to a high non-reproducible,CTGI indicates a way to detect high speed non-reproducible signal from a slow detector.,2012
+"is conducted to achieve scene. areas of the parallelly CTGI this, To different","To achieve this, CTGI is conducted parallelly to different areas of the scene.",2013
+imaging. can have This method in strong ultrafast application a,This method can have a strong application in ultrafast imaging.,2014
+(VQA) content. questions `Known' answer systems intelligent Current about Question Answering Visual can visual,Current Visual Question Answering (VQA) systems can answer intelligent questions about `Known' visual content.,2015
+"for untrimmed streams. long, natural retrieval strives language video research in moment This","This research strives for natural language moment retrieval in long, untrimmed video streams.",2016
+misalignment. semantic and crucial two misalignment structural We identify challenges:,We identify two crucial challenges: semantic misalignment and structural misalignment.,2017
+"accurate of is and great classification Therefore, arterioles an venules of necessity.","Therefore, an accurate classification of arterioles and venules is of great necessity.",2018
+color the network inputs outputs. fundus takes as labels multi-class image original This as and,This network takes the original color fundus image as inputs and multi-class labels as outputs.,2019
+our structure of (Unet) backbone the adopt network the as model. encoding-decoding We proposed,We adopt the encoding-decoding structure (Unet) as the backbone network of our proposed model.,2020
+"and The filter recovery, maximum banks achieve orthogonality. decimation, perfect","The filter banks achieve maximum decimation, perfect recovery, and orthogonality.",2021
+uses domain. transform the frequency The graph proposed in sampling,The proposed transform uses sampling in the graph frequency domain.,2022
+reconstruction conditions examples. and design the perfect clarify show We,We clarify the perfect reconstruction conditions and show design examples.,2023
+"no input data InGAN image fully the unsupervised, other than itself. is requiring additional","InGAN is fully unsupervised, requiring no additional data other than the input image itself.",2024
+"down-stream tasks. original to space for the are After coordinate features relation-aware distributed back reasoning,","After reasoning, relation-aware features are distributed back to the original coordinate space for down-stream tasks.",2025
+"abundant. the data, much is hand, on more Unlabeled other","Unlabeled data, on the other hand, is much more abundant.",2026
+"such a as unlabeled could to data. co-training, learning powerful leverage provide tool techniques, Semi-supervised","Semi-supervised learning techniques, such as co-training, could provide a powerful tool to leverage unlabeled data.",2027
+"can advantage our of take training. during data approach unlabeled Thus,","Thus, our approach can take advantage of unlabeled data during training.",2028
+"are video Extensive large-scale two benchmarks, conducted experiments on and FCVID ActivityNet.","Extensive experiments are conducted on two large-scale video benchmarks, FCVID and ActivityNet.",2029
+hardly compatible problem search architectures for is are The the CNN self-similarities. that with,The problem is that CNN architectures are hardly compatible with the search for self-similarities.,2030
+CNN clean a presented which trained the to predict is This is to information image.,This information is presented to a CNN which is trained to predict the clean image.,2031
+image architecture apply proposed We and denoising. to the video,We apply the proposed architecture to image and video denoising.,2032
+recognition gesture radar. simple We introduce technique hand effective in a but automatic using,We introduce a simple but effective technique in automatic hand gesture recognition using radar.,2033
+classifies on micro-Doppler gestures envelopes of the their based signatures. The technique proposed hand,The proposed technique classifies hand gestures based on the envelopes of their micro-Doppler signatures.,2034
+"image color, spatial are commonly and used features The shape. texture visual layout,","The commonly used visual features are image spatial layout, color, texture and shape.",2035
+"pan-tilt this for mechanism control camera paper, systems. we In an arbitrarily-assembled propose accurate","In this paper, we propose an accurate control mechanism for arbitrarily-assembled pan-tilt camera systems.",2036
+"tasks. supervised in detection a training-mining used widely is weakly which framework, We object adopt","We adopt a training-mining framework, which is widely used in weakly supervised object detection tasks.",2037
+"we propose AIR. limitations, these To overcome","To overcome these limitations, we propose AIR.",2038
+StarCraft Strategy Time of most and popular one (SC) games. (RTS) Real is the successful,StarCraft (SC) is one of the most popular and successful Real Time Strategy (RTS) games.,2039
+"player. professional between the bot top-level human large a gap the and However, remains","However, a large gap remains between the top-level bot and the professional human player.",2040
+based is the on (LSTM). Our the of and the Ape-X framework combination Long-Short-Term-Memory DQN,Our framework is based on the combination of the Ape-X DQN and the Long-Short-Term-Memory (LSTM).,2041
+"bot, our to as build use this named We framework LastOrder.","We use this framework to build our bot, named as LastOrder.",2042
+decision form deterministic rules are the of The specified. explicitly,The form of the deterministic decision rules are explicitly specified.,2043
+Likelihood shown are ratios be sufficient statistics. to,Likelihood ratios are shown to be sufficient statistics.,2044
+numerical theory based testing. presented binary A prospect example is for hypothesis,A numerical example is presented for prospect theory based binary hypothesis testing.,2045
+"force to or exertion getting closer the should conditions moment reality, be modeled. For systems","For getting systems closer to reality, the force or moment exertion conditions should be modeled.",2046
+interpolation video propose algorithm. a frame light-weight We,We propose a light-weight video frame interpolation algorithm.,2047
+a nonstationary address (BSS) source We separation problem. blind,We address a nonstationary blind source separation (BSS) problem.,2048
+both The sources includes model and mixing. nonstationary,The model includes both nonstationary sources and mixing.,2049
+"and an estimation joint stationarity-breaking spectra. Therefore, algorithm BSS and introduce of we deformations for","Therefore, we introduce an algorithm for joint BSS and estimation of stationarity-breaking deformations and spectra.",2050
+"are performances Finally, synthetic on example. its evaluated a","Finally, its performances are evaluated on a synthetic example.",2051
+still cell mechanical unknown. wall exactly is behavior How cell largely properties influence,How exactly cell wall mechanical properties influence cell behavior is still largely unknown.,2052
+data publicly available is set to The the community.,The data set is publicly available to the community.,2053
+for with common paper message. multicasting precoding This considers a multi-group,This paper considers precoding for multi-group multicasting with a common message.,2054
+"multiple $L$ clusters, The with with communicates users. station antenna $K$ each base","The multiple antenna base station communicates with $K$ clusters, each with $L$ users.",2055
+"based optimization. a alternating by suggest problem, algorithm, suboptimal on Inspired the we WMMSE","Inspired by the WMMSE problem, we suggest a suboptimal algorithm, based on alternating optimization.",2056
+models years. problems learning have been used extensively recent solve in real-world to Deep,Deep learning models have been used extensively to solve real-world problems in recent years.,2057
+large The relies on of performance amounts data heavily such labeled of models for training.,The performance of such models relies heavily on large amounts of labeled data for training.,2058
+the segmentation. problem considering by address of video We object task this,We address this problem by considering the task of video object segmentation.,2059
+existing Very few have laid of on estimation. dehazing its accurate stress methods image the,Very few of the existing image dehazing methods have laid stress on its accurate estimation.,2060
+"and quantitative accurate enough. are Qualitative estimates the show, evaluations","Qualitative and quantitative evaluations show, the estimates are accurate enough.",2061
+from proposed for removing A method natural new text is images.,A new method is proposed for removing text from natural images.,2062
+"significantly our state-of-the-art metrics. Moreover, methods EnsNet outperform previous can of all in terms","Moreover, our EnsNet can significantly outperform previous state-of-the-art methods in terms of all metrics.",2063
+possibilities of results feature show encouraging the translation. Quantitative,Quantitative results show the encouraging possibilities of feature translation.,2064
+"features and among first time, reported. like For DELF the is the affinity widely-used SIFT","For the first time, the affinity among widely-used features like SIFT and DELF is reported.",2065
+features. estimation hand-designed and approach tracking fail would without feature traditional visible The,The traditional hand-designed feature tracking and estimation approach would fail without visible features.,2066
+"to several use are there features exploring context localization. Recently, works do to","Recently, there are several works exploring to use context features to do localization.",2067
+"However, all suffer context given loss these no accuracy severe if visual of information.","However, all of these suffer severe accuracy loss if given no visual context information.",2068
+address synthetic the learning domain issue effectively. from of randomized data We,We address the issue of learning from synthetic domain randomized data effectively.,2069
+This be to attributed the randomization rendering distribution. parameter uniform can over,This can be attributed to uniform randomization over the rendering parameter distribution.,2070
+"a projective characterization. structure-from-motion this Secondly, concrete that for utilizes algorithm propose we","Secondly, we propose a concrete algorithm for projective structure-from-motion that utilizes this characterization.",2071
+be to attempt No is comprehensive. made,No attempt is made to be comprehensive.,2072
+"al., these of see press). issues, some of For (Allen in further et discussion please","For further discussion of some of these issues, please see (Allen et al., in press).",2073
+system. step is reading an text of scene detection important text Scene,Scene text detection is an important step of scene text reading system.,2074
+"and main varied and sizes The lie aspect ratios, on arbitrary significantly shapes. orientations challenges","The main challenges lie on significantly varied sizes and aspect ratios, arbitrary orientations and shapes.",2075
+"TextField generalizing to datasets. robust unseen Furthermore, in is","Furthermore, TextField is robust in generalizing to unseen datasets.",2076
+"human-interpretable using most deep learning medical images. been developed applications reconstructed, However, have","However, most deep learning applications have been developed using reconstructed, human-interpretable medical images.",2077
+also search random values algorithms. in We the the of investigate starting effects,We also investigate the effects of random starting values in the search algorithms.,2078
+a of generating and for key models structured robotics. capable challenge Building is AI output,Building models capable of generating structured output is a key challenge for AI and robotics.,2079
+cloud significant improvements methods. demonstrate We state-of-the-art against point generation,We demonstrate significant improvements against state-of-the-art point cloud generation methods.,2080
+to PAs. the of enhance These will circuits overall suppression help the efficiency,These suppression circuits will help to enhance the overall efficiency of the PAs.,2081
+in technology time. been a has remote hotspot a sensing detection Change for long,Change detection has been a hotspot in remote sensing technology for a long time.,2082
+"are However, effective of changes usually images multi-temporal enough. methods are not complex, existing","However, changes of multi-temporal images are usually complex, existing methods are not effective enough.",2083
+samples. The training unchanged high pixels pre-detection employed with to as confidence CVA find is,The CVA pre-detection is employed to find unchanged pixels with high confidence as training samples.,2084
+public hyperspectral are The and two datasets a real-world on dataset. experiments performed,The experiments are performed on two real-world datasets and a public hyperspectral dataset.,2085
+"estimating and one jointly. problem pose of Consequently, the becomes correspondences","Consequently, the problem becomes one of estimating pose and correspondences jointly.",2086
+"a anchor we paper, for general object optimize to propose approach In detection. boxes this","In this paper, we propose a general approach to optimize anchor boxes for object detection.",2087
+"anchor are adopted in Nowadays, boxes widely frameworks. state-of-the-art detection","Nowadays, anchor boxes are widely adopted in state-of-the-art detection frameworks.",2088
+the success thus cervical improve screening. nuclei segmentation cancer of accurate An could rate,An accurate nuclei segmentation could thus improve the success rate of cervical cancer screening.,2089
+paper of with This visual addresses generation examples. the explanations,This paper addresses the generation of explanations with visual examples.,2090
+several of proposed the datasets experiments The of conducted on demonstrate method. the effectiveness results,The results of experiments conducted on several datasets demonstrate the effectiveness of the proposed method.,2091
+"limited However, field. also computation has efficiency low has and it receptive","However, it has low computation efficiency and also has limited receptive field.",2092
+Preliminary of model. showed results this effectiveness,Preliminary results showed effectiveness of this model.,2093
+we present GAMP to Here signal for non-i.d.d. sparse estimate priors,Here we present sparse signal priors for GAMP to estimate non-i.d.d.,2094
+that CSF-cNs slow We preparation. locomotion rest fictive at induced in activating confirmed the delayed,We confirmed that activating CSF-cNs at rest induced delayed slow locomotion in the fictive preparation.,2095
+"of contrast, activation locomotion. promptly the In slow CSF-cNs ongoing inhibited","In contrast, the activation of CSF-cNs promptly inhibited ongoing slow locomotion.",2096
+are the generative known nets to well (GANs) train. difficult remarkably It is that adversarial,It is well known that the generative adversarial nets (GANs) are remarkably difficult to train.,2097
+principled towards Wasserstein GAN (WGAN) issues. creates addressing these directions recently The proposed research,The recently proposed Wasserstein GAN (WGAN) creates principled research directions towards addressing these issues.,2098
+gradient training we practice in But instability. (GP-WGANs) penalty suffer WGANs found that from still,But we found in practice that gradient penalty WGANs (GP-WGANs) still suffer from training instability.,2099
+control the quality. to diversity and trade-off present also between image method visual We a,We also present a method to control the trade-off between image diversity and visual quality.,2100
+any burden. computation does bring It not,It does not bring any computation burden.,2101
+process. neural an is formation cells emerging essentially between connections from unsupervised learning The of,The formation of connections between neural cells is emerging essentially from an unsupervised learning process.,2102
+this along thalamo-cortical biological representation the model We of formation propose pathway. the a of,We propose a biological model of the formation of this representation along the thalamo-cortical pathway.,2103
+domain-invariant adaptation the embedddings. distribution learning can reduce domain methods by Deep discrepancy,Deep domain adaptation methods can reduce the distribution discrepancy by learning domain-invariant embedddings.,2104
+degrade the on directly classifier semantic performance dataset. can misalignment target the This,This semantic misalignment can directly degrade the classifier performance on the target dataset.,2105
+"the assign target of absence images. target labels for pseudo labels, we In","In the absence of target labels, we assign pseudo labels for target images.",2106
+of well two the conducted on the experiments effectiveness demonstrate datasets SCA. Extensive,Extensive experiments conducted on the two datasets well demonstrate the effectiveness of SCA.,2107
+which creates pivot as is each a initialized around sphere. This shell perfect an elastic,This creates an elastic shell around each pivot which is initialized as a perfect sphere.,2108
+promising accuracy achieves abdominal organ segmentation. in EBP,EBP achieves promising accuracy in abdominal organ segmentation.,2109
+their appearances. human affects actions to particularly of great due videos variety and This,This particularly affects human videos due to their great variety of actions and appearances.,2110
+"neural we improving study problem the networks. computational of this paper, resource utilization of In","In this paper, we study the problem of improving computational resource utilization of neural networks.",2111
+"of observation This topics, a research motivates e.g. lot","This observation motivates a lot of research topics, e.g.",2112
+higher computational with As models (e.g. costs,As models with higher computational costs (e.g.,2113
+"To named propose method optimization a we this end, Rejuvenation. Neural novel","To this end, we propose a novel optimization method named Neural Rejuvenation.",2114
+Channel been algorithms user to account to due proposed tracking channel for have mobility. variations,Channel tracking algorithms have been proposed to account for channel variations due to user mobility.,2115
+synthesis. Networks face Generative realistic The Adversarial enables advance image of (GANs),The advance of Generative Adversarial Networks (GANs) enables realistic face image synthesis.,2116
+of Utility implement nonparametric Models. tests to an They this application Random for test,They implement this test for an application to nonparametric tests of Random Utility Models.,2117
+"paper, is challenging. their As computationally they models in such testing note","As they note in their paper, testing such models is computationally challenging.",2118
+us These allow improved algorithms to tackle datasets. larger,These improved algorithms allow us to tackle larger datasets.,2119
+"assumed our to inductive. is myelin model, In be","In our model, myelin is assumed to be inductive.",2120
+electrode-tissue confirmed a distributed-parameter circuit. interaction the feasibility using proper findings of These studying,These findings confirmed the feasibility of studying electrode-tissue interaction using a proper distributed-parameter circuit.,2121
+Both of and quantitative results demonstrate method. qualitative our suitability generality the and the,Both the qualitative and quantitative results demonstrate the generality and suitability of our method.,2122
+work This in role computer the algorithms this field. of vision discusses,This work discusses the role of computer vision algorithms in this field.,2123
+apply iterative algorithm an We for optimization.,We apply an iterative algorithm for optimization.,2124
+data a delay receiving for introduced is Also and response. the the offloading,Also a delay is introduced for offloading the data and receiving the response.,2125
+that It in also demonstrated lasting therapeutic the is tDCS applications. effect shown,It is also shown that tDCS demonstrated the lasting effect in therapeutic applications.,2126
+propose motion We generative approach a to capture. physics-based,We propose a generative approach to physics-based motion capture.,2127
+trajectories is from predictions of were estimated which torque active. points contact Contact and,Contact is estimated from torque trajectories and predictions of which contact points were active.,2128
+statistical regressions. relationship successive numeric-computational The and simulations is obtained transfer performing by,The transfer relationship is obtained by performing successive numeric-computational simulations and statistical regressions.,2129
+"a approach, DPD single energy and savings. only this complexity yielding great With is required,","With this approach, only a single DPD is required, yielding great complexity and energy savings.",2130
+interval procedure bootstrap propose We a estimation. for also,We also propose a bootstrap procedure for interval estimation.,2131
+progressively cascaded an framework improve phases present designed We to with autoregressive detection precision. pedestrian,We present an autoregressive pedestrian detection framework with cascaded phases designed to progressively improve precision.,2132
+multimodal information. counterfactual study addresses with explanations generating This,This study addresses generating counterfactual explanations with multimodal information.,2133
+"proposed we method. Moreover, information-theoretical the provide insight into","Moreover, we provide information-theoretical insight into the proposed method.",2134
+types of distortion many are quality. There image which different affect,There are many different types of distortion which affect image quality.,2135
+"removing on them. methods single types for of studies focused Previous distortion, have proposing","Previous studies have focused on single types of distortion, proposing methods for removing them.",2136
+"image the in real to quality degrades world. due However, factors multiple","However, image quality degrades due to multiple factors in the real world.",2137
+"purpose, simple architecture of effective layer a For propose networks. yet neural this we","For this purpose, we propose a simple yet effective layer architecture of neural networks.",2138
+results of these the datasets. effectiveness show models Experimental real with,Experimental results show the effectiveness of these models with real datasets.,2139
+"scene radiance, parameters, contents). unknown camera unknown unknown scene","unknown camera parameters, unknown scene radiance, unknown scene contents).",2140
+"with tasks abundance Due of to cross-modal retrieval multiple modalities, from etc. image-text, data audio-image,","Due to abundance of data from multiple modalities, cross-modal retrieval tasks with image-text, audio-image, etc.",2141
+trained The sequentially the one parts other. are network after two the of,The two parts of the network are trained sequentially one after the other.,2142
+representation a a suitable This is CNN architecture. input to,This representation is a suitable input to a CNN architecture.,2143
+the provided. into Interesting are resource network's distribution insights,Interesting insights into the network's resource distribution are provided.,2144
+very software the is to time a Predicting for engineering software build complex managers. task,Predicting the time to build software is a very complex task for software engineering managers.,2145
+of can team. the the are with productivity There development that complex directly factors interfere,There are complex factors that can directly interfere with the productivity of the development team.,2146
+filling-in of task of regions inpainting the a damaged missing is incomplete or image. Image,Image inpainting is the task of filling-in missing regions of a damaged or incomplete image.,2147
+in contextual It takes itself. and powerful into image account content inherent the perceptual,It takes into account powerful contextual and perceptual content inherent in the image itself.,2148
+Numerical ones. compared the significantly the that outperform demonstrate models experiments proposed,Numerical experiments demonstrate that the proposed models significantly outperform the compared ones.,2149
+analyze also representation hierarchical We by visualizing maps learned in network. attention generated the our,We also analyze the learned hierarchical representation by visualizing attention maps generated in our network.,2150
+affected is transcranial excitability known be by stimulation. Neuronal electrical to,Neuronal excitability is known to be affected by transcranial electrical stimulation.,2151
+stimulation special a design waveform frequency of We enveloped (EHFS). stimulation high,We design a special stimulation waveform of enveloped high frequency stimulation (EHFS).,2152
+our the quantitatively detector dense performance over We DensePose. of improved demonstrate the pose available,We quantitatively demonstrate the improved performance of our dense pose detector over the available DensePose.,2153
+pose be and detector dataset made public. will dense Our,Our dense pose dataset and detector will be made public.,2154
+the unsupervised problem image-to-image We of geometric translation. address,We address the problem of unsupervised geometric image-to-image translation.,2155
+"Our fashion, trained i.e. an model is unsupervised in","Our model is trained in an unsupervised fashion, i.e.",2156
+training. the without during paired need of images,without the need of paired images during training.,2157
+Experiments self-collected conducted large-scale datasets and on are existing of cities. both several,Experiments are conducted on both existing and self-collected large-scale datasets of several cities.,2158
+We argue low-rank approximation to optimal separate is not that training. it from,We argue that it is not optimal to separate low-rank approximation from training.,2159
+"integrates rank Unlike the into training. paper previous this approximation regularization works, and low","Unlike previous works, this paper integrates low rank approximation and regularization into the training.",2160
+"which propose Rank and iterates low training. Pruning Trained (TRP), We rank approximation","We propose Trained Rank Pruning (TRP), which iterates low rank approximation and training.",2161
+low-rank of imposes TRP the maintains constraints network capacity training. during while original,TRP maintains the capacity of original network while imposes low-rank constraints during training.,2162
+framework has the a challenging proposed been learning few-shot address as setting. Meta-learning to,Meta-learning has been proposed as a framework to address the challenging few-shot learning setting.,2163
+fast shows also and accuracy. study contribute ablation to both that An components convergence high,An ablation study also shows that both components contribute to fast convergence and high accuracy.,2164
+data a single are unsupervised Conventional domain from adaptation (UDA) sampled training assumes domain. that,Conventional unsupervised domain adaptation (UDA) assumes that training data are sampled from a single domain.,2165
+problem. three this addressing make towards contributions We major,We make three major contributions towards addressing this problem.,2166
+visual to The performance. use enhance of our is driving goal work to attention autonomous,The goal of our work is to use visual attention to enhance autonomous driving performance.,2167
+attention of present methods visual We two predicting maps.,We present two methods of predicting visual attention maps.,2168
+analyzing images these and medical and is Capturing expensive. labor-intensive,Capturing and analyzing these medical images is labor-intensive and expensive.,2169
+is proteins typically to undergo a change. Achieving require this shown task conformational to,Achieving this task is shown to typically require proteins to undergo a conformational change.,2170
+scenario its implications. and A illustrates this evolutionary that model presented is physical,A physical model is presented that illustrates this evolutionary scenario and its implications.,2171
+experiments be in scenario protein predictions. can implemented directly test of evolution its to The,The scenario can be implemented in experiments of protein evolution to directly test its predictions.,2172
+"results, identification interpretation. recommend provide new We discuss estimate, parameters several and to their formal","We provide formal identification results, recommend several new parameters to estimate, and discuss their interpretation.",2173
+"out methods for we carrying Further, propose inference.","Further, we propose methods for carrying out inference.",2174
+ambient of for living and Detecting alone. unintended essential people intelligence elderly is healthcare falls,Detecting unintended falls is essential for ambient intelligence and healthcare of elderly people living alone.,2175
+cameras that the Event gather temporal sensors are of scene. biologically-inspired evolution the,Event cameras are biologically-inspired sensors that gather the temporal evolution of the scene.,2176
+stream variations brightness capture They of a pixel-wise events. output corresponding asynchronous and,They capture pixel-wise brightness variations and output a corresponding stream of asynchronous events.,2177
+"we present scenario discovery an In adaptive counting. framework crowd paper, this for","In this paper, we present an adaptive scenario discovery framework for crowd counting.",2178
+"can and from estimated be development data. general, satisfactorily literature starting In fecundity","In general, development and fecundity can satisfactorily be estimated starting from literature data.",2179
+assigning their clears It or issue responsibility the to machines of up creators.,It clears up the issue of assigning responsibility to machines or their creators.,2180
+"network. a stream In is DST-GCNN two particular,","In particular, DST-GCNN is a two stream network.",2181
+several layers to are such future stacked Then flows time. predict over together,Then several such layers are stacked together to predict future flows over time.,2182
+saliency non-discriminative. maps produced The are proven to be them by,The saliency maps produced by them are proven to be non-discriminative.,2183
+explanations LRP the analysis not by class-discriminative. conclude and The experiments generated that are,The experiments and analysis conclude that the explanations generated by LRP are not class-discriminative.,2184
+the an explanations We evaluate Game quantitatively Pointing also ablation a and with study.,We also evaluate the explanations quantitatively with a Pointing Game and an ablation study.,2185
+quantitative that Both explanations better the show generates the CLRP and qualitative than LRP. evaluations,Both qualitative and quantitative evaluations show that the CLRP generates better explanations than the LRP.,2186
+efficiently regional object requires among instances image cluttered representations. comprehensive Retrieving compact scenes yet,Retrieving object instances among cluttered scenes efficiently requires compact yet comprehensive regional image representations.,2187
+"focuses Intuitively, index regions. semantics can build object the on help that the most relevant","Intuitively, object semantics can help build the index that focuses on the most relevant regions.",2188
+"this provided. general ARCH on a paper, spatial and In models overview is spatiotemporal","In this paper, a general overview on spatial and spatiotemporal ARCH models is provided.",2189
+"ARCH-type we different particular, spatial between three In models. distinguish","In particular, we distinguish between three different spatial ARCH-type models.",2190
+definition addition al. et to original Otto of the In,In addition to the original definition of Otto et al.,2191
+"parameters are the For maximum-likelihood estimators this for proposed. model, new","For this new model, maximum-likelihood estimators for the parameters are proposed.",2192
+"of spatial we consider ARCH the addition, a definition new In process. complex-valued","In addition, we consider a new complex-valued definition of the spatial ARCH process.",2193
+"R-package of use the of practical demonstrated. is the From point view, spGARCH a","From a practical point of view, the use of the R-package spGARCH is demonstrated.",2194
+"Eventually, all apply to we a procedures example. real-data","Eventually, we apply all procedures to a real-data example.",2195
+less makes to training sensitive models circuit CNN The fine-tuned the uncertainty. the,The fine-tuned training makes the CNN models less sensitive to the circuit uncertainty.,2196
+apply faulty method CNN and design to an the accelerator. a both accelerator We overclocked,We apply the design method to both an overclocked CNN accelerator and a faulty accelerator.,2197
+"cognition methods insufficient fallacious and create understanding. because However, of textures learning-based often artifacts existing","However, existing learning-based methods often create artifacts and fallacious textures because of insufficient cognition understanding.",2198
+Human constant target the of is attribute. regardless cognition,Human cognition is constant regardless of the target attribute.,2199
+more comparisons previous ours completions. that obtain state-of-the-art much with natural methods image Quantitative show,Quantitative comparisons with previous state-of-the-art methods show that ours obtain much more natural image completions.,2200
+and editing an parsing numerous model scene insertion image applications. potentially facilitate Such can object,Such an object insertion model can potentially facilitate numerous image editing and scene parsing applications.,2201
+network and are modules via two a The together trained. connected transformation jointly spatial,The two modules are connected together via a spatial transformation network and jointly trained.,2202
+Medication one can which Events administration occur. Drug pathway Adverse is by (ADE),Medication administration is one pathway by which Adverse Drug Events (ADE) can occur.,2203
+in in-the-wild and images problem. an challenging is important Facial captured landmark localisation,Facial landmark localisation in images captured in-the-wild is an important and challenging problem.,2204
+"this propose In U-Nets we dense work, stacked task. this for innovatively","In this work, we innovatively propose stacked dense U-Nets for this task.",2205
+up. datasets are Such hard scale to thus,Such datasets are thus hard to scale up.,2206
+discriminators. synthetic context image refined The with is adversarial into and two object the blended,The synthetic object is refined and blended into the image context with two adversarial discriminators.,2207
+newly The on (t-SVD) singular directions. value light new proposed decomposition tensor sheds,The newly proposed tensor singular value decomposition (t-SVD) sheds light on new directions.,2208
+the direction the alternating of method under framework. derive further We multipliers algorithm,We further derive the algorithm under the alternating direction method of multipliers framework.,2209
+several addresses local ambiguity method challenges LSD and rigorously in class imbalance. Our as such,Our method rigorously addresses several challenges in LSD such as local ambiguity and class imbalance.,2210
+independent an and identically (i.i.d.) distributed Assuming,Assuming an independent and identically distributed (i.i.d.),2211
+dictionaries. Our applies or discrete continuous on procedure both,Our procedure applies on both discrete or continuous dictionaries.,2212
+"by by bidirectional models. decoded Then, are and task-specific visual TreeLSTM encoded contexts","Then, visual contexts are encoded by bidirectional TreeLSTM and decoded by task-specific models.",2213
+the results experimental methods. show method outperforms Extensive state-of-the-art several that proposed,Extensive experimental results show that the proposed method outperforms several state-of-the-art methods.,2214
+on and results real We qualitative videos. world present quantitative,We present quantitative and qualitative results on real world videos.,2215
+"assessment, would imaging reliable in-vivo For be and real-time immediate required.","For immediate assessment, reliable and real-time in-vivo imaging would be required.",2216
+"human So by the far, is done analysis experts.","So far, the analysis is done by human experts.",2217
+small learning very architectures. state-of-the-art We transfer with overcome sizes through dataset,We overcome very small dataset sizes through transfer learning with state-of-the-art architectures.,2218
+"based paper algorithm inference efficient This object describes for deep-learning AutoFocus, detectors. an multi-scale","This paper describes AutoFocus, an efficient multi-scale inference algorithm for deep-learning based object detectors.",2219
+"The processing detector only applied computation FocusChips, inside which reduces is scales. finer while","The detector is only applied inside FocusChips, which reduces computation while processing finer scales.",2220
+"Blocksworld report, In this for Photo-realistic an we generator artificial dataset introduce domain.","In this report, we introduce an artificial dataset generator for Photo-realistic Blocksworld domain.",2221
+"when applied natural problem adaptation domain images. this to However, in results","However, this results in domain adaptation problem when applied to natural images.",2222
+"training. propose over to framework paper, this In challenges a using we these improve adversarial","In this paper, we propose a framework to improve over these challenges using adversarial training.",2223
+the of architecture. simpler achieve art We results with competitive a the much state with,We achieve results competitive with the state of the art with a much simpler architecture.,2224
+obtain rotation to down pedestrian We viewpoint problem the focused narrow conclusions. the angle to,We narrow the viewpoint problem down to the pedestrian rotation angle to obtain focused conclusions.,2225
+"regard, the community. In this to makes this contributions two paper","In this regard, this paper makes two contributions to the community.",2226
+"introduce large-scale synthetic we a data First, engine, PersonX.","First, we introduce a large-scale synthetic data engine, PersonX.",2227
+in deeper Extensive experiment a the helps problems have fundamental re-ID. understanding of us person,Extensive experiment helps us have a deeper understanding of the fundamental problems in person re-ID.,2228
+to inverse approach problem. The is radar applied imaging proposed aperture synthetic the (ISAR),The proposed approach is applied to the inverse synthetic aperture radar (ISAR) imaging problem.,2229
+"COCO on segmentation interactive to we compare panoptic single dataset. the object Finally,","Finally, we compare to interactive single object segmentation on the COCO panoptic dataset.",2230
+"inference inductive contextual in to use the bias and collocations we humans Intuitively, discourse. compose","Intuitively, we humans use the inductive bias to compose collocations and contextual inference in discourse.",2231
+involving have spectrum images. Many and biometrics infra-red both (VIS) visible (IR) researchers explored periocular,Many researchers have explored periocular biometrics involving both visible (VIS) and infra-red (IR) spectrum images.,2232
+method space. neutrosophic choroidal of segmentation an paper presents This automatic images from in EDI-OCT,This paper presents an automatic method of choroidal segmentation from EDI-OCT images in neutrosophic space.,2233
+"same (CNNs) convolutional the process networks filters. of with different Conventionally, neural set images","Conventionally, convolutional neural networks (CNNs) process different images with the same set of filters.",2234
+"challenge in this images a However, pose variations fashion. to the","However, the variations in images pose a challenge to this fashion.",2235
+"obtain sample-specific intermediate maps to from the we features, In order autoencoder. extract feature an","In order to obtain sample-specific features, we extract the intermediate feature maps from an autoencoder.",2236
+of application an proposed the desirable estimators. studies illustrate the performance finite-sample Simulation empirical and,Simulation studies and an empirical application illustrate the desirable finite-sample performance of the proposed estimators.,2237
+Open-source proposed the is tools evaluation software implementing available. for policy,Open-source software for implementing the proposed policy evaluation tools is available.,2238
+tools making. are in widely pest control models used Phenological decision,Phenological models are widely used tools in pest control decision making.,2239
+models only. built are function developmental often considering the Phenological rate,Phenological models are often built considering the developmental rate function only.,2240
+The mainly to generate of reason the flow difficulty lies in annotation ground-truth. optical human,The reason lies mainly in the difficulty of human annotation to generate optical flow ground-truth.,2241
+the several propose to optical flow We ways augment variations.,We propose several ways to augment the optical flow variations.,2242
+focuses policies demonstration. decentralized sub-optimal for paper tasks on This learning such using,This paper focuses on learning decentralized policies for such tasks using sub-optimal demonstration.,2243
+approaches. outperforms state-of-the-art many based It demonstration significantly,It significantly outperforms many state-of-the-art demonstration based approaches.,2244
+complex This to leads more road traffic management.,This leads to more complex road traffic management.,2245
+"microscopic a SUMO, traffic system simulator. is executed suggested The and well-known using simulated","The suggested system is executed and simulated using SUMO, a well-known microscopic traffic simulator.",2246
+"system. results obtained efficiency the encouraging, proposed confirming the are The of","The obtained results are encouraging, confirming the efficiency of the proposed system.",2247
+point is Processing a large clouds task. challenging,Processing large point clouds is a challenging task.,2248
+"is often processed that to easily. the sampled more a can size Therefore, data be","Therefore, the data is often sampled to a size that can be processed more easily.",2249
+sample data? The to is the question how,The question is how to sample the data?,2250
+is A Point Sampling technique Farthest popular sampling (FPS).,A popular sampling technique is Farthest Point Sampling (FPS).,2251
+"agnostic downstream a to application is However, etc. FPS retrieval, (classification,","However, FPS is agnostic to a downstream application (classification, retrieval, etc.",2252
+is sample. We it to better how show to learn that,We show that it is better to learn how to sample.,2253
+"original subset step. Therefore, in a post-processing points match a it to of the we","Therefore, we match it to a subset of the original points in a post-processing step.",2254
+We problem or clipped of the sparse measurements. quantized recovering from a signal address,We address the problem of recovering a sparse signal from clipped or quantized measurements.,2255
+also are A brief and UAV-to-UAV of hardware discussion provided. communication issues,A brief discussion of UAV-to-UAV communication and hardware issues are also provided.,2256
+applications computer vision. model has fields motion various prediction Human in of,Human motion prediction model has applications in various fields of computer vision.,2257
+"training, further regularize strategy. a the novel introduce prediction we recursive To","To further regularize the training, we introduce a novel recursive prediction strategy.",2258
+"MSI denoising. (LTDL) Dictionary method for In Low-rank this a we Tensor propose Learning paper,","In this paper, we propose a Low-rank Tensor Dictionary Learning (LTDL) method for MSI denoising.",2259
+"blocks from we them Firstly, MSI cluster extract and groups. into the","Firstly, we extract blocks from the MSI and cluster them into groups.",2260
+dictionary of validate the by the on Experiments learning LTDL. data effectiveness synthetic,Experiments on synthetic data validate the effectiveness of dictionary learning by the LTDL.,2261
+many crucial for video applications. Object is detection in,Object detection in video is crucial for many applications.,2262
