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Toward Convolutional Blind Denoising of Real Photographs | 793 | cvpr | 94 | 30 | 2023-06-03 02:18:21.194000 | https://github.com/GuoShi28/CBDNet | 464 | Toward convolutional blind denoising of real photographs | https://scholar.google.com/scholar?cluster=10808191985805196679&hl=en&as_sdt=0,19 | 13 | 2,019 |
Patch-Based Progressive 3D Point Set Upsampling | 212 | cvpr | 9 | 4 | 2023-06-03 02:18:21.393000 | https://github.com/yifita/3PU_pytorch | 72 | Patch-based progressive 3d point set upsampling | https://scholar.google.com/scholar?cluster=4861900077338199153&hl=en&as_sdt=0,5 | 3 | 2,019 |
Beyond Gradient Descent for Regularized Segmentation Losses | 28 | cvpr | 2 | 1 | 2023-06-03 02:18:21.594000 | https://github.com/dmitrii-marin/adm-seg | 11 | Beyond gradient descent for regularized segmentation losses | https://scholar.google.com/scholar?cluster=2336732449299048628&hl=en&as_sdt=0,47 | 2 | 2,019 |
Towards Real Scene Super-Resolution With Raw Images | 105 | cvpr | 5 | 2 | 2023-06-03 02:18:21.794000 | https://github.com/xuxy09/RawSR | 37 | Towards real scene super-resolution with raw images | https://scholar.google.com/scholar?cluster=16601900080142594548&hl=en&as_sdt=0,48 | 5 | 2,019 |
MAGSAC: Marginalizing Sample Consensus | 182 | cvpr | 51 | 14 | 2023-06-03 02:18:21.994000 | https://github.com/danini/magsac | 325 | MAGSAC: marginalizing sample consensus | https://scholar.google.com/scholar?cluster=17569749096229295310&hl=en&as_sdt=0,5 | 20 | 2,019 |
Understanding and Visualizing Deep Visual Saliency Models | 39 | cvpr | 1 | 0 | 2023-06-03 02:18:22.194000 | https://github.com/SenHe/uavdvsm | 14 | Understanding and visualizing deep visual saliency models | https://scholar.google.com/scholar?cluster=6009796744507889522&hl=en&as_sdt=0,5 | 1 | 2,019 |
Unsupervised Domain-Specific Deblurring via Disentangled Representations | 132 | cvpr | 29 | 12 | 2023-06-03 02:18:22.394000 | https://github.com/ustclby/Unsupervised-Domain-Specific-Deblurring | 102 | Unsupervised domain-specific deblurring via disentangled representations | https://scholar.google.com/scholar?cluster=17376435678265014007&hl=en&as_sdt=0,10 | 4 | 2,019 |
Searching for a Robust Neural Architecture in Four GPU Hours | 545 | cvpr | 279 | 13 | 2023-06-03 02:18:22.593000 | https://github.com/D-X-Y/NAS-Projects | 1,493 | Searching for a robust neural architecture in four gpu hours | https://scholar.google.com/scholar?cluster=4879261064205398932&hl=en&as_sdt=0,14 | 46 | 2,019 |
Adaptively Connected Neural Networks | 53 | cvpr | 29 | 3 | 2023-06-03 02:18:22.794000 | https://github.com/wanggrun/Adaptively-Connected-Neural-Networks | 143 | Adaptively connected neural networks | https://scholar.google.com/scholar?cluster=17110143364820542317&hl=en&as_sdt=0,10 | 6 | 2,019 |
Hierarchical Discrete Distribution Decomposition for Match Density Estimation | 210 | cvpr | 31 | 5 | 2023-06-03 02:18:22.994000 | https://github.com/ucbdrive/hd3 | 201 | Hierarchical discrete distribution decomposition for match density estimation | https://scholar.google.com/scholar?cluster=8538662755168714441&hl=en&as_sdt=0,5 | 15 | 2,019 |
FOCNet: A Fractional Optimal Control Network for Image Denoising | 105 | cvpr | 3 | 5 | 2023-06-03 02:18:23.194000 | https://github.com/hsijiaxidian/FOCNet | 24 | Focnet: A fractional optimal control network for image denoising | https://scholar.google.com/scholar?cluster=14736089093178266892&hl=en&as_sdt=0,5 | 4 | 2,019 |
TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning | 115 | cvpr | 9 | 4 | 2023-06-03 02:18:23.394000 | https://github.com/ucbdrive/tafe-net | 51 | Tafe-net: Task-aware feature embeddings for low shot learning | https://scholar.google.com/scholar?cluster=6103977558582312967&hl=en&as_sdt=0,22 | 11 | 2,019 |
Multi-Source Weak Supervision for Saliency Detection | 151 | cvpr | 11 | 4 | 2023-06-03 02:18:23.595000 | https://github.com/zengxianyu/mws | 53 | Multi-source weak supervision for saliency detection | https://scholar.google.com/scholar?cluster=4072873847492058736&hl=en&as_sdt=0,36 | 3 | 2,019 |
ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples | 199 | cvpr | 25 | 23 | 2023-06-03 02:18:23.795000 | https://github.com/jiaxiaojunQAQ/Comdefend | 102 | Comdefend: An efficient image compression model to defend adversarial examples | https://scholar.google.com/scholar?cluster=4385418290985322655&hl=en&as_sdt=0,5 | 1 | 2,019 |
End-To-End Multi-Task Learning With Attention | 686 | cvpr | 105 | 0 | 2023-06-03 02:18:23.995000 | https://github.com/lorenmt/mtan | 582 | End-to-end multi-task learning with attention | https://scholar.google.com/scholar?cluster=13455553033244468283&hl=en&as_sdt=0,22 | 10 | 2,019 |
Superquadrics Revisited: Learning 3D Shape Parsing Beyond Cuboids | 132 | cvpr | 27 | 6 | 2023-06-03 02:18:24.196000 | https://github.com/paschalidoud/superquadric_parsing | 103 | Superquadrics revisited: Learning 3d shape parsing beyond cuboids | https://scholar.google.com/scholar?cluster=16382881621569269566&hl=en&as_sdt=0,5 | 7 | 2,019 |
Self-Supervised Learning via Conditional Motion Propagation | 38 | cvpr | 19 | 3 | 2023-06-03 02:18:24.396000 | https://github.com/XiaohangZhan/conditional-motion-propagation | 129 | Self-supervised learning via conditional motion propagation | https://scholar.google.com/scholar?cluster=18041914909773758029&hl=en&as_sdt=0,44 | 9 | 2,019 |
Bridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence | 73 | cvpr | 21 | 7 | 2023-06-03 02:18:24.596000 | https://github.com/lelimite4444/BridgeDepthFlow | 116 | Bridging stereo matching and optical flow via spatiotemporal correspondence | https://scholar.google.com/scholar?cluster=16596578988150565557&hl=en&as_sdt=0,5 | 6 | 2,019 |
All About Structure: Adapting Structural Information Across Domains for Boosting Semantic Segmentation | 220 | cvpr | 24 | 4 | 2023-06-03 02:18:24.796000 | https://github.com/a514514772/DISE-Domain-Invariant-Structure-Extraction | 140 | All about structure: Adapting structural information across domains for boosting semantic segmentation | https://scholar.google.com/scholar?cluster=10808988174565164614&hl=en&as_sdt=0,38 | 4 | 2,019 |
Deep Surface Normal Estimation With Hierarchical RGB-D Fusion | 49 | cvpr | 12 | 2 | 2023-06-03 02:18:24.997000 | https://github.com/jzengust/RGBD2Normal | 64 | Deep surface normal estimation with hierarchical RGB-D fusion | https://scholar.google.com/scholar?cluster=3067890846890303637&hl=en&as_sdt=0,5 | 1 | 2,019 |
Revisiting Self-Supervised Visual Representation Learning | 689 | cvpr | 41 | 1 | 2023-06-03 02:18:25.199000 | https://github.com/google/revisiting-self-supervised | 349 | Revisiting self-supervised visual representation learning | https://scholar.google.com/scholar?cluster=10439362362794734109&hl=en&as_sdt=0,4 | 21 | 2,019 |
Knowledge-Embedded Routing Network for Scene Graph Generation | 301 | cvpr | 36 | 7 | 2023-06-03 02:18:25.399000 | https://github.com/yuweihao/KERN | 112 | Knowledge-embedded routing network for scene graph generation | https://scholar.google.com/scholar?cluster=2500759860994948425&hl=en&as_sdt=0,15 | 8 | 2,019 |