+"problem. images, Compared the can help video additional to which detection disambiguate provides cues to","Compared to images, video provides additional cues which can help to disambiguate the detection problem.",2263
+"To tubes we temporal to bounding space-time temporal boxes. model corresponding evolution, sequences of introduce","To model temporal evolution, we introduce space-time tubes corresponding to temporal sequences of bounding boxes.",2264
+"We tubes, architectures classifying for propose respectively. generating two CNN and","We propose two CNN architectures for generating and classifying tubes, respectively.",2265
+implements the then video. The Tube-CNN a object in tube-level detector,The Tube-CNN then implements a tube-level object detector in the video.,2266
+in models scenes. particular difficult dynamic advantages show Tube,Tube models show particular advantages in difficult dynamic scenes.,2267
+the temporal introduce enforce regularity We in to motion predicted first-order sequence. loss explicitly gradient,We introduce first-order gradient loss to explicitly enforce temporal regularity in the predicted motion sequence.,2268
+hardware. new approach quantum This a computing novel to paper uses that image presents segmentation,This paper presents a novel approach to image segmentation that uses new quantum computing hardware.,2269
+and current algorithm computers. This implemented be can on quantum near-term,This algorithm can be implemented on current and near-term quantum computers.,2270
+and are data. Encouraging medical imaging on presented results artificial,Encouraging results are presented on artificial and medical imaging data.,2271
+"an This vision. leveraging practical towards computer represents step computers quantum for important,","This represents an important, practical step towards leveraging quantum computers for computer vision.",2272
+"interesting. we may situation and more different, complex arguably the Here be that show more","Here we show that the situation may be different, more complex and arguably more interesting.",2273
+that principle coexist. Competitive Complete the cannot Gauze We competitors that exclusion well-known discuss states,We discuss the well-known Gauze Competitive exclusion principle that states that Complete competitors cannot coexist.,2274
+(UE). photodiodes placing two consider on user (PDs) the configurations for the equipment We,We consider two configurations for placing the photodiodes (PDs) on the user equipment (UE).,2275
+"model. we the For the (ORWP) random mobility orientation-based waypoint invoke latter,","For the latter, we invoke the orientation-based random waypoint (ORWP) mobility model.",2276
+energy is highly (MDT) transmitter It with adaptive multi-directional is the shown that SM efficient.,It is shown that the multi-directional transmitter (MDT) with adaptive SM is highly energy efficient.,2277
+object the image. grounded and the in,and the object grounded in the image.,2278
+a leisure for The (PJ) jigsaw is game humans. well-known pictorial puzzle,The pictorial jigsaw (PJ) puzzle is a well-known leisure game for humans.,2279
+to We intelligence. PJ Internet-based by approach an human collective puzzle propose stigmergy-inspired solving,We propose an approach to solving PJ puzzle by stigmergy-inspired Internet-based human collective intelligence.,2280
+"we Network present the (KTN). In Transformer work, Kernel this","In this work, we present the Kernel Transformer Network (KTN).",2281
+the recognition This multiple application re-training enables to KTN. tasks without,This enables application to multiple recognition tasks without re-training the KTN.,2282
+"cooperate cancer for growth example, producing factors. In by tumour cells can","In cancer for example, tumour cells can cooperate by producing growth factors.",2283
+attend Most once captioning attention-based to per the word. image image models,Most attention-based image captioning models attend to the image once per word.,2284
+"miss easy once is to is attending However, rigid some per word information. and","However, attending once per word is rigid and is easy to miss some information.",2285
+outperforms Experiments dataset caption that our state-of-the-art. show on the MSCOCO method the,Experiments on the MSCOCO caption dataset show that our method outperforms the state-of-the-art.,2286
+This image problem super-resolution rise the to document of (BDISR). gives binary,This gives rise to the problem of binary document image super-resolution (BDISR).,2287
+We analyze address their architectures propose multiple problem and network neural this to deep performance.,We propose multiple deep neural network architectures to address this problem and analyze their performance.,2288
+mmWave combiners a and Configuring to precoders systems. hybrid practical deploy is challenge communication major,Configuring hybrid precoders and combiners is a major challenge to deploy practical mmWave communication systems.,2289
+study compression scheme periodic present We and lossless signals. for of causal real-valued a,We present and study a scheme for lossless causal compression of periodic real-valued signals.,2290
+such utilize semantic understanding. generative achieve networks Current adversarial (GANs) image to inpainting approaches,Current image inpainting approaches utilize generative adversarial networks (GANs) to achieve such semantic understanding.,2291
+"algorithm. propose we a sequential problem, SeFM feature point matching overcome this To","To overcome this problem, we propose SeFM a sequential feature point matching algorithm.",2292
+epipole of each the to We find image. utilize epipolar geometry the first,We first utilize the epipolar geometry to find the epipole of each image.,2293
+"wrong validity. matching calculating also by the Furthermore, dot-pairs we remove","Furthermore, we also remove wrong matching dot-pairs by calculating the validity.",2294
+"recall. SIFT Moreover, it and SURF, such as outperforms conventional regarding precision and algorithms,","Moreover, it outperforms conventional algorithms, such as SIFT and SURF, regarding precision and recall.",2295
+"these carefully compelling results. crafted, can When regularizations produce","When carefully crafted, these regularizations can produce compelling results.",2296
+Human-Engineered amalgamation Features of (ALF) an Auto-Learned is and HDL (HEF). Features,HDL is an amalgamation of Auto-Learned Features (ALF) and Human-Engineered Features (HEF).,2297
+"measurement effective Radiological and offers disease in diagnosis assessment. is of which useful imaging anatomy,","Radiological imaging offers effective measurement of anatomy, which is useful in disease diagnosis and assessment.",2298
+"of segmentation the structures from the Nevertheless, time-consuming. very is medical still images atrial left","Nevertheless, the segmentation of the left atrial structures from medical images is still very time-consuming.",2299
+"an ensemble to Finally, models we segment integrate prediction in datasets. trained testing several","Finally, we integrate several trained models in an ensemble prediction to segment testing datasets.",2300
+as are estimates multidimensional points. The stored,The estimates are stored as multidimensional points.,2301
+is Initial promising. that proposed indicate the the of method performance results,Initial results indicate that the performance of the proposed method is promising.,2302
+Transformer human introduce video recognizing localizing in clips. and We actions the model Action for,We introduce the Action Transformer model for recognizing and localizing human actions in video clips.,2303
+object discovery of problem the We dense for videos. segmentation consider masks in providing,We consider the problem of providing dense segmentation masks for object discovery in videos.,2304
+$t$-based construct to intervals. use can confidence values $k$ these We,We can use these $k$ values to construct $t$-based confidence intervals.,2305
+"a called We propose task, Story Visualization. new","We propose a new task, called Story Visualization.",2306
+"evaluate the datasets. To the CLEVR-SV datasets existing and to Pororo-SV model, modified create we","To evaluate the model, we modified existing datasets to create the CLEVR-SV and Pororo-SV datasets.",2307
+"and evaluation. contextual metrics, consistency Empirically, models human image quality, state-of-the-art outperforms StoryGAN in","Empirically, StoryGAN outperforms state-of-the-art models in image quality, contextual consistency metrics, and human evaluation.",2308
+"proposed. methods observation, upon Based the many attack were","Based upon the observation, many attack methods were proposed.",2309
+in method our prove the and intuitively empirically space. search reducing the rationality of We,We intuitively and empirically prove the rationality of our method in reducing the search space.,2310
+is Numerical obtained demonstrate over significant gain results methods. performance conventional that,Numerical results demonstrate that significant performance gain is obtained over conventional methods.,2311
+"tasks. advantages computation-intensive Also, more are handling latency-critical the when proposed algorithm prominent the of","Also, the advantages of the proposed algorithm are more prominent when handling computation-intensive latency-critical tasks.",2312
+energy Civil to changing of dissipation structures decline. capacity which leads are the on verge,Civil structures are on the verge of changing which leads energy dissipation capacity to decline.,2313
+"Mode EEMD more Empirical Albeit (IMFs) Decomposition than Functions brings (EMD). appropriate Mode analogous, Intrinsic","Albeit analogous, EEMD brings more appropriate Intrinsic Mode Functions (IMFs) than Empirical Mode Decomposition (EMD).",2314
+frequency mode mode to assess shape. and are IMFs first employed,IMFs are employed to assess first mode frequency and mode shape.,2315
+"predicted measured acceleration damage. onset and congruency between Therefore, provides any of","Therefore, any congruency between predicted and measured acceleration provides onset of damage.",2316
+estimate to method Then ANN stiffness matrix. another applied is,Then another ANN method is applied to estimate stiffness matrix.,2317
+This one and the implemented steel moment-resisting are is nonlinear acceptable. on results frame algorithm,This algorithm is implemented on one nonlinear moment-resisting steel frame and the results are acceptable.,2318
+the biometric widely Fingerprints identification. form are deployed most of,Fingerprints are the most widely deployed form of biometric identification.,2319
+same share the have identifiers. fingerprint unique because two No individuals biometric they,No two individuals share the same fingerprint because they have unique biometric identifiers.,2320
+paper This fingerprint presents accuracy. improves verification algorithm which efficient an matching,This paper presents an efficient fingerprint verification algorithm which improves matching accuracy.,2321
+get and Fingerprint skin and due in to impression images degraded conditions. variations corrupted,Fingerprint images get degraded and corrupted due to variations in skin and impression conditions.,2322
+"enhancement detection singular minutiae techniques and employed to Thus, point are prior image extraction.","Thus, image enhancement techniques are employed prior to singular point detection and minutiae extraction.",2323
+is curvature. point Singular the point maximum of,Singular point is the point of maximum curvature.,2324
+to the particular on depending radius The the accuracy according application. varied can be,The radius can be varied according to the accuracy depending on the particular application.,2325
+that more effective the proposed robust. measures is algorithm The and demonstrate,The measures demonstrate that the proposed algorithm is more effective and robust.,2326
+"to the vulnerable consequence, large can techniques As a occlusions. resulting be","As a consequence, the resulting techniques can be vulnerable to large occlusions.",2327
+"Furthermore, relies real-time achieve architecture on performance. a to simple it enough","Furthermore, it relies on a simple enough architecture to achieve real-time performance.",2328
+networks known attacks. adversarial neural be to are vulnerable to Deep,Deep neural networks are known to be vulnerable to adversarial attacks.,2329
+exposes in and of security-sensitive exploits to their them highlights This robustness. applications potential lack,This exposes them to potential exploits in security-sensitive applications and highlights their lack of robustness.,2330
+and It potential for improvement has more also training. flexibility via,It also has more flexibility and potential for improvement via training.,2331
+proposed staged used the supervision of several in is outputs Intermediate architecture approach. a in,Intermediate supervision is used in several outputs of the proposed architecture in a staged approach.,2332
+"This is commonly to as referred ""word spotting"".","This is commonly referred to as ""word spotting"".",2333
+further introduce called version a Ctrl-F-Mini. simplified We,We further introduce a simplified version called Ctrl-F-Mini.,2334
+"with is segmented similar though faster to limited manuscripts. performance, easily more It is it","It is faster with similar performance, though it is limited to more easily segmented manuscripts.",2335
+these problem. of numerical a optimization applications Many large-scale involve solving,Many of these applications involve solving a large-scale numerical optimization problem.,2336
+"instance interactive segmentation, to feedback segmentation masks. give refine iteratively users In","In interactive instance segmentation, users give feedback to iteratively refine segmentation masks.",2337
+visual which is equally are in multimodal essential an and auditory important. It contents task,It is an essential multimodal task in which auditory and visual contents are equally important.,2338
+How sentences words are the with modalities? auditory the the generated in visual and associated,How are the words in the generated sentences associated with the auditory and visual modalities?,2339
+"benchmarks. several state-of-the-arts consistently Overall, on the NMTree proposed the outperforms","Overall, the proposed NMTree consistently outperforms the state-of-the-arts on several benchmarks.",2340
+grounding score calculation in great results detail. show Qualitative explainable,Qualitative results show explainable grounding score calculation in great detail.,2341
+most in artworks the Chinese of painting one traditional world. historical is the,Chinese traditional painting is one of the most historical artworks in the world.,2342
+to popular Asia being Southeast due aesthetically It in very appealing. Eastern and is,It is very popular in Eastern and Southeast Asia due to being aesthetically appealing.,2343
+"with painting, artistic it western textureless. usually and visually abstract is more Compared","Compared with western artistic painting, it is usually more visually abstract and textureless.",2344
+neural It style abstraction problem transfer. in remains to challenging preserve a,It remains a challenging problem to preserve abstraction in neural style transfer.,2345
+"this Transfer paper, Neural we Abstract method for traditional a present Style Chinese painting. In","In this paper, we present a Neural Abstract Style Transfer method for Chinese traditional painting.",2346
+"recognition. problem the sketch of paper, address In hand-drawn we this","In this paper, we address the problem of hand-drawn sketch recognition.",2347
+"observe fraction a However, this small very of only cameras distribution. most","However, most cameras observe only a very small fraction of this distribution.",2348
+Recognition active an has the in become domains research recently topic community. across,Recognition across domains has recently become an active topic in the research community.,2349
+"However, domains. it recognition has new the unseen largely of problem in in overlooked been","However, it has been largely overlooked in the problem of recognition in new unseen domains.",2350
+"we benchmark recognition, digit On four on i.e. recognition popular digit databases,","On digit recognition, we benchmark on four popular digit recognition databases, i.e.",2351
+accepted software principle tests has a is bugs. It without widely that,It is a widely accepted principle that software without tests has bugs.,2352
+"robust populations. in The developmental, analysis is patient healthy, automated and and fully","The analysis is fully automated and robust in healthy, developmental, and patient populations.",2353
+challenging state-of-the-art datasets. localization against methods evaluate three on (SOTA) We our model,We evaluate our model against state-of-the-art (SOTA) methods on three challenging localization datasets.,2354
+maps We insights offer show into model. to predicted attention the finally our useful,We finally show the predicted attention maps to offer useful insights into our model.,2355
+"massively within undersampled mechanisms. about measurements us Therefore, tell little correlations","Therefore, correlations within massively undersampled measurements tell us little about mechanisms.",2356
+different are challenges and for ways the tackle both too. to vary The them,The challenges for both are different and the ways to tackle them vary too.,2357
+easier makes learning showed and also things deep precise. We,We also showed deep learning makes things easier and precise.,2358
+"a alignment is challenging problem Therefore, VSR. yet important for temporal","Therefore, temporal alignment is a challenging yet important problem for VSR.",2359
+"to supporting TDAN frames kernels, frame. align the reference using with transforms the corresponding By","By using the corresponding kernels, TDAN transforms supporting frames to align with the reference frame.",2360
+of the effectiveness the Experimental model. results proposed VSR TDAN-based demonstrate,Experimental results demonstrate the effectiveness of the proposed TDAN-based VSR model.,2361
+"star sensors. conventional most Currently, optical use trackers","Currently, most star trackers use conventional optical sensors.",2362
+"this propose star for usage the application we event paper, tracking. In of sensors","In this application paper, we propose the usage of event sensors for star tracking.",2363
+"community, familiar researchers. remains research many topic the less to Within AI this","Within the AI research community, this topic remains less familiar to many researchers.",2364
+surveillance. camera role important video person an a Finding plays a in across network,Finding a person across a camera network plays an important role in video surveillance.,2365
+of spatial-temporal person current (ReID) a constraint. Most neglect re-identification methods,Most of current person re-identification (ReID) methods neglect a spatial-temporal constraint.,2366
+"a Histogram-Parzen To develop probability fast distribution, method. approximate spatial-temporal (HP) a we complex","To approximate a complex spatial-temporal probability distribution, we develop a fast Histogram-Parzen (HP) method.",2367
+"from performance on manipulation unseen significantly. However, drops examples their approaches,","However, on examples from unseen manipulation approaches, their performance drops significantly.",2368
+"transferability, Forensic-Transfer To this introduce limitation in we (FT). address","To address this limitation in transferability, we introduce Forensic-Transfer (FT).",2369
+named Scale Peak-to-Correlation SITUP: system resulting The using is Tracking Energy. Average Invariant,The resulting system is named SITUP: Scale Invariant Tracking using Average Peak-to-Correlation Energy.,2370
+filters are in Filters enhancing medical used one Frangi widely vessels the of for images.,Frangi Filters are one of the widely used filters for enhancing vessels in medical images.,2371
+"for enhancing manually coronary fluoroscope, images. for are angiogram thresholds These changed individual","These thresholds are changed manually for individual fluoroscope, for enhancing coronary angiogram images.",2372
+not best the has our of been addressed problem This yet. to knowledge,This problem to the best of our knowledge has not been addressed yet.,2373
+estimation (DOA) considered. using of direction-of-arrival arrays The problem non-uniform is,The problem of direction-of-arrival (DOA) estimation using non-uniform arrays is considered.,2374
+"with a perform In is sparsity-based interpolation DOA presented to increased technique estimation addition, DOFs.","In addition, a sparsity-based interpolation technique is presented to perform DOA estimation with increased DOFs.",2375
+ideal operational aforementioned approaches with The scenarios. deal,The aforementioned approaches deal with ideal operational scenarios.,2376
+are included. methods simulations numerical validate also Extensive which different proposed the,Extensive numerical simulations which validate the different proposed methods are also included.,2377
+We for verifying fairness specifications. a scalable design algorithm,We design a scalable algorithm for verifying fairness specifications.,2378
+object without could for detection applications immense real-world methodology unlock Our datasets.,Our methodology could unlock object detection for real-world applications without immense datasets.,2379
+"facial of application examine the we In particular, recognition.","In particular, we examine the application of facial recognition.",2380
+"lines, for these weight a Along via we backdooring describe methodology general perturbations. targeted CNNs","Along these lines, we describe a general methodology for backdooring CNNs via targeted weight perturbations.",2381
+depth monocular present framework single unsupervised videos. view estimation a using novel learning for We,We present a novel unsupervised learning framework for single view depth estimation using monocular videos.,2382
+may result overfitting. in baseline short This and a,This may result in a short baseline and overfitting.,2383
+"impute resolution low image. generally a works low resolution a Besides, estimate from previous depth","Besides, previous works generally estimate a low resolution depth from a low resolution impute image.",2384
+is then depth resolution. low to The interpolated original the resolution recover,The low resolution depth is then interpolated to recover the original resolution.,2385
+"we clip to deal Additionally, occlusion. loss with introduce and the moving objects","Additionally, we introduce the clip loss to deal with moving objects and occlusion.",2386
+for blood regional myocardial available and flow were Manual segmentation (MBF) comparison.,Manual segmentation and regional myocardial blood flow (MBF) were available for comparison.,2387
+"decreased rate positive false the and systematically rate false $\beta$ systematically As increased. negative increased,","As $\beta$ increased, the false positive rate systematically decreased and false negative rate systematically increased.",2388
+two for uncertainty. simple model introduce also methods We assessing,We also introduce two simple methods for assessing model uncertainty.,2389
+pose end-to-end previous an performed mainly architecture refinement The in multi-stage was methods. trainable through,The pose refinement was performed mainly through an end-to-end trainable multi-stage architecture in previous methods.,2390
+"pose careful and However, require estimation design. models on dependent are they model highly","However, they are highly dependent on pose estimation models and require careful model design.",2391
+"propose model-agnostic contrast, method. refinement we pose a By","By contrast, we propose a model-agnostic pose refinement method.",2392
+happening a area. Interreflections its surface concave to lead of values over gradients RGB in,Interreflections happening in a concave surface lead to gradients of RGB values over its area.,2393
+only interreflection trained simulated model. physics-based Our data constructed with using is a network,Our network is trained with only simulated data constructed using a physics-based interreflection model.,2394
+"to approaches. addition, on compared data interreflection-based better In results gives other real it","In addition, it gives better results on real data compared to other interreflection-based approaches.",2395
+"and Then lesion-targeted classifiers, compare respectively. we train both and disease-targeted","Then we train and compare both disease-targeted and lesion-targeted classifiers, respectively.",2396
+often a process. localization The part as arises of of problem navigation,The problem of localization often arises as part of a navigation process.,2397
+"input contrast, train we joint and classification data. of reconstruction networks for In","In contrast, we train networks for joint classification and reconstruction of input data.",2398
+are assembly. drivers tradeoffs of Life-history among species community major,Life-history tradeoffs among species are major drivers of community assembly.,2399
+tradeoffs investigate how promote of studies species. deterministic Most coexistence,Most studies investigate how tradeoffs promote deterministic coexistence of species.,2400
+"machine garment cost. is desirable to sewing automatic an manufacturing, In reduce","In garment manufacturing, an automatic sewing machine is desirable to reduce cost.",2401
+and framework blob motion for matching. using Our includes feature a detection module estimation,Our framework includes a module for motion estimation using blob detection and feature matching.,2402
+pattern facilitate It also module the lattice weave includes a detection for recognition. to,It also includes a module for lattice detection to facilitate the weave pattern recognition.,2403
+video networks present for We recognition. SlowFast,We present SlowFast networks for video recognition.,2404
+"We major accuracy state-of-the-art video report AVA. Charades and recognition on Kinetics, benchmarks,","We report state-of-the-art accuracy on major video recognition benchmarks, Kinetics, Charades and AVA.",2405
+"evaluate our datasets, on three namely approach MMI. Oulu-CASIA, We and CK+ popular","We evaluate our approach on three popular datasets, namely Oulu-CASIA, CK+ and MMI.",2406
+"made ray to a the ray through is data. pass casting, In light of volume","In ray casting, a ray of light is made to pass through the volume data.",2407
+"demonstrate tend on real performance to However, images. trained synthetic models simply poor on images","However, models trained simply on synthetic images tend to demonstrate poor performance on real images.",2408
+One approach inputs. a as that is depth uses fusion-based images,One is a fusion-based approach that uses depth images as inputs.,2409
+learning The a other images approach that outputs. multitask uses is as depth,The other is a multitask learning approach that uses depth images as outputs.,2410
+missing in a plane. time-frequency reconstruction problem data We new propose the of,We propose a new problem of missing data reconstruction in the time-frequency plane.,2411
+A mathematical problem given. this is of formulation,A mathematical formulation of this problem is given.,2412
+We algorithms. existing propose alternatives of three,We propose three alternatives of existing algorithms.,2413
+and optimization algorithms: two PhaseLift An PhaseCut. and semidefinite Griffin programming algorithm: iterative Lim and,An iterative algorithm: Griffin and Lim and two semidefinite programming optimization algorithms: PhaseLift and PhaseCut.,2414
+knowledge results quality. of certain phases that obtained The reconstruction's show improves the,The obtained results show that knowledge of certain phases improves the reconstruction's quality.,2415
+task. can very time-consuming a Identifying them be,Identifying them can be a very time-consuming task.,2416
+by problem. it perturbation data (image) accomplished modeling is as This,This is accomplished by modeling it as data (image) perturbation problem.,2417
+is Unconstrained stimulating text recognition. in field pattern recognition the a of branch,Unconstrained text recognition is a stimulating field in the branch of pattern recognition.,2418
+Hidden modeling. are Models Markov used then for The sequences,The Hidden Markov Models are then used for sequences modeling.,2419
+method promising datasets. both on recognition Our achieves,Our method achieves promising recognition on both datasets.,2420
+neural of computing the computational such reducing costs inference. require Important network as applications mobile,Important applications such as mobile computing require reducing the computational costs of neural network inference.,2421
+single settings. a propose framework efficiency both end-to-end improve in inference can that We,We propose a single end-to-end framework that can improve inference efficiency in both settings.,2422
+"end-to-end, We pruning as as computation. well supports same and train conditional the technique","We train end-to-end, and the same technique supports pruning as well as conditional computation.",2423
+is Automatic vertebrae localization images identification challenging. CT arbitrary and from,Automatic vertebrae identification and localization from arbitrary CT images is challenging.,2424
+have space efficient heuristic tested. search regard methods shortest-path Five with been to,Five heuristic methods with regard to efficient shortest-path search space have been tested.,2425
+very a topic has mapping recent Cross-domain in active been years.,Cross-domain mapping has been a very active topic in recent years.,2426
+"state-of-the-art i.e. two Most of on the focused has existing reasons, only","Most of the existing state-of-the-art has focused only on two reasons, i.e.",2427
+"on and (i) and either (iii). or (i) (ii),","either on (i) and (ii), or (i) and (iii).",2428
+"all obviously this While attractive it approach, applicable is not in an scenarios. is","While this is an obviously attractive approach, it is not applicable in all scenarios.",2429
+communication (CSI) any crucial information for Channel very state is wireless systems.,Channel state information (CSI) is very crucial for any wireless communication systems.,2430
+"at be characterized can side Typically, impulse CSI using receiver the channel response (CIR).","Typically, CSI can be characterized at the receiver side using channel impulse response (CIR).",2431
+shown wireless the observations have often sparse. Many of that multipath are broadband channels CIR,Many observations have shown that the CIR of broadband multipath wireless channels are often sparse.,2432
+"model/type. category, one humans always vehicle's coarse-grained firstly the i.e., Specifically, determine car","Specifically, humans always firstly determine one vehicle's coarse-grained category, i.e., the car model/type.",2433
+vision Person is preliminary computer tasks. operation for several high level detection fundamental,Person detection is fundamental preliminary operation for several high level computer vision tasks.,2434
+person is can One significantly retail. industry that benefit from detection,One industry that can significantly benefit from person detection is retail.,2435
+"detectors efficiently in face to single-shot we videos. localize faces use multi-scale First,","First, we use multi-scale single-shot face detectors to efficiently localize faces in videos.",2436
+"architecture are methods (NAS) Due search neural expensive. computationally to previous this,","Due to this, previous neural architecture search (NAS) methods are computationally expensive.",2437
+factors and depends target devices. resolution architecture on as such optimality ConvNet input,ConvNet architecture optimality depends on factors such as input resolution and target devices.,2438
+"for However, case-by-case redesigns. expensive too existing approaches are","However, existing approaches are too expensive for case-by-case redesigns.",2439
+"In completed a pattern this propose new descriptor, paper, local we derivative texture (CLDP).","In this paper, we propose a new texture descriptor, completed local derivative pattern (CLDP).",2440
+"lead of period, the behavior During may this volatility explosive an to change the process.","During this period, the change may lead to an explosive behavior of the volatility process.",2441
+that assumed the the unknown. of magnitude the breaks both It are is and timing,It is assumed that both the magnitude and the timing of the breaks are unknown.,2442
+moment Our hold on under innovations GARCH process. theoretical the of assumptions results mild the,Our theoretical results hold under mild moment assumptions on the innovations of the GARCH process.,2443
+to Bitcoin returns returns. Apple test and the We apply asset,We apply the test to Apple asset returns and Bitcoin returns.,2444
+also provide and learning-based comparison theoretical and We methods. rule-based our the greedy between experimental,We also provide the theoretical and experimental comparison between our learning-based and greedy rule-based methods.,2445
+give widely look. applied artistic images has new a been real-world transfer to Style,Style transfer has been widely applied to give real-world images a new artistic look.,2446
+vision component systems. Outdoor to crucial visual localization is a computer many,Outdoor visual localization is a crucial component to many computer vision systems.,2447
+"relevant task image, to repository. search is query Given the in images a a","Given a query image, the task is to search relevant images in a repository.",2448
+these the combining feature by Thus vectors. CBIR system be can of enhanced performance the,Thus the performance of the CBIR system can be enhanced by combining these feature vectors.,2449
+"and texture color, have to four taken shape We feature represent descriptors features.","We have taken four feature descriptors to represent color, texture and shape features.",2450
+peer-reviewed was network developed literature. of detailed modules from event A,A network of detailed event modules was developed from peer-reviewed literature.,2451
+Compressing ever-increasing focus. (CNNs) received networks has neural research convolutional,Compressing convolutional neural networks (CNNs) has received ever-increasing research focus.,2452
+"perspective. interpretable a In CNN investigate we the problem from novel paper, of compression this","In this paper, we investigate the problem of CNN compression from a novel interpretable perspective.",2453
+accomplish to based KSE compression. conducted on the is Kernel CNN high-precision clustering further indicator,Kernel clustering is further conducted based on the KSE indicator to accomplish high-precision CNN compression.,2454
+superior demonstrates gains over performance previous method ones. Our,Our method demonstrates superior performance gains over previous ones.,2455
+widely are two SBIR on datasets. Extensive used experiments benchmark conducted,Extensive experiments are conducted on two widely used SBIR benchmark datasets.,2456
+Neural modeled systems of connected neural be networks as can functionally elements.,Neural systems can be modeled as networks of functionally connected neural elements.,2457
+Neural performance Convolution achieved Networks super-resolution Deep image significant (SR) have recently. (CNN) single on,Deep Convolution Neural Networks (CNN) have achieved significant performance on single image super-resolution (SR) recently.,2458
+mechanisms and cellular Various the dynamics structure influence the level firing patterns. network macroscopic,Various cellular level mechanisms influence the network dynamics and structure the macroscopic firing patterns.,2459
+"delay a i.e. symmetry necessary condition We transmission show that is for breaking, the","We show that the transmission delay is a necessary condition for symmetry breaking, i.e.",2460
+time. space convolutions so do and deformable leveraging We across by,We do so by leveraging deformable convolutions across space and time.,2461
+these Motion motion as (Discriminative refer DiMoFs We to Features). offsets,We refer to these motion offsets as DiMoFs (Discriminative Motion Features).,2462
+"within grounder proposed the a given image to Subsequently, expression is directly. referring localize the","Subsequently, a grounder is proposed to localize the referring expression within the given image directly.",2463
+"a and of CNNs. train collecting However, data amount annotating to huge are needed","However, collecting and annotating a huge amount of data are needed to train CNNs.",2464
+"the features obtains invariant we class-wise develop which Then, of CNNs. adaptation domain","Then, we develop the class-wise adaptation which obtains domain invariant features of CNNs.",2465
+approach kriging. novel based single-image a geostatistical the propose of super-resolution on method We,We propose a novel single-image super-resolution approach based on the geostatistical method of kriging.,2466
+as super-resolution other results state-of-the-art methods. Our network achieves competitive,Our network achieves competitive super-resolution results as other state-of-the-art methods.,2467
+interact question. oscillations How remains the salient a rate and firing,How the firing rate and oscillations interact remains a salient question.,2468
+"consider not available. bounding is might inefficient, However, this solution the be we boxes since","However, we consider this solution is inefficient, since the bounding boxes might not be available.",2469
+popular combines of a (e.g. object number SIMRDWN algorithms detection,SIMRDWN combines a number of popular object detection algorithms (e.g.,2470
+"Super-resolution less performance. beneficial though small is at in resolutions, improvement provides a coarser still","Super-resolution is less beneficial at coarser resolutions, though still provides a small improvement in performance.",2471
+face role recognition a plays Facial critical in and landmark localization analysis.,Facial landmark localization plays a critical role in face recognition and analysis.,2472
+generates response facial landmark any raw without Our images preprocessing. from directly proposed BB-FCN maps,Our proposed BB-FCN generates facial landmark response maps directly from raw images without any preprocessing.,2473
+"activated naturally neighboring only response long-distance function, by Gaussian is and points. penalizes","Gaussian function, naturally penalizes long-distance response and is only activated by neighboring points.",2474
+localized features Such response generates discriminative point highly given distributions. different,Such localized response generates highly discriminative features given different point distributions.,2475
+This for motivates a spatial-spectral denoising. HSI us propose paradigm unified to,This motivates us to propose a unified spatial-spectral paradigm for HSI denoising.,2476
+annotations The of locations. is and properties accompanied spatial data by object individual training often,The training data is often accompanied by annotations of individual object properties and spatial locations.,2477
+"available and obtain. expertise require scarcely to are However, and binaural nontrivial recordings equipment","However, binaural recordings are scarcely available and require nontrivial expertise and equipment to obtain.",2478
+monaural convert binaural leveraging to audio common into by video. audio We propose,We propose to convert common monaural audio into binaural audio by leveraging video.,2479
+from link multi-modal video. this approach Our recovers unlabeled,Our multi-modal approach recovers this link from unlabeled video.,2480
+and significant incurs our real-time system for suitable makes This savings approach operation. runtime hierarchical,This hierarchical approach incurs significant runtime savings and makes our system suitable for real-time operation.,2481
+toward a dermatological is identification step lesion key diagnosis. Skin,Skin lesion identification is a key step toward dermatological diagnosis.,2482
+"transform In propose this we a a video to comics. a into solution paper,","In this paper, we propose a solution to transform a video into a comics.",2483
+neural a based We this task using approach algorithm on Adversarial Networks style Generative (GANs).,We approach this task using a neural style algorithm based on Generative Adversarial Networks (GANs).,2484
+"a into comics. the style second In selected of the is stage, keyframes transferred","In the second stage, the style of selected keyframes is transferred into a comics.",2485
+broad well-researched Super Single is relevance. (SISR) Resolution  problem with  commercial a Image,  Single Image Super Resolution (SISR) is a well-researched problem with broad commercial relevance.,2486
+years. Face has great the in made past progress synthesis few sketch,Face sketch synthesis has made great progress in the past few years.,2487
+process. two-fold pose representation signature in done is The,The pose signature representation is done in two-fold process.,2488
+images. a of set without any training recognize Zero-shot to classes (ZSL) learning unseen aims,Zero-shot learning (ZSL) aims to recognize a set of unseen classes without any training images.,2489
+thus limits is annotation it of severely label/attribute ZSL. expensive; scalability the Class,Class label/attribute annotation is expensive; it thus severely limits the scalability of ZSL.,2490
+ZSL is yet more conventional setting. more the clearly than This challenging realistic,This is clearly more challenging yet more realistic than the conventional ZSL setting.,2491
+features followed for bidirectional This learning by is ZSL. and attributes between projections,This is followed by learning bidirectional projections between features and attributes for ZSL.,2492
+"with theoretic efficient rigorous solver provided, is algorithm together An analysis.","An efficient solver is provided, together with rigorous theoretic algorithm analysis.",2493
+and that experiments ZSL show our model SIA. achieves superior performance both on Extensive,Extensive experiments show that our model achieves superior performance on both ZSL and SIA.,2494
+for A extracting discriminative features. Net (FDFNet) been Extraction novel Feature proposed Finger-Dorsal has the,A novel Finger-Dorsal Feature Extraction Net (FDFNet) has been proposed for extracting the discriminative features.,2495
+fraction conventional fat a were maps created method. using Reference,Reference fat fraction maps were created using a conventional method.,2496
+performed graphics was processing a Training unit (GPU). using,Training was performed using a graphics processing unit (GPU).,2497
+unit using as (CPU). well the performed GPU a central was processing as Inference,Inference was performed using the GPU as well as a central processing unit (CPU).,2498
+represents listening hearing emerging Machine or an area.,Machine hearing or listening represents an emerging area.,2499
+"learning a sake, is efficient this and method For supervised novel dictionary presented.","For this sake, a novel and efficient supervised dictionary learning method is presented.",2500
+"and words, the other seeking maximize separability. minimize class intra-class homogeneity In are to we","In other words, we are seeking to minimize the intra-class homogeneity and maximize class separability.",2501
+resulting descent is method. solved and The optimization proximal using gradient non-convex a problem,The resulting optimization problem is non-convex and solved using a proximal gradient descent method.,2502
+detection in a is surveillance. Anomaly video challenging intelligent problem,Anomaly detection is a challenging problem in intelligent video surveillance.,2503
+"requirement. methods cannot which existing are Most consuming, real-time the satisfy computation","Most existing methods are computation consuming, which cannot satisfy the real-time requirement.",2504
+look interesting images iris both Generating which realistic and an challenging is problem.,Generating iris images which look realistic is both an interesting and challenging problem.,2505
+achieves experimental proposed Multiple the different state-of-the-art on evaluated protocols demonstrate experiments performance. that method,Multiple experiments evaluated on different experimental protocols demonstrate that the proposed method achieves state-of-the-art performance.,2506
+"this data concepts, in prove and experimental the computer paper. To presented simulations are underlying","To prove the underlying concepts, computer simulations and experimental data are presented in this paper.",2507
+"and and to During depth are alternated depth. motion accurate estimation converge inference,","During inference, motion and depth estimation are alternated and converge to accurate depth.",2508
+"challenging in to regions, discontinuities. as such leverage This allows us depth depth uncertainty","This allows us to leverage depth uncertainty in challenging regions, such as depth discontinuities.",2509
+In examine race believe cases paper one this is such where factor. we we,In this paper we examine cases where we believe race is one such factor.,2510
+and image forms look facial We problem; synthesis. classification particular two in at of,We look in particular at two forms of problem; facial classification and image synthesis.,2511
+of solutions to respect correspond VDA. from with to Justified the argumentation actions semantics,Justified actions with respect to semantics from argumentation correspond to solutions of the VDA.,2512
+usefulness This synthetic from data information the of demonstrates semantic for segmentation. geometric cross-domain,This demonstrates the usefulness of geometric information from synthetic data for cross-domain semantic segmentation.,2513
+average show in performance an Results approx. decoding increase of,Results show an average increase in decoding performance of approx.,2514
+optimization They with where complex solvers problems performance. varied exhibit deal standalone,They deal with complex optimization problems where standalone solvers exhibit varied performance.,2515
+selection Among tool hyper-heuristics. reside such a,Among such a tool reside selection hyper-heuristics.,2516
+"the their of analyzing on transformation, each effect of combinations. focus kind of and We","We focus on analyzing the effect of each kind of transformation, and of their combinations.",2517
+"on increasing previous Furthermore, analyzed features. we of research expand by number the","Furthermore, we expand on previous research by increasing the number of analyzed features.",2518
+"as However, implicit explicit fruitful. transformations not and combining was","However, combining implicit and explicit transformations was not as fruitful.",2519
+"some ran of we domain tests Additionally, the on problems. confirmatory knapsack","Additionally, we ran some confirmatory tests on the domain of knapsack problems.",2520
+measurement. concepts Our key of on is focus the,Our focus is on the key concepts of measurement.,2521
+"or the need for due system to eliminated. revisions changes settings is user-defined Hence, future","Hence, the need for user-defined settings or future revisions due to system changes is eliminated.",2522
+through in simulations described scheme evaluated test The and is systems. two,The scheme is described and evaluated through simulations in two test systems.,2523
+"basic each element. is It which seeds for the object point, proposal","It seeds object proposal for each point, which is the basic element.",2524
+yield performance. with and context features precise coordinates improved both cloud These information point,These features with both context information and precise point cloud coordinates yield improved performance.,2525
+"hard new great on set. accomplishes advantage , state-of-the-art the Our showing method","Our method accomplishes new state-of-the-art , showing great advantage on the hard set.",2526
+Automated detection deception (ADD) videos from task. is a challenging real-life,Automated deception detection (ADD) from real-life videos is a challenging task.,2527
+"In work, are problems addressed. this both","In this work, both problems are addressed.",2528
+"novel cross-stream a is network for face-focused multimodal learning, (FFCSN) Specifically, face-body proposed.","Specifically, for face-body multimodal learning, a novel face-focused cross-stream network (FFCSN) is proposed.",2529
+results. show our Extensive FFCSN model that experiments state-of-the-art achieves,Extensive experiments show that our FFCSN model achieves state-of-the-art results.,2530
+"to directly learn human-object an ""hotspots"" from interaction video. We propose approach","We propose an approach to learn human-object interaction ""hotspots"" directly from video.",2531
+The benefits DLOW our two-fold. model are of,The benefits of our DLOW model are two-fold.,2532
+"First, intermediate it different is into in able to images the domains. styles transfer source","First, it is able to transfer source images into different styles in the intermediate domains.",2533
+model implement CycleGAN. based We on DLOW our,We implement our DLOW model based on CycleGAN.,2534
+"using region this network. attention we paper, challenges address guided a the In","In this paper, we address the challenges using a region guided attention network.",2535
+"domain data. for unlabeled perform adaptation addition, target In we","In addition, we perform domain adaptation for unlabeled target data.",2536
+and in Individual an detection tracking is monitoring requirement pig applications. many important pig video-based,Individual pig detection and tracking is an important requirement in many video-based pig monitoring applications.,2537
+"this From and obtain several useful study, observations. we interesting","From this study, we obtain several interesting and useful observations.",2538
+"Tree-structured Kronecker convolution employs TFA and Convolutional we Networks Finally, Kronecker design which module. (TKCN)","Finally, we design Tree-structured Kronecker Convolutional Networks (TKCN) which employs Kronecker convolution and TFA module.",2539
+"and exploit attention this a important we language-guided information capture To mechanism. graph-based, propose","To capture and exploit this important information we propose a graph-based, language-guided attention mechanism.",2540
+"proposed and comprehension mechanism visualisable enables attention the to the be graph decision explainable. Furthermore,","Furthermore, the proposed graph attention mechanism enables the comprehension decision to be visualisable and explainable.",2541
+on show comprehension of Experiments datasets the advantage approach. referring expression the three proposed,Experiments on three referring expression comprehension datasets show the advantage of the proposed approach.,2542
+"existing models the this paper, we enable same. to In video do","In this paper, we enable existing video models to do the same.",2543
+This introduces and publicly recognition. in detection text article scene available datasets,This article introduces publicly available datasets in scene text detection and recognition.,2544
+"on deep PReID part-based methods models. state-of-the-art Recently, are many","Recently, many state-of-the-art methods on PReID are part-based deep models.",2545
+"direction feature However, usually vertical the body representation of is ignored. in","However, the feature representation of body in vertical direction is usually ignored.",2546
+"model for In study, PReID. we multi-branches a introduce this deep","In this study, we introduce a multi-branches deep model for PReID.",2547
+"consists Specifically, five of model branches. the","Specifically, the model consists of five branches.",2548
+learning. branches the five representation improve All the can,All the five branches can improve the representation learning.,2549
+proposed deep framework most cases. many outperforms state-of-the-art The in,The proposed deep framework outperforms many state-of-the-art in most cases.,2550
+train initial Directly these harmful segmentation is for to model using masks performance. the,Directly using these initial masks to train segmentation model is harmful for the performance.,2551
+"paper. this network hybrid problem, propose address in a To we this","To address this problem, we propose a hybrid network in this paper.",2552
+has to challenge computer traditional been Scale from vision. approaches modern variation a in,Scale variation has been a challenge from traditional to modern approaches in computer vision.,2553
+data. from the We should argue learned scaling that be policy,We argue that the scaling policy should be learned from data.,2554
+with results scale Our challenges. improvement images show major for,Our results show major improvement for images with scale challenges.,2555
+at provided the to document. code of MATLAB source end A link is the,A link to MATLAB source code is provided at the end of the document.,2556
+framework the main decouples three The factors (i.e.,The framework decouples the three main factors (i.e.,2557
+the could show We that segmentation improve the truth effectively pseudo ground performance.,We show that the pseudo ground truth could effectively improve the segmentation performance.,2558
+than more efficient is segmentation object video methods. straightforward This existing method unsupervised,This straightforward unsupervised video object segmentation method is more efficient than existing methods.,2559
+"provided are theoretical with along practical remarks. Finally, and conclusions","Finally, conclusions are provided along with theoretical and practical remarks.",2560
+recognition. deals during current learning both images object in static work with recognition and Most,Most current work in object recognition deals with static images during both learning and recognition.,2561
+in use We information these both the of sources recognition of and explore learning processes.,We explore the use of these sources of information in both learning and recognition processes.,2562
+The can form composed the to local be together global match then density. distributions,The local distributions can then be composed together to form the global match density.,2563
+makes This large particularly models. it suitable for handling,This makes it particularly suitable for handling large models.,2564
+automatically more makes technology dramatically Text impressive. transfer the effects text,Text effects transfer technology automatically makes the text dramatically more impressive.,2565
+recognize works important AUs regions. emphasizing attempted Current by have to,Current works have attempted to recognize AUs by emphasizing important regions.,2566
+"novel model R-CNN AU knowledge, By a expert based incorporating propose named R-CNN. we prior","By incorporating expert prior knowledge, we propose a novel R-CNN based model named AU R-CNN.",2567
+performance design considerably approaches. detection better existing than This produces,This design produces considerably better detection performance than existing approaches.,2568
+of recognition achieved. is AU detection State-of-the-art performance,State-of-the-art recognition performance of AU detection is achieved.,2569
+each corresponding aims pixel with image parsing) to its image label. annotate class semantic,image parsing) aims to annotate each image pixel with its corresponding semantic class label.,2570
+improved optimization typically Segmentation Random on result labels. (MRF) Markov the initial is by Field,Segmentation result is typically improved by Markov Random Field (MRF) optimization on the initial labels.,2571
+"by a framework prior designing the of lack object-oriented is information. such challenged generalized However,","However, designing such a generalized framework is challenged by the lack of object-oriented prior information.",2572
+almost enables improve us This with loss. no performance method accuracy to,This enables us to improve method accuracy with almost no performance loss.,2573
+one issues of instantiation in to these for ontology address We TDD aim authoring.,We aim to address these issues in one instantiation of TDD for ontology authoring.,2574
+"video problem action recognition, Video understanding, attention. gaining in increasing a critical been has","Video action recognition, a critical problem in video understanding, has been gaining increasing attention.",2575
+"on performance and show results ActivityNet, benchmark Experimental datasets, competitive our Something-Something of method. the","Experimental results on benchmark datasets, Something-Something and ActivityNet, show the competitive performance of our method.",2576
+Recent distributions. times have systems often that have fixation in such studies right-skewed found,Recent studies have found that fixation times in such systems often have right-skewed distributions.,2577
+"depend their on how mutant about and fitness. however, Little known, these distributions is skew","Little is known, however, about how these distributions and their skew depend on mutant fitness.",2578
+"Also, learning for architectures quantification. proposed deep were new three LV","Also, three new deep learning architectures were proposed for LV quantification.",2579
+"may approach applications this quantification. important have Also, motion on","Also, this approach may have important applications on motion quantification.",2580
+"more that incumbents. resources, architecture is spatio-spectral our misdetection of with It lower identifies shown","It is shown that our architecture identifies more spatio-spectral resources, with lower misdetection of incumbents.",2581
+"IoT incumbents. with a As devices into are interference limited connected result, more","As a result, more IoT devices are connected with limited interference into incumbents.",2582
+performing for novel proposals a propose generating We approach for region face-detection.,We propose a novel approach for generating region proposals for performing face-detection.,2583
+of signals reside on applications In graphs. vertices many the weighted,In many applications signals reside on the vertices of weighted graphs.,2584
+dimensionality graph learning. have focused reduction unsupervised methods dictionary on Existing signals for,Existing unsupervised dimensionality reduction methods for graph signals have focused on dictionary learning.,2585
+"Action the boxes. as Machine, inputs person cropped videos The method, by takes bounding called","The method, called Action Machine, takes as inputs the videos cropped by person bounding boxes.",2586
+flexibility. competitive and Results performance improved show,Results show competitive performance and improved flexibility.,2587
+and characteristic regulation is processes intracellular such gene signalling. of as chemical key Stochasticity a,Stochasticity is a key characteristic of intracellular processes such as gene regulation and chemical signalling.,2588
+phenomena. of capture be reacting to able stochastic must biochemically Mathematical idealisations systems,Mathematical idealisations of biochemically reacting systems must be able to capture stochastic phenomena.,2589
+decades. been research These challenges for of active over four have computational subjects,These computational challenges have been subjects of active research for over four decades.,2590
+implementations. are MATLAB methods with Detailed and algorithms particularly for complemented described important,Detailed algorithms for particularly important methods are described and complemented with MATLAB implementations.,2591
+a Machine transferred extracted classification. Features and to Support are for Vector Linear,Features are extracted and transferred to a Linear Support Vector Machine for classification.,2592
+available and datasets are as performed All JAFFE such CK+ publicly two database. on experiments,All experiments are performed on two publicly available datasets such as JAFFE and CK+ database.,2593
+"saliency information pixel saliency In make contextual to detection, needs every prediction.","In saliency detection, every pixel needs contextual information to make saliency prediction.",2594
+We PiCANets the salient proposed for architecture into object a detection. U-Net introduce,We introduce the proposed PiCANets into a U-Net architecture for salient object detection.,2595
+performance. PiCANets Experimental saliency improve the significantly that can results detection the proposed indicate,Experimental results indicate that the proposed PiCANets can significantly improve the saliency detection performance.,2596
+"Consequently, our model performs favorably other saliency against methods. state-of-the-art","Consequently, our saliency model performs favorably against other state-of-the-art methods.",2597
+contributions. three upon Our builds main approach,Our approach builds upon three main contributions.,2598
+updates and Our set model re-ID iteratively. the learns annotation method the,Our method learns the re-ID model and updates the annotation set iteratively.,2599
+"simple, proposed three method being the effectiveness its demonstrates datasets. person While re-ID on video-based","While being simple, the proposed method demonstrates its effectiveness on three video-based person re-ID datasets.",2600
+the core of Minimally linkages frustrated highlight folding molecule. stable the,Minimally frustrated linkages highlight the stable folding core of the molecule.,2601
+artists Deep to and tool becoming generation designers creativity a image is enhance potential.,Deep image generation is becoming a tool to enhance artists and designers creativity potential.,2602
+advantages presents convolutional This of used compared the number a to commonly architectures. network,This presents a number of advantages compared to the commonly used convolutional network architectures.,2603
+"(depth, etc.) flow, learning geometric for optical Unsupervised perception","Unsupervised learning for geometric perception (depth, optical flow, etc.)",2604
+to interest great autonomous is systems. of,is of great interest to autonomous systems.,2605
+"are robust, which learning large In dataset. supervised contrast, labeled geometric require algorithms,","In contrast, supervised learning algorithms, which are robust, require large labeled geometric dataset.",2606
+atrial of fibrillation. volume left MR ablation benefit the procedure can segmenting Accurately atrium in,Accurately segmenting left atrium in MR volume can benefit the ablation procedure of atrial fibrillation.,2607
+labor-intensive often experts automated in Traditional manual relieving labeling. solutions the from fail,Traditional automated solutions often fail in relieving experts from the labor-intensive manual labeling.,2608
+"a of training competitive the to scheme we further Finally, ability networks. generalization boost devise","Finally, we devise a competitive training scheme to further boost the generalization ability of networks.",2609
+to demonstrate We model's also ability the our rank-aware of video. parts to attend,We also demonstrate our model's ability to attend to rank-aware parts of the video.,2610
+"complicated design hardware the for is implementation. and joint inappropriate However,","However, the joint design is complicated and inappropriate for hardware implementation.",2611
+"implementation-friendly orthogonal structure. optimal modulation, LMMSE For has an receiver the","For orthogonal modulation, the optimal LMMSE receiver has an implementation-friendly structure.",2612
+left of localized atrium firstly automatically by region detection The module. a is,The region of left atrium is firstly automatically localized by a detection module.,2613
+with scheme. obtained Further improvement recursive is training an,Further improvement is obtained with an recursive training scheme.,2614
+"introduced With to all studies, be effective. the ablation prove modules","With ablation studies, all the introduced modules prove to be effective.",2615
+"not since feasible is can in size. be petabytes datasets analysis However, manual","However, manual analysis is not feasible since datasets can be petabytes in size.",2616
+"process samples. training sampling, Such resulting stimulates balanced negative more in hard","Such process stimulates hard negative sampling, resulting in more balanced training samples.",2617
+"the more distinguishing background Consequently, discriminative RPNs (i.e., distractors). are sequentially in difficult similar","Consequently, the RPNs are sequentially more discriminative in distinguishing difficult background (i.e., similar distractors).",2618
+function. the is with trained multi-task end-to-end loss C-RPN,C-RPN is trained end-to-end with the multi-task loss function.,2619
+"adaption, is inference, tracking. In it without C-RPN as real-time deployed any for is, temporal","In inference, C-RPN is deployed as it is, without any temporal adaption, for real-time tracking.",2620
+"of results various have learning fields approaches in vision. computer promising Recently, achieved deep","Recently, deep learning approaches have achieved promising results in various fields of computer vision.",2621
+"challenging is applications Nowadays, task VCO high for a different engineers. for performance a designing","Nowadays, designing a high performance VCO for different applications is a challenging task for engineers.",2622
+of friends everyday Millions perform and impaired to visually depend tasks. on relatives people their,Millions of visually impaired people depend on relatives and friends to perform their everyday tasks.,2623
+and is available Pay free. Play for App publicly Voice on Store Google,Pay Voice is publicly available on Google Play and App Store for free.,2624
+Social relationships of humans. basis social the structure of form,Social relationships form the basis of social structure of humans.,2625
+"the in problem recognition study images. we social this work, of In visual relationship","In this work, we study the problem of visual social relationship recognition in images.",2626
+frequencies. in One obstacle Theory to its applying relationship is Dempster-Shafer important (DST),One important obstacle in applying Dempster-Shafer Theory (DST) is its relationship to frequencies.,2627
+"particular, belief difficulties in functions factorizations of from In serious data. finding exist there","In particular, there exist serious difficulties in finding factorizations of belief functions from data.",2628
+difficulty. attempt a is this overcome to In made novel this paper,In this paper a novel attempt is made to overcome this difficulty.,2629
+environment. due a to appearance and unconstrained dynamic is variations problem complex Tracking Visual,Visual Tracking is a complex problem due to unconstrained appearance variations and dynamic environment.,2630
+accidents remain of and issues driving. important of road traffic autonomous decline Safety,Safety and decline of road traffic accidents remain important issues of autonomous driving.,2631
+of evaluated. segmentation model and We are usability is presented using the is color-based the,We are using color-based segmentation is presented and the usability of the model is evaluated.,2632
+to A refinement residual-based is Adam performance. state-of-art boundary achieve used optimization and also,A residual-based boundary refinement and Adam optimization is also used to achieve state-of-art performance.,2633
+it in world. get real We propose framework work a to,We propose a framework to get it work in real world.,2634
+because photography enjoy appreciate food. People food they,People enjoy food photography because they appreciate food.,2635
+models available. and We publicly make code,We make code and models publicly available.,2636
+(ZSL) its to Zero-shot learning see the without a solving need enables examples. task,Zero-shot learning (ZSL) enables solving a task without the need to see its examples.,2637
+mutual can without supervision. inter-connected synthesizers trained are two end-to-end as The be which references,The two synthesizers are inter-connected as mutual references which can be trained end-to-end without supervision.,2638
+SF-GAN. Qualitative demonstrate superiority state-of-the-art the of proposed quantitative the and the comparisons with,Qualitative and quantitative comparisons with the state-of-the-art demonstrate the superiority of the proposed SF-GAN.,2639
+only the overcomes negative bags. using It the limitations voting of,It overcomes the limitations of voting using only the negative bags.,2640
+beyond Experimental superiority demonstrate our the scheme baselines. of results the,Experimental results demonstrate the superiority of our scheme beyond the baselines.,2641
+of The are three-fold. this contributions work,The contributions of this work are three-fold.,2642
+"of performance consolidated If help approaches? current multiple samples actions can from improve so, the","If so, can consolidated samples from multiple actions help improve the performance of current approaches?",2643
+brain in often test used test an is The procedure permutation imaging.,The permutation test is an often used test procedure in brain imaging.,2644
+effectiveness results the demonstrated method. of Experimental have our,Experimental results have demonstrated the effectiveness of our method.,2645
+in with motor control disease enhance Parkinson's shown to has Music (PD). patients been,Music has been shown to enhance motor control in patients with Parkinson's disease (PD).,2646
+perception and movement its music improve PD? associating Would to in control,Would associating music to movement improve its perception and control in PD?,2647
+The validation in PD of patients. method underway is handwriting for a such,The validation of such a method is underway for handwriting in PD patients.,2648
+rely also milder approach on assumptions that difference-in-discontinuities are the fuzzy Modifications of proposed.,Modifications of the fuzzy difference-in-discontinuities approach that rely on milder assumptions are also proposed.,2649
+be machines on question the whether This paper rational. studies can,This paper studies the question on whether machines can be rational.,2650
+of machines. humans are transferred It to the of these studies limitations whether limitations,It studies whether these limitations of humans are transferred to the limitations of machines.,2651
+humans. It that than also machines more can concludes be rational,It also concludes that machines can be more rational than humans.,2652
+use The saturation algorithm for personal algorithm temperature (NIPST) comparisons. was partly,The partly personal saturation temperature (NIPST) algorithm was use for algorithm comparisons.,2653
+(DL) also generated SSI deep algorithm was learning for without Another algorithm comparisons.,Another deep learning algorithm without SSI (DL) was also generated for algorithm comparisons.,2654
+superiority and effectiveness approach. of our the results Extensive validate,Extensive results validate the effectiveness and superiority of our approach.,2655
+be public upon acceptance. will paper Code made,Code will be made public upon paper acceptance.,2656
+quantifies in the model. a of sensitivity variables uncertain influence analysis mathematical Global (GSA),Global sensitivity analysis (GSA) quantifies the influence of uncertain variables in a mathematical model.,2657
+be typically knowledge. This distribution must chosen limited and is unknown using and/or data,This distribution is typically unknown and must be chosen using limited data and/or knowledge.,2658
+of uncertainty. indices their robustness Sobol' to the depends The this usefulness distributional on,The usefulness of the Sobol' indices depends on their robustness to this distributional uncertainty.,2659
+contaminant transport. illustrated through The for and a method synthetic is examples model,The method is illustrated through synthetic examples and a model for contaminant transport.,2660
+optimization a layer-by-layer Most in obtained mode. results of are state-of-the-art,Most of state-of-the-art results are obtained in a layer-by-layer optimization mode.,2661
+our and evaluations superior accuracy of comparisons show The and method. effectiveness,The evaluations and comparisons show superior effectiveness and accuracy of our method.,2662
+"of edges lead blurred plausible due to losses averaging to minimizing Unfortunately, solutions. these inevitably","Unfortunately, minimizing these losses inevitably lead to blurred edges due to averaging of plausible solutions.",2663
+"sharp our Qualitatively, other proposed methods. compared with state-of-the-art method yielded edges to SR images","Qualitatively, our proposed method yielded images with sharp edges compared to other state-of-the-art SR methods.",2664
+Scene has research text increased community. the in attention recognition received,Scene text recognition has received increased attention in the research community.,2665
+progressively to text performance. recognition calibrates The boost RCN the irregular the,The RCN progressively calibrates the irregular text to boost the recognition performance.,2666
+"way, preserved original transformation. the this character information final In the is until","In this way, the original character information is preserved until the final transformation.",2667
+designs succeeding the results Such performance recognition. lead optimal to of to boost calibration,Such designs lead to optimal calibration results to boost the performance of succeeding recognition.,2668
+"superiority our method, the on challenging benchmarks. demonstrate Extensive irregular datasets on experiments especially of","Extensive experiments on challenging datasets demonstrate the superiority of our method, especially on irregular benchmarks.",2669
+"Chinese (TCM), diagnosis In basis are facial Traditional features important Medicine treatment. and for","In Traditional Chinese Medicine (TCM), facial features are important basis for diagnosis and treatment.",2670
+works and to analyze according prescription generate symptoms. Previous,Previous works analyze and generate prescription according to symptoms.,2671
+challenging is job. a novel and It,It is a novel and challenging job.,2672
+much Comparison state-of-the-art. PointNetVLAD LPD-Net results reaches is better show the that and than our,Comparison results show that our LPD-Net is much better than PointNetVLAD and reaches the state-of-the-art.,2673
+"occlusion, blur, to variations address synthetic customized We (scale, types specific datasets etc. pose, of","We customized synthetic datasets to address specific types of variations (scale, pose, occlusion, blur, etc.",2674
+"performances. systematically investigate detection influence the different on and ), of face variations","), and systematically investigate the influence of different variations on face detection performances.",2675
+detection these contribute to better how and whether factors examine face performances. We,We examine whether and how these factors contribute to better face detection performances.,2676
+Edge-preserving computer is applications. vision fundamental for procedure many graphic a and smoothing,Edge-preserving smoothing is a fundamental procedure for many computer vision and graphic applications.,2677
+This achieved methods. with be methods either or global can local,This can be achieved with either local methods or global methods.,2678
+"global performance over most can methods superior cases, ones. In yield local","In most cases, global methods can yield superior performance over local ones.",2679
+"ones. global than However, run local much usually faster methods","However, local methods usually run much faster than global ones.",2680
+can proposed method The global method. show with performance comparable the state-of-the-art,The proposed method can show comparable performance with the state-of-the-art global method.,2681
+to can further more They applications. be modified handle,They can be further modified to handle more applications.,2682
+"extracted expression-related features Then, from nodes. leaf are","Then, expression-related features are extracted from leaf nodes.",2683
+networks successful variety prediction been have a of tasks. Deep neural (DNNs) enormously across,Deep neural networks (DNNs) have been enormously successful across a variety of prediction tasks.,2684
+in real-time security-sensitive systems. This widely makes deployable Defense-VAE,This makes Defense-VAE widely deployable in real-time security-sensitive systems.,2685
+proposed two the of the on datasets. RGB-D We publicly effectiveness demonstrate available network,We demonstrate the effectiveness of the proposed network on two publicly available RGB-D datasets.,2686
+"not well cross-modality been during between However, coherence and audio synthesis. information addressed video has","However, cross-modality coherence between audio and video information has not been well addressed during synthesis.",2687
+perception describing phenomena surrounding neuro-physiological We contrast induced a by differential orientations. model consider,We consider a differential model describing neuro-physiological contrast perception phenomena induced by surrounding orientations.,2688
+different detection we algorithms. representation this With LiDAR-based can existing apply,With this representation we can apply different existing LiDAR-based detection algorithms.,2689
+"paper present scenario, different In we model a this building.","In this paper we present a different scenario, model building.",2690
+"model contrast underlying i.e. the to In algorithm, usage","In contrast to model usage the underlying algorithm, i.e.",2691
+"parameters associated also changes therefore and the underlying model, change. the","the underlying model, changes and therefore the associated parameters also change.",2692
+to features. quantify objective is important these it Therefore that measures find,Therefore it is important to find objective measures that quantify these features.,2693
+analysis parameter input output sampling the by an space. Our based on set generated is,Our analysis is based on an output set generated by sampling the input parameter space.,2694
+an present Hence techniques analyze ensemble metrics we probabilistic also of volumes. and to,Hence we also present techniques and metrics to analyze an ensemble of probabilistic volumes.,2695
+guidance. the rely the to on provide user as image annotations algorithms Interactive segmentation,Interactive image segmentation algorithms rely on the user to provide annotations as the guidance.,2696
+sparsity the of query diversity selection on We the criteria enforce the and seeds.,We enforce the sparsity and diversity criteria on the selection of the query seeds.,2697
+algorithm our publicly performance available six The of evaluated datasets. on is,The performance of our algorithm is evaluated on six publicly available datasets.,2698
+"trajectories representation form. introduce a high level we gradient object using of First, color","First, we introduce a high level representation of object trajectories using color gradient form.",2699
+Stochastic t-Distributed Neighbor are Anomalous trajectories (t-SNE). Embedding separated using,Anomalous trajectories are separated using t-Distributed Stochastic Neighbor Embedding (t-SNE).,2700
+"has for been a hybrid trajectory and detection. architecture used CNN-VAE anomaly classification Finally,","Finally, a hybrid CNN-VAE architecture has been used for trajectory classification and anomaly detection.",2701
+TX the distances were horizontal RXs Different the and between used measurements. in vertical and,Different horizontal and vertical distances between the RXs and TX were used in the measurements.,2702
+input. faithful the to the It makes reconstruction,It makes the reconstruction faithful to the input.,2703
+helps loss to multiple from solutions. most plausible appearance select Adversarial the,Adversarial loss helps to select the most plausible appearance from multiple solutions.,2704
+a incentives. positive and of mix negative work experiment entails This,This experiment entails a mix of positive and negative work incentives.,2705
+for supply evidence provide report I methods theoretical can CML the that predictions. support labor,I report evidence that CML methods can provide support for the theoretical labor supply predictions.,2706
+the is Mixture forthcoming This Analysis'. a 'Handbook for of prepared chapter,This is a chapter prepared for the forthcoming 'Handbook of Mixture Analysis'.,2707
+ability Continual improve of capacities to throughout is continually. the tasks their learning agents multiple,Continual learning is the ability of agents to improve their capacities throughout multiple tasks continually.,2708
+mentioning. agent worth features are our Two critical of,Two critical features of our agent are worth mentioning.,2709
+"not from our any Firstly, agent did learn demonstrations.","Firstly, our agent did not learn from any demonstrations.",2710
+in paper systems. receive multiple-input (MIMO) massive antenna selection multiple-output studies This,This paper studies receive antenna selection in massive multiple-input multiple-output (MIMO) systems.,2711
+"the nuclei Additionally, clustered together. of are some often","Additionally, some of the nuclei are often clustered together.",2712
+to on demonstrate methods We independent multi-tissue state-of-the-art histology multiple image performance compared datasets. other,We demonstrate state-of-the-art performance compared to other methods on multiple independent multi-tissue histology image datasets.,2713
+has area. In recent tracking research years object very become active visual a,In recent years visual object tracking has become a very active research area.,2714
+being of proposed each algorithms An increasing tracking are number year.,An increasing number of tracking algorithms are being proposed each year.,2715
+comprises first The survey trackers. the comprehensive recently proposed work of a part of this,The first part of this work comprises a comprehensive survey of the recently proposed trackers.,2716
+Non-CFTs. Trackers We and broadly categorize Correlation trackers based into (CFTs) Filter,We broadly categorize trackers into Correlation Filter based Trackers (CFTs) and Non-CFTs.,2717
+Our others. the concludes Discriminative based than better Filter Correlation trackers that (DCF) perform study,Our study concludes that Discriminative Correlation Filter (DCF) based trackers perform better than the others.,2718
+Two been proposed explain of types have mechanisms this to conundrum.,Two types of mechanisms have been proposed to explain this conundrum.,2719
+"currents. Unexpectedly, the timescale network in not adaptive do inherit dynamics large macroscopic present the","Unexpectedly, the macroscopic network dynamics do not inherit the large timescale present in adaptive currents.",2720
+is semantic auxiliary for task as navigation. applied segmentation Image an,Image semantic segmentation is applied as an auxiliary task for navigation.,2721
+by an to module optical introducing information network. consider We and LSTM flow temporal the,We consider temporal information by introducing an LSTM module and optical flow to the network.,2722
+"with combine kinematics we Finally, a vehicle sensor step. fusion","Finally, we combine vehicle kinematics with a sensor fusion step.",2723
+segmentation in Errors propagate stages. to later,Errors in segmentation propagate to later stages.,2724
+to segmentation are approaches specific Current tuned environments.,Current segmentation approaches are tuned to specific environments.,2725
+using convolution We iris propose for neural a segmentation. network,We propose using a convolution neural network for iris segmentation.,2726
+accurate algorithm multiple when a is environments. environment single tested trained Our and in in,Our algorithm is accurate when trained in a single environment and tested in multiple environments.,2727
+Our the network. previous R-CNN including approaches segments faster Mask than approach,Our approach segments faster than previous approaches including the Mask R-CNN network.,2728
+Alzheimer's remains of disease relation be Their to to studied. markers pathophysiological,Their relation to pathophysiological markers of Alzheimer's disease remains to be studied.,2729
+"applications we in Then, widespread remote sensing. provide an of the overview UAVs of","Then, we provide an overview of the widespread applications of UAVs in remote sensing.",2730
+"work for Finally, prospects are discussed. some future","Finally, some prospects for future work are discussed.",2731
+awareness systems driving is A changing situational environments. enabling in dynamically for critical requirement automated,A critical requirement for automated driving systems is enabling situational awareness in dynamically changing environments.,2732
+solution A possible infrastructure. by is adopt collaborative assisted possibly amongst vehicles sensing to,A possible solution is to adopt collaborative sensing amongst vehicles possibly assisted by infrastructure.,2733
+analysis new performance for This networking. vehicular collaborative introduces paper and and models sensing,This paper introduces new models and performance analysis for vehicular collaborative sensing and networking.,2734
+phase noise in (NLPN) systems. nonlinear multi-subcarrier correlated We explore,We explore correlated nonlinear phase noise (NLPN) in multi-subcarrier systems.,2735
+Our of texture task the investigation using feasibility proves accomplishing attributes. this,Our investigation proves the feasibility of accomplishing this task using texture attributes.,2736
+"associated disadvantages advantages and study, also attribute. Through the each we with identify","Through the study, we also identify advantages and disadvantages associated with each attribute.",2737
+"an performance GenHap of HapCol, We compared state-of-the-art algorithm haplotype the for against phasing. efficient","We compared the performance of GenHap against HapCol, an efficient state-of-the-art algorithm for haplotype phasing.",2738
+"we real assessed performance two datasets. the GenHap on Finally, of different","Finally, we assessed the performance of GenHap on two different real datasets.",2739
+"color each independently. Traditionally, channel image performed interpolation warping is in color","Traditionally, color image warping interpolation is performed in each color channel independently.",2740
+method our efficiency The validated extensive effectiveness of by are experiments. and,The effectiveness and efficiency of our method are validated by extensive experiments.,2741
+similar to maps The latent deformations an close encoding each other variable in space. model,The latent variable model maps similar deformations close to each other in an encoding space.,2742
+inference. variational on based Our unsupervised method is,Our unsupervised method is based on variational inference.,2743
+a also as that regularization We filters. diffusion-based spatial such formulation present includes,We also present a formulation that includes spatial regularization such as diffusion-based filters.,2744
+"velocity Additionally, estimations. multi-scale field provides framework our","Additionally, our framework provides multi-scale velocity field estimations.",2745
+algorithms gains medical performance deep classification enabled significant have in learning Supervised tasks. image,Supervised deep learning algorithms have enabled significant performance gains in medical image classification tasks.,2746
+that on annotation. expert these methods rely require labeled large resource-intensive datasets But,But these methods rely on large labeled datasets that require resource-intensive expert annotation.,2747
+"implicitly method Further, interpretation the SSL enables predictions. of our","Further, our method implicitly enables interpretation of the SSL predictions.",2748
+generative (GANs). a We for paradigm present training learning stage-wise new adversarial networks,We present a new stage-wise learning paradigm for training generative adversarial networks (GANs).,2749
+this call method proposed the RankGAN. We,We call this proposed method the RankGAN.,2750
+propose discriminator. GAN We first for margin-based loss the a,We first propose a margin-based loss for the GAN discriminator.,2751
+often are point process the in Imperfection noise. clouds acquisition corrupted means that with,Imperfection in the acquisition process means that point clouds are often corrupted with noise.,2752
+blue alternately. optimize coordinates red the then We and nodes',We then optimize the red and blue nodes' coordinates alternately.,2753
+methods local performance our proposed among denoising algorithms. state-of-the-art show using experiments Extensive,Extensive experiments show state-of-the-art denoising performance among local methods using our proposed algorithms.,2754
+"remove method present paper, rain we In efficient to an this streaks.","In this paper, we present an efficient method to remove rain streaks.",2755
+hence representation. Cortical measures spherical in modeled be neuroimaging can,Cortical neuroimaging measures hence can be modeled in spherical representation.,2756
+Free and is frames assumed. pattern of uncontrolled) (unrestricted between motion,Free (unrestricted and uncontrolled) pattern of motion between frames is assumed.,2757
+"In made been deep recent strides tremendous learning. in thanks detection face have to year,","In recent year, tremendous strides have been made in face detection thanks to deep learning.",2758
+"faces the as smaller. become face dramatically published detectors However, deteriorate most","However, most published face detectors deteriorate dramatically as the faces become smaller.",2759