Video Relationship Reasoning Using Gated Spatio-Temporal Energy Graph | 91 | cvpr | 26 | 1 | 2023-06-03 02:18:25.599000 | https://github.com/yaohungt/GSTEG_CVPR_2019 | 150 | Video relationship reasoning using gated spatio-temporal energy graph | https://scholar.google.com/scholar?cluster=4319729862936279404&hl=en&as_sdt=0,5 | 5 | 2,019 |
Scale-Adaptive Neural Dense Features: Learning via Hierarchical Context Aggregation | 11 | cvpr | 2 | 0 | 2023-06-03 02:18:25.800000 | https://github.com/jspenmar/SAND_features | 31 | Scale-adaptive neural dense features: Learning via hierarchical context aggregation | https://scholar.google.com/scholar?cluster=5547049271392391186&hl=en&as_sdt=0,22 | 3 | 2,019 |
Unsupervised Embedding Learning via Invariant and Spreading Instance Feature | 429 | cvpr | 40 | 2 | 2023-06-03 02:18:25.999000 | https://github.com/mangye16/Unsupervised_Embedding_Learning | 190 | Unsupervised embedding learning via invariant and spreading instance feature | https://scholar.google.com/scholar?cluster=1072488172525419971&hl=en&as_sdt=0,37 | 7 | 2,019 |
AOGNets: Compositional Grammatical Architectures for Deep Learning | 20 | cvpr | 13 | 2 | 2023-06-03 02:18:26.200000 | https://github.com/iVMCL/AOGNets | 63 | Aognets: Compositional grammatical architectures for deep learning | https://scholar.google.com/scholar?cluster=15106712660226432053&hl=en&as_sdt=0,41 | 5 | 2,019 |
MUREL: Multimodal Relational Reasoning for Visual Question Answering | 277 | cvpr | 25 | 17 | 2023-06-03 02:18:26.400000 | https://github.com/Cadene/murel.bootstrap.pytorch | 187 | Murel: Multimodal relational reasoning for visual question answering | https://scholar.google.com/scholar?cluster=1186094337208548043&hl=en&as_sdt=0,36 | 11 | 2,019 |
Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering | 205 | cvpr | 14 | 5 | 2023-06-03 02:18:26.600000 | https://github.com/fanchenyou/HME-VideoQA | 53 | Heterogeneous memory enhanced multimodal attention model for video question answering | https://scholar.google.com/scholar?cluster=7770828835187830172&hl=en&as_sdt=0,38 | 6 | 2,019 |
Answer Them All! Toward Universal Visual Question Answering Models | 79 | cvpr | 6 | 1 | 2023-06-03 02:18:26.799000 | https://github.com/erobic/ramen | 16 | Answer them all! toward universal visual question answering models | https://scholar.google.com/scholar?cluster=6525039695803054929&hl=en&as_sdt=0,14 | 5 | 2,019 |
Dense Relational Captioning: Triple-Stream Networks for Relationship-Based Captioning | 78 | cvpr | 13 | 16 | 2023-06-03 02:18:26.999000 | https://github.com/Dong-JinKim/DenseRelationalCaptioning | 66 | Dense relational captioning: Triple-stream networks for relationship-based captioning | https://scholar.google.com/scholar?cluster=8776743934311277227&hl=en&as_sdt=0,39 | 3 | 2,019 |
Factor Graph Attention | 101 | cvpr | 4 | 0 | 2023-06-03 02:18:27.199000 | https://github.com/idansc/fga | 28 | Factor graph attention | https://scholar.google.com/scholar?cluster=2910740179552415672&hl=en&as_sdt=0,33 | 4 | 2,019 |
Deep Modular Co-Attention Networks for Visual Question Answering | 623 | cvpr | 86 | 2 | 2023-06-03 02:18:27.399000 | https://github.com/MILVLG/mcan-vqa | 392 | Deep modular co-attention networks for visual question answering | https://scholar.google.com/scholar?cluster=11029813876310873400&hl=en&as_sdt=0,31 | 6 | 2,019 |
Complete the Look: Scene-Based Complementary Product Recommendation | 67 | cvpr | 14 | 3 | 2023-06-03 02:18:27.599000 | https://github.com/kang205/STL-Dataset | 52 | Complete the look: Scene-based complementary product recommendation | https://scholar.google.com/scholar?cluster=590701942495364123&hl=en&as_sdt=0,14 | 8 | 2,019 |
Multi-Target Embodied Question Answering | 70 | cvpr | 64 | 17 | 2023-06-03 02:18:27.799000 | https://github.com/facebookresearch/EmbodiedQA | 271 | Multi-target embodied question answering | https://scholar.google.com/scholar?cluster=15952250835614561913&hl=en&as_sdt=0,10 | 21 | 2,019 |
StoryGAN: A Sequential Conditional GAN for Story Visualization | 136 | cvpr | 58 | 23 | 2023-06-03 02:18:27.999000 | https://github.com/yitong91/StoryGAN | 229 | Storygan: A sequential conditional gan for story visualization | https://scholar.google.com/scholar?cluster=9067526876528752401&hl=en&as_sdt=0,44 | 18 | 2,019 |
Noise-Aware Unsupervised Deep Lidar-Stereo Fusion | 56 | cvpr | 1 | 3 | 2023-06-03 02:18:28.200000 | https://github.com/XuelianCheng/LidarStereoNet | 45 | Noise-aware unsupervised deep lidar-stereo fusion | https://scholar.google.com/scholar?cluster=4886019654152519526&hl=en&as_sdt=0,5 | 7 | 2,019 |
Attention Based Glaucoma Detection: A Large-Scale Database and CNN Model | 156 | cvpr | 11 | 14 | 2023-06-03 02:18:28.400000 | https://github.com/smilell/AG-CNN | 62 | Attention based glaucoma detection: a large-scale database and CNN model | https://scholar.google.com/scholar?cluster=10478894233333708958&hl=en&as_sdt=0,5 | 4 | 2,019 |
SIXray: A Large-Scale Security Inspection X-Ray Benchmark for Prohibited Item Discovery in Overlapping Images | 154 | cvpr | 22 | 10 | 2023-06-03 02:18:28.600000 | https://github.com/MeioJane/SIXray | 102 | Sixray: A large-scale security inspection x-ray benchmark for prohibited item discovery in overlapping images | https://scholar.google.com/scholar?cluster=987808359488933242&hl=en&as_sdt=0,33 | 5 | 2,019 |
Modularized Textual Grounding for Counterfactual Resilience | 29 | cvpr | 0 | 1 | 2023-06-03 02:18:28.800000 | https://github.com/jacobswan1/MTG-pytorch | 11 | Modularized textual grounding for counterfactual resilience | https://scholar.google.com/scholar?cluster=10665938420960804361&hl=en&as_sdt=0,44 | 3 | 2,019 |
Connecting Touch and Vision via Cross-Modal Prediction | 80 | cvpr | 13 | 1 | 2023-06-03 02:18:29 | https://github.com/YunzhuLi/VisGel | 57 | Connecting touch and vision via cross-modal prediction | https://scholar.google.com/scholar?cluster=17326564895972374001&hl=en&as_sdt=0,5 | 3 | 2,019 |
Unsupervised Person Re-Identification by Soft Multilabel Learning | 385 | cvpr | 81 | 5 | 2023-06-03 02:18:29.200000 | https://github.com/KovenYu/MAR | 310 | Unsupervised person re-identification by soft multilabel learning | https://scholar.google.com/scholar?cluster=2081679959675411798&hl=en&as_sdt=0,39 | 10 | 2,019 |
X2CT-GAN: Reconstructing CT From Biplanar X-Rays With Generative Adversarial Networks | 118 | cvpr | 37 | 17 | 2023-06-03 02:18:29.401000 | https://github.com/kylekma/X2CT | 98 | X2CT-GAN: reconstructing CT from biplanar X-rays with generative adversarial networks | https://scholar.google.com/scholar?cluster=8622362370215216578&hl=en&as_sdt=0,5 | 7 | 2,019 |
Panoptic Feature Pyramid Networks | 928 | cvpr | 6,780 | 383 | 2023-06-03 02:18:29.601000 | https://github.com/facebookresearch/detectron2 | 25,048 | Panoptic feature pyramid networks | https://scholar.google.com/scholar?cluster=4764353839421452842&hl=en&as_sdt=0,33 | 368 | 2,019 |