+"to Third, in multi-scale detection strategy performance enhance face and practice. testing training we use","Third, we use multi-scale training and testing strategy to enhance face detection performance in practice.",2760
+"detection performance, show significantly that SFA experiments especially faces. face on small improves Comprehensive","Comprehensive experiments show that SFA significantly improves face detection performance, especially on small faces.",2761
+available models will code community. Both research our and be to the,Both our code and models will be available to the research community.,2762
+"The developed was (Gorban basic purposeful recently of Ecol. and kinesis Cabukoglu, model","The basic model of purposeful kinesis was developed recently (Gorban and Cabukoglu, Ecol.",2763
+increasing. coefficient model the drops the diffusion this reproduction is According while to,According to this model the diffusion drops while the reproduction coefficient is increasing.,2764
+"impact model of kinesis waves. purposeful this running In study, the we analyse the on","In this study, we analyse the impact of the purposeful kinesis model on running waves.",2765
+with waves kinesis running experiments. in studied using numerical the population are The,The running waves in the population with kinesis are studied using numerical experiments.,2766
+"prey the is the the gets population decreasing, wave While amplitude smaller. of kinesis","While the kinesis of the prey population is decreasing, the wave amplitude gets smaller.",2767
+"On sharp the other for kinesis increase. lower hand, predators of have the they a","On the other hand, for the lower kinesis of predators they have a sharp increase.",2768
+"refined work, simultaneously body were training and PAFs stages. previous location across In part estimation","In previous work, PAFs and body part location estimation were refined simultaneously across training stages.",2769
+clip. in video when a given and objects tremendously interact challenging It becomes multiple occur,It becomes tremendously challenging when multiple objects occur and interact in a given video clip.,2770
+dependencies video spatial-temporal DOA capturing in sequences consistency from frames. background adjacent models by,DOA models spatial-temporal consistency in video sequences by capturing background dependencies from adjacent frames.,2771
+state-of-the-art on convolutional the various demonstrated networks Deep computing image tasks. medical have performance,Deep convolutional networks have demonstrated the state-of-the-art performance on various medical image computing tasks.,2772
+the for modalities same analysis holds images from Leveraging task clinical benefits. different,Leveraging images from different modalities for the same analysis task holds clinical benefits.,2773
+The with excellent experimental demonstrate efficacy the studies PnP-AdaNet. proposed comprehensive ablation of our results,The experimental results with comprehensive ablation studies demonstrate the excellent efficacy of our proposed PnP-AdaNet.,2774
+upper and adjacent We with distance limit elements between lower the every thresholds. two predefined,We limit the distance between every two adjacent elements with predefined upper and lower thresholds.,2775
+"in can these kdPCA recover still components examples. interpretable However,","However, kdPCA can still recover interpretable components in these examples.",2776
+"populations I during Finally, using of examples two decision-making kdPCA perceptual tasks. demonstrate neural recorded","Finally, I demonstrate kdPCA using two examples of neural populations recorded during perceptual decision-making tasks.",2777
+problem optimum in considers of paper the reconstruction (GSRPs). This generalized processes sampling-reconstruction,This paper considers the problem of optimum reconstruction in generalized sampling-reconstruction processes (GSRPs).,2778
+one of Cross-database and emerging micro-expression micro-expression interesting analysis. in is problem (CDMER) recently recognition,Cross-database micro-expression recognition (CDMER) is one of recently emerging and interesting problem in micro-expression analysis.,2779
+"paper, contribute we this In aspects. from three to this topic","In this paper, we contribute to this topic from three aspects.",2780
+regression classification forest is and random the these techniques One approach. of,One of these classification and regression techniques is the random forest approach.,2781
+scalability. are best for predictors tree Those decision good their computational known based performance and,Those decision tree based predictors are best known for their good computational performance and scalability.,2782
+"proposed. a In work, this WEKA random is balanced forest approach for","In this work, a balanced random forest approach for WEKA is proposed.",2783
+cumbersome process. is and inefficient This a,This is a cumbersome and inefficient process.,2784
+"needs be once FNN to proposed trained only method. the paper, this In with","In this paper, FNN only needs to be trained once with the proposed method.",2785
+quality the of the determines overall performance. rain detection An accurate streaks of,An accurate detection of rain streaks determines the quality of the overall performance.,2786
+method effectiveness We quantitative and validate qualitative of evaluations. through the our,We validate the effectiveness of our method through quantitative and qualitative evaluations.,2787
+our make dataset will code publicly and available. We,We will make our dataset and code publicly available.,2788
+dictionary Standard due MRF to lacks computational reconstructs using maps parametric inefficiency. matching scalability and,Standard MRF reconstructs parametric maps using dictionary matching and lacks scalability due to computational inefficiency.,2789
+"dictionary-matching based reduced addition, approaches. time significantly In reconstruction compared is to the","In addition, the reconstruction time is significantly reduced compared to dictionary-matching based approaches.",2790
+underneath is in base common void defect roads. semi-rigid a The,The void underneath semi-rigid base is a common defect in roads.,2791
+blur motion remove in event is attempt to motion to any used image. the This,This motion is used to attempt to remove any motion blur in the event image.,2792
+inference inverted order in processes. models gain against to are modeled on observations Mechanistic simulation,Mechanistic simulation models are inverted against observations in order to gain inference on modeled processes.,2793
+"discrepancies, model This i.e. in mismatch results","This mismatch results in model discrepancies, i.e.",2794
+and predictions. systematic observations differences between model,systematic differences between observations and model predictions.,2795
+"When properly, accounted discrepancies for uncertainty are is posterior not underestimated.","When discrepancies are not accounted for properly, posterior uncertainty is underestimated.",2796
+need the impedes This be of process identification to formulations weak improved. that,This impedes the identification of weak process formulations that need to be improved.,2797
+identified approach discrepancy GP in streams. correctly model The data rich,The GP approach correctly identified model discrepancy in rich data streams.,2798
+successful to several sampling data Innovations records. application of thousand allowed observation in streams,Innovations in sampling allowed successful application to observation data streams of several thousand records.,2799
+"formulation be proposed Moreover, optimization. could the new with gradient-based combined","Moreover, the proposed new formulation could be combined with gradient-based optimization.",2800
+"address data two develop we augmentation techniques. issue, this To","To address this issue, we develop two data augmentation techniques.",2801
+The other drone methodology create augmentation images. adversarial data to is exploiting thermal an,The other is exploiting an adversarial data augmentation methodology to create thermal drone images.,2802
+"the To between we image drone, track residual a information small frames. consecutive flying utilize","To track a small flying drone, we utilize the residual information between consecutive image frames.",2803
+to developed clustering agglomerative then Our hierarchical comparing validated clustering. mathematical is algorithm by morphology-based,Our developed mathematical morphology-based clustering algorithm is then validated by comparing to agglomerative hierarchical clustering.,2804
+"inverters some capacities practical applications. different may power available source be cascaded in of However,","However, available source power capacities of cascaded inverters may be different in some practical applications.",2805
+"autonomous consistency achieve control power is phase to proposed a voltage Moreover, synchronization. factor","Moreover, a power factor consistency control is proposed to achieve autonomous voltage phase synchronization.",2806
+cascaded illustrated. are analysis and The of inverters synchronization mechanism steady-state,The steady-state analysis and synchronization mechanism of cascaded inverters are illustrated.,2807
+control is The effectiveness the tested by proposed experiments. of,The effectiveness of the proposed control is tested by experiments.,2808
+images. same the two and identity) mismatched,the same identity) and two mismatched images.,2809
+all that have (CSPs) Problems typically many Satisfaction solutions Constraint satisfy constraints.,Constraint Satisfaction Problems (CSPs) typically have many solutions that satisfy all constraints.,2810
+"some are though, solutions is, that solutions. Often preferred over some other dominate solutions others,","Often though, some solutions are preferred over others, that is, some solutions dominate other solutions.",2811
+solution We reason formal as such a settings. framework present dominance about to,We present solution dominance as a formal framework to reason about such settings.,2812
+"Inter-organ but spatial, only and are not functional also relations physiological.","Inter-organ relations are not only spatial, but also functional and physiological.",2813
+first the k- constrained error evaluate of without We means technique coding. performance clustering,We first evaluate the error performance of k- means clustering technique without constrained coding.,2814
+fractures radius common fractures are most upper of Distal in the the humans. extremity,Distal radius fractures are the most common fractures of the upper extremity in humans.,2815
+is the radiologists. more detection This significantly physicians accurate and achieved by than,This is significantly more accurate than the detection achieved by physicians and radiologists.,2816
+"singly the have domain been to shifting spatial investigated. to networks), or complexity connected","to singly connected networks), or shifting the complexity to spatial domain have been investigated.",2817
+"limited the is optics by physically characteristics. and resolution sensor However,","However, resolution is physically limited by the optics and sensor characteristics.",2818
+"of In the addition, or practical use hardware. and out-dated reasons often low-cost stipulate economic","In addition, practical and economic reasons often stipulate the use of out-dated or low-cost hardware.",2819
+frames to algorithms high-resolution Multi-frame multiple images. task this fusing reconstruct by approach low-resolution,Multi-frame algorithms approach this task by fusing multiple low-resolution frames to reconstruct high-resolution images.,2820
+along new This medical imaging. with work novel applications covers in super-resolution methods,This work covers novel super-resolution methods along with new applications in medical imaging.,2821
+our with Practical provided. theory compatible asymptotic are also choices penalty,Practical penalty choices compatible with our asymptotic theory are also provided.,2822
+requiring proposed for inference allow valid The property. without estimator oracle,The proposed estimator allow for valid inference without requiring oracle property.,2823
+use image prior content and to It cameras does not synchronizes capture.,It does not use image content and synchronizes cameras prior to capture.,2824
+Analytics technologies be and categorised broadly could Artificial into (AI) Autonomy. Intelligence,Artificial Intelligence (AI) technologies could be broadly categorised into Analytics and Autonomy.,2825
+"Analytics knowledge algorithms of projection from gleaned on offering and perception, focuses comprehension, sensorial data.","Analytics focuses on algorithms offering perception, comprehension, and projection of knowledge gleaned from sensorial data.",2826
+"around influencing shaping through the and action production. and environment revolves making, Autonomy decision","Autonomy revolves around decision making, and influencing and shaping the environment through action production.",2827
+"To that requires be useful, must be trusted SAS and testing.","To be useful, SAS must be trusted and that requires testing.",2828
+a SAS Lifelong learning the testing process. compounds of,Lifelong learning of a SAS compounds the testing process.,2829
+"of the The to extends cons and pros, proposed concept. the challenges, discussion","The discussion extends to the challenges, pros, and cons of the proposed concept.",2830
+pattern popular Deep nowadays vision recognition computer becoming in many networks tasks. are and,Deep networks are nowadays becoming popular in many computer vision and pattern recognition tasks.,2831
+"of the in kernel computation issue we paper, deep networks. this address efficient In","In this paper, we address the issue of efficient computation in deep kernel networks.",2832
+these kernels. deep that a dramatically complexity the novel evaluating framework reduces of propose We,We propose a novel framework that reduces dramatically the complexity of evaluating these deep kernels.,2833
+paper image presents boundary. This for technique smoothing digital iterative an of approximation polygonal,This paper presents an iterative smoothing technique for polygonal approximation of digital image boundary.,2834
+initial The points finest of a starts curve. technique with segmentation,The technique starts with finest initial segmentation points of a curve.,2835
+images training large a Annotating time-consuming. is of number very,Annotating a large number of training images is very time-consuming.,2836
+"noisy Conventionally, the looks correcting web community to samples. informative select to labels the","Conventionally, the community looks to correcting the noisy web labels to select informative samples.",2837
+two of distributions the different between data. data kinds,different data distributions between the two kinds of data.,2838
+then Our the registration follows fusion. method pipeline and first of,Our method follows the pipeline of first registration and then fusion.,2839
+which People unknown. or frequently uncertain outcomes challenging are face problems decision-making in,People frequently face challenging decision-making problems in which outcomes are uncertain or unknown.,2840
+(AI) tasks. exist intelligence algorithms can humans such learning at outperform that Artificial,Artificial intelligence (AI) algorithms exist that can outperform humans at learning such tasks.,2841
+beat We isolation. both can in human team performance agent and find that performance,We find that team performance can beat both human and agent performance in isolation.,2842
+uninterrupted behavior systems by sequences neuronal display Many cascading neural characterized of firing.,Many neural systems display cascading behavior characterized by uninterrupted sequences of neuronal firing.,2843
+"that we networks. as Moreover, and structural in cycles such dynamic prevalent motifs observe are","Moreover, we observe cycles as structural and dynamic motifs that are prevalent in such networks.",2844
+"model, this derivations of first-principles However, various is expectation. this with none among consistent","However, among various first-principles derivations of this model, none is consistent with this expectation.",2845
+are derived Two assumptions. modified Hassell additional some models under,Two additional Hassell models are derived under some modified assumptions.,2846
+"few learn novel just by examples. recognize contrast, a to from categories Humans, can","Humans, by contrast, can learn to recognize novel categories from just a few examples.",2847
+"preventable, the leading of cause is irreversible blindness Glaucoma world-wide.","Glaucoma is the leading cause of preventable, irreversible blindness world-wide.",2848
+Glaucoma recommended and is screening detection for treatment. early,Glaucoma screening is recommended for early detection and treatment.,2849
+We densely aligned a re-identification person framework. propose semantically,We propose a densely semantically aligned person re-identification framework.,2850
+vague other participants found to hard explanation generalize and feature instances. The to importance-based it,The participants found feature importance-based explanation vague and hard to generalize it to other instances.,2851
+problem. original optimization The is into combinatorial problem a formulated,The original problem is formulated into a combinatorial optimization problem.,2852
+proposed demonstrate is Experimental solutions. known results best method the to that able efficiently find,Experimental results demonstrate that the proposed method is able to efficiently find best known solutions.,2853
+compared with results visual block the from statistics inspection. The analysis from were automatic,The results from the automatic analysis were compared with block statistics from visual inspection.,2854
+studied genetics. widely a in population recombination Galled model as are trees,Galled trees are widely studied as a recombination model in population genetics.,2855
+into relaxing galled structural networks condition. of by phylogenetic networks This is a class generalized,This class of phylogenetic networks is generalized into galled networks by relaxing a structural condition.,2856
+"learn"" approach to paper figure-ground ""learning segmentation. presents image a to This","This paper presents a ""learning to learn"" approach to figure-ground image segmentation.",2857
+"on issues, HMM based these (WCNN-PHMM). CNN propose a we writer-aware parsimonious To address","To address these issues, we propose a writer-aware CNN based on parsimonious HMM (WCNN-PHMM).",2858
+The technique any problem. transfer applicable learning is to,The technique is applicable to any transfer learning problem.,2859
+of common for authentication a verification an biometric used is Fingerprint individual. and,Fingerprint is a common biometric used for authentication and verification of an individual.,2860
+and of inpainting. denoising from fingerprint extraction The a image the degraded requires,The extraction of the fingerprint from a degraded image requires denoising and inpainting.,2861
+"scheme. selection state conventional First, the antenna we","First, we state the conventional antenna selection scheme.",2862
+outage of terms are system secrecy secrecy probability. and in The rate simulation presented results,The simulation results are presented in terms of system secrecy rate and secrecy outage probability.,2863
+among in chirp coefficients to subcarriers respect subcarriers. analyzed are cross-correlation of Orthogonal characteristics,Orthogonal characteristics of chirp subcarriers are analyzed in respect to cross-correlation coefficients among subcarriers.,2864
+"Moreover, chirp systems. orthogonal developed MCDM transform implement to is (OCT)","Moreover, orthogonal chirp transform (OCT) is developed to implement MCDM systems.",2865
+waveforms and systems architectures. multicarrier advantages have both chirp MCDM of Proposed,Proposed MCDM systems have both advantages of chirp waveforms and multicarrier architectures.,2866
+discussed is Computational detail. proposed in detector complexity our of,Computational complexity of our proposed detector is discussed in detail.,2867
+"perform they However, annotated amount with food best when large (labeled) of trained images.","However, they perform best when trained with large amount of annotated (labeled) food images.",2868
+"problematic volume, impractical. obtained laborious large is expensive, are in because and when they This","This is problematic when obtained in large volume, because they are expensive, laborious and impractical.",2869
+al. Goodfellow We make the training enhancements unsupervised introduced et new by to architecture,We make new enhancements to the unsupervised training architecture introduced by Goodfellow et al.,2870
+paper can computed. studies be This whether rationality,This paper studies whether rationality can be computed.,2871
+expected is biological by physical measured accuracy brain) of model. the or the,physical or biological brain) is measured by the expected accuracy of the model.,2872
+problems. The rationality convex conclusion is optimization be that computed for can reached,The conclusion reached is that rationality can be computed for convex optimization problems.,2873
+networks. propose capillary model blood emergence a the new for of We,We propose a new model for the emergence of blood capillary networks.,2874
+imposed. is capillary the No between connectivity elements,No connectivity between the capillary elements is imposed.,2875
+has radar. communications been communication important field an Over-water wireless of and research,Over-water communication has been an important research field of wireless communications and radar.,2876
+on evaluate the Activity Collective We and datasets. method Volleyball our,We evaluate our method on the Volleyball and Collective Activity datasets.,2877
+periodic In multi action hardly reaction and reality perspective situation. person are activities a in,In reality action and reaction activities are hardly periodic in a multi person perspective situation.,2878
+in highly a-periodic surveillance their complex are Also for detection challenging recognizing system. gestures,Also recognizing their complex a-periodic gestures are highly challenging for detection in surveillance system.,2879
+that challenging. model two operates single is these regimes Training in a simultaneously,Training a single model that operates in these two regimes simultaneously is challenging.,2880
+"offers view Notably, zero-shot developing for models. new COSMO a","Notably, COSMO offers a new view for developing zero-shot models.",2881
+detecting simultaneously. are They of adversarial and correctly classifying examples incapable,They are incapable of detecting and correctly classifying adversarial examples simultaneously.,2882
+innovative AFG image is and for adversarial both example. an encoding,AFG is an innovative encoding for both image and adversarial example.,2883
+group and consists features It label. of mixed a,It consists of group features and a mixed label.,2884
+"important applications. video for (ReID) in re-identification is computer an Person vision, especially problem surveillance","Person re-identification (ReID) is an important problem in computer vision, especially for video surveillance applications.",2885
+"become triplet framework a Recently, learning ReID. with common loss have for deep person networks","Recently, deep learning networks with triplet loss have become a common framework for person ReID.",2886
+"on focuses triplet obtaining orders correct However, on set. loss the training","However, triplet loss focuses on obtaining correct orders on the training set.",2887
+that a inferior clustering it performs task. in We demonstrate,We demonstrate that it performs inferior in a clustering task.,2888
+with estimation voxel obtained from be Final can easily post-processing. then simple density map,Final estimation can then be easily obtained from voxel density map with simple post-processing.,2889
+"our networks. on method the baselines and backbone two outperforms datasets In experiments, two","In experiments, our method outperforms the baselines on two datasets and two backbone networks.",2890
+approach. about extensive report our We ablation also studies,We also report extensive ablation studies about our approach.,2891
+successfully in Convolution applied neural image are (CNNs) task. netwotks recognition,Convolution neural netwotks (CNNs) are successfully applied in image recognition task.,2892
+pitch rotation and each camera orientation video. for,camera orientation pitch and rotation for each video.,2893
+the prior standard as in requires distribution Gaussian a the latent space. VAE,VAE requires the standard Gaussian distribution as a prior in the latent space.,2894
+"specific this, distribution the introduces for latent paper avoid this class code. To the","To avoid this, this paper introduces the class specific distribution for the latent code.",2895
+models templates. separate minutiae Two extraction provide complementary minutiae,Two separate minutiae extraction models provide complementary minutiae templates.,2896
+"rare few examples activities of a interest available. events, with labeled are Many only","Many activities of interest are rare events, with only a few labeled examples available.",2897
+Our more end-to-end can from model and trainable is benefit examples. few-shot,Our model is end-to-end trainable and can benefit from more few-shot examples.,2898
+"the conventional indicators the time, same objective the At superior also methods. to evaluation are","At the same time, the objective evaluation indicators are also superior to the conventional methods.",2899
+hypotheses spiral concept of scientific relates evolution. to paper and introduces This this the pragmatic,This paper introduces pragmatic hypotheses and relates this concept to the spiral of scientific evolution.,2900
+"for two-stage and FAM. FAE theories Additionally, we of both this the underlying introduce pipeline","Additionally, we introduce the underlying theories of this two-stage pipeline for both FAE and FAM.",2901
+"performance commonly in Second, analysis attribute presented. and used facial datasets metrics are the","Second, the datasets and performance metrics commonly used in facial attribute analysis are presented.",2902
+"relevant attribute Furthermore, facial several issues applications. are well introduced, as related real-world as additional","Furthermore, several additional facial attribute related issues are introduced, as well as relevant real-world applications.",2903
+"research promising directions. and Finally, possible we challenges future discuss","Finally, we discuss possible challenges and promising future research directions.",2904
+conventions are among two types There pathologists. accepted widely of grading,There are two types of grading conventions widely accepted among pathologists.,2905
+"an important hand, inter-observer the variability issue other diagnosis. for final On is","On the other hand, inter-observer variability is an important issue for final diagnosis.",2906
+"image is cervical benchmark paper, this lesions precursor for grading cancer whole-slide introduced. a In","In this paper, a whole-slide image grading benchmark for cervical cancer precursor lesions is introduced.",2907
+"penalize for It unacceptable equally networks to seems, classes. between missclassification however,","It seems, however, unacceptable to penalize networks equally for missclassification between classes.",2908
+"representation of the is appearance quality With each RRU, improved. frame's","With RRU, the quality of each frame's appearance representation is improved.",2909
+"enhance STIM. of training multi-level used RRU to capability and is the Meanwhile, objective the","Meanwhile, the multi-level training objective is used to enhance the capability of RRU and STIM.",2910
+the and of distinct This faces. details to more synthesized leads shaper visual effect,This leads to shaper details and more distinct visual effect of the synthesized faces.,2911
+"brings convergence In addition, the faster it during training.","In addition, it brings the faster convergence during training.",2912
+the is The validated through of proposed extensive effectiveness studies. method ablation,The effectiveness of the proposed method is validated through extensive ablation studies.,2913
+qualitatively our expression on and approach and also We evaluate attribute facial quantitatively facial synthesis.,We also evaluate our approach qualitatively and quantitatively on facial attribute and facial expression synthesis.,2914
+of The the from optimal relay link. middle backward is location the slightly,The optimal relay location is slightly backward from the middle of the link.,2915
+is when of performance zero. BER FM-EDFA The mode-dependent best gain is the,The BER performance is the best when mode-dependent gain of FM-EDFA is zero.,2916
+of Reinforcement the Hierarchical realm (HRL). apparent Learning in need is particularly This,This need is particularly apparent in the realm of Hierarchical Reinforcement Learning (HRL).,2917
+HRL too testbeds Goldilocks Existing exhibit often are (e.g. a simple problem; either they,Existing HRL testbeds exhibit a Goldilocks problem; they are often either too simple (e.g.,2918
+Montezuma's the Arcade Learning Revenge Environment). from,Montezuma's Revenge from the Arcade Learning Environment).,2919
+"optical is (using LiteFlowNet) flow features. temporal Second, to used extract","Second, optical flow (using LiteFlowNet) is used to extract temporal features.",2920
+user's for propose trip novel a prediction histories. trip analyzing We approach by,We propose a novel approach for trip prediction by analyzing user's trip histories.,2921
+attended yield statistically to are features These identity-discriminative representations. aggregated,These attended features are statistically aggregated to yield identity-discriminative representations.,2922
+reconstructing from problem biomedical projections. the addresses work of signals This lower their dimensional,This work addresses the problem of reconstructing biomedical signals from their lower dimensional projections.,2923
+Sensing for Traditionally have this (CS) employed been task. techniques based Compressed,Traditionally Compressed Sensing (CS) based techniques have been employed for this task.,2924
+the of approach inductive inversion proposes a This new process. learning for work,This work proposes a new approach for inductive learning of the inversion process.,2925
+Learning. is Analysis on Dictionary based Coupled It,It is based on Coupled Analysis Dictionary Learning.,2926
+"intractable. of are models various statistical fields, In interest analytically","In various fields, statistical models of interest are analytically intractable.",2927
+"computational is statistical by a inference result, hampered constraints. greatly As","As a result, statistical inference is greatly hampered by computational constraints.",2928
+"likely given similar data users perform are different However, computations. to with model, different a","However, given a model, different users with different data are likely to perform similar computations.",2929
+Computations other user for users potentially sets. one by data with are useful different done,Computations done by one user are potentially useful for other users with different data sets.,2930
+to of capitalize a this. pooling on across resources researchers We propose,We propose a pooling of resources across researchers to capitalize on this.,2931
+"techniques, any solved now problem Using on interpolation estimation be advanced the can individual spot.","Using advanced interpolation techniques, any individual estimation problem can now be solved on the spot.",2932
+parameters. can the The easily method on prepaid constraints priors well as different accommodate as,The prepaid method can easily accommodate different priors as well as constraints on the parameters.,2933
+The evaluated is performance Leave-One-Subject-Out cross by validation.,The performance is evaluated by Leave-One-Subject-Out cross validation.,2934
+"is segmenting However, time-consuming of and labor-intensive. NPC manually","However, manually segmenting of NPC is time-consuming and labor-intensive.",2935
+"enough Additionally, generally information MRI delineation. accurate its provide cannot for single-modality","Additionally, single-modality MRI generally cannot provide enough information for its accurate delineation.",2936
+A fuse presented features MRI. block to multi-modality fusion from is effectively,A fusion block is presented to effectively fuse features from multi-modality MRI.,2937
+"are several degradation. in mixture of a of often practice degradations types image However,","However, image degradations in practice are often a mixture of several types of degradation.",2938
+The source ill-posed localization EEG an problem. is,The EEG source localization is an ill-posed problem.,2939
+which the of of involves estimation measurements. outnumbers the sources It number,It involves estimation of the sources which outnumbers the number of measurements.,2940
+This approach for presents EEG dense localization. source array new a paper,This paper presents a new approach for dense array EEG source localization.,2941
+trainable the end-to-end problem. for We a graph framework propose novel decomposition,We propose a novel end-to-end trainable framework for the graph decomposition problem.,2942
+"neural convolutional image good Recently, recognition. networks deep results have shown for","Recently, deep convolutional neural networks have shown good results for image recognition.",2943
+to our We of the method propose recognition for analysis. crystals protein structural X-ray applying,We propose applying our method to the recognition of protein crystals for X-ray structural analysis.,2944
+networks. methods protein neural several recognition realize by crystallization using convolutional that are There,There are several methods that realize protein crystallization recognition by using convolutional neural networks.,2945
+"to accuracy. are data In high method, with required recognize large-scale sets each","In each method, large-scale data sets are required to recognize with high accuracy.",2946
+"of CNN. data training our the not for set, images enough good number In is","In our data set, the number of images is not good enough for training CNN.",2947
+serious is for amount data fields. a of various issue in CNN The,The amount of data for CNN is a serious issue in various fields.,2948
+crystallization several our We is method effective demonstrate for images experiments. that using,We demonstrate that our method is effective for crystallization images using several experiments.,2949
+network several tune. architectures complicated This leads to to introduced hyperparameters with,This leads to complicated network architectures with several introduced hyperparameters to tune.,2950
+object networks detection region location. (RPN) hypothesize object methods to use State-of-the-art for proposal,State-of-the-art methods for object detection use region proposal networks (RPN) to hypothesize object location.,2951
+that Recent Background: during rest. even have dynamic indicated studies functional is connectivity,Background: Recent studies have indicated that functional connectivity is dynamic even during rest.,2952
+the females estimated The is in dynamic between difference connectivity states males and identified.,The difference in the estimated dynamic connectivity states between males and females is identified.,2953
+"the function. by IVQR and complicated objective estimation the of GMM However, non-convexity is non-smoothness","However, estimation is complicated by the non-smoothness and non-convexity of the IVQR GMM objective function.",2954
+"tries it, (\textit{e.g. one to address exploit To strategies group mining-based","To address it, one group tries to exploit mining-based strategies (\textit{e.g.",2955
+"examples. mining hard focal loss) informative focus }, to example and on the","}, hard example mining and focal loss) to focus on the informative examples.",2956
+designing margin-based functions The loss (\textit{e.g. group other devotes to,The other group devotes to designing margin-based loss functions (\textit{e.g.,2957
+discriminative them of features. learn Both have to well-verified been,Both of them have been well-verified to learn discriminative features.,2958
+state-of-the-arts. over approach effectiveness several benchmarks the on of our have Experimental results demonstrated,Experimental results on several benchmarks have demonstrated the effectiveness of our approach over state-of-the-arts.,2959
+human an untrimmed in important task. actions is Recognizing challenging videos,Recognizing human actions in untrimmed videos is an important challenging task.,2960
+of observations. requires radar global and nowcasting precipitation Truly satellite fusion,Truly global precipitation nowcasting requires fusion of radar and satellite observations.,2961
+these to tackle retinopathy of problems. essential Automated diabetic detection is,Automated detection of diabetic retinopathy is essential to tackle these problems.,2962
+models Results show that is DeepBillboard various effective for scenes. steering and,Results show that DeepBillboard is effective for various steering models and scenes.,2963
+are results of summarized The in analysis the sheet. tally the,The results of the analysis are summarized in the tally sheet.,2964
+view. a surgery limited of field Laparoscopic has,Laparoscopic surgery has a limited field of view.,2965
+"Laser smoke, laproscopic in a influences surgery causes inevitably surgeon's ablation which visibility. the","Laser ablation in a laproscopic surgery causes smoke, which inevitably influences the surgeon's visibility.",2966
+utilizes proposed method framework~(WLS). weighted squares least Our optimization,Our proposed method utilizes weighted least squares optimization framework~(WLS).,2967
+SVM classification a smoke/non-smoke We task. then train binary with classifier,We then train a SVM classifier with binary smoke/non-smoke classification task.,2968
+"greatly and in understanding, help interpreting Images visualizing data.","Images greatly help in understanding, interpreting and visualizing data.",2969
+the accessibility. Adding of images principle web foremost description and to textual is first,Adding textual description to images is the first and foremost principle of web accessibility.,2970
+"image algorithms processing information relevant from images. uses to specific extract it the chart Finally,","Finally, it uses specific image processing algorithms to extract relevant information from the chart images.",2971
+"ViewNet, deep we DispairtyNet networks three - these neural propose RefineNet. three For and stages","For these three stages we propose three deep neural networks - ViewNet, DispairtyNet and RefineNet.",2972
+to and noise cannot the precisely. superpixel are Most methods superpixel sensitive control number,Most superpixel methods are sensitive to noise and cannot control the superpixel number precisely.,2973
+fast onion algorithm and a precise (OP) control superpixel We called number peeling algorithm. develop,We develop a fast and precise superpixel number control algorithm called onion peeling (OP) algorithm.,2974
+without much superpixel the number The control computational reducing accurately can algorithm efficiency. OP,The OP algorithm can control the superpixel number accurately without reducing much computational efficiency.,2975
+area. and geometric research deep fruitful learning for is active data Developing an techniques,Developing deep learning techniques for geometric data is an active and fruitful research area.,2976
+representation. of sphere-type This novel surface the tackles surface-to-image problem a learning by paper developing,This paper tackles the problem of sphere-type surface learning by developing a novel surface-to-image representation.,2977
+Real-Time games a have artificial Strategy intelligence popular (RTS) recently testbed research. for become,Real-Time Strategy (RTS) games have recently become a popular testbed for artificial intelligence research.,2978
+complex number represent AI of challenges. providing domain a adversarial interesting a They,They represent a complex adversarial domain providing a number of interesting AI challenges.,2979
+"algorithms, the usage. their and compare them, We both demonstrate evaluate","We evaluate both the algorithms, compare them, and demonstrate their usage.",2980
+refer (SMPLR). as to SMPL reverse We this,We refer to this as SMPL reverse (SMPLR).,2981
+Person the single-domain re-identification under significant has achieved (ReID) setting. improvement,Person re-identification (ReID) has achieved significant improvement under the single-domain setting.,2982
+"brings First, (PAP) improvement that Pooling significant testing. for Aligned we cross-domain propose Part","First, we propose Part Aligned Pooling (PAP) that brings significant improvement for cross-domain testing.",2983
+both and state-of-the-art performance achieves under settings. Our cross-domain source-domain model,Our model achieves state-of-the-art performance under both source-domain and cross-domain settings.,2984
+"For our completeness, we model also domain existing complementarity adaptation of demonstrate to the methods.","For completeness, we also demonstrate the complementarity of our model to existing domain adaptation methods.",2985
+optimization problems. for proposed solutions subsequently are the corresponding Tractable,Tractable solutions are proposed subsequently for the corresponding optimization problems.,2986
+"breast brain tissues, human imaging: from mammalian human images tissues. tissues, and Medical histopathological acquired","Medical imaging: histopathological images acquired from mammalian tissues, human breast tissues, and human brain tissues.",2987
+"face, dogs, classification: object objects, flowers, General etc. indoor scenes,","General object classification: face, flowers, objects, dogs, indoor scenes, etc.",2988
+furnished The with limit describing theoretical presented and memory results algorithm is asymptotic its usage.,The presented algorithm is furnished with theoretical results describing its asymptotic limit and memory usage.,2989
+life-long in far been small-scale learning setups. studied relatively and So has (LLL) artificial relatively,So far life-long learning (LLL) has been studied in relatively small-scale and relatively artificial setups.,2990
+"we Here, introduce new a large-scale alternative.","Here, we introduce a new large-scale alternative.",2991
+"<person, wave> Third, tasks <dog, structure (e.g., riding, and share facts wave>). riding, across may","Third, facts across tasks may share structure (e.g., <person, riding, wave> and <dog, riding, wave>).",2992
+"of facts, LLL Given large possible setup a seems natural choice. the a number","Given the large number of possible facts, a LLL setup seems a natural choice.",2993
+and for method between domain Our domains. accounts within explicitly stylistic shifts,Our method explicitly accounts for stylistic domain shifts between and within domains.,2994
+"generating we value. find such while economic POMDP-based contrast, management higher avoids In over-exploitation also","In contrast, we find POMDP-based management avoids such over-exploitation while also generating higher economic value.",2995
+R method. implements an Includes function which the,Includes an R function which implements the method.,2996
+superior FCN. Extensive validate to MCPNet like that DNNs is the experiments conventional,Extensive experiments validate that the MCPNet is superior to conventional DNNs like FCN.,2997
+from are features The image domains. two extracted,The image features are extracted from two domains.,2998
+adaptive based on sampling algorithm image Learning presents paper an (DL). This Deep,This paper presents an adaptive image sampling algorithm based on Deep Learning (DL).,2999
+inpainting network. mask with sampling is network generation image adaptive an jointly The trained,The adaptive sampling mask generation network is jointly trained with an image inpainting network.,3000
+captioning task. for hLSTMat video our We initially design,We initially design our hLSTMat for video captioning task.,3001
+"it to we further task. captioning and it Then, apply refine image","Then, we further refine it and apply it to image captioning task.",3002
+in components study. also The exploited ablation is important of well the effect,The effect of important components is also well exploited in the ablation study.,3003
+"Finally, the architecture. proposed demonstrate results numerical also efficiency of the robustness, effectiveness, and","Finally, the numerical results also demonstrate effectiveness, robustness, and efficiency of the proposed architecture.",3004