Practical Full Resolution Learned Lossless Image Compression | 163 | cvpr | 57 | 12 | 2023-06-03 02:18:29.801000 | https://github.com/fab-jul/L3C-PyTorch | 366 | Practical full resolution learned lossless image compression | https://scholar.google.com/scholar?cluster=6227324072432517519&hl=en&as_sdt=0,33 | 9 | 2,019 |
Mask Scoring R-CNN | 840 | cvpr | 388 | 68 | 2023-06-03 02:18:30.001000 | https://github.com/zjhuang22/maskscoring_rcnn | 1,877 | Mask scoring r-cnn | https://scholar.google.com/scholar?cluster=4161750651251815162&hl=en&as_sdt=0,5 | 43 | 2,019 |
Image-To-Image Translation via Group-Wise Deep Whitening-And-Coloring Transformation | 114 | cvpr | 11 | 6 | 2023-06-03 02:18:30.202000 | https://github.com/WonwoongCho/GDWCT | 138 | Image-to-image translation via group-wise deep whitening-and-coloring transformation | https://scholar.google.com/scholar?cluster=5074418672366588381&hl=en&as_sdt=0,33 | 8 | 2,019 |
Zero-Shot Task Transfer | 35 | cvpr | 1 | 0 | 2023-06-03 02:18:30.403000 | https://github.com/ArghyaPal/Zero-shot-task-transfer | 7 | Zero-shot task transfer | https://scholar.google.com/scholar?cluster=9450511399353552575&hl=en&as_sdt=0,33 | 3 | 2,019 |
Meta-Learning With Differentiable Convex Optimization | 1,080 | cvpr | 94 | 11 | 2023-06-03 02:18:30.604000 | https://github.com/kjunelee/MetaOptNet | 496 | Meta-learning with differentiable convex optimization | https://scholar.google.com/scholar?cluster=17021041287722537056&hl=en&as_sdt=0,38 | 9 | 2,019 |
C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection | 205 | cvpr | 15 | 5 | 2023-06-03 02:18:30.804000 | https://github.com/Winfrand/C-MIL | 62 | C-mil: Continuation multiple instance learning for weakly supervised object detection | https://scholar.google.com/scholar?cluster=627329786836963865&hl=en&as_sdt=0,38 | 3 | 2,019 |
Tangent-Normal Adversarial Regularization for Semi-Supervised Learning | 30 | cvpr | 0 | 0 | 2023-06-03 02:18:31.004000 | https://github.com/uuujf/TNAR | 7 | Tangent-normal adversarial regularization for semi-supervised learning | https://scholar.google.com/scholar?cluster=9145773952325087137&hl=en&as_sdt=0,33 | 2 | 2,019 |
Auto-Encoding Scene Graphs for Image Captioning | 613 | cvpr | 50 | 36 | 2023-06-03 02:18:31.203000 | https://github.com/yangxuntu/SGAE | 205 | Auto-encoding scene graphs for image captioning | https://scholar.google.com/scholar?cluster=8920795868500143528&hl=en&as_sdt=0,33 | 4 | 2,019 |
Locating Objects Without Bounding Boxes | 87 | cvpr | 50 | 22 | 2023-06-03 02:18:31.403000 | https://github.com/javiribera/locating-objects-without-bboxes | 237 | Locating objects without bounding boxes | https://scholar.google.com/scholar?cluster=11365548428780437537&hl=en&as_sdt=0,10 | 11 | 2,019 |
Attention Branch Network: Learning of Attention Mechanism for Visual Explanation | 409 | cvpr | 57 | 5 | 2023-06-03 02:18:31.604000 | https://github.com/machine-perception-robotics-group/attention_branch_network | 251 | Attention branch network: Learning of attention mechanism for visual explanation | https://scholar.google.com/scholar?cluster=9517594115832739918&hl=en&as_sdt=0,11 | 16 | 2,019 |
FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery | 126 | cvpr | 42 | 6 | 2023-06-03 02:18:31.804000 | https://github.com/kkanshul/finegan | 274 | Finegan: Unsupervised hierarchical disentanglement for fine-grained object generation and discovery | https://scholar.google.com/scholar?cluster=3504805931057936629&hl=en&as_sdt=0,33 | 15 | 2,019 |
ELASTIC: Improving CNNs With Dynamic Scaling Policies | 61 | cvpr | 10 | 1 | 2023-06-03 02:18:32.004000 | https://github.com/allenai/elastic | 90 | Elastic: Improving cnns with dynamic scaling policies | https://scholar.google.com/scholar?cluster=3620870050981559433&hl=en&as_sdt=0,44 | 118 | 2,019 |
DeepCaps: Going Deeper With Capsule Networks | 216 | cvpr | 48 | 5 | 2023-06-03 02:18:32.204000 | https://github.com/brjathu/deepcaps | 143 | Deepcaps: Going deeper with capsule networks | https://scholar.google.com/scholar?cluster=16889828886556749914&hl=en&as_sdt=0,22 | 7 | 2,019 |
ScratchDet: Training Single-Shot Object Detectors From Scratch | 151 | cvpr | 38 | 14 | 2023-06-03 02:18:32.413000 | https://github.com/KimSoybean/ScratchDet | 229 | ScratchDet: Training single-shot object detectors from scratch | https://scholar.google.com/scholar?cluster=14320721725653826711&hl=en&as_sdt=0,36 | 26 | 2,019 |
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search | 1,187 | cvpr | 142 | 20 | 2023-06-03 02:18:32.613000 | https://github.com/facebookresearch/mobile-vision | 851 | Fbnet: Hardware-aware efficient convnet design via differentiable neural architecture search | https://scholar.google.com/scholar?cluster=524206379279542606&hl=en&as_sdt=0,33 | 46 | 2,019 |
Curls & Whey: Boosting Black-Box Adversarial Attacks | 115 | cvpr | 21 | 3 | 2023-06-03 02:18:32.813000 | https://github.com/walegahaha/Curls-Whey | 59 | Curls & whey: Boosting black-box adversarial attacks | https://scholar.google.com/scholar?cluster=6887259885026760388&hl=en&as_sdt=0,5 | 4 | 2,019 |
Aggregation Cross-Entropy for Sequence Recognition | 94 | cvpr | 64 | 19 | 2023-06-03 02:18:33.026000 | https://github.com/summerlvsong/Aggregation-Cross-Entropy | 295 | Aggregation cross-entropy for sequence recognition | https://scholar.google.com/scholar?cluster=15608585135826790706&hl=en&as_sdt=0,44 | 18 | 2,019 |
WarpGAN: Automatic Caricature Generation | 69 | cvpr | 61 | 4 | 2023-06-03 02:18:33.236000 | https://github.com/seasonSH/WarpGAN | 253 | Warpgan: Automatic caricature generation | https://scholar.google.com/scholar?cluster=3752178522291653390&hl=en&as_sdt=0,10 | 8 | 2,019 |
Few-Shot Learning With Localization in Realistic Settings | 119 | cvpr | 17 | 0 | 2023-06-03 02:18:33.437000 | https://github.com/daviswer/fewshotlocal | 46 | Few-shot learning with localization in realistic settings | https://scholar.google.com/scholar?cluster=4508829922363730236&hl=en&as_sdt=0,5 | 4 | 2,019 |
Semantic Image Synthesis With Spatially-Adaptive Normalization | 2,195 | cvpr | 991 | 99 | 2023-06-03 02:18:33.636000 | https://github.com/NVlabs/SPADE | 7,373 | Semantic image synthesis with spatially-adaptive normalization | https://scholar.google.com/scholar?cluster=12479535951654162053&hl=en&as_sdt=0,34 | 284 | 2,019 |
Progressive Pose Attention Transfer for Person Image Generation | 285 | cvpr | 164 | 40 | 2023-06-03 02:18:33.836000 | https://github.com/tengteng95/Pose-Transfer | 698 | Progressive pose attention transfer for person image generation | https://scholar.google.com/scholar?cluster=8533086213886595616&hl=en&as_sdt=0,33 | 24 | 2,019 |
Unsupervised Person Image Generation With Semantic Parsing Transformation | 117 | cvpr | 23 | 7 | 2023-06-03 02:18:34.037000 | https://github.com/SijieSong/person_generation_spt | 109 | Unsupervised person image generation with semantic parsing transformation | https://scholar.google.com/scholar?cluster=4604069298545419754&hl=en&as_sdt=0,33 | 11 | 2,019 |