+"them to identify as appear. and as Therefore, soon critical it they detect is","Therefore, it is critical to detect and identify them as soon as they appear.",3005
+in-painter with is built patch discriminators. coarse-to-fine framework (generator) and two The class-aware a,The framework is built with a coarse-to-fine patch in-painter (generator) and two class-aware discriminators.,3006
+by of computational pixel resources. requires amount enormous pixel classical Representing using image information an,Representing image pixel by pixel using classical information requires an enormous amount of computational resources.,3007
+"information is a images paradigm of important. in represent Hence, methods to exploring different","Hence, exploring methods to represent images in a different paradigm of information is important.",3008
+"the In Quantum representation this work, Information. images we in of study","In this work, we study the representation of images in Quantum Information.",3009
+"clustering proposed In on (NS) based new neutrosophic this theory. algorithm work, a set is","In this work, a new clustering algorithm is proposed based on neutrosophic set (NS) theory.",3010
+versa. data is regions points Lower dense indeterminacy to and in assigned vice,Lower indeterminacy is assigned to data points in dense regions and vice versa.,3011
+"cost In by methods. is function minimized third descend proposed the the step, gradient","In the third step, the proposed cost function is minimized by gradient descend methods.",3012
+based on membership are their degrees. Data points clustered,Data points are clustered based on their membership degrees.,3013
+space. for Video holds and many utility labelling the data applications processing in emerging IoT,Video processing holds utility for many emerging applications and data labelling in the IoT space.,3014
+"small have kinase-targeted been FDA drugs approved. molecule Currently, EGFR of generations three","Currently, three generations of EGFR kinase-targeted small molecule drugs have been FDA approved.",3015
+"acquired However, and treatment long-term to drug results resistance in NSCLC. further vulnerability","However, long-term treatment results in acquired drug resistance and further vulnerability to NSCLC.",3016
+"needed. overcome kinase Therefore, are specially novel that urgently EGFR inhibitors mutations acquired","Therefore, novel EGFR kinase inhibitors that specially overcome acquired mutations are urgently needed.",3017
+"viewpoint, organization in this space. identity of gender, We the and illumination, examined","We examined the organization of viewpoint, illumination, gender, and identity in this space.",3018
+Deep long-standing problems networks recognition. face generalized computational in solve produce face representations that,Deep networks produce face representations that solve long-standing computational problems in generalized face recognition.,3019
+develop $K$-fold bias-correction. a procedure for We cross-fitting,We develop a $K$-fold cross-fitting procedure for bias-correction.,3020
+is R-package An available. methods our implementing for,An R-package for implementing our methods is available.,3021
+processing. sensing is Hyperspectral remote a in research data topic prominent,Hyperspectral remote sensing is a prominent research topic in data processing.,3022
+linear unmixing spectral adopting models. by the Most algorithms developed mixing of are the,Most of the spectral unmixing algorithms are developed by adopting the linear mixing models.,3023
+"NMF, Sparsity constraints regularized L_ to $ was $ added and {q} by norm. was","Sparsity constraints was added to NMF, and was regularized by $ L_ {q} $ norm.",3024
+"In proposed the including algorithm, a employed. network is clusters","In the proposed algorithm, a network including clusters is employed.",3025
+as the images node network. hyperspectral a in this pixel considered in Each,Each pixel in the hyperspectral images considered as a node in this network.,3026
+objective such functions common the Two is sum-of-costs the makespan. and,Two such common objective functions is the sum-of-costs and the makespan.,3027
+the of we in study for compilation-based applicability solvers Moreover approach. developed search-based techniques various,Moreover we study applicability of various techniques developed for search-based solvers in the compilation-based approach.,3028
+"We borrowing by solver. improve further the a ICTS, encoding ideas search-based then from","We then further improve the encoding by borrowing ideas from ICTS, a search-based solver.",3029
+mesh generate skinned to This allows turn in us animations.,This in turn allows us to generate skinned mesh animations.,3030
+"we regression approach. two-step a Here, propose","Here, we propose a two-step regression approach.",3031
+"our phenomena in deception in lives. are both private and and society, common professional Lies","Lies and deception are common phenomena in society, both in our private and professional lives.",3032
+"notoriously are deception accurate However, humans at detection. bad","However, humans are notoriously bad at accurate deception detection.",3033
+of in the makes salt presence computer-aided dome The more data interpretation noise even challenging.,The presence of noise in the data makes computer-aided salt dome interpretation even more challenging.,3034
+"detection. dome we a utilize salt accomplish gradient to texture-based First,","First, we utilize a texture-based gradient to accomplish salt dome detection.",3035
+"noise. algorithm shows the is that At time, analysis the our same proposed to robust","At the same time, our analysis shows that the proposed algorithm is robust to noise.",3036
+"Compared defenses, advantages. baseline has with three DUP-Net","Compared with baseline defenses, DUP-Net has three advantages.",3037
+"denoising it is added statistical since robustness the outlier removal a Second, provides operation. non-differentiable","Second, the statistical outlier removal provides added robustness since it is a non-differentiable denoising operation.",3038
+that DUP-Net We validate experiments conduct as very is effective various defense practice. in to,We conduct various experiments to validate that DUP-Net is very effective as defense in practice.,3039
+"optimize representation. double regret neural algorithm the counterfactual Furthermore, adopt this to we minimization","Furthermore, we adopt the counterfactual regret minimization algorithm to optimize this double neural representation.",3040
+network on generates is fully learned convolutional network based residual deeply Our features. that,Our network is based on fully convolutional network that generates deeply learned residual features.,3041
+We design discriminative function a soft-shifted triplet to palmprint features. more learn loss effectively,We design a soft-shifted triplet loss function to more effectively learn discriminative palmprint features.,3042
+But ideal hold? do these if not what conditions,But what if these ideal conditions do not hold?,3043
+"required analyses, to it efficient against contaminations. robust use more For is estimators","For more efficient analyses, it is required to use robust estimators against contaminations.",3044
+convolutional exploit layers. fully from hierarchical We features all the the,We fully exploit the hierarchical features from all the convolutional layers.,3045
+"accurate salient fusion should strategies complex However, and the be object more more for detection?","However, should the fusion strategies be more and more complex for accurate salient object detection?",3046
+"contextual estimation. At last, used for can hybrid features accurate be saliency the","At last, the hybrid contextual features can be used for accurate saliency estimation.",3047
+paper upon will released Code acceptance. be,Code will be released upon paper acceptance.,3048
+benchmark The are underidentified. preference and jointly parameters DM's model,The DM's benchmark model and preference parameters are jointly underidentified.,3049
+allows rates of to be characterized. result also estimators The convergence,The result also allows convergence rates of estimators to be characterized.,3050
+the pessimistically distorts reveals benchmark application in time-variation DM way the The probabilities.,The application reveals time-variation in the way the DM pessimistically distorts benchmark probabilities.,3051
+"To considered knowledge, have not best methods this the fact. our IQA previous of","To the best of our knowledge, previous IQA methods have not considered this fact.",3052
+stronger values. method comparison correlation of the our reveals with human-evaluated This,This comparison reveals the stronger correlation of our method with human-evaluated values.,3053
+consistent independent cases. distortion for prediction-of-quality well is specific as score The as distortion,The prediction-of-quality score is consistent for distortion specific as well as distortion independent cases.,3054
+"Moreover, makes faster to any application. processing real-time it applicable","Moreover, faster processing makes it applicable to any real-time application.",3055
+systems the characteristic electrical distribution (EDS). most against is major essential of disasters Resilience future,Resilience against major disasters is the most essential characteristic of future electrical distribution systems (EDS).,3056
+this method for restoration proposed EDS paper. A is rolling optimization multi-agent-based in scheduling,A multi-agent-based rolling optimization method for EDS restoration scheduling is proposed in this paper.,3057
+is for entire A rolling restoration EDS the proposed. optimization process,A rolling optimization process for the entire EDS restoration is proposed.,3058
+to problem solve trend globally this current the is framework. BnB optimization The using,The current trend is to solve this problem globally using the BnB optimization framework.,3059
+"techniques propose these address to this In two paper, problems. we","In this paper, we propose two techniques to address these problems.",3060
+and decomposition algorithms substantially the BnB its dimensionality improves transformation This of efficiency. problem reduces,This transformation decomposition reduces the problem dimensionality of BnB algorithms and substantially improves its efficiency.,3061
+bounding tightly-fitted yields boxes process or that This occlusions circumvent miss-detections.,This process yields tightly-fitted bounding boxes that circumvent occlusions or miss-detections.,3062
+efficiency without we strive simplicity accuracy. for architecture recognition In proposed sacrificing our and,In our proposed architecture we strive for simplicity and efficiency without sacrificing recognition accuracy.,3063
+"illumination performance descriptors such severe drops However, of under changes. the","However, the performance of such descriptors drops under severe illumination changes.",3064
+"In local and a Invertible descriptor. Discriminative proposed this paper, Contrast (DCI) we feature","In this paper, we proposed a Discriminative and Contrast Invertible (DCI) local feature descriptor.",3065
+is based estimate A on region. a divergence of local proposed the flipping robust contrast,A robust contrast flipping estimate is proposed based on the divergence of a local region.,3066
+"we identify user (attributes) survey. to cohesion, order the conducted a visual In for cues","In order to identify the visual cues (attributes) for cohesion, we conducted a user survey.",3067
+via multi-task at neural a is group-level analysis a performed network. Image convolutional,Image analysis is performed at a group-level via a multi-task convolutional neural network.,3068
+GCS and the `GAF-Cohesion to database add the We database'. Affect propose Group,We add GCS to the Group Affect database and propose the `GAF-Cohesion database'.,3069
+cohesion that group-level and are This suggests emotion correlated.,This suggests that group-level emotion and cohesion are correlated.,3070
+of Face resolution low noise analysis for applications and face recognition. important from is restoration,Face restoration from low resolution and noise is important for applications of face analysis recognition.,3071
+data. also the of labeled in input They absence suffer,They also suffer in the absence of labeled input data.,3072
+laziness. This dual productive concept be objective the of summarized can by,This dual objective can be summarized by the concept of productive laziness.,3073
+overlook worker on scheduling rest. wellbeing Existing proper focus efficiency approaches but mostly through,Existing scheduling approaches mostly focus on efficiency but overlook worker wellbeing through proper rest.,3074
+Our by is Algorithm (LISTA). inspired the Learned Shrinkage-Threshold Iterative model,Our model is inspired by the Learned Iterative Shrinkage-Threshold Algorithm (LISTA).,3075
+method. Extensive the our benchmark on demonstrate effectiveness experiments of datasets,Extensive experiments on benchmark datasets demonstrate the effectiveness of our method.,3076
+"dramatically. In past demand services years, data the for increased few has high rate the","In the past few years, the demand for high data rate services has increased dramatically.",3077
+"dispersion systems mobility mitigation and we modelling, techniques. describe indoor In OWC channel","In indoor OWC systems we describe channel modelling, mobility and dispersion mitigation techniques.",3078
+"research open in systems OWC Moreover, issues are discussed.","Moreover, open research issues in OWC systems are discussed.",3079
+transform. realized wavelet by The transformation fast a is,The transformation is realized by a fast wavelet transform.,3080
+model has used classification for image Knowledge (KD) Distillation been in compression.,Knowledge Distillation (KD) has been used in image classification for model compression.,3081
+"However, on studies apply technology rare detectors. object single-stage this","However, rare studies apply this technology on single-stage object detectors.",3082
+encountered the in This when applying also task. is problem detection KD,This problem is also encountered when applying KD in the detection task.,3083
+"than others. hard teacher-defined the far samples important more For KD, are any","For KD, the teacher-defined hard samples are far more important than any others.",3084
+"inverted index memory effectively. However, requires high index the dataset overhead the to","However, the inverted index requires high memory overhead to index the dataset effectively.",3085
+"consumption. comparable maintaining while both search method accuracy, Our quantization and improves efficiency memory","Our quantization method improves both search efficiency and accuracy, while maintaining comparable memory consumption.",3086
+regions. by number search indexed and is reducing the increasing This of space achieved,This is achieved by reducing search space and increasing the number of indexed regions.,3087
+"further its performance. limited However, information improving spectral classification the hinders","However, its limited spectral information hinders further improving the classification performance.",3088
+the of also proposed system adaptive discussed. control Practical is implementation polarization with,Practical implementation of the proposed system with adaptive polarization control is also discussed.,3089
+estimation solutions blurry produce depth often low approximations resolution. of Existing for,Existing solutions for depth estimation often produce blurry approximations of low resolution.,3090
+publicly Code corresponding available. pre-trained made and weights are,Code and corresponding pre-trained weights are made publicly available.,3091
+"First-order is tool statistics, computer a ubiquitous across differentiation and learning, automatic machine science.","First-order automatic differentiation is a ubiquitous tool across statistics, machine learning, and computer science.",3092
+"realize yet Higher-order the automatic differentiation, implementations have of same utility. to however,","Higher-order implementations of automatic differentiation, however, have yet to realize the same utility.",3093
+"between In pose non-overlapping approach even scans. particular, relative estimates our encouraging provides","In particular, our approach provides encouraging relative pose estimates even between non-overlapping scans.",3094
+the CNN two are from which tasks feature share extracted. The multi-scale maps a backbone,The two tasks share a backbone CNN from which the multi-scale feature maps are extracted.,3095
+a for flexible This or occluded keypoints. creates truncated localizing representation,This creates a flexible representation for localizing occluded or truncated keypoints.,3096
+its the does circuit learning of a size influence neural How performance?,How does the size of a neural circuit influence its learning performance?,3097
+in found Larger with tend species ability. learning and be cognitive function brains to higher,Larger brains tend to be found in species with higher cognitive function and learning ability.,3098
+for objects. Computer and detecting vision relies on labeled datasets in and evaluation training recognizing,Computer vision relies on labeled datasets for training and evaluation in detecting and recognizing objects.,3099
+evaluate effort a applications. large-scale to describes for novel This YOLO's consistency paper,This paper describes a novel effort to evaluate YOLO's consistency for large-scale applications.,3100
+the technology Regularization is into of design architecture. integrated deep,Regularization technology is integrated into the design of deep architecture.,3101
+the training is end-to-end out loss. carried The Euclidean using joint,The end-to-end joint training is carried out using the Euclidean loss.,3102
+bodies generative for silhouette-based models. human introduce using representation a We modeling clothed deep new,We introduce a new silhouette-based representation for modeling clothed human bodies using deep generative models.,3103
+many in communication essential removal received (IN) noise signal of impulsive from applications. Efficient is,Efficient removal of impulsive noise (IN) from received signal is essential in many communication applications.,3104
+the absolute This efficient camera shutter problem. to pose paper rolling new solutions presents,This paper presents new efficient solutions to the rolling shutter camera absolute pose problem.,3105
+more of to types further our We make various rooftops solution evaluated robust.,We further evaluated various types of rooftops to make our solution more robust.,3106
+are by majority The mobile taken vast photos phones. today of,The vast majority of photos taken today are by mobile phones.,3107
+enhance computationally these to This us motivates images.,This motivates us to computationally enhance these images.,3108
+"image Over yielded last deep few learning the have improvements techniques in years, significant inpainting.","Over the last few years, deep learning techniques have yielded significant improvements in image inpainting.",3109
+"each from global reciprocal features attribute-category benefit other. local this and process, Through","Through this attribute-category reciprocal process, local and global features benefit from each other.",3110
+"using the images Finally, points. identified two by are together stitched","Finally, two images are stitched together by using the identified points.",3111
+"Therefore, methods. unsupervised work began depth to estimation researchers on","Therefore, researchers began to work on unsupervised depth estimation methods.",3112
+during together the two test models network are The phase. piped,The two network models are piped together during the test phase.,3113
+We multifocal a framework propose new computing-inspired cancer procedure detection (MCDP). of,We propose a new framework of computing-inspired multifocal cancer detection procedure (MCDP).,3114
+computer Convolutional primary the neural algorithms become various networks(CNNs) of vision for has tasks. one,Convolutional neural networks(CNNs) has become one of the primary algorithms for various computer vision tasks.,3115
+example is task has such that of character a typical attracted Handwritten attention. recognition also,Handwritten character recognition is a typical example of such task that has also attracted attention.,3116
+"that problems ancient propose a We, novel solution with for processing. therefore, the painting come","We, therefore, propose a novel solution for the problems that come with ancient painting processing.",3117
+images. transfer to convert use ancient to domain This natural paintings to photo-realistic is,This is to use domain transfer to convert ancient paintings to photo-realistic natural images.,3118
+"in work. on Specifically, and paintings this we bird Chinese ancient landscape flower, focus","Specifically, we focus on Chinese ancient flower, bird and landscape paintings in this work.",3119
+"control many there is limited data challenges since it acquisition However, in faces conditions.","However, it faces many challenges since there is limited control in data acquisition conditions.",3120
+to model released Our will this be problem. based facilitate on further studies,Our model will be released to facilitate further studies based on this problem.,3121
+into pose categories: and multi-stage fall Existing estimation methods. two single-stage approaches,Existing pose estimation approaches fall into two categories: single-stage and multi-stage methods.,3122
+research. The available publicly for further code is source,The source code is publicly available for further research.,3123
+very The salt-dome delineation precision workflow proposed with boundary detects accuracy. good the and,The proposed delineation workflow detects the salt-dome boundary with very good precision and accuracy.,3124
+Interest are this blob significance points measurement. extracted from,Interest points are extracted from this blob significance measurement.,3125
+"result, is As detector changes. proposed invariant the illumination to a","As a result, the proposed detector is invariant to illumination changes.",3126
+"the problem not them did of of address network many interpretability. However,","However, many of them did not address the problem of network interpretability.",3127
+outperforms Our residual solution recent approaches. even learning,Our solution outperforms even recent residual learning approaches.,3128
+information surrounding actions. for understanding essential The provides context,The surrounding context provides essential information for understanding actions.,3129
+"leverage For which actor localization, better. pre-trained we transfer detectors, object","For actor localization, we leverage pre-trained object detectors, which transfer better.",3130
+real-time and proposed achieves model pipeline our detection action near performance. efficient The is,The proposed model is efficient and our action detection pipeline achieves near real-time performance.,3131
+approach an to named (CHR) refinement We propose class-balanced deal with hierarchical difficulties. these,We propose an approach named class-balanced hierarchical refinement (CHR) to deal with these difficulties.,3132
+with evaluate different ratios of on samples. We CHR positive/negative SIXray,We evaluate CHR on SIXray with different ratios of positive/negative samples.,3133
+"by spontaneous, seizures. characterised   disorder Epilepsy is recurrent a","  Epilepsy is a disorder characterised by spontaneous, recurrent seizures.",3134
+neural success (DNNs) numerous networks extraordinary Deep achieved have areas. in,Deep neural networks (DNNs) have achieved extraordinary success in numerous areas.,3135
+are happen the likely Overfitting to insufficient. such training in also is network when data,Overfitting is also likely to happen in such network when the training data are insufficient.,3136
+shortcomings in DNNs platforms. application of resource-constrained hinder These the severely,These shortcomings severely hinder the application of DNNs in resource-constrained platforms.,3137
+"auxiliary Besides, an employed as unnecessary to is remove sparsity group neurons. also","Besides, group sparsity is also employed as an auxiliary to remove unnecessary neurons.",3138
+datasets several on of effectiveness demonstrate method. Experiments proposed the the public,Experiments on several public datasets demonstrate the effectiveness of the proposed method.,3139
+"and stores. in milk juice grocery cartons, packages","milk packages and juice cartons, in grocery stores.",3140
+work addresses the under semantic This of fog. problem understanding scene,This work addresses the problem of semantic scene understanding under fog.,3141
+datasets at project and the The are available code website.,The datasets and code are available at the project website.,3142
+and Surface-based provides object cues analysis for geometric strong modeling. semantic topology geodesic,Surface-based geodesic topology provides strong cues for object semantic analysis and geometric modeling.,3143
+"lost point However, information in clouds. is connectivity such","However, such connectivity information is lost in point clouds.",3144
+"the Furthermore, process. statistical properties simulations are of jump underlying the used to describe","Furthermore, the simulations are used to describe statistical properties of the underlying jump process.",3145
+regularization we framework multi-task Here propose segmentation. a for MR cardiac image learning (MTL)-based,Here we propose a multi-task learning (MTL)-based regularization framework for cardiac MR image segmentation.,3146
+at outperform artificial resolution networks existing neural scans. both and medium Our methods low,Our artificial neural networks outperform existing methods at both medium and low resolution scans.,3147
+in computer learning Supervised based techniques state-of-the-art hungry. are data general vision machine,Supervised machine learning based state-of-the-art computer vision techniques are in general data hungry.,3148
+strong function the the can mitigate One placing structural by estimation. in restrictions on problem,One can mitigate the problem by placing strong restrictions on the structural function in estimation.,3149
+"does not imparts them function if the then obey However, the bias. true imposing restrictions","However, if the true function does not obey the restrictions then imposing them imparts bias.",3150
+to our methods We al. Blundell setting the of empirical et apply,We apply our methods to the empirical setting of Blundell et al.,3151
+terms in techniques well-known of latter outperforms estimation and robustness. accuracy state-of-the-art most The,The latter outperforms most well-known state-of-the-art techniques in terms of estimation accuracy and robustness.,3152
+acid. dihedral and $\phi$ bivariate make The amino between angles $\psi$ within models an relationships,The bivariate models make relationships between dihedral angles $\phi$ and $\psi$ within an amino acid.,3153
+"Furthermore, EDA we the with compared approaches literature. from other proposed the","Furthermore, we compared the proposed EDA with other approaches from the literature.",3154
+capabilities increase segmentation proposed techniques. should of the varied generalization training This data the,This varied training data should increase the generalization capabilities of the proposed segmentation techniques.,3155
+training update an for design an end-to-end CAN alternating We strategy manner. in,We design an alternating update strategy for training CAN in an end-to-end manner.,3156
+security systems. is of recognition Face face for the crucial anti-spoofing,Face anti-spoofing is crucial for the security of face recognition systems.,3157
+methods based deep need large-scale samples learning based methods reduce to overfitting. training Learning especially,Learning based methods especially deep learning based methods need large-scale training samples to reduce overfitting.,3158
+"proposed face solutions presented. of recognition taxonomy, is Following comprehensive a representative the survey","Following the proposed taxonomy, a comprehensive survey of representative face recognition solutions is presented.",3159
+(SNRs) of under ratios is performance SVR evaluated The experimentally. different signal-to-noise,The performance of SVR is evaluated under different signal-to-noise ratios (SNRs) experimentally.,3160
+the Our a segmentation suggested performance. proposed method that results superior had,Our results suggested that the proposed method had a superior segmentation performance.,3161
+image. network attributes pre-trained is to VGG-Face A used visible the from the extract,A pre-trained VGG-Face network is used to extract the attributes from the visible image.,3162
+a system. the of tracking used results monopulse for be can optimizing design The,The results can be used for optimizing the design of a monopulse tracking system.,3163
+a new motion learning approach from We to propose self-supervised feature image cue.,We propose a new self-supervised approach to image feature learning from motion cue.,3164
+an segmentation evaluate We and demonstrate image this on task. approach,We demonstrate and evaluate this approach on an image segmentation task.,3165
+addresses in videos a of manner. automatic summarization This unified paper,This paper addresses automatic summarization of videos in a unified manner.,3166
+details We modalities involved. provide different implementation summarization the on systems also and,We also provide implementation details on summarization systems and the different modalities involved.,3167
+musical talent and finally to be to studies performed improve propose more We abilities. musical,We finally propose more studies to be performed to improve musical talent and musical abilities.,3168
+uncertainty in perspective brings Constraint new Programming. to This tackle,This brings new perspective to tackle uncertainty in Constraint Programming.,3169
+remote indispensable clouds image is step pre-processing Removing analysis. an in sensing,Removing clouds is an indispensable pre-processing step in remote sensing image analysis.,3170
+"applied However, rarely learning is in image removal clouds. deep remote sensing","However, deep learning is rarely applied in remote sensing image removal clouds.",3171
+for of the sets lack The neural training reason is networks. data,The reason is the lack of data sets for training neural networks.,3172
+has in been the protein-folding long-standing challenge a biology. and problem understanding Exploring molecular,Exploring and understanding the protein-folding problem has been a long-standing challenge in molecular biology.,3173
+the The is the method from by results literature. experiments comparing in verified available,The method is verified by comparing the results available from experiments in the literature.,3174
+led to these has severely direct The models problems. optimization of use ill-posed,The direct use of these models has led to severely ill-posed optimization problems.,3175
+real Simulation effectiveness the data of strategy. proposed the swith synthetic attest and,Simulation swith synthetic and real data attest the effectiveness of the proposed strategy.,3176
+simple a game-play. real-time game with rules is strategy but complex Wars Planet,Planet Wars is a real-time strategy game with simple rules but complex game-play.,3177
+pre-segmentation on This a a based graph without framework region adjacency stage. is algorithm,This algorithm is based on a region adjacency graph framework without a pre-segmentation stage.,3178
+image functions with are defined noise. normal weight edge linear from Proposed model,Proposed edge weight functions are defined from linear image model with normal noise.,3179
+dataset every image. with colour provided for pixel-by-pixel The truth ground segmentation is,The dataset is provided with pixel-by-pixel ground truth colour segmentation for every image.,3180
+task of vision in correspondences processing Establishing image variety a computer fundamental and is applications.,Establishing correspondences is a fundamental task in variety of image processing and computer vision applications.,3181
+"LAT In for feature addition, several are with robust reformulated practical descriptors applications.","In addition, robust feature descriptors are reformulated with LAT for several practical applications.",3182
+to mean as compared LAT absolute methods. reduces the conventional difference,LAT reduces the mean absolute difference as compared to conventional methods.,3183
+"MDPs. of we In convergence heuristics new to this the speed paper, solution up present","In this paper, we present new heuristics to speed up the solution convergence of MDPs.",3184
+this technique tackle as a problem. to recently emerged has Deep promising learning,Deep learning has recently emerged as a promising technique to tackle this problem.,3185
+relative simultaneously. predict and multi-task perform We and poses absolute learning the,We perform multi-task learning and predict the absolute and relative poses simultaneously.,3186
+cast problem art Prior as often detection. this boundary,Prior art often cast this problem as boundary detection.,3187
+Our and previous quantitatively surpasses methods method qualitatively.,Our method surpasses previous methods quantitatively and qualitatively.,3188
+matching of across is the problem objects cameras. appearances of Re-identification different,Re-identification is the problem of matching appearances of objects across different cameras.,3189
+"include arising smart occlusions. viewpoints, city scenarios variations illumination Typical and of in challenges self","Typical challenges arising in smart city scenarios include variations of viewpoints, illumination and self occlusions.",3190
+Popular embedding triplet functions contrastive loss loss. (space) learning an or include for,Popular loss functions for learning an embedding (space) include contrastive or triplet loss.,3191
+hierarchical structure video recurrent to of network Our uses temporal capture approach a the features.,Our approach uses a hierarchical recurrent network to capture the temporal structure of video features.,3192
+from appearance networks. detect motion features and accidents by two-stream We incorporating features near,We detect near accidents by incorporating appearance features and motion features from two-stream networks.,3193
+use strategy model. to We the the method alphaGo explain of gaming Zero our,We use our method to explain the gaming strategy of the alphaGo Zero model.,3194
+analysis contextual local of The w.r.t. effects,The analysis of local contextual effects w.r.t.,3195
+special units is real values input in applications. certain of,certain input units is of special values in real applications.,3196
+Explaining alphaGo logic a is Zero model application. the of the typical,Explaining the logic of the alphaGo Zero model is a typical application.,3197
+"In of the method move our during experiments, rationale successfully the game. Go disentangled each","In experiments, our method successfully disentangled the rationale of each move during the Go game.",3198
+neural data. methods networks on convolutional from task learning allow based the Recent entire (CNN),Recent methods based on convolutional neural networks (CNN) allow learning the entire task from data.,3199
+"frameworks. strengths we combines of the RayNet, paper, propose this In both which","In this paper, we propose RayNet, which combines the strengths of both frameworks.",3200
+using RayNet train risk end-to-end We empirical minimization.,We train RayNet end-to-end using empirical risk minimization.,3201
+"second the also a includes coherent of is which Besides, jammers, scenario, presence addressed.","Besides, a second scenario, which also includes the presence of coherent jammers, is addressed.",3202
+"explore and In this between trajectories people their orientations. we correlation work, the head","In this work, we explore the correlation between people trajectories and their head orientations.",3203
+"particularly people slowly, MX-LSTM i.e. effective when is move","MX-LSTM is particularly effective when people move slowly, i.e.",3204
+all the scenario models. challenging for most other,the most challenging scenario for all other models.,3205
+accurate predictions longer for The proposed approach horizon. also on a allows time,The proposed approach also allows for accurate predictions on a longer time horizon.,3206
+"image emerging been deblurring. for a have recently, powerful neural networks Most as tool deep","Most recently, deep neural networks have been emerging as a powerful tool for image deblurring.",3207
+"this that paper, tasks. architecture for encoder-decoder better image deblurring we In gives prove results","In this paper, we prove that encoder-decoder architecture gives better results for image deblurring tasks.",3208
+on Recent based mostly Networks Detection (SOD) Salient (CNNs). are Convolutional Neural systems Object,Recent Salient Object Detection (SOD) systems are mostly based on Convolutional Neural Networks (CNNs).,3209
+also background task the information the in is of ignored SOD. significant But,But the ignored background information is also significant in the task of SOD.,3210
+object training solve by problem the for detection. introducing We to designed this data try,We try to solve this problem by introducing the training data designed for object detection.,3211
+can slightly improve large-scale images the The performance of object of SOD.,The large-scale of object images can slightly improve the performance of SOD.,3212
+Experiments immediately euthanasia. on cadavers Approach: were following performed in-vitro,Approach: Experiments were performed in-vitro on cadavers immediately following euthanasia.,3213
+introduced Tukey ringing was A to window phenomena. Gibbs from remove,A Tukey window was introduced to remove ringing from Gibbs phenomena.,3214
+object Scale is key challenges in detection. the of variation one,Scale variation is one of the key challenges in object detection.,3215
+purposes. This for approach is beneficial triage,This approach is beneficial for triage purposes.,3216
+is neuroanatomical-functional essential relationships. magnetic imaging resonance structural understanding on Whole (MRI) for segmentation brain,Whole brain segmentation on structural magnetic resonance imaging (MRI) is essential for understanding neuroanatomical-functional relationships.,3217
+"segmentation. segmentation standard has method whole Traditionally, multi-atlas brain as for the been regarded","Traditionally, multi-atlas segmentation has been regarded as the standard method for whole brain segmentation.",3218
+"at scans subject Moreover, from protocols. each two MRI different has least","Moreover, each subject has at least two scans from different MRI protocols.",3219
+"the assess reproducibility. method's intra- and Herein, SLANT we inter-protocol","Herein, we assess the SLANT method's intra- and inter-protocol reproducibility.",3220
+that SLANT intra- method achieved high reproducibility. protocol and inter- the The show results,The results show that the SLANT method achieved high intra- and inter- protocol reproducibility.,3221
+of the We individual experimentally. thoroughly architecture components evaluate the and the contributions,We thoroughly evaluate the architecture and the contributions of the individual components experimentally.,3222
+"horses prey such Furthermore, animals tend pain. hide as to their","Furthermore, prey animals such as horses tend to hide their pain.",3223
+human comparisons state-of-the-art We versions generalized of additionally perform pain recognition with methods. baseline,We additionally perform baseline comparisons with generalized versions of state-of-the-art human pain recognition methods.,3224
+of The this three-fold. purpose is work,The purpose of this work is three-fold.,3225
+contributions inference new for context in musculo-skeletal disorder force management. These perspectives offer of the,These contributions offer new perspectives for force inference in the context of musculo-skeletal disorder management.,3226
+"videos The direct portrait society, privacy. of law, threats recent and proliferation poses fake on","The recent proliferation of fake portrait videos poses direct threats on society, law, and privacy.",3227
+"deep other a words, detector. fake introduce In we","In other words, we introduce a deep fake detector.",3228
+position paper saying background discusses artificial the in the This (AI). of intelligence,This position paper discusses the saying in the background of artificial intelligence (AI).,3229
+examining objectiveness proposed the rules the is of methodology meta evaluations. for A of,A methodology of meta rules is proposed for examining the objectiveness of the evaluations.,3230
+presented. of also The possible saying problems are the,The possible problems of the saying are also presented.,3231
+"by affected multipath biases. quality Nevertheless, and positioning clock is","Nevertheless, positioning quality is affected by multipath and clock biases.",3232
+or bistatic acquired repeat-pass pairs mode. image in,image pairs acquired in repeat-pass or bistatic mode.,3233
+"algorithm, Eclat, mining categorical itemset (FIM) accommodate to a frequent We modify variables.","We modify Eclat, a frequent itemset mining (FIM) algorithm, to accommodate categorical variables.",3234
+hold out proposed method forecasting baselines. show samples On the we that outperforms these,On hold out samples we show that the proposed forecasting method outperforms these baselines.,3235
+of We limitations by benefits conclude proposed approach. analyzing the and,We conclude by analyzing benefits and limitations of the proposed approach.,3236
+spatial controllability lack translation. during also Existing of methods,Existing methods also lack of spatial controllability during translation.,3237
+"to images. impose segmentor is on network particular, a In the designed information generated semantic","In particular, a segmentor network is designed to impose semantic information on the generated images.",3238
+"However, supervised time-consuming and such collecting data labor-intensive. is","However, collecting such supervised data is time-consuming and labor-intensive.",3239
+portfolio propose teach to manage from to a scratch. agent planning-based an We method,We propose a planning-based method to teach an agent to manage portfolio from scratch.,3240
+with techniques Our learning deep techniques search combines reinforcement AlphaGo. approach like,Our approach combines deep reinforcement learning techniques with search techniques like AlphaGo.,3241
+optimize utility combinatorial function The can search. algorithm by also non-differentiable suggested,The suggested algorithm can also optimize non-differentiable utility function by combinatorial search.,3242
+then trading technique our used is This system. in,This technique is then used in our trading system.,3243
+explore We the pose contextual importance of human information in estimation. spatial,We explore the importance of spatial contextual information in human pose estimation.,3244
+to informative Cascade maps signals. from previous accumulates prediction fusion stages extract prediction,Cascade prediction fusion accumulates prediction maps from previous stages to extract informative signals.,3245
+also prediction guide following at a to prior maps as The stages. resulting function,The resulting maps also function as a prior to guide prediction at following stages.,3246
+joints Direct is captured. passing spatial is enabled different and relation between message,Direct message passing between different joints is enabled and spatial relation is captured.,3247
+computational two limited These very require modules complexity.,These two modules require very limited computational complexity.,3248
+results method and Experimental LSP consistently that on MPII benchmark. outperforms methods previous our demonstrate,Experimental results demonstrate that our method consistently outperforms previous methods on MPII and LSP benchmark.,3249
+"the strategy an we this results alternative In interpret of paper, introduce to a CNN.","In this paper, we introduce an alternative strategy to interpret the results of a CNN.",3250
+to networks then detection. adversarial We our interpretable BoW example for propose exploit,We then propose to exploit our interpretable BoW networks for adversarial example detection.,3251
+across Convolutional achieved significant computer vision tasks. Networks Neural multiple have success,Convolutional Neural Networks have achieved significant success across multiple computer vision tasks.,3252
+and vision industry other tasks It the in research to community. promote is expected,It is expected to promote other vision tasks in the research and industry community.,3253