Unified Visual-Semantic Embeddings: Bridging Vision and Language With Structured Meaning Representations | 124 | cvpr | 47 | 9 | 2023-06-03 02:18:34.255000 | https://github.com/vacancy/SceneGraphParser | 402 | Unified visual-semantic embeddings: Bridging vision and language with structured meaning representations | https://scholar.google.com/scholar?cluster=1466334913806805421&hl=en&as_sdt=0,3 | 6 | 2,019 |
Animating Arbitrary Objects via Deep Motion Transfer | 252 | cvpr | 81 | 21 | 2023-06-03 02:18:34.455000 | https://github.com/AliaksandrSiarohin/monkey-net | 426 | Animating arbitrary objects via deep motion transfer | https://scholar.google.com/scholar?cluster=17230951107215753208&hl=en&as_sdt=0,33 | 15 | 2,019 |
Towards Social Artificial Intelligence: Nonverbal Social Signal Prediction in a Triadic Interaction | 67 | cvpr | 8 | 1 | 2023-06-03 02:18:34.655000 | https://github.com/CMU-Perceptual-Computing-Lab/ssp | 28 | Towards social artificial intelligence: Nonverbal social signal prediction in a triadic interaction | https://scholar.google.com/scholar?cluster=12550284678910113227&hl=en&as_sdt=0,5 | 6 | 2,019 |
Reasoning Visual Dialogs With Structural and Partial Observations | 100 | cvpr | 7 | 1 | 2023-06-03 02:18:34.856000 | https://github.com/zilongzheng/visdial-gnn | 41 | Reasoning visual dialogs with structural and partial observations | https://scholar.google.com/scholar?cluster=6813756487317255348&hl=en&as_sdt=0,23 | 4 | 2,019 |
Recursive Visual Attention in Visual Dialog | 107 | cvpr | 12 | 4 | 2023-06-03 02:18:35.056000 | https://github.com/yuleiniu/rva | 64 | Recursive visual attention in visual dialog | https://scholar.google.com/scholar?cluster=498788163580831631&hl=en&as_sdt=0,5 | 2 | 2,019 |
GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question Answering | 767 | cvpr | 125 | 15 | 2023-06-03 02:18:35.257000 | https://github.com/stanfordnlp/mac-network | 483 | Gqa: A new dataset for real-world visual reasoning and compositional question answering | https://scholar.google.com/scholar?cluster=266091827435565866&hl=en&as_sdt=0,44 | 32 | 2,019 |
Self-Supervised Representation Learning From Videos for Facial Action Unit Detection | 85 | cvpr | 28 | 8 | 2023-06-03 02:18:35.457000 | https://github.com/mysee1989/TCAE | 149 | Self-supervised representation learning from videos for facial action unit detection | https://scholar.google.com/scholar?cluster=14803969931076095921&hl=en&as_sdt=0,33 | 6 | 2,019 |
Label-Noise Robust Generative Adversarial Networks | 62 | cvpr | 12 | 1 | 2023-06-03 02:18:35.656000 | https://github.com/takuhirok/rGAN | 94 | Label-noise robust generative adversarial networks | https://scholar.google.com/scholar?cluster=832067215173341045&hl=en&as_sdt=0,5 | 3 | 2,019 |
Text2Scene: Generating Compositional Scenes From Textual Descriptions | 71 | cvpr | 26 | 3 | 2023-06-03 02:18:35.856000 | https://github.com/uvavision/Text2Scene | 109 | Text2scene: Generating compositional scenes from textual descriptions | https://scholar.google.com/scholar?cluster=14695771730532263499&hl=en&as_sdt=0,39 | 9 | 2,019 |
DLOW: Domain Flow for Adaptation and Generalization | 285 | cvpr | 8 | 1 | 2023-06-03 02:18:36.058000 | https://github.com/ETHRuiGong/DLOW | 65 | Dlow: Domain flow for adaptation and generalization | https://scholar.google.com/scholar?cluster=7502453122978248132&hl=en&as_sdt=0,34 | 10 | 2,019 |
The Regretful Agent: Heuristic-Aided Navigation Through Progress Estimation | 157 | cvpr | 24 | 15 | 2023-06-03 02:18:36.258000 | https://github.com/chihyaoma/regretful-agent | 123 | The regretful agent: Heuristic-aided navigation through progress estimation | https://scholar.google.com/scholar?cluster=17362239336630276321&hl=en&as_sdt=0,5 | 3 | 2,019 |
Tactical Rewind: Self-Correction via Backtracking in Vision-And-Language Navigation | 138 | cvpr | 10 | 2 | 2023-06-03 02:18:36.458000 | https://github.com/Kelym/FAST | 58 | Tactical rewind: Self-correction via backtracking in vision-and-language navigation | https://scholar.google.com/scholar?cluster=12923057112531290596&hl=en&as_sdt=0,39 | 5 | 2,019 |
Taking a Closer Look at Domain Shift: Category-Level Adversaries for Semantics Consistent Domain Adaptation | 597 | cvpr | 48 | 1 | 2023-06-03 02:18:36.657000 | https://github.com/RoyalVane/CLAN | 281 | Taking a closer look at domain shift: Category-level adversaries for semantics consistent domain adaptation | https://scholar.google.com/scholar?cluster=12296797088344323285&hl=en&as_sdt=0,5 | 12 | 2,019 |
Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning | 171 | cvpr | 54 | 19 | 2023-06-03 02:18:36.857000 | https://github.com/allenai/savn | 176 | Learning to learn how to learn: Self-adaptive visual navigation using meta-learning | https://scholar.google.com/scholar?cluster=15373556339863734503&hl=en&as_sdt=0,39 | 13 | 2,019 |
Expressive Body Capture: 3D Hands, Face, and Body From a Single Image | 826 | cvpr | 304 | 60 | 2023-06-03 02:18:37.058000 | https://github.com/vchoutas/smplify-x | 1,376 | Expressive body capture: 3d hands, face, and body from a single image | https://scholar.google.com/scholar?cluster=18089618953278262954&hl=en&as_sdt=0,43 | 62 | 2,019 |
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation | 943 | cvpr | 76 | 14 | 2023-06-03 02:18:37.258000 | https://github.com/valeoai/ADVENT | 349 | Advent: Adversarial entropy minimization for domain adaptation in semantic segmentation | https://scholar.google.com/scholar?cluster=4799517383796609013&hl=en&as_sdt=0,10 | 11 | 2,019 |
ContextDesc: Local Descriptor Augmentation With Cross-Modality Context | 198 | cvpr | 35 | 11 | 2023-06-03 02:18:37.458000 | https://github.com/lzx551402/contextdesc | 221 | Contextdesc: Local descriptor augmentation with cross-modality context | https://scholar.google.com/scholar?cluster=2024070806793077537&hl=en&as_sdt=0,5 | 18 | 2,019 |
Acoustic Non-Line-Of-Sight Imaging | 94 | cvpr | 20 | 2 | 2023-06-03 02:18:37.658000 | https://github.com/computational-imaging/AcousticNLOS | 51 | Acoustic non-line-of-sight imaging | https://scholar.google.com/scholar?cluster=12363469736987930524&hl=en&as_sdt=0,23 | 9 | 2,019 |
DVC: An End-To-End Deep Video Compression Framework | 405 | cvpr | 71 | 0 | 2023-06-03 02:18:37.859000 | https://github.com/GuoLusjtu/DVC | 347 | Dvc: An end-to-end deep video compression framework | https://scholar.google.com/scholar?cluster=14025636173094719670&hl=en&as_sdt=0,5 | 13 | 2,019 |
AET vs. AED: Unsupervised Representation Learning by Auto-Encoding Transformations Rather Than Data | 201 | cvpr | 28 | 6 | 2023-06-03 02:18:38.058000 | https://github.com/maple-research-lab/AET | 105 | Aet vs. aed: Unsupervised representation learning by auto-encoding transformations rather than data | https://scholar.google.com/scholar?cluster=4610038868574024475&hl=en&as_sdt=0,34 | 9 | 2,019 |
End-To-End Projector Photometric Compensation | 24 | cvpr | 18 | 2 | 2023-06-03 02:18:38.258000 | https://github.com/BingyaoHuang/CompenNet | 36 | End-to-end projector