+of Web and virtually data. provide unlimited a platforms Social amount Media this multimodal,Web and Social Media platforms provide a virtually unlimited amount of this multimodal data.,3254
+CP-PLL derived. second-order of non-linear paper rigorously In this model is a,In this paper a non-linear second-order model of CP-PLL is rigorously derived.,3255
+of of model obtained the obviates second-order previously known The shortcomings CP-PLL. models,The obtained model obviates the shortcomings of previously known second-order models of CP-PLL.,3256
+for is the CP-PLL. Pull-in second-order estimated time obtained,Pull-in time is estimated for the obtained second-order CP-PLL.,3257
+potential Emerging biomedical significant (DL)-based have imaging. deep-learning to revolutionize techniques,Emerging deep-learning (DL)-based techniques have significant potential to revolutionize biomedical imaging.,3258
+"temporally phenomena. identify Furthermore, and we show rare low-certainty spatially regions can that biological","Furthermore, we show that low-certainty regions can identify spatially and temporally rare biological phenomena.",3259
+the attempts in models. have learning various explaining There been general numerous cognitive behaviours by,There have been numerous attempts in explaining the general learning behaviours by various cognitive models.,3260
+show is with experiments optimization Our other that approaches. method competitive our based,Our experiments show that our method is competitive with other optimization based approaches.,3261
+"antennas. modulation this reconfigurable the of on study paper, spatial based we In performance","In this paper, we study the performance of spatial modulation based on reconfigurable antennas.",3262
+"increasingly visual recovering become completion has tensor in Recently, data. low-rank attractive incomplete","Recently, low-rank tensor completion has become increasingly attractive in recovering incomplete visual data.",3263
+case. is matrix nuclear generalized tensor The case to the the truncated norm from,The truncated nuclear norm is generalized from the matrix case to the tensor case.,3264
+branches is learning. and learning in one the machine new Deep important of,Deep learning is one of the new and important branches in machine learning.,3265
+framework Learning a algorithms. Deep several contains is that important,Deep Learning is a framework that contains several important algorithms.,3266
+"results as networks the different above, are we and from said models very However, different.","However, as we said above, the results from different networks and models are very different.",3267
+"product accuracy, a build After a getting with we model high model.","After getting a model with high accuracy, we build a product model.",3268
+the highest MNIST also we and achieved level. LeNet sparsity architecture speedup For and,For MNIST and LeNet architecture we also achieved the highest sparsity and speedup level.,3269
+varying algorithm a We present of dominance characters virtual generating with data-driven gaits for traits.,We present a data-driven algorithm for generating gaits of virtual characters with varying dominance traits.,3270
+relationships our present an characters. application virtual between that approach We simulates also of interpersonal,We also present an application of our approach that simulates interpersonal relationships between virtual characters.,3271
+"data models. categorical panel or (quasi-)experimental data regressors,","categorical regressors, (quasi-)experimental data or panel data models.",3272
+estimation. and risk-optimal plug-in a We parameters penalty propose approach derive for,We derive risk-optimal penalty parameters and propose a plug-in approach for estimation.,3273
+asymptotic provide of schemes. different penalization distributions We under shrinkage the the estimators,We provide the asymptotic distributions of the shrinkage estimators under different penalization schemes.,3274
+finite reveal standard samples. simulations over Monte robust improvements Carlo methods in,Monte Carlo simulations reveal robust improvements over standard methods in finite samples.,3275
+"situations. temporal used many are In model real to temporal network different world planning, formalisms","In temporal planning, many different temporal network formalisms are used to model real world situations.",3276
+to difficulty planning poses many reinforcement major a algorithms. learning Long-term,Long-term planning poses a major difficulty to many reinforcement learning algorithms.,3277
+pronounced more environments. visual becomes in dynamic This even problem,This problem becomes even more pronounced in dynamic visual environments.,3278
+annotated voxels. used maps to the are train classifier a Those with supervised,Those maps are used to train a supervised classifier with the annotated voxels.,3279
+our setup have compared et Kiros al. We with,We have compared our setup with Kiros et al.,3280
+problem. Many low-rank approximation previous formulate as issue a matrix this approaches,Many previous approaches formulate this issue as a low-rank matrix approximation problem.,3281
+(TNNR) in method truncated real-world The applicable nuclear norm scenarios. regularization is,The truncated nuclear norm regularization (TNNR) method is applicable in real-world scenarios.,3282
+the the is The values than to TNNR. singular of number robust DW-TNNR more truncated,The DW-TNNR is more robust to the number of truncated singular values than the TNNR.,3283
+"In mechanism attention supervision. addition, to introduce the provide also additional we","In addition, we also introduce the attention mechanism to provide additional supervision.",3284
+a but future fantasy Predicting work. practicality is the,Predicting the future is a fantasy but practicality work.,3285
+inter-frame that synthetic is The predictions explicitly enforce learns future-frame to guided difference. by DGGAN,The DGGAN learns to explicitly enforce future-frame predictions that is guided by synthetic inter-frame difference.,3286
+"a to paths dual meta Given information. first generate DGGAN uses of frames, sequence","Given a sequence of frames, DGGAN first uses dual paths to generate meta information.",3287
+moving motion a from for We stereo learning independently system present objects videos. of,We present a system for learning motion of independently moving objects from stereo videos.,3288
+constraints Leveraging renders or via direct flow supervision maps depth geometric unnecessary.,Leveraging geometric constraints renders direct supervision via depth or flow maps unnecessary.,3289
+"fuse depth-guided Our a per-pixel predictions. network and mask, predicts to pixel-based used furthermore","Our network furthermore predicts a per-pixel mask, used to fuse depth-guided and pixel-based predictions.",3290
+"First, spatial map. both explore map and we eye-fixation saliency in correlations","First, we explore spatial correlations in both saliency map and eye-fixation map.",3291
+"a define Then, we that reliable saliency spatiotemporal learn correlations map.","Then, we learn spatiotemporal correlations that define a reliable saliency map.",3292
+"In experiments, of we definitions signals. video and our in locality spatiotemporal neighborhoods multiple explore","In our experiments, we explore multiple definitions of locality and neighborhoods in spatiotemporal video signals.",3293
+"algorithm proposed making for more natural generalization suitable is The most it to unsupervised, videos.","The proposed algorithm is unsupervised, making it more suitable for generalization to most natural videos.",3294
+"and customization it flexible content. is to video Also, for efficient computationally specific","Also, it is computationally efficient and flexible for customization to specific video content.",3295
+"fast, iris matching performance in is contingent segmentation. iris biometrics high-quality upon Subject","Subject matching performance in iris biometrics is contingent upon fast, high-quality iris segmentation.",3296
+efficient required designs effective provision. stack across achieve to QoS Novel and protocol the are,Novel designs across the protocol stack are required to achieve effective and efficient QoS provision.,3297
+performance effectively future highly resulting efficiency requirements applications. can and design stringent satisfy The of,The resulting design can effectively satisfy highly stringent performance and efficiency requirements of future applications.,3298
+a in image segmentation of processing. is Interactive many image topic studies,Interactive image segmentation is a topic of many studies in image processing.,3299
+segmentation a graph-based This for interactive with method paper presents stages. new two,This paper presents a new graph-based method for interactive segmentation with two stages.,3300
+"its proposed perform simplicity, accuracy. can Despite method the high task with the","Despite its simplicity, the proposed method can perform the task with high accuracy.",3301
+This forms. perception ownership assignment in of step the border is important an,This border ownership assignment is an important step in the perception of forms.,3302
+modern Region detection the cornerstone techniques. of are anchors object,Region anchors are the cornerstone of modern object detection techniques.,3303
+"this stage. paper, foundational this revisit we In","In this paper, we revisit this foundational stage.",3304
+study more that and effectively Our be it can shows done much efficiently.,Our study shows that it can be done much more effectively and efficiently.,3305
+performance. We use to study improve also the high-quality proposals of detection,We also study the use of high-quality proposals to improve detection performance.,3306
+scheme proposal into seamlessly integrated be can detectors. and methods The anchoring,The anchoring scheme can be seamlessly integrated into proposal methods and detectors.,3307
+over an set of consider signal vectors. a We of overcomplete decomposition the,We consider the decomposition of a signal over an overcomplete set of vectors.,3308
+in strong prevalent is for infancy animal across emerges A novelty the preference kingdom. and,A strong preference for novelty emerges in infancy and is prevalent across the animal kingdom.,3309
+dequantization. novel for architecture a propose first CNN color We,We first propose a novel CNN architecture for color dequantization.,3310
+GIF of adapt temporal We then network frames. the for interpolation SuperSlomo,We then adapt the SuperSlomo network for temporal interpolation of GIF frames.,3311
+"evaluation. and two namely introduce GIF-Faces and for We training large GIF-Moments, both datasets,","We introduce two large datasets, namely GIF-Faces and GIF-Moments, for both training and evaluation.",3312
+"methods, expressions of derived. both probability are closed-form For error","For both methods, closed-form expressions of error probability are derived.",3313
+"Monte-Carlo verified by simulations. analytical Finally, expressions are","Finally, analytical expressions are verified by Monte-Carlo simulations.",3314
+"scar a morphological by operations means is segmentation coarse of fast obtained. Secondly,","Secondly, by means of morphological operations a fast coarse scar segmentation is obtained.",3315
+"a the by segmentation Thirdly, refined CNNs. using strategy boundary-voxel an of reclassification ensemble is","Thirdly, the segmentation is refined by a boundary-voxel reclassification strategy using an ensemble of CNNs.",3316
+"reproduce ranges. Moreover, intra- variability the method the able inter-observer was to and","Moreover, the method was able to reproduce the intra- and inter-observer variability ranges.",3317
+transferred could is method be the clinical that to concluded scenarios. suitably It,It is concluded that the method could suitably be transferred to clinical scenarios.,3318
+these improvements several algorithmic artifacts. made We remove to,We made several algorithmic improvements to remove these artifacts.,3319
+right software community. by the and usable algorithm out-of-the-box pathology is Our computational,Our algorithm and software is usable right out-of-the-box by the computational pathology community.,3320
+"Amongst immune collectins them, players important defense. the in are antiviral innate","Amongst them, collectins are important players in the antiviral innate immune defense.",3321
+SP-D were for porcine effects (pSP-D). Similar observed,Similar effects were observed for porcine SP-D (pSP-D).,3322
+thickness biomarker used volume commonly imaging such Its or is as a diseases. surrogate for,Its volume or thickness is commonly used as a surrogate imaging biomarker for such diseases.,3323
+what face different of filters a Do know we the network represent?,Do we know what the different filters of a face network represent?,3324
+use to transfer other without train this tasks filter learning? Can we information,Can we use this filter information to train other tasks without transfer learning?,3325
+case the These estimators well in established the real are studied since seventies. and,These estimators are well established and studied in the real case since the seventies.,3326
+interest. Their has drawn recent to extension the case complex,Their extension to the complex case has drawn recent interest.,3327
+and vision of the SalSi human theory saliency the based system modeling (HVS). is on,SalSi is based on the saliency theory and modeling of the human vision system (HVS).,3328
+itself a diverse pool curating informative challenge. a Yet sufficiently images of and is,Yet curating a pool of sufficiently diverse and informative images is itself a challenge.,3329
+generation propose to active approach this issue. an image address We,We propose an active image generation approach to address this issue.,3330
+"system to without central result, collaborative do modeling As any server. users a our enables","As a result, our system enables users to do collaborative modeling without any central server.",3331
+of social make images machines in better beings. Discovering behavior the can relations interpret human,Discovering social relations in images can make machines better interpret the behavior of human beings.,3332
+"is graphs, graph performed social convolutional reasoning networks. relation the by Based on","Based on the graphs, social relation reasoning is performed by graph convolutional networks.",3333
+Extensive proposed on the framework. two the experiments datasets of public show effectiveness,Extensive experiments on two public datasets show the effectiveness of the proposed framework.,3334
+fading learn intelligently is can the statistics because of DNN the This channels.,This is because DNN can intelligently learn the statistics of the fading channels.,3335
+"is indexer, the crawler, the and PVSS modules: the constituted searcher. three of","PVSS is constituted of three modules: the crawler, the indexer, and the searcher.",3336
+by the will searched in target process. a progressive be vehicle The database,The target vehicle will be searched in the database by a progressive process.,3337
+We data finetune real pretraining after data. synthetic with with,We finetune with real data after pretraining with synthetic data.,3338
+"a the features texture. document handwritten new describing present this In we some paper, as","In this paper, we present some new features describing the handwritten document as a texture.",3339
+are on the Radon transform. features based These,These features are based on the Radon transform.,3340
+and obtained coarse documents. for classification can of easily suit be values the All,All values can be obtained easily and suit for the coarse classification of documents.,3341
+"existing perform allows network us The to approaches. part-level resulting manipulation, unattainable shape by","The resulting network allows us to perform part-level shape manipulation, unattainable by existing approaches.",3342
+We contextual in objects for propose model detecting adversarial an moving images.,We propose an adversarial contextual model for detecting moving objects in images.,3343
+"However, position shift problem, the multispectral i.e. suffers from real data","However, real multispectral data suffers from the position shift problem, i.e.",3344
+state-of-the-art outperforms experimental result DSMHN significantly The that demonstrates methods.,The experimental result demonstrates that DSMHN significantly outperforms state-of-the-art methods.,3345
+multiple parts. consist objects meaningful of semantically Hand-drawn usually,Hand-drawn objects usually consist of multiple semantically meaningful parts.,3346
+"model into segments neural symbols In this stroke-level that we a propose network components. paper,","In this paper, we propose a neural network model that segments symbols into stroke-level components.",3347
+the surpass Our of state art existing an segmentation small dataset. available methodologies on scores,Our segmentation scores surpass existing methodologies on an available small state of the art dataset.,3348
+the the We release to community. dataset,We release the dataset to the community.,3349
+"devices IoT this real time. approach, single-batch in to inferencing cooperate In conduct","In this approach, IoT devices cooperate to conduct single-batch inferencing in real time.",3350
+the paper addresses interpolating This of visual textures. problem,This paper addresses the problem of interpolating visual textures.,3351
+several robustness public on of datasets Experiments demonstrate the our and method. efficiency,Experiments on several public datasets demonstrate the efficiency and robustness of our method.,3352
+terrestrial of and networks. differentiate aqueous structure the to these between,aqueous and terrestrial to differentiate between the structure of these networks.,3353
+sources allows images. to GI one in color-biased estimate multiple or illumination,GI allows to estimate one or multiple illumination sources in color-biased images.,3354
+"it shapes recognize and However, patterns. considerably to difficult of is distorted because various its","However, it is considerably difficult to recognize because of its various shapes and distorted patterns.",3355
+and rectification network attention-based sequence of a recognition MORAN consists an network. The multi-object,The MORAN consists of a multi-object rectification network and an attention-based sequence recognition network.,3356
+network for rectifying is multi-object contain The text. that images irregular designed rectification,The multi-object rectification network is designed for rectifying images that contain irregular text.,3357
+the attention-based focuses and target outputs predictions. network sequentially on characters sequence recognition The,The attention-based sequence recognition network focuses on target characters and sequentially outputs the predictions.,3358
+"both MORAN read text. irregular With regular mechanism, scene can the and the rectification","With the rectification mechanism, the MORAN can read both regular and irregular scene text.",3359
+"which various achieves that on state-of-the-art show the MORAN benchmarks are performance. Extensive conducted, experiments","Extensive experiments on various benchmarks are conducted, which show that the MORAN achieves state-of-the-art performance.",3360
+structured learning Machine real-world in data systems with applications. deal regularly,Machine learning systems regularly deal with structured data in real-world applications.,3361
+"real-valued a vector of fixed, a pre-specified as size.","as a real-valued vector of a fixed, pre-specified size.",3362
+on adhesion the models We cell-cell assumptions. continuum underlying several discuss based microscopic,We discuss several continuum cell-cell adhesion models based on the underlying microscopic assumptions.,3363
+due cell-cell We finally to resulting repulsion. the behavior qualitative explore,We finally explore the resulting qualitative behavior due to cell-cell repulsion.,3364
+can influence This highlights the how curvature the Errera tissue rule. model of idealized,This idealized model highlights how the curvature of the tissue can influence Errera rule.,3365
+close salt has petroleum reservoirs The identification of exploration of domes. relationship a the with,The exploration of petroleum reservoirs has a close relationship with the identification of salt domes.,3366
+two-stage trade-off. detectors detectors the single-shot of surged accuracy-vs-speed have Recently in ahead,Recently two-stage detectors have surged ahead of single-shot detectors in the accuracy-vs-speed trade-off.,3367
+are Nevertheless detectors vision popular single-shot in applications. immensely embedded,Nevertheless single-shot detectors are immensely popular in embedded vision applications.,3368
+techniques. brings current This same to the single-shot up paper two-stage as detectors level,This paper brings single-shot detectors up to the same level as current two-stage techniques.,3369
+the call We resulting RetinaMask. network augmented,We call the resulting augmented network RetinaMask.,3370
+to attacks.  vulnerable recognition Prevailing are systems spoof  fingerprint,  Prevailing fingerprint recognition systems are vulnerable to spoof attacks.,3371
+"detection classification To approach one-class problem. a alleviate shortcoming, we this spoof as","To alleviate this shortcoming, we approach spoof detection as a one-class classification problem.",3372
+"relatively strict require applied procedures are control, use. for that conditions process In statistical their","In statistical process control, procedures are applied that require relatively strict conditions for their use.",3373
+"detection however, usually the the causes. increase charts, delay assignable control of in Robust","Robust control charts, however, usually increase the delay in the detection of assignable causes.",3374
+robust to solve approach propose fast and this We a problem.,We propose a fast and robust approach to solve this problem.,3375
+"geometric and to cues Moreover, propose combine matching. we cross-view appearance for","Moreover, we propose to combine geometric and appearance cues for cross-view matching.",3376
+Photorealism easily concept be is complex a that cannot formulated mathematically.,Photorealism is a complex concept that cannot easily be formulated mathematically.,3377
+the used measure aesthetics To image and elaborated. results is for a improve further,To further improve the results a measure for image aesthetics is used and elaborated.,3378
+autonomous state for Accurate estimation a robots. fundamental is problem,Accurate state estimation is a fundamental problem for autonomous robots.,3379
+"Within optimization, aligned coordinate. local estimations are a global into graph the","Within the graph optimization, local estimations are aligned into a global coordinate.",3380
+evaluate real-world public system of with datasets the We experiments. performance our on and,We evaluate the performance of our system on public datasets and with real-world experiments.,3381
+algorithms. state-of-the-art other against compared are Results,Results are compared against other state-of-the-art algorithms.,3382
+"challenging. an is Experimentally, however, estimation PRCs experimental of accurate","Experimentally, however, an accurate experimental estimation of PRCs is challenging.",3383
+representation the lower top-level image the of The combined and final of embeddings. embedding is,The final embedding of the image is combined representation of the lower and top-level embeddings.,3384
+"our Also, compared current we art state methods. work with of the","Also, we compared our work with current state of the art methods.",3385
+"ergonomic of them, in constraints. front to due","in front of them, due to ergonomic constraints.",3386
+"usable for classification is strategy automated Thus, diagnosis. the proposed keratocyst patch","Thus, the proposed patch classification strategy is usable for automated keratocyst diagnosis.",3387
+"However, make performed suitable to further for optimization use. must practical be it","However, further optimization must be performed to make it suitable for practical use.",3388
+low-level and detectors build descriptors tools on. are that tasks key many vision Feature higher-level,Feature detectors and descriptors are key low-level vision tools that many higher-level tasks build on.,3389
+high regime. results the information-guided The NUSM/NUBM in the is optimal reveal comparison that SNR,The comparison results reveal that the information-guided NUSM/NUBM is optimal in the high SNR regime.,3390
+to analysis. are results Numerical presented validate our,Numerical results are presented to validate our analysis.,3391
+"more equipped sensors on autonomous are more and increase and robustness ability. Nowadays, robots to","Nowadays, more and more sensors are equipped on robots to increase robustness and autonomous ability.",3392
+employed of sensor Few with them multiple be choices. can,Few of them can be employed with multiple sensor choices.,3393
+Every as our sensor a general treated factor framework. in is,Every sensor is treated as a general factor in our framework.,3394
+common Factors problem. state are share build which optimization summed together the variables to,Factors which share common state variables are summed together to build the optimization problem.,3395
+algorithms. state-of-the-art are against other compared Results,Results are compared against other state-of-the-art algorithms.,3396
+"for In series this downlink novel we a paper, propose of communication. multi-cell coordination schemes","In this paper, we propose a series of novel coordination schemes for multi-cell downlink communication.",3397
+"exchange is sharing data coordination CSI involves the need and only for the eliminated. Accordingly,","Accordingly, the coordination only involves CSI exchange and the need for sharing data is eliminated.",3398
+"imperfect all CSI proposed the For considered. schemes, is","For all the proposed schemes, imperfect CSI is considered.",3399
+terms deterministic transmission the of total power optimizations. minimize We and probabilistic in,We minimize the total transmission power in terms of probabilistic and deterministic optimizations.,3400
+to novel it generative images. when synthesising have models great Deep shown comes promise,Deep generative models have shown great promise when it comes to synthesising novel images.,3401
+"to metrics procedure training adapted The are the of task network, and fine-grained error sketching.","The network, error metrics and training procedure are adapted to the task of fine-grained sketching.",3402
+publicly dataset We will available. our make,We will make our dataset publicly available.,3403
+"this a we overcome cure GreedyNMS. to Pairwise-NMS To propose drawback,","To overcome this drawback, we propose a Pairwise-NMS to cure GreedyNMS.",3404
+transformation. image-to-image focuses suitable of the the objective over for function research Most,Most of the research focuses over the suitable objective function for image-to-image transformation.,3405
+"Adversarial this Networks a new we image-to-image transformation. In Cyclic-Synthesized for paper, Generative propose (CSGAN)","In this paper, we propose a new Cyclic-Synthesized Generative Adversarial Networks (CSGAN) for image-to-image transformation.",3406
+Content-based detection role important in preventing adult pornography. video an plays,Content-based adult video detection plays an important role in preventing pornography.,3407
+"usually However, multi-modality existing seldom semantics and on focus representation. modality single rely methods on","However, existing methods usually rely on single modality and seldom focus on multi-modality semantics representation.",3408
+"patterns first, in and are visual-frames. salient and analyzed respective-ly At periodic regions audio-frames","At first, periodic patterns and salient regions are respective-ly analyzed in audio-frames and visual-frames.",3409
+"periodicity visual multi-modal by the with combining audio is co-occurrence saliency. Next, described semantics","Next, the multi-modal co-occurrence semantics is described by combining audio periodicity with visual saliency.",3410
+"step. performance of the Moreover, step evaluated by is approach our","Moreover, the performance of our approach is evaluated step by step.",3411
+outper-forms our results Experimental that state-of-the-art approach some obviously show methods.,Experimental results show that our approach obviously outper-forms some state-of-the-art methods.,3412
+"studied well previous works. in However, this has not been problem","However, this problem has not been well studied in previous works.",3413
+richer results than finer able to is model details annotations. has produce which segmentation Our,Our model is able to produce finer segmentation results which has richer details than annotations.,3414
+single best not liver a algorithm and found that We for performed tumors.,We found that not a single algorithm performed best for liver and tumors.,3415
+accuracy. DCT the detection showed highest method experimental that has the vehicle The results,The experimental results showed that the DCT method has the highest vehicle detection accuracy.,3416
+hard these is past. because includes the signs the Capturing context,Capturing these signs is hard because the context includes the past.,3417
+color to and algorithm image denoising. MBWPNM the adopt then multispectral We,We then adopt the MBWPNM algorithm to color and multispectral image denoising.,3418
+make There them of are that attractive. several strengths methods imaging,There are several strengths of imaging methods that make them attractive.,3419
+"low-cost ubiquitous cameras solutions for often Furthermore, are sensing. and","Furthermore, cameras are ubiquitous and often low-cost solutions for sensing.",3420
+We the to that physiological of will sensing this hope non-contact advancement toolbox contribute methods.,We hope that this toolbox will contribute to the advancement of non-contact physiological sensing methods.,3421
+systems. interaction hand gesture-based segmentation role an Hand detection play indispensable fingertip in human-machine and,Hand segmentation and fingertip detection play an indispensable role in hand gesture-based human-machine interaction systems.,3422
+image a foreground is in editing. Replacing the objects challenging and background simultaneously adjusting task,Replacing the background and simultaneously adjusting foreground objects is a challenging task in image editing.,3423
+"a network, called fish-like we goal, design FishNet. this Towards","Towards this goal, we design a fish-like network, called FishNet.",3424
+"the information for task. the final and of is preserved resolutions In refined FishNet, all","In FishNet, the information of all resolutions is preserved and refined for the final task.",3425
+this better problem. can design handle Our,Our design can better handle this problem.,3426
+demonstrate to experiments of Extensive the been have the remarkable performance FishNet. conducted,Extensive experiments have been conducted to demonstrate the remarkable performance of the FishNet.,3427
+fast retrieval. image reduction for coded dimension The features are hash binary after,The features after dimension reduction are binary hash coded for fast image retrieval.,3428
+"concepts complex internal creating for recent the we present of auditory models environment. cognitive First,","First, we present recent cognitive concepts for creating internal models of the complex auditory environment.",3429
+"lymphatic transport Cranial of fluids, immune CNS (LVs) and macromolecules in responses. are involved vessels","Cranial lymphatic vessels (LVs) are involved in transport of fluids, macromolecules and CNS immune responses.",3430
+extensively and remodel LVs injury. are Spinal spinal after cord VEGF-C-dependent,Spinal LVs are VEGF-C-dependent and remodel extensively after spinal cord injury.,3431
+in and order then to is the separate subtraction foreground. applied background the Background,Background subtraction is then applied in order to separate the background and the foreground.,3432
+"of in camera, are investigated environments. foreground challenges objects Thus, terms and","Thus, challenges are investigated in terms of camera, foreground objects and environments.",3433
+point correspondences views. using three these relationship among further We geometrical refine,We further refine these point correspondences using geometrical relationship among three views.,3434
+on slides. based tissue of visual examination cancer Histopathological diagnosis is stained,Histopathological cancer diagnosis is based on visual examination of stained tissue slides.,3435
+routinely is and Hematoxylin eosin worldwide. (H\&E) employed stain standard a,Hematoxylin and eosin (H\&E) is a standard stain routinely employed worldwide.,3436
+the IHC slide. can proteins staining These be by target of limitations overcome of tissue,These limitations can be overcome by IHC staining of target proteins of the tissue slide.,3437
+"are challenging, is there supervision. no available example translations as This especially when","This is challenging, especially when there are no example translations available as supervision.",3438
+"and Prior each mix a train generated with network comparison, data. of works, in real","Prior works, in comparison, train each network with a mix of real and generated data.",3439
+"into discuss algorithms, then them broad three grouping reconstruction generations. We","We then discuss reconstruction algorithms, grouping them into three broad generations.",3440
+"video frames computing is time-consuming. However, very from flow","However, computing flow from video frames is very time-consuming.",3441
+performance by good and layouts cross-validation. Our general shows on results approach qualitative,Our approach shows good performance on general layouts by qualitative results and cross-validation.,3442
+mismatch. Most optimization attempt output-target minimize an methods to that problems such solve,Most such methods attempt to solve optimization problems that minimize an output-target mismatch.,3443
+"Often, and given. are naturally not handcrafted rewards those","Often, those rewards are handcrafted and not naturally given.",3444
+"we the related at factors have risk. key to students Then, found strongly","Then, we have found key factors strongly related to the students at risk.",3445
+"drop out. order it in is not Therefore, the to lectures attend crucial to","Therefore, it is crucial to attend the lectures in order not to drop out.",3446
+show has a that Experiment remarkable effect. results theory approximation the asymptotic,Experiment results show that the asymptotic theory has a remarkable approximation effect.,3447
+"are using validated Monte simulation. the Finally, expressions Carlo mathematical the","Finally, the mathematical expressions are validated using the Monte Carlo simulation.",3448
+the has The to method applied been matching stereo problem. proposed,The proposed method has been applied to the stereo matching problem.,3449
+unorganized images is reconstruction computer task many from in important vision RGB applications. Scene an,Scene reconstruction from unorganized RGB images is an important task in many computer vision applications.,3450
+for the practically neural often useful sampling of data. Numerical techniques decoding real are,Numerical sampling techniques are often practically useful for the decoding of real neural data.,3451
+over parameters. characterized We by neural neuron sensory consider distribution a populations,We consider sensory neural populations characterized by a distribution over neuron parameters.,3452
+the comparison filtering with approximation. quality of Numerical particle the demonstrates,Numerical comparison with particle filtering demonstrates the quality of the approximation.,3453
+detection news role of in an important video analysis. videos news plays Format,Format detection of news videos plays an important role in news video analysis.,3454
+the Probabilistic progressive used edges. band Hough detection for transform of has been,Probabilistic progressive Hough transform has been used for the detection of band edges.,3455
+"generated text natural images, bands detected are and The (non-text) as classified bands. computer graphics","The detected bands are classified as natural images, computer generated graphics (non-text) and text bands.",3456
+per-point learn define features. a loss to Our self-supervision function approach rich to relevant leverages,Our approach leverages self-supervision to define a relevant loss function to learn rich per-point features.,3457
+information We point's geometric into of local use to latent incorporate representation. each structures point-clouds,We use local structures of point-clouds to incorporate geometric information into each point's latent representation.,3458
+through the applications. point-wise three our meaningful We to capture demonstrate ability method of features,We demonstrate the ability of our method to capture meaningful point-wise features through three applications.,3459
+"embedding space, By perform clouds. learned we unsupervised the clustering point part-segmentation on","By clustering the learned embedding space, we perform unsupervised part-segmentation on point clouds.",3460
+semantic we latent in point-analogies. derive By distance the euclidean calculating space,By calculating euclidean distance in the latent space we derive semantic point-analogies.,3461
+effectively layers in networks. neural hidden captured of are,are effectively captured in hidden layers of neural networks.,3462
+The image main a deep architecture Encoder-Decoder learning segmentation. is biomedical for stream model,The Encoder-Decoder architecture is a main stream deep learning model for biomedical image segmentation.,3463
+"such are still decoders under-explored architectures. in However,","However, decoders are still under-explored in such architectures.",3464
+"active acquire As network data, is in network nature. learns the our to","As our network learns to acquire data, the network is active in nature.",3465
+Carlo signals supervision two created search are Monte through The tree (MCTS).,The two supervision signals are created through Monte Carlo tree search (MCTS).,3466
+Digital analysis remote image or enables algorithms. pathology and access consults powerful,Digital pathology enables remote access or consults and powerful image analysis algorithms.,3467
+"(OOF). process digitization However, can such artifacts as create the slide out-of-focus","However, the slide digitization process can create artifacts such as out-of-focus (OOF).",3468
+"potentially is only detected OOF workflow upon review, rescanning careful and delays. causing often","OOF is often only detected upon careful review, potentially causing rescanning and workflow delays.",3469
+multiple of We approach with computational the cost also our evaluated measurements.,We also evaluated the computational cost of our approach with multiple measurements.,3470
+effectively large monitoring for in be scale used screening. methods temperature patient Contactless could,Contactless temperature monitoring methods could be used effectively in large scale for patient screening.,3471
+Near-infrared convenient thermography to be for has and accurate temperature profiling. proven,Near-infrared thermography has proven to be convenient and accurate for temperature profiling.,3472
+cancer leading death Lung cause is of worldwide. Objective: the cancer-related,Objective: Lung cancer is the leading cause of cancer-related death worldwide.,3473
+"using sequencers radiomic interpretation challenge. a such predictions However, the of made remains","However, the interpretation of predictions made using such radiomic sequencers remains a challenge.",3474
+on and correspondences. based state-of-the-art transformation estimation This synthetic proposals paper both eleven evaluates descriptor,This paper evaluates eleven state-of-the-art transformation estimation proposals on both descriptor based and synthetic correspondences.,3475
+"these evaluate addition, In also methods. the we efficiencies of","In addition, we also evaluate the efficiencies of these methods.",3476
+"estimation and merits, application of these the Finally, methods demerits tested transformation guidance summarized. are","Finally, the merits, demerits and application guidance of these tested transformation estimation methods are summarized.",3477
+It is parameters each distinct segment. the to are that assume common within,It is common to assume that the parameters are distinct within each segment.,3478
+"balanced clustering paper, consumption proposed. In (BECC) is a energy algorithm this","In this paper, a balanced energy consumption clustering algorithm (BECC) is proposed.",3479
+scheme sensor new energy cluster-based algorithm heterogeneous a is designed networks. wireless This for,This new scheme is a cluster-based algorithm designed for heterogeneous energy wireless sensor networks.,3480
+animation obtainable easily prior method uses Our data.,Our method uses easily obtainable prior animation data.,3481
+can monocular a input. only our convincing We method video that show generate using animations,We show that our method can generate convincing animations using only a monocular video input.,3482
+two-area of demonstrated Kundur is system. in system the proposed The effectiveness the,The effectiveness of the proposed system is demonstrated in the Kundur two-area system.,3483
+"the are errors applied. measures as latter such mean objective square comparisons, For","For the latter comparisons, objective measures such as mean square errors are applied.",3484
+estimation. optical quality mostly visual of on frames flow interpolated based,visual quality of interpolated frames mostly based on optical flow estimation.,3485
+"of article introduces This suite programs regularized for Stata. a lassopack, in regression","This article introduces lassopack, a suite of programs for regularized regression in Stata.",3486
+"and ridge elastic post-estimation square-root lassopack adaptive net, lasso, lasso regression, implements lasso, OLS.","lassopack implements lasso, square-root lasso, elastic net, ridge regression, adaptive lasso and post-estimation OLS.",3487
+each theoretical approach. the framework practical considerations discuss for We and,We discuss the theoretical framework and practical considerations for each approach.,3488
+of to penalization Carlo performance Monte present results compare the We also the approaches.,We also present Monte Carlo results to compare the performance of the penalization approaches.,3489
+"during under-utilization the particularly testing, classification modalities, This of hinder can accuracy method. of the","This under-utilization of modalities, particularly during testing, can hinder the classification accuracy of the method.",3490
+radio. still technology developing amateur still APRS among exists is and,APRS technology is still exists and still developing among amateur radio.,3491
+"in APRS. Indonesia utilize still use there not people and many However, are who","However, in Indonesia there are still not many people who use and utilize APRS.",3492
+for a non-matching The result in coalescent algorithm enumerating histories case. simplified the provides caterpillar,The result provides a simplified algorithm for enumerating coalescent histories in the non-matching caterpillar case.,3493
+"These trade-offs efficiency fidelity, compression capabilities. and across provide","These provide trade-offs across fidelity, efficiency and compression capabilities.",3494
+"the all be can subproblems solved analytically. algorithm, In the","In the algorithm, all the subproblems can be solved analytically.",3495
+"subproblem in can be except subproblems performed Moreover, all parallel. one","Moreover, all subproblems except one subproblem can be performed in parallel.",3496
+examples variants. consensus-ADMM and algorithm show proposed its Numerical effectiveness of the the,Numerical examples show the effectiveness of the proposed consensus-ADMM algorithm and its variants.,3497
+conditions presented. are disease the for of and permanence The extinction the,The conditions for the extinction and permanence of the disease are presented.,3498
+the algorithm. are offered and empirical results Both support to theoretical,Both theoretical and empirical results are offered to support the algorithm.,3499
+achievable blocklength adopted. is finite rate under regime data The,The achievable data rate under finite blocklength regime is adopted.,3500
+iterative algorithm problem. perturbation-based proposed is solve A this to novel,A novel perturbation-based iterative algorithm is proposed to solve this problem.,3501
+the to requirements. design parameters We antenna optimal evaluate,We evaluate the optimal antenna parameters to design requirements.,3502
+us estimate allows simultaneously. This the to deformations geometric correspondence and,This allows us to estimate the correspondence and geometric deformations simultaneously.,3503
+from attention both Neural industrial transfer field. drawn has academic considerable and style,Neural style transfer has drawn considerable attention from both academic and industrial field.,3504
+"transfer we limitations paper, style tackle by an developing this In attention-aware multi-stroke these model.","In this paper, we tackle these limitations by developing an attention-aware multi-stroke style transfer model.",3505
+system A exponential analysis utilized sample obtain results. Lyapunov extinction the to for is,A sample Lyapunov exponential analysis for the system is utilized to obtain extinction results.,3506
+develop procedure free on model a We a predicate. inference likelihood conditioning for a probabilistic,We develop a likelihood free inference procedure for conditioning a probabilistic model on a predicate.,3507
+predicate function a a question is domain. expresses a which yes/no A valued Boolean about,A predicate is a Boolean valued function which expresses a yes/no question about a domain.,3508
+thus method termed is MUSIC. one-bit as resulting The,The resulting method is thus termed as one-bit MUSIC.,3509
+"However, for. the unaccounted still speckle leaves this","However, this still leaves the speckle unaccounted for.",3510
+"the of to However, micro-expressions. changes spatiotemporal subtle challenging recognition still micro-expression is the due","However, the micro-expression recognition is still challenging due to the subtle spatiotemporal changes of micro-expressions.",3511
+manual optimized and by an end-to-end manner It is design. feature obviates,It is optimized by an end-to-end manner and obviates manual feature design.,3512
+train to DDPG use algorithm an expert We agent. original,We use DDPG algorithm to train an original expert agent.,3513
+"detection splicing. plays image identifying an image in role such tampering, important Resampling as","Resampling detection plays an important role in identifying image tampering, such as image splicing.",3514
+"the study, compare the versions a of smoother. In we different of simulation performance","In a simulation study, we compare the performance of different versions of the smoother.",3515
+"hardware relays, ideal Many research assuming etc.) (source, attempts previous","Many previous research attempts assuming ideal hardware (source, relays, etc.)",3516
+"valid fact, this for assumption low-rate still is systems. In","In fact, this assumption is still valid for low-rate systems.",3517
+"presented. and simulation Finally, numerical results are","Finally, numerical and simulation results are presented.",3518
+Each plug-and-play a iteration inversion involves denoising model by the step. followed the forward of,Each plug-and-play iteration involves the inversion of the forward model followed by a denoising step.,3519
+"into result. the incorporate optimization framework a can hard Moreover, we as constraints easily","Moreover, we can easily incorporate hard constraints into the optimization framework as a result.",3520
+and proposals for imaging. demonstrate We single-photon super-resolution our the effectiveness of,We demonstrate the effectiveness of our proposals for super-resolution and single-photon imaging.,3521
+in image underwater proposed have algorithms last enhancement years. been few the Numerous,Numerous underwater image enhancement algorithms have been proposed in the last few years.,3522
+"few selected datasets using real-world evaluated are However, mainly synthetic or images. algorithms these either","However, these algorithms are mainly evaluated using either synthetic datasets or few selected real-world images.",3523
+statistics of performance the the Pareto modified algorithm. the of The data good shows HS,The statistics of the Pareto data shows the good performance of the modified HS algorithm.,3524
+Hardware communication systems. main restrictions among are upcoming wireless for performance non-idealities the,Hardware non-idealities are among the main performance restrictions for upcoming wireless communication systems.,3525
+parameters optimize iterative propose signals. transmit the We two to improper algorithms of the,We propose two iterative algorithms to optimize the parameters of the improper transmit signals.,3526
+HWD. show two-user the We IC performance improve the IGS can with that of additive,We show that IGS can improve the performance of the two-user IC with additive HWD.,3527
+image compression by is Ultrasound task. key a speckle-based challenging information preserving,Ultrasound image compression by preserving speckle-based key information is a challenging task.,3528
+two building generalizability build We using variants demonstrate blocks of the to compressor. the,We demonstrate generalizability of the building blocks using two variants to build the compressor.,3529
+We to as speckle compression work a standards. image envision this serve roadmap for frame,We envision this frame work to serve as a roadmap for speckle image compression standards.,3530
+"video-based the problem this pedestrian In tackle approach. we first of recognition attribute paper, by","In this paper, we first tackle the problem of pedestrian attribute recognition by video-based approach.",3531
+Pavement critical crack task is a insuring safety. for detection road,Pavement crack detection is a critical task for insuring road safety.,3532
+"crack an detection boost this required to is road method automatic progress. Therefore,","Therefore, an automatic road crack detection method is required to boost this progress.",3533
+images. Our of MS effectiveness the show significantly the results lesion of synthetic usage,Our results significantly show the effectiveness of the usage of synthetic MS lesion images.,3534
+the counting applications transportation numerous Classifying traffic engineering has road in and in domain. vehicles,Classifying and counting vehicles in road traffic has numerous applications in the transportation engineering domain.,3535
+"the (two-wheelers, cars, However, three-wheelers, of buses, variety vehicles etc.) trucks wide","However, the wide variety of vehicles (two-wheelers, three-wheelers, cars, buses, trucks etc.)",3536
+exams. yield different techniques Digitization for images visual in radiological biomedical patterns,Digitization techniques for biomedical images yield different visual patterns in radiological exams.,3537
+"different focus this datasets. paper, improving across of we In kinds on ability generalization the","In this paper, we focus on improving the generalization ability across different kinds of datasets.",3538
+on silhouettes. We the and truly rasterizer non-parametric based first present differentiable,We present the first non-parametric and truly differentiable rasterizer based on silhouettes.,3539
+results. challenging MOT is state-of-the-art the and benchmarks on method the The achieves evaluated,The method is evaluated on the challenging MOT benchmarks and achieves the state-of-the-art results.,3540
+"solutions. numerical proposed examples, that designs we show, robust through outperform non-robust Furthermore, significantly the","Furthermore, we show, through numerical examples, that the proposed robust designs significantly outperform non-robust solutions.",3541
+"method to lost Moreover, values. us the pixel proposed restore enables","Moreover, the proposed method enables us to restore lost pixel values.",3542
+holes information typically methods Existing inpainting image from fill surrounding borrowing by pixels.,Existing image inpainting methods typically fill holes by borrowing information from surrounding pixels.,3543
+processes. implement interest of services great to Web Data-intensive data-intensive are,Data-intensive Web services are of great interest to implement data-intensive processes.,3544
+"two will particular, new introduce In heuristics, we i.e.","In particular, we will introduce two new heuristics, i.e.",3545
+"in Longest Subsequence(LCS) crossover of operators. Common designing services, distance","Longest Common Subsequence(LCS) distance of services, in designing crossover operators.",3546
+"a search services of technique local will incorporating proposed. be new Additionally, distance","Additionally, a new local search technique incorporating distance of services will be proposed.",3547
+"high-dimensional to and technique be this scaled Unfortunately, such cannot as hyperspectral color images. data","Unfortunately, this technique cannot be scaled to high-dimensional data such as color and hyperspectral images.",3548
+The for used filtering. resulting be means algorithm also nonlocal can,The resulting algorithm can also be used for nonlocal means filtering.,3549
+NAS of the This wide tasks. limitation impedes large-scale on use,This limitation impedes the wide use of NAS on large-scale tasks.,3550
+is chosen as one The best the basic architecture.,The best one is chosen as the basic architecture.,3551
+process is architecture. The with help of basic the large-scale accelerated the search,The large-scale search process is accelerated with the help of the basic architecture.,3552
+architecture-level we but transfer. mechanism NAS a a not propose method only What for is,What we propose is not only a NAS method but a mechanism for architecture-level transfer.,3553
+a computer systems. component vision subtraction Background is of significant,Background subtraction is a significant component of computer vision systems.,3554
+"object widely anomaly used in detection, tracking, It video is surveillance, etc.","It is widely used in video surveillance, object tracking, anomaly detection, etc.",3555
+designed incurred A preprocessing influences reduce the by is to strategy depth sensors. from noise,A preprocessing strategy is designed to reduce the influences incurred by noise from depth sensors.,3556
+the on regularization. One successful of learning is approaches consistency based in semi-supervised the,One of the successful approaches in semi-supervised learning is based on the consistency regularization.,3557
+"existing Unfortunately, do targets. not quality the teacher the assess methods of","Unfortunately, existing methods do not assess the quality of the teacher targets.",3558
+decoupled to further novel encourage difference. a model We framework introduce,We further introduce a novel decoupled framework to encourage model difference.,3559
+improved via The is several strategy of validated proposed performance experiments. the,The improved performance of the proposed strategy is validated via several experiments.,3560
+of a network. multi-scale encoder convolutional is and composed attention SAFE a scale,SAFE is composed of a multi-scale convolutional encoder and a scale attention network.,3561
+"the problem it extracting explicitly from features characters. First, scale-invariant the scale tackles by","First, it explicitly tackles the scale problem by extracting scale-invariant features from the characters.",3562
+"transfer of Second, scales. different the learning character it can encoding feature across","Second, it can transfer the learning of feature encoding across different character scales.",3563
+divisions. modifications such very DNA over methylation general in stable many as cell Epigenetic are,Epigenetic modifications such as DNA methylation are in general very stable over many cell divisions.,3564
+model Our at (i.e. deterministic molecular happening several hybrid decribes events either points,Our hybrid model decribes several molecular events either happening at deterministic points (i.e.,3565
+mouse time-resolved test cells We data. our using embryonic on model stem,We test our model on mouse embryonic stem cells using time-resolved data.,3566
+on with prediction. Experiments depth methods both other semantic compared are and labeling,Experiments are compared with other methods on both semantic labeling and depth prediction.,3567
+the addresses safety paper assessment. of task This road,This paper addresses the task of road safety assessment.,3568
+US states. our evaluated on We large images of two dataset real-world a approach from,We evaluated our approach on a large dataset of real-world images from two US states.,3569
+"we alternating optimization. geometry for formulate programming linear an First, problem","First, we formulate an alternating linear programming problem for geometry optimization.",3570
+\AD{We with of extensions. framework our specifications and functional a illustrate variety,\AD{We illustrate our framework with a variety of functional specifications and extensions.,3571
+using concatenation proposed architecture The connection. by can and dense multi-level capture more features,The proposed architecture can capture more multi-level features by using concatenation and dense connection.,3572
+is density The on vibration based probability non-Gaussian then noises the from distribution. extracted Gaussian,The non-Gaussian vibration is then extracted from Gaussian noises based on the probability density distribution.,3573
+images favorable reports taken on under in illumination Most segmentation daytime semantic conditions. progress,Most progress in semantic segmentation reports on daytime images taken under favorable illumination conditions.,3574
+Battery-powered IoT many now critical applications. wireless widely devices seen in are,Battery-powered wireless IoT devices are now widely seen in many critical applications.,3575
+is demonstrate design. advantage used of to baseline the A our scheme,A baseline scheme is used to demonstrate the advantage of our design.,3576
+to due still very challenging similar (e.g. appearances It is,It is still very challenging due to similar appearances (e.g.,3577
+"via the occurs manipulation On training tasks, data. engagement the of supervised the user","On supervised tasks, the user engagement occurs via the manipulation of the training data.",3578
+"algorithms unsupervised employed of on of depends heavily feature. the result the type Therefore,","Therefore, the result of unsupervised algorithms heavily depends on the type of employed feature.",3579
+a system barrier. can invaluable The mitigate be such to proposed,The proposed system can be invaluable to mitigate such a barrier.,3580
+diabetes. retinopathy is Diabetic complication the of most important,Diabetic retinopathy is the most important complication of diabetes.,3581
+diagnosis or to retinal of blindness. loss avoid visual lesions Early helps,Early diagnosis of retinal lesions helps to avoid visual loss or blindness.,3582
+"could detailed information. loses the Although input the simplify downsampling it images problem,","Although downsampling the input images could simplify the problem, it loses detailed information.",3583
+"that are two The jointly ensuring are streams mutually. they optimized, enhanced","The two streams are jointly optimized, ensuring that they are enhanced mutually.",3584
+"are with and MobileNet. ResNet conducted namely, CNN two The experiments architectures","The experiments are conducted with two CNN architectures namely, ResNet and MobileNet.",3585
+validate proposed using scheme and data. data We in-vivo the simulated,We validate the proposed scheme using simulated data and in-vivo data.,3586
+deep when to Person problem. this learning great re-ID are improvement achieves methods tackle introduced,Person re-ID achieves great improvement when deep learning methods are introduced to tackle this problem.,3587
+ geometry a Orienting problem normals correctly is surface fundamental  consistently processing. and in,  Orienting surface normals correctly and consistently is a fundamental problem in geometry processing.,3588
+multiple approach evaluate correctness the real-world our cloud speed We on point and of datasets.,We evaluate the correctness and speed of our approach on multiple real-world point cloud datasets.,3589
+applied to methods of We time normal a clear compression speech. compare series and,We compare a series of time compression methods applied to normal and clear speech.,3590
+high-dimensional small size. data sample The method proposed a for with appealing is,The proposed method is appealing for high-dimensional data with a small sample size.,3591
+and The approaches advantages disadvantages. each TPV FPV have and,The FPV and TPV approaches each have advantages and disadvantages.,3592
+"unified aim them learning framework. we into Therefore, combine a to deep","Therefore, we aim to combine them into a unified deep learning framework.",3593
+"benchmark dataset we also this performance Besides various the dataset, with the on approaches.","Besides the dataset, we also benchmark the performance on this dataset with various approaches.",3594
+"label dependent. of application is the definition However, a often","However, the definition of a label is often application dependent.",3595
+granularity. We as label this to refer,We refer to this as label granularity.,3596
+"efficiency labels training. data enhance Moreover, in CNN fine-grain","Moreover, fine-grain labels enhance data efficiency in CNN training.",3597
+present consistent detection. object optimization stage We for single,We present consistent optimization for single stage object detection.,3598
+"its choices design various we based effectiveness, state-of-the-art conduct evaluate To RetinaNet the detector. on","To evaluate its effectiveness, we conduct various design choices based on the state-of-the-art RetinaNet detector.",3599
+been has control of strategy outbreaks. the unforeseen main For epidemic centuries isolation,For centuries isolation has been the main control strategy of unforeseen epidemic outbreaks.,3600
+"full When implemented effective. is isolation delay, in and very without","When implemented in full and without delay, isolation is very effective.",3601
+"However, flawless in seldom implementation feasible practice. is","However, flawless implementation is seldom feasible in practice.",3602
+IoT for connectivity the range door wireless applications. new opens Long,Long range wireless connectivity opens the door for new IoT applications.,3603
+with embedded long-distance paper interaction technologies introduces energy-constraint This devices. for,This paper introduces technologies for long-distance interaction with energy-constraint embedded devices.,3604
+and platform for strategies the It management the proposes transmission. for sleepy power,It proposes sleepy strategies for power management for the platform and the transmission.,3605
+Spatial resonance imaging critical magnetic (MRI). in resolution a imaging parameter is,Spatial resolution is a critical imaging parameter in magnetic resonance imaging (MRI).,3606
+of serious the medical examples. more becomes degradation for training problem to due images This,This problem becomes more serious for medical images due to the degradation of training examples.,3607
+"becomes deeper deal channels different discriminatively. on with and the network the subfeatures Thus, can","Thus, the network becomes deeper and can deal with the subfeatures on different channels discriminatively.",3608
+distortions global first to and The employs generate local shape strategy variations.,The first strategy employs local and global distortions to generate shape variations.,3609
+into get HMEs HME variations. structural online strategy sub-online to second more an decomposes The,The second strategy decomposes an online HME into sub-online HMEs to get more structural variations.,3610
+these to The strategy structural variations. strategies hybrid combines both maximize shape and,The hybrid strategy combines both these strategies to maximize shape and structural variations.,3611
+offline images to generated HMEs HME The recognition. converted for online are,The generated online HMEs are converted to images for offline HME recognition.,3612
+These in competitive recent compared others are results to literature. reported,These results are competitive compared to others reported in recent literature.,3613
+for its advertisements. Times incessant Square notorious display of is,Times Square is notorious for its incessant display of advertisements.,3614
+other arise as in well. Advertisements mediums,Advertisements arise in other mediums as well.,3615
+for unavoidable consumers. companies attractive are nearly and to They,They are attractive to companies and nearly unavoidable for consumers.,3616
+"a of industry. important billion-dollar effectiveness to impacting video Therefore, is advertisements measuring","Therefore, measuring effectiveness of video advertisements is important to impacting a billion-dollar industry.",3617
+"scenes. complex However, under task image challenging, is this quite especially vision","However, this vision task is quite challenging, especially under complex image scenes.",3618
+information these by coarse prediction performance refined are structural effectively The results for improvements.,The coarse prediction results are effectively refined by these structural information for performance improvements.,3619
+"and endomicroscopy In has become years, for used diagnostic purposes increasingly guidance. recent interventional","In recent years, endomicroscopy has become increasingly used for diagnostic purposes and interventional guidance.",3620
+assessment. study quantitative A Mean (MOS) image Score quality Opinion confirms this also,A Mean Opinion Score (MOS) study also confirms this quantitative image quality assessment.,3621
+in neural method We deep differentiable novel image propose networks. transformation for image sampling a,We propose a novel image sampling method for differentiable image transformation in deep neural networks.,3622
+is neighbors. due This on to reliance strict direct their,This is due to their strict reliance on direct neighbors.,3623
+formula differentiable image. transformed use the approximation as this We then for a,We then use this approximation as a differentiable formula for the transformed image.,3624
+show multi-scale it. that compare approach we our with We and sampling outperform,We compare our approach with multi-scale sampling and show that we outperform it.,3625
+"learning Recently, have the dominated methods field of on based deep recognition. text","Recently, methods based on deep learning have dominated the field of text recognition.",3626
+"achieve large data, With most the a of number training performances. them of can state-of-the-art","With a large number of training data, most of them can achieve the state-of-the-art performances.",3627
+The publicly available and dataset code will soon. be,The code and dataset will be publicly available soon.,3628
+together with term manner. metric in the confusion We an adversarial train this conventional objective,We train this confusion term together with the conventional metric objective in an adversarial manner.,3629
+"more a to field. diverse designs Moreover, it receptive receptive field provide block enhancement","Moreover, it designs a receptive field enhancement block to provide more diverse receptive field.",3630
+"sequences However, computationally with these identifying is intensive. algorithms traditional","However, identifying these sequences with traditional algorithms is computationally intensive.",3631
+faster. similarity achieves and high It RepeatMasker times is to,It achieves high similarity to RepeatMasker and is times faster.,3632
+"excellent performance the scheme. simulation Additionally, results we the to present proposed extensive of validate","Additionally, we present extensive simulation results to validate the excellent performance of the proposed scheme.",3633
+prior atlas using an method. based were Brain measured automated volumes,Brain volumes were measured using an atlas prior based automated method.,3634
+Bayley-III. assessed the One-year with outcome was,One-year outcome was assessed with the Bayley-III.,3635
+for a biomarker CHD patients as cerebral outcome. serve in Reduced im-paired volumes could,Reduced cerebral volumes in CHD patients could serve as a biomarker for im-paired outcome.,3636
+"attention of visualizations. EVE cross-modal explainability the demonstrate we Finally, through","Finally, we demonstrate the explainability of EVE through cross-modal attention visualizations.",3637
+relies accuracy the approaches on of facial heavily landmarks. Traditional,Traditional approaches heavily relies on the accuracy of facial landmarks.,3638
+to adopted Integrating get is the prediction. final regression,Integrating regression is adopted to get the final prediction.,3639
+The evaluated challenging on three benchmarks. approach proposed is,The proposed approach is evaluated on three challenging benchmarks.,3640
+been code has The Github. on released,The code has been released on Github.,3641
+visual neural be and particularly Deep audio recognition tasks. networks to have proven effective in,Deep neural networks have proven to be particularly effective in visual and audio recognition tasks.,3642
+research based of trends. future include also analysis thorough for a on current We proposals,We also include proposals for future research based on a thorough analysis of current trends.,3643
+Face home and office security. in have problems wide face applications detection and recognition,Face detection and face recognition problems have wide applications in home and office security.,3644
+"can detected faces Using uncontrolled be system, in environments. this","Using this system, faces can be detected in uncontrolled environments.",3645
+are used Trajectories to often applications. encode computer vision several information long-temporal in,Trajectories are often used to encode long-temporal information in several computer vision applications.,3646
+"For problem, in this results superpixels. our disconnected","For our problem, this results in disconnected superpixels.",3647
+position edges addition We similarity. and to for based exploit trajectory constraints in color,We exploit constraints for edges in addition to trajectory based color and position similarity.,3648
+"to components are additional layers, another pooling important learning. convolutional layers of deep In","In additional to convolutional layers, pooling layers are another important components of deep learning.",3649
+"However, pooling currently. methods have been for no graphs developed effective","However, no effective pooling methods have been developed for graphs currently.",3650
+features and hConv receptive increasing capable fields of automatically. The is layer quickly computing,The hConv layer is capable of increasing receptive fields quickly and computing features automatically.,3651
+was radar introduced the properties model describe to the previously clutter this of Although .,Although this model was previously introduced to describe the clutter properties of the radar .,3652
+"the hinders performance. two in methods, which overall are current there However, the problems","However, there are two problems in the current methods, which hinders the overall performance.",3653
+require such learning train and as to Common the re-sampling cost-sensitive prior-knowledge system. techniques,Common techniques such as re-sampling and cost-sensitive learning require prior-knowledge to train the system.,3654
+stored information time and (WM) memory allows short be to manipulated Working scales. over,Working memory (WM) allows information to be stored and manipulated over short time scales.,3655
+"in dominated system with Before assembly heredity? nucleotides, era, what pre-RNA the","Before assembly with nucleotides, in the pre-RNA era, what system dominated heredity?",3656
+of competition? What was survival subject the,What was the subject of survival competition?,3657
+competition? subject a Is still it of,Is it still a subject of competition?,3658
+"hysteresis. is However, there the and heritability argument corroborating relationship between no","However, there is no argument corroborating the relationship between heritability and hysteresis.",3659
+words. analogy on statistics and created lexical are relations context-based representations using Word,Word representations are created using analogy context-based statistics and lexical relations on words.,3660
+for in Understanding are Natural the representations tasks. (NLU) Language inputs learning Word models,Word representations are inputs for the learning models in Natural Language Understanding (NLU) tasks.,3661
+"sufficient. only to knowing language, not understand However, context the is","However, to understand language, knowing only the context is not sufficient.",3662
+lines Reading a between of the is NLU. key component,Reading between the lines is a key component of NLU.,3663
+not Embedding context enhances word are represented the the in which representation. deeper word relationships,Embedding deeper word relationships which are not represented in the context enhances the word representation.,3664
+"word Map Self-Organizing it. order optimize fine-tune used is to In to the representation,","In order to fine-tune the word representation, Self-Organizing Map is used to optimize it.",3665
+reference compared available We methods. with performance freely also,We also compared performance with freely available reference methods.,3666
+"network best-performing anatomical the both predicting and lesion Overall, examined. was the labels DeepSCAN network","Overall, the DeepSCAN network predicting both lesion and anatomical labels was the best-performing network examined.",3667
+"data widely Graph have and been learning. graph-structured studied for Convolutional Networks (GCNs) representation Recently,","Recently, Graph Convolutional Networks (GCNs) have been widely studied for graph-structured data representation and learning.",3668
+"task. MGAL, on we provide network semi-supervised then for unified learning a Based","Based on MGAL, we then provide a unified network for semi-supervised learning task.",3669
+MGAL the effectiveness experimental model. results of demonstrate Promising,Promising experimental results demonstrate the effectiveness of MGAL model.,3670
+graphic generation. important for scene Layout is design and,Layout is important for graphic design and scene generation.,3671
+critical layouts. for Accurate is alignment good,Accurate alignment is critical for good layouts.,3672
+maximize to explored and were A expression. signal sequences of propeptide set diverse peptides,A diverse set of signal peptides and propeptide sequences were explored to maximize expression.,3673
+source problem a   cooperative seeking paper studies the multi-vehicle networked system. via This,  This paper studies the cooperative source seeking problem via a networked multi-vehicle system.,3674
+controllers effectiveness The quadratic is for the proved scalar fields. of proposed,The effectiveness of the proposed controllers is proved for quadratic scalar fields.,3675
+"illustrative results. are Finally, validate the included theoretical examples to","Finally, illustrative examples are included to validate the theoretical results.",3676
+computer translation is difficult Image-to-image problem vision. and in long-established a a,Image-to-image translation is a long-established and a difficult problem in computer vision.,3677
+this we image-to-image In paper for model propose based translation. an adversarial,In this paper we propose an adversarial based model for image-to-image translation.,3678
+generative Our conditional based probability on model adversarial approach. a works network,Our generative adversarial network based model works on a conditional probability approach.,3679
+has Image-to-image proven produce than to Unsupervised translation. This better Multimodal results method,This method has proven to produce better results than Multimodal Unsupervised Image-to-image translation.,3680
+of spontaneous underlying states Facial emotional Micro-expression facialexpressions. (MER) distinguishes subtle the Recognition,Facial Micro-expression Recognition (MER) distinguishes the underlying emotional states of spontaneous subtle facialexpressions.,3681
+"Nevertheless, to works separate modules two due dividethem existing non-linearity. their into","Nevertheless, existing works dividethem into two separate modules due to their non-linearity.",3682
+"approaches. these propose we are unknown, two parameters When","When these parameters are unknown, we propose two approaches.",3683
+"under the is auspices of source the Arbor HBP. developed open software,","Arbor is open source software, developed under the auspices of the HBP.",3684
+"approaches we In paper, bottom-up this competitively. still that perform show","In this paper, we show that bottom-up approaches still perform competitively.",3685
+the aligned. if into keypoints are We geometrically bounding box group a they five,We group the five keypoints into a bounding box if they are geometrically aligned.,3686
+that has boosted powerful performance on architecture various Cascade classic tasks. yet a is,Cascade is a classic yet powerful architecture that has boosted performance on various tasks.,3687
+"segmentation cascade remains how to However, open question. to instance introduce an","However, how to introduce cascade to instance segmentation remains an open question.",3688
+combination Cascade only gain. simple A brings of and R-CNN Mask R-CNN limited,A simple combination of Cascade R-CNN and Mask R-CNN only brings limited gain.,3689
+"definitely errors. will this to lead recognition applying In closed-set methods case, unseen-category","In this case, applying closed-set recognition methods will definitely lead to unseen-category errors.",3690
+"methods. even ODN can performance achieve Moreover, closed-set comparable to some","Moreover, ODN can even achieve comparable performance to some closed-set methods.",3691
+"difficult parts avoid However, to it accurately. between is self-intersection body","However, it is difficult to avoid self-intersection between body parts accurately.",3692
+"is term the First, the region. the self-intersection self-intersection defined of as volume penalty","First, the self-intersection penalty term is defined as the volume of the self-intersection region.",3693
+(kernels) predetermined have shapes weights. and sparsities only and Typical learn filters,Typical filters (kernels) have predetermined shapes and sparsities and learn only weights.,3694
+and fix only A feature learn sparsities. shapes extraction weights methods and few,A few feature extraction methods fix weights and learn only shapes and sparsities.,3695
+and constraints learning predetermined optimal extracting These restrict features.,These predetermined constraints restrict learning and extracting optimal features.,3696
+"campaign a introduced. unmanned-aerial-vehicle this channels paper, conducted is measurement for recently (UAV) In","In this paper, a recently conducted measurement campaign for unmanned-aerial-vehicle (UAV) channels is introduced.",3697
+Five routes and considered. vertical five horizontal were flight,Five horizontal and five vertical flight routes were considered.,3698
+in (OCT) become tomography the has important most Optical modality ophthalmology. coherence imaging,Optical coherence tomography (OCT) has become the most important imaging modality in ophthalmology.,3699
+"model with images segmentation source First, we a device. on OCT a train acquired","First, we train a segmentation model on images acquired with a source OCT device.",3700
+imbalanced in object appear ratios. classes Real-world,Real-world object classes appear in imbalanced ratios.,3701
+which a classifiers poses challenge towards get frequent biased significant for This classes.,This poses a significant challenge for classifiers which get biased towards frequent classes.,3702
+"two of underlying The i.e. requirements face progression, age","The two underlying requirements of face age progression, i.e.",3703
+"literature. permanence, accuracy are in not the aging and identity studied well","aging accuracy and identity permanence, are not well studied in the literature.",3704
+show assessments quantitative advances visual Both the the and that approach state-of-the-art.,Both visual and quantitative assessments show that the approach advances the state-of-the-art.,3705
+"the in Second, probability evidence with annotations removed. the map are building no","Second, the annotations with no evidence in the building probability map are removed.",3706
+"adversarial a using propose compressed framework generative JPEG Hence, images we generates novel networks. that","Hence, we propose a novel framework that generates JPEG compressed images using generative adversarial networks.",3707
+layer to proposed is operations. enable block-based The locally connected,The locally connected layer is proposed to enable block-based operations.,3708
+approach ethics. a machine to fuzzy paper reasoning This describes,This paper describes a fuzzy reasoning approach to machine ethics.,3709
+method propose select clustering classes. to a the We based representative,We propose a clustering based method to select the representative classes.,3710
+method proposed that results the generation Experimental the CAM obviously. show improves,Experimental results show that the proposed method improves the CAM generation obviously.,3711
+"angle load for are estimating presented. the and Finally, slip tire novel algorithms","Finally, novel algorithms for estimating the tire load and slip angle are presented.",3712
+Experimental effectiveness the algorithms. of proposed the results demonstrate,Experimental results demonstrate the effectiveness of the proposed algorithms.,3713
+sparsity image in been utilized sensing self-similarity have widely Nonlocal and (CS). compressive group,Nonlocal self-similarity and group sparsity have been widely utilized in image compressive sensing (CS).,3714
+methods two into can approaches. Existing and categorized bottom-up groups: be top-down,Existing methods can be categorized into two groups: top-down and bottom-up approaches.,3715
+"among generic object candidates. Firstly, human we methods a to state-of-the-art detector detect choose","Firstly, we choose a generic object detector among state-of-the-art methods to detect human candidates.",3716
+"corresponding pyramid Then, pose. cascaded the network estimate used human to the is","Then, the cascaded pyramid network is used to estimate the corresponding human pose.",3717
+conduct We experiments configurations. of ablative models extensive validate and various to choices,We conduct extensive ablative experiments to validate various choices of models and configurations.,3718
+modulation to is robust and approach more noise can This different techniques. with cope,This approach is more robust to noise and can cope with different modulation techniques.,3719
+"statistical transient. the from of energy Then, extracted a features is set","Then, a set of statistical features is extracted from the energy transient.",3720
+"to selected fed Finally, learning algorithms for several machine are classification. features","Finally, selected features are fed to several machine learning algorithms for classification.",3721
+signals wirelessly are oscilloscope. a using recorded high-frequency The,The signals are recorded wirelessly using a high-frequency oscilloscope.,3722
+for and tested methods results ratio reported. Proposed levels (SNR) are different are signal-to-noise also,Proposed methods are also tested for different signal-to-noise ratio (SNR) levels and results are reported.,3723
+on using integral approximations and deconvolution Proposed methods direct transforms. non-blind base without,Proposed methods base on direct non-blind deconvolution without using approximations and integral transforms.,3724
+be data. adapted may multi-dimensional Methods of for reconstruction,Methods may be adapted for reconstruction of multi-dimensional data.,3725
+presented. comparative combined and is analysis step-by-step The shifts of methods,The comparative analysis of step-by-step and combined shifts methods is presented.,3726
+and considered. restorations signal of reconstructions distortions are at different image Examples,Examples of signal reconstructions and image restorations at different distortions are considered.,3727
+on of depend applications of image used. efficiency vision the algorithms computer variety A matching,A variety of computer vision applications depend on the efficiency of image matching algorithms used.,3728
+features in match detect descriptors designed Various are to and images.,Various descriptors are designed to detect and match features in images.,3729
+time. need Deployment in for mobile computation low this algorithms applications creates of a,Deployment of this algorithms in mobile applications creates a need for low computation time.,3730
+"often order matched decrease of time In compromised. is to quality keypoints complexity,","In order to decrease time complexity, quality of keypoints matched is often compromised.",3731
+infers regions or image. object for in one more an detection object Region-based categories,Region-based object detection infers object regions for one or more categories in an image.,3732
+"R-DAD, into proposed In multiple the first an object decompose region we regions. small","In the proposed R-DAD, we first decompose an object region into multiple small regions.",3733
+"can its You nothing imagine experience, appearance your given more.","You can imagine its appearance given your experience, nothing more.",3734
+previous are Results and proposal. any other outperform impressive,Results are impressive and outperform any other previous proposal.,3735
+Learning significant datasets models unbiased challenge. imbalanced is on a,Learning unbiased models on imbalanced datasets is a significant challenge.,3736
+estimation as uncertainty epistemic This framework dropout retrieval. Bayesian using in a approximation enables,This enables epistemic uncertainty estimation using dropout as a Bayesian approximation framework in retrieval.,3737
+"leveraged boost Monte is to Carlo (MC) Accordingly, sampling performance. retrieval","Accordingly, Monte Carlo (MC) sampling is leveraged to boost retrieval performance.",3738
+car evaluated driving. approach person Our applications: two is autonomous re-identification on and,Our approach is evaluated on two applications: person re-identification and autonomous car driving.,3739
+state-of-the-art on datasets Comparable are achieved application. the results multiple for former,Comparable state-of-the-art results are achieved on multiple datasets for the former application.,3740
+application. autonomous driving (HDD) We the for Honda dataset leverage driving car,We leverage the Honda driving dataset (HDD) for autonomous car driving application.,3741
+notions and ego-motion It provides for similarity modalities understanding. action multiple,It provides multiple modalities and similarity notions for ego-motion action understanding.,3742
+"present we Hence, conditional network. a retrieval multi-modal","Hence, we present a multi-modal conditional retrieval network.",3743
+representations separate disentangles It embeddings different encode to into similarities.,It disentangles embeddings into separate representations to encode different similarities.,3744
+been a energy principle function. has The as free proposed brain unifying account of,The free energy principle has been proposed as a unifying account of brain function.,3745
+"clarifies distinctive article predictions. and shared apart This these connections, teasing","This article clarifies these connections, teasing apart distinctive and shared predictions.",3746
+image posed is transformation aligns as The problem that a given pair. geometric finding the,The problem is posed as finding the geometric transformation that aligns a given image pair.,3747
+and dataset train benchmark Proposal-Flow approach test standard our (PF-PASCAL)\cite{proposal_flow}. on We a,We train and test our approach on a standard benchmark dataset Proposal-Flow (PF-PASCAL)\cite{proposal_flow}.,3748
+approach proposed the The results the demonstrating of state-of-the-art method. effectiveness achieves,The proposed approach achieves state-of-the-art results demonstrating the effectiveness of the method.,3749
+performance. translation the FID to is The used evaluate quantitatively,The FID is used to quantitatively evaluate the translation performance.,3750
+and unsupervised of unpaired with optical also The explored. learning SAR images possibility is,The possibility of unsupervised learning with unpaired SAR and optical images is also explored.,3751
+"of our the is the To best there literature. application similar documented knowledge, in no","To the best of our knowledge, there is no similar application documented in the literature.",3752
+"and to scenes. specifically, More street use LiDAR cameras scan we","More specifically, we use LiDAR and cameras to scan street scenes.",3753
+composite and sensor images models. viewpoints can with The be re-synthesized different,The composite images can be re-synthesized with different viewpoints and sensor models.,3754
+"traditional approaches, unmatched Compared offers method scalability to and our realism.","Compared to traditional approaches, our method offers unmatched scalability and realism.",3755
+these we images quantitative multiple projections obtain From angiography maps. and simultaneously,From these images we simultaneously obtain angiography projections and multiple quantitative maps.,3756
+image-to-image in state-of-the-art impressive results unsupervised yielded works Several translation. have the GANs-based,Several state-of-the-art works have yielded impressive results in the GANs-based unsupervised image-to-image translation.,3757
+"accurately-annotated these indispensably on achievements However, the rely datasets.","However, these achievements indispensably rely on the accurately-annotated datasets.",3758
+"usefulness design samples. correctly-labeled re-weighting hard Next, the strategy preserve of a to we sample","Next, we design a sample re-weighting strategy to preserve the usefulness of correctly-labeled hard samples.",3759
+"very and Our promising proposed skin results. validated on lesion method is achieved classification task,","Our proposed method is validated on skin lesion classification task, and achieved very promising results.",3760
+"for two However, are treatment there method. drawbacks this","However, there are two drawbacks for this treatment method.",3761
+research Biometrics-related deep  been technology. learning has significantly by accelerated ,  Biometrics-related research has been accelerated significantly by deep learning technology.,3762
+commodity real-time creating video hardware. a present method summaries in for We on,We present a method for creating video summaries in real-time on commodity hardware.,3763
+"discard use low-level features First, undesirable are frames. to","First, low-level features are use to discard undesirable frames.",3764
+"are segment. and segment-level extracted divided segments, each Next, features for video into is","Next, video is divided into segments, and segment-level features are extracted for each segment.",3765
+learning research. visual largely problem computer remains Unsupervised in representation unsolved vision a,Unsupervised visual representation learning remains a largely unsolved problem in computer vision research.,3766
+classification to loss embedding a boost regularizer We as feature performance. employ triplet,We employ triplet loss as a feature embedding regularizer to boost classification performance.,3767
+generality pretrained fine-tuning This promotes while networks.,This promotes generality while fine-tuning pretrained networks.,3768
+recently embedding proposed is regularizers. loss powerful surrogate for Triplet a,Triplet loss is a powerful surrogate for recently proposed embedding regularizers.,3769
+"requirement is high avoided to batch-size computational and due large cost. Yet, it","Yet, it is avoided due to large batch-size requirement and high computational cost.",3770
+"these assumptions. we re-assess Through experiments, our","Through our experiments, we re-assess these assumptions.",3771
+"network supports During tasks without embedding and both our inference, classification any overhead. computational","During inference, our network supports both classification and embedding tasks without any computational overhead.",3772
+steady Quantitative recognition a five datasets. improvement on evaluation highlights fine-grained,Quantitative evaluation highlights a steady improvement on five fine-grained recognition datasets.,3773
+evaluation dataset imbalanced video achieves on improvement. significant an Further,Further evaluation on an imbalanced video dataset achieves significant improvement.,3774
+loss embedding brings Triplet characteristics models. to classification nearest neighbor feature like,Triplet loss brings feature embedding characteristics like nearest neighbor to classification models.,3775
+of the demonstrate our Our experiments utility approach.,Our experiments demonstrate the utility of our approach.,3776
+depth as Monocular is ill-posed ambiguous and often an estimation described problem. inherently,Monocular depth estimation is often described as an ill-posed and inherently ambiguous problem.,3777
+contribute depth All to accurate factors in estimation. these difficulty,All these factors contribute to difficulty in accurate depth estimation.,3778
+then We papers understand these made over the and improvements one another. compare,We then compare these papers and understand the improvements made over one another.,3779
+"explore potential better we Finally, this aid problem. improvements can to that solve","Finally, we explore potential improvements that can aid to better solve this problem.",3780
+performance? is in pre-training and the ii) effective furthering the,and ii) is the pre-training effective in furthering the performance?,3781
+"question, answer the second several we carried To experiments. out ablation","To answer the second question, we carried out several ablation experiments.",3782
+"systems scheme open an question. the the Hence, for best remains UL maMIMO still","Hence, the best scheme for the UL maMIMO systems still remains an open question.",3783
+synthetic face effect Such recognition on have algorithms. adverse alterations,Such synthetic alterations have adverse effect on face recognition algorithms.,3784
+"searching, multi-camera Each represents of end-of-track. different a and three tracking, status track: stages","Each status represents three different stages of a multi-camera track: tracking, searching, and end-of-track.",3785
+tracked tracking status are a targets single camera by The tracker. means,The tracking status means targets are tracked by a single camera tracker.,3786
+"other are targets examined the searching the In disappeared reappear they in if status, cameras.","In the searching status, the disappeared targets are examined if they reappear in other cameras.",3787
+the target status network exited its due the invisibility. The end-of-track camera to does lengthy,The end-of-track status does the target exited the camera network due to its lengthy invisibility.,3788
+to trees track-hypothesis tracking. three assists multi-camera the for status form These MHT,These three status assists MHT to form the track-hypothesis trees for multi-camera tracking.,3789
+"a gating of Furthermore, they for unlikely association. observation-to-track technique present eliminating","Furthermore, they present a gating technique for eliminating of unlikely observation-to-track association.",3790
+"can operate the real-time they that show proposed and in In method online. addition,","In addition, they show that the proposed method can operate in real-time and online.",3791
+the of simulation verify used unified proposed the approach. are results The to effectiveness,The simulation results are used to verify the effectiveness of the proposed unified approach.,3792
+takes using learning-based towards Scrabble steps self-play. a thesis building This agent,This thesis takes steps towards building a learning-based Scrabble agent using self-play.,3793
+and light-weight this crucial scalable is while architectures problem. Designing addressing,Designing scalable and light-weight architectures is crucial while addressing this problem.,3794
+the predict entire single reconstruction approaches point a based directly cloud point-cloud in stage. Existing,Existing point-cloud based reconstruction approaches directly predict the entire point cloud in a single stage.,3795
+"that are uniform point dense. accurate, generates clouds method and Our","Our method generates point clouds that are accurate, uniform and dense.",3796
+base will We our code make available. fully,We will make our code base fully available.,3797
+introduce the We of scene-aware task dialog.,We introduce the task of scene-aware dialog.,3798
+"Scene-Aware Dialog this the benchmark (AVSD) Dataset. To Visual introduce Audio task, we","To benchmark this task, we introduce the Audio Visual Scene-Aware Dialog (AVSD) Dataset.",3799
+arbitrary Periodicity length signal noisy costly. computationally very is an estimation from,Periodicity estimation from an arbitrary length noisy signal is computationally very costly.,3800
+"mask. FCNN the trained soft In is the the methodology proposed, using","In the methodology proposed, the FCNN is trained using the soft mask.",3801
+"than larger of available, forgery comparable, datasets. publicly This over is an order magnitude dataset","This dataset is over an order of magnitude larger than comparable, publicly available, forgery datasets.",3802
+"data, on a performed we thorough detectors. Based of data-driven forgery this analysis","Based on this data, we performed a thorough analysis of data-driven forgery detectors.",3803
+Experiments PRN and perform on real rainy PReNet both that images. and favorably synthetic show,Experiments show that PRN and PReNet perform favorably on both synthetic and real rainy images.,3804
+"when This e.g. issue automatic tools, is processing particular a","This is a particular issue when automatic processing tools, e.g.",3805
+"later employed quantitative image segmentation methods, biomarkers are for measures derive to or analyses.","image segmentation methods, are employed to derive quantitative measures or biomarkers for later analyses.",3806
+QC each visual feasible segmentation Manual and scale. of inspection isn't large at,Manual inspection and visual QC of each segmentation isn't feasible at large scale.,3807
+a then into separated segment image use cooperative to classes. technique We two,We then use a cooperative technique to segment image into two separated classes.,3808
+"Additionally, sum a applicable operator object system. the general to from a is extended","Additionally, the applicable object is extended from a sum operator to a general system.",3809
+the introduced are methodology. illustrate the to flexibility numerical and of Three performed examples applicability,Three numerical examples are performed to illustrate the applicability and flexibility of the introduced methodology.,3810
+communication. require communications and visible simultaneous illumination Indoor (VLC) light,Indoor visible light communications (VLC) require simultaneous illumination and communication.,3811
+"have codes systems. Recently, output proposed multiple VLC been multiple input for (MIMO)","Recently, codes have been proposed for multiple input multiple output (MIMO) VLC systems.",3812
+"for illumination dimming not considered been uniform control along However, has VLC systems. MIMO with","However, uniform illumination along with dimming control has not been considered for MIMO VLC systems.",3813
+"proposed codes. We Hamming present run-length, the and the rate, distance for for code expressions","We present the expressions for code rate, run-length, and Hamming distance for the proposed codes.",3814
+"in of type be problems, some the different. multiple might data views Furthermore,","Furthermore, in some problems, the data type of multiple views might be different.",3815
+the proposed demonstrate studies algorithm. on Empirical real-world data sets multiple of our effectiveness Deep-MTMV,Empirical studies on multiple real-world data sets demonstrate the effectiveness of our proposed Deep-MTMV algorithm.,3816
+frequency are rotation depolarization and suitable combinations Waveplate for discussed. fast sequence,Waveplate sequence and rotation frequency combinations suitable for fast depolarization are discussed.,3817
+constellations signal the are optimized. all of entry size Both and,Both the size and entry of all signal constellations are optimized.,3818
+"Specifically, use size we for optimization. design the suggest recursive of a","Specifically, we suggest the use of a recursive design for size optimization.",3819
+"convolutional (FCNs). been semantic in Recently, networks results have fully using state-of-the-art achieved segmentation","Recently, state-of-the-art results have been achieved in semantic segmentation using fully convolutional networks (FCNs).",3820
+only information truth the frameworks by maps. exploit class Such segmentation using ground,Such frameworks only exploit class information by using the ground truth segmentation maps.,3821
+"different model multi-modal domains, handles from information The i.e. sources","The model handles multi-modal information sources from different domains, i.e.",3822
+used bias background constraint to as is patch texturing. environmental image An,An image background patch is used as constraint to bias environmental texturing.,3823
+point-cloud directly applied the is within (Point-Net). global function A generator the on approximation,A global approximation function within the generator is directly applied on the point-cloud (Point-Net).,3824
+of image. viewpoint and bias the used the are generated to background Conditions the,Conditions are used to bias the background and the viewpoint of the generated image.,3825
+predominantly are of action. subject primary videos humans performing The these some,The primary subject of these videos are predominantly humans performing some action.,3826
+video anywhere proposals. automated range inter-action between applications from human-computer editing to The can,The applications can range from anywhere between human-computer inter-action to automated video editing proposals.,3827
+"we localization. spatiotemporal action we with recognition, action deal When consider","When we consider spatiotemporal action recognition, we deal with action localization.",3828
+class approach novel a for We present (CNN) based classification. one Convolutional Network Neural,We present a novel Convolutional Neural Network (CNN) based approach for one class classification.,3829
+achieves proposed the recent the over Extensive experiments demonstrate methods. improvements method state-of-the-art that significant,Extensive experiments demonstrate that the proposed method achieves significant improvements over the recent state-of-the-art methods.,3830
+github.com/otkupjnoz/oc-cnn. source available The code at is :,The source code is available at : github.com/otkupjnoz/oc-cnn.,3831
+cells and observed heterogeneity often Phenotypic cancer in is resistance. drug to linked is widely,Phenotypic heterogeneity in cancer cells is widely observed and is often linked to drug resistance.,3832
+training prototypes all The to are learnt of be data. representative,The prototypes are learnt to be representative of all training data.,3833
+as an to test-time encoding classifier. we input At this a utilize,At test-time we utilize this encoding as an input to a classifier.,3834
+We on conduct benchmark experiments datasets. extensive,We conduct extensive experiments on benchmark datasets.,3835
+"Our outperforms specific the method DA). FSL, (ZSL, methods state-of-art contexts trained for","Our method outperforms state-of-art methods trained for the specific contexts (ZSL, FSL, DA).",3836
+propagation essential. the knowledge is Accurate mm-wave and of fundamental channels,Accurate knowledge of the mm-wave propagation channels is fundamental and essential.,3837
+end-to-end Convolutional for called fine-grained (CoCoNet). an We network Collaborative present deep visual categorization Network,We present an end-to-end deep network for fine-grained visual categorization called Collaborative Convolutional Network (CoCoNet).,3838
+shows method proposed parts its outperforms consistently. ablation constituent The that the study,The ablation study shows that the proposed method outperforms its constituent parts consistently.,3839
+outperforms CoCoNet state-of-the-art also methods. competing few,CoCoNet also outperforms few state-of-the-art competing methods.,3840
+into These be network features neural taken end-to-end visual inputs. an will as next,These visual features will be next taken into an end-to-end neural network as inputs.,3841
+method generate AMOS described. semiautomatic is to used Patches The,The semiautomatic method used to generate AMOS Patches is described.,3842
+"clustering and selection. It selection, viewpoint patch includes camera","It includes camera selection, viewpoint clustering and patch selection.",3843
+"patches. the source both we as as registered For training, the provide full well images","For training, we provide both the registered full source images as well as the patches.",3844
+on changes matching benchmarks. state-of-the-art illumination achieves standard It under in,It achieves state-of-the-art in matching under illumination changes on standard benchmarks.,3845
+"Networks Recently, proposed, limitation. can this help which are (CapsNets) eliminating Capsule","Recently, Capsule Networks (CapsNets) are proposed, which can help eliminating this limitation.",3846
+"introduce (PS) reduce capsules. of To the parameters, Parameter-Sharing the between number we mechanism","To reduce the number of parameters, we introduce the Parameter-Sharing (PS) mechanism between capsules.",3847
+the two accuracy classification The proposed in folds. improves WS-DAN,The proposed WS-DAN improves the classification accuracy in two folds.,3848
+"spatiotemporal the By for our we further need labeling. human anomaly doing, without enlarge dataset","By doing, we enlarge our spatiotemporal anomaly dataset without the need for further human labeling.",3849
+"network for two-stream this we a recognition. paper, present fashion In multi-task","In this paper, we present a two-stream multi-task network for fashion recognition.",3850
+"have field. monocular estimation deep-convolutional-neural-networks achieved methods depth based results in promising Recently, the","Recently, deep-convolutional-neural-networks based methods have achieved promising results in the monocular depth estimation field.",3851
+"to propose we this In attention-based network tackle these aggregation paper, context difficulties. (ACAN) an","In this paper, we propose an attention-based context aggregation network (ACAN) to tackle these difficulties.",3852
+"recast dense classification as depth we a labeling First, monocular problem. estimation multi-class the","First, we recast the monocular depth estimation as a dense labeling multi-class classification problem.",3853
+two handle Probability theory and germane information. represent and to theories Dempster-Shafer are theory uncertain,Probability theory and Dempster-Shafer theory are two germane theories to represent and handle uncertain information.,3854
+in in images satellite first-step many remote an detection sensing important is applications. Cloud,Cloud detection in satellite images is an important first-step in many remote sensing applications.,3855
+are This limited problem more spectral available. only is number a of bands challenging when,This problem is more challenging when only a limited number of spectral bands are available.,3856
+"To is this in algorithm deep proposed paper. address a problem, learning-based this","To address this problem, a deep learning-based algorithm is proposed in this paper.",3857
+"proposed an end-to-end is solution, no required. the step method pre-processing is Since complicated","Since the proposed method is an end-to-end solution, no complicated pre-processing step is required.",3858
+extensively fitting perspectives. random been has and studied the from Multi-model sampling clustering,Multi-model fitting has been extensively studied from the random sampling and clustering perspectives.,3859
+"are In words, other network. embedded clusters through of together closer points same the the","In other words, points of the same clusters are embedded closer together through the network.",3860
+fitting multi-model promising with well. tasks as made on also Comparisons are single-type results,Comparisons are also made on single-type multi-model fitting tasks with promising results as well.,3861
+orientation voxel-wise Each one of orientation the principal tract. tract map represents,Each tract orientation map represents the voxel-wise principal orientation of one tract.,3862
+with automatic extensions These bundle-specific accuracy. creation the unseen of previously enable tractograms,These extensions enable the automatic creation of bundle-specific tractograms with previously unseen accuracy.,3863
+for CVNN is a channel as single with a entity. complex-valued dealing communication suitable fading,CVNN is suitable for dealing with a fading communication channel as a single complex-valued entity.,3864
+"Hence, accuracy. limited stationary gives an prediction only empirically network selected","Hence, an empirically selected stationary network gives only limited prediction accuracy.",3865
+We simulations its wireless-propagation in real online adaptability experiments. and demonstrate,We demonstrate its online adaptability in simulations and real wireless-propagation experiments.,3866
+"network training accelerates conventional with significantly also methods. RLD deep compared Furthermore,","Furthermore, RLD also significantly accelerates deep network training compared with conventional methods.",3867
+"under In present HCV this analysis therapy. the we a paper, of model global","In this paper, we present the global analysis of a HCV model under therapy.",3868
+of SDTS-based our Experimental demonstrate effectiveness the method. results,Experimental results demonstrate the effectiveness of our SDTS-based method.,3869
+risk. express phrases often estimated Verbal to are used probability,Verbal probability phrases are often used to express estimated risk.,3870
+studied these before. of been not phrases Many had,Many of these phrases had not been studied before.,3871
+The presented context were in situations. phrases the ordinary of,The phrases were presented in the context of ordinary situations.,3872
+with was native their statisticians Dutch distributed survey The non-statisticians both language. as and among,The survey was distributed among both statisticians and non-statisticians with Dutch as their native language.,3873
+"Furthermore, Dutch the asymmetry an interpretation of in demonstrated the results phrases. complementary","Furthermore, the results demonstrated an asymmetry in the interpretation of Dutch complementary phrases.",3874
+"may Therefore, for be miscommunication. expressions probability a risk verbal","Therefore, verbal probability expressions may be a risk for miscommunication.",3875
+The accurate its landmark to estimation learns network how estimate is.,The network learns to estimate how accurate its landmark estimation is.,3876
+experiments the evaluate the correlation validation The last accuracy. signal of the landmark with,The last experiments evaluate the correlation of the validation signal with the landmark accuracy.,3877
+experiments three performed datasets. All were for all,All experiments were performed for all three datasets.,3878
+apply Ordered Weighted operator decision-making. multi-criteria the We in Averaging (OWA),We apply the Ordered Weighted Averaging (OWA) operator in multi-criteria decision-making.,3879
+"now. until system in has However, idea fuzzy been not this applied","However, this idea has not been applied in fuzzy system until now.",3880
+the of We order discuss review number. mechanism the and fuzzy OWA concept operator of,We review the concept of OWA operator and discuss the order mechanism of fuzzy number.,3881
+of an with score measure-based give alternatives. to overall we each combine Then dominance,Then we combine with measure-based dominance to give an overall score of each alternatives.,3882
+is the procedure. illustrated whole An show example to,An example is illustrated to show the whole procedure.,3883
+"rock on the of of study many micro-level earth In the problem arises. branches sciences,","In many branches of earth sciences, the problem of rock study on the micro-level arises.",3884
+"number samples significant feasible. is a not always representative However, of","However, a significant number of representative samples is not always feasible.",3885
+generation the of similar of problem properties with actual. becomes samples the Thus,Thus the problem of the generation of samples with similar properties becomes actual.,3886
+experiments good provides Minkowski of functionals. this reconstruction method terms in that show Numerical,Numerical experiments show that this method provides good reconstruction in terms of Minkowski functionals.,3887
+"presents learning itself an as important tool. transfer Hence,","Hence, transfer learning presents itself as an important tool.",3888
+space? analyze to the how But resulting data,But how to analyze the resulting data space?,3889
+deep learning a How of traditional in is use segmentation the setting? important methods,How important is the use of traditional segmentation methods in a deep learning setting?,3890
+"hand, needs stereo memory. On Block less much the matching other","On the other hand, Block matching stereo needs much less memory.",3891
+our We on tested stereo the benchmark. block multi matching new Middlebury scheme,We tested our new multi block matching scheme on the Middlebury stereo benchmark.,3892
+"person network, net, proposed an for development. dependent A AlterEgo is called","A person dependent network, called an AlterEgo net, is proposed for development.",3893
+dialogue a with a The of person's representation network the simulates object.,The network simulates a person's dialogue with a representation of the object.,3894
+a iterations 'internal stream a of the human. world' The representing generate 'forward',The 'forward' iterations generate a stream representing the 'internal world' of a human.,3895
+a representation internal object. representing stream generate iterations an of the The 'backward',The 'backward' iterations generate a stream representing an internal representation of the object.,3896
+a for these nets technology Thereby new augmentation is human various potentially applications.,Thereby these nets is potentially a new human augmentation technology for various applications.,3897
+non-overlapping to match re-identification views. across identities camera aims (Re-ID) Person,Person re-identification (Re-ID) aims to match identities across non-overlapping camera views.,3898
+proposed cross-view pairwise Re-ID models many supervised labelled data. have of quantities require which Researchers,Researchers have proposed many supervised Re-ID models which require quantities of cross-view pairwise labelled data.,3899
+"representation In jointly the learns and the unsupervised feature metric. asymmetric way, DECAMEL such a","In such a way, DECAMEL jointly learns the feature representation and the unsupervised asymmetric metric.",3900
+X-ray consider previous left-hand image works their in a works. All child the of,All the previous works consider left-hand X-ray image of a child in their works.,3901
+"services. data, of exchanged between large be need technological by quantities produced advances, Additionally, to","Additionally, large quantities of data, produced by technological advances, need to be exchanged between services.",3902
+Evolutionary fully-automated Researchers Computing factors. (EC) all the have proposed techniques above WSC meet that,Researchers have proposed Evolutionary Computing (EC) fully-automated WSC techniques that meet all the above factors.,3903
+"are those or works effective. However, efficient not","However, those works are not efficient or effective.",3904
+"comparing datasets methods. is using evaluation An out, state-of-the-art carried existing benchmark","An evaluation using benchmark datasets is carried out, comparing existing state-of-the-art methods.",3905
+the forecasting given provides Meteorological weather time. reliable a of future within prediction about interval,Meteorological forecasting provides reliable prediction about the future weather within a given interval of time.,3906
+"MeteoLOG several on rests logics. on probabilistic and traditions, temporal fuzzy, mainly","MeteoLOG rests on several traditions, mainly on fuzzy, temporal and probabilistic logics.",3907
+example a finally world that forecasting propose We models real an scenario.,We finally propose an example that models a real world forecasting scenario.,3908
+segmentation. topological of of numbers the The consists knowledge the Betti sequence prior of desired,The topological prior knowledge consists of the sequence of desired Betti numbers of the segmentation.,3909
+long standing Face in recognition field the of is a (AI). Artificial Intelligence challenge,Face recognition is a long standing challenge in the field of Artificial Intelligence (AI).,3910
+"detect, recognize, understand and goal accurately The create is human faces. verify, systems to that","The goal is to create systems that accurately detect, recognize, verify, and understand human faces.",3911
+about Every reflects us. something face unique,Every face reflects something unique about us.,3912
+every face recognition accurately work expect We equally for to face.,We expect face recognition to work equally accurately for every face.,3913
+schemes using well-established the from scientific generated coding ten The facial are annotations literature.,The annotations are generated using ten well-established facial coding schemes from the scientific literature.,3914
+measures schemes provide features. facial coding human-interpretable of facial quantitative The,The facial coding schemes provide human-interpretable quantitative measures of facial features.,3915
+publicly and pretrained are The code source models available.,The source code and pretrained models are publicly available.,3916
+aggressive metastasis liver liver one of malignancies. most is Colorectal,Colorectal liver metastasis is one of most aggressive liver malignancies.,3917
+dramatically performance. the enhance that can Experimental consistent viewpoints results the demonstrate,Experimental results demonstrate that the consistent viewpoints can dramatically enhance the performance.,3918
+the addressing and There applications are works MC methodologies. plenty of behaviors of,There are plenty of works addressing the behaviors and applications of MC methodologies.,3919
+from review the signal a This approaches for MC of perspective work comprehensive provides processing.,This work provides a comprehensive review for MC approaches from the perspective of signal processing.,3920
+"solving types Next, are reviewed. algorithms optimization of MC four representative the problem","Next, four representative types of optimization algorithms solving the MC problem are reviewed.",3921
+"application fields evaluated. described MC Ultimately, three and are of different","Ultimately, three different application fields of MC are described and evaluated.",3922
+discuss the phenomenon. behind intuition We this,We discuss the intuition behind this phenomenon.,3923
+a Parameters networks neural of memory. of amount require huge recent,Parameters of recent neural networks require a huge amount of memory.,3924
+when learning parameters to machine These networks tasks by inputs. neural used perform are processing,These parameters are used by neural networks to perform machine learning tasks when processing inputs.,3925
+a through We invasion model thin of continuum cell consider mechanical membranes.,We consider a continuum mechanical model of cell invasion through thin membranes.,3926
+applications. in mobile led embedded success has their real-time deployment for This and systems to,This success has led to their deployment in mobile and embedded systems for real-time applications.,3927
+"a principled co-design these we approach. challenges, develop To address","To address these challenges, we develop a principled co-design approach.",3928
+multiplexing a of Spatial different is common beam. streams in feeder performed data,Spatial multiplexing of different data streams is performed in a common feeder beam.,3929
+"of user possible. design particular Under separation multiple spatial effective constraints, is the signals","Under particular design constraints, effective spatial separation of the multiple user signals is possible.",3930
+gains in performance results of the Simulation throughput. terms illustrate sum,Simulation results illustrate the performance gains in terms of sum throughput.,3931
+"training require collect However, abundant data to change. these environmental from suffer approaches and","However, these approaches require to collect abundant training data and suffer from environmental change.",3932
+sensors. the The extraction of the on relies azimuth physical of properties PIR change,The extraction of the azimuth change relies on the physical properties of PIR sensors.,3933
+"change. is environmental and abundant system robust to no are Therefore, needed training the data","Therefore, no abundant training data are needed and the system is robust to environmental change.",3934
+require amount efficient This coding data to leads representations that huge schemes. image of with,This leads to image representations with huge amount of data that require efficient coding schemes.,3935
+"into In sub-aperture lenslet paper, images. images this rendered are","In this paper, lenslet images are rendered into sub-aperture images.",3936
+organized pseudo-sequence as images video These input HEVC the for a are codec.,These images are organized as a pseudo-sequence input for the HEVC video codec.,3937
+a spatial the pixel Most trade-off algorithms color between and compute level. superpixel features at,Most superpixel algorithms compute a trade-off between spatial and color features at the pixel level.,3938
+"new this method. we In Texture-Aware a issues SuperPixel these with address (TASP) paper,","In this paper, we address these issues with a new Texture-Aware SuperPixel (TASP) method.",3939
+The comparative framework. an performed within image study retrieval is,The comparative study is performed within an image retrieval framework.,3940
+evaluate in accuracy. attributes of We these terms retrieval,We evaluate these attributes in terms of retrieval accuracy.,3941
+"we shortcoming, object exploit To address propose to to image semantics pixelated colorization. guide this","To address this shortcoming, we propose to exploit pixelated object semantics to guide image colorization.",3942
+"proposed neural the Specifically, convolutional two network branches. includes","Specifically, the proposed convolutional neural network includes two branches.",3943
+"what colors. learns other while object branch learns One the the is, the object branch","One branch learns what the object is, while the other branch learns the object colors.",3944
+is scientific variety the and essential of for dynamics Monitoring network's maintenance purposes. a,Monitoring the network's dynamics is essential for a variety of maintenance and scientific purposes.,3945
+"signals complex network. we on study nonlinear Here, dynamic fixed a graph","Here, we study nonlinear dynamic graph signals on a fixed complex network.",3946
+matrix. linearized a dynamics We the networked interpret firstly into,We firstly interpret the networked dynamics into a linearized matrix.,3947
+image. of a the This deals given memorability with the paper of prediction,This paper deals with the prediction of the memorability of a given image.,3948
+"to four refers face anger, recognition The neutral. smile, and expressions: surprise,","The recognition refers to four face expressions: smile, surprise, anger, and neutral.",3949
+"high of as raw/CNN the F-score geometric/CNN For geometric/SVM advantage over observed, is well. and","For F-score the high advantage of raw/CNN over geometric/CNN and geometric/SVM is observed, as well.",3950
+"show differentiate that the subjects. can FNs, morphospace tasks metrics this defining cognitive and We","We show that the metrics defining this morphospace can differentiate FNs, cognitive tasks and subjects.",3951
+"optimizations implementation the and of This design, paper CoreNEURON. presents","This paper presents the design, implementation and optimizations of CoreNEURON.",3952
+(ILS) Switch We the present Invisible address both aspects. Light to,We present the Invisible Light Switch (ILS) to address both aspects.,3953
+energy So them. is saving the invisible to,So the energy saving is invisible to them.,3954
+"data JPEG this a images. lossless propose we hiding paper, scheme in In","In this paper, we propose a lossless data hiding scheme in JPEG images.",3955
+proposed larger the works. than capacity state-of-the-art method has that Experimental results show a,Experimental results show that the proposed method has a larger capacity than state-of-the-art works.,3956
+cellular physiology. hallmark is a of Phenotypic variation,Phenotypic variation is a hallmark of cellular physiology.,3957
+"Metabolic underpins such as heterogeneity, single-cell variability. phenomena in tolerance growth microbial drug particular, and","Metabolic heterogeneity, in particular, underpins single-cell phenomena such as microbial drug tolerance and growth variability.",3958
+populations metabolically two into The analysis more to subpopulations. or clonal predicts split distinct,The analysis predicts clonal populations to split into two or more metabolically distinct subpopulations.,3959
+within speed sparsity delay-Doppler the domain. The limits in measurement results show urban high,The measurement results within urban speed limits show high sparsity in the delay-Doppler domain.,3960
+deep presented. of classifiers for is technique novel image A learning,A novel technique for deep learning of image classifiers is presented.,3961
+retrieval. been have used neural widely networks in content-based image Convolutional,Convolutional neural networks have been widely used in content-based image retrieval.,3962
+on improves retrieval the performance. that Experiments fine-level two method show our datasets,Experiments on two datasets show that our method improves the fine-level retrieval performance.,3963
+"achieves Meanwhile, hierarchical retrieval. results model terms in our of state-of-the-art","Meanwhile, our model achieves state-of-the-art results in terms of hierarchical retrieval.",3964
+trained network. a and then are successively These bands separately through hierarchical combined split synthesis,These split bands are then trained separately and combined successively through a hierarchical synthesis network.,3965
+against observations. Process-oriented cognition time-ordered must evaluated be of theories,Process-oriented theories of cognition must be evaluated against time-ordered observations.,3966
+can estimated subjects. results parameters model reliably that be for Our individual indicate,Our results indicate that model parameters can be estimated reliably for individual subjects.,3967
+"systems video dramatically is the surveillance. increased commercial re-ID in Hence, security deploying when danger","Hence, the security danger is dramatically increased when deploying commercial re-ID systems in video surveillance.",3968
+reveal effects in the re-ID systems. clearly adversarial Comprehensive experiments,Comprehensive experiments clearly reveal the adversarial effects in re-ID systems.,3969
+learning deep Lack models difficult. expert training large MR of makes annotated datasets,Lack of large expert annotated MR datasets makes training deep learning models difficult.,3970
+"ratio. computed volume using was Dice (DSC), similarity coefficient metrics, Segmentation Hausdroff accuracy and distance","Segmentation accuracy was computed using Dice similarity coefficient (DSC), Hausdroff distance metrics, and volume ratio.",3971
+"assumptions, include to the optimal on Based traffic. interfering mild extended readily algorithm is eco-driving","Based on mild assumptions, the optimal eco-driving algorithm is readily extended to include interfering traffic.",3972
+"views between angle known. the relative to the In is both rotation assumed cases, be","In both cases, the relative rotation angle between the views is assumed to be known.",3973
+"derive then is efficiently the The Gr\""{o}bner to used technique solutions. basis","The Gr\""{o}bner basis technique is then used to efficiently derive the solutions.",3974
+the improves solution. Our solver existing for significantly regular cameras state-of-the-art first,Our first solver for regular cameras significantly improves the existing state-of-the-art solution.,3975
+novel. generalized solver cameras is for second The,The second solver for generalized cameras is novel.,3976
+"scanned diagrams the been have image stored P&ID as and files. generated, Over manually years,","Over the years, P&ID diagrams have been manually generated, scanned and stored as image files.",3977
+There diagrams. challenging P&ID problems several vision with digitizing real associated are world,There are several challenging vision problems associated with digitizing real world P&ID diagrams.,3978
+"in textual come world information. contain Real and several often resolutions, P&IDs noisy different","Real world P&IDs come in several different resolutions, and often contain noisy textual information.",3979
+appropriate pipeline. with followed is by association detected the This the components of,This is followed by association of the detected components with the appropriate pipeline.,3980
+is attention videos. purpose The better for understand visual to,The purpose is to better understand visual attention for videos.,3981
+intelligence coming learning and machine artificial systems. are with increasingly Humans into contact,Humans are increasingly coming into contact with artificial intelligence and machine learning systems.,3982
+"and social as accountability, of responsibility interpretability, further such We issues transparency. fairness, that argue","We further argue that issues of social responsibility such as fairness, accountability, interpretability, and transparency.",3983
+have disease recent in diagnosis substantially increased Celiac prevalence and years.,Celiac disease prevalence and diagnosis have increased substantially in recent years.,3984
+gold current standard of for celiac mucosal confirmation biopsies. visual The duodenal examination disease is,The current gold standard for celiac disease confirmation is visual examination of duodenal mucosal biopsies.,3985
+and potential great has of diagnosis. for celiac the This accuracy disease technology improving efficiency,This technology has great potential for improving the accuracy and efficiency of celiac disease diagnosis.,3986
+Local Lead Blurred Bad Minima . Images to,Blurred Images Lead to Bad Local Minima .,3987
+"in To estimation propose we frames\hl{. \hl{exploit} people to problem, detecting} address pose this \hl{for","To address this problem, we propose to \hl{exploit} pose estimation \hl{for detecting} people in frames\hl{.",3988
+to effective user guides the robot} This capture the follow videos. and,This guides the robot} to follow the user and capture effective videos.,3989
+from We other to identification senior distinguish people. person target a use,We use person identification to distinguish a target senior from other people.,3990
+are that small of potential. the EADs an plateau fluctuations action during voltage occur,EADs are small voltage fluctuations that occur during the plateau of an action potential.,3991
+"Although ventricular tachycardia. tissue-level lead to including can single-cell arrhythmias, behavior, a EADs","Although a single-cell behavior, EADs can lead to tissue-level arrhythmias, including ventricular tachycardia.",3992
+"can generate trained to be model In noisy from clean a such versions. documents scenarios,","In such scenarios, a model can be trained to generate clean documents from noisy versions.",3993
+use versions to GANs This noisy generate of the documents. the explores of paper denoised,This paper explores the use of GANs to generate denoised versions of the noisy documents.,3994
+"anatomy of First, dissections. and results present the we examine valve original","First, we examine valve anatomy and present the results of original dissections.",3995
+the display valve. anatomy fiber of and mitral structure the on These information gross,These display the gross anatomy and information on fiber structure of the mitral valve.,3996
+fiber this incorporate We the model. topology specify dissections the to from of information,We incorporate information from the dissections to specify the fiber topology of this model.,3997
+supporting load. achieves We assume valve static pressure a while equilibrium the mechanical,We assume the valve achieves mechanical equilibrium while supporting a static pressure load.,3998
+the model. The to pressurized the of solution the valve resulting configuration differential determines equations,The solution to the resulting differential equations determines the pressurized configuration of the valve model.,3999
+"safely objects move. that system images detection skip can of frames Using approach, this barely","Using this approach, system can safely skip detection of images frames that objects barely move.",4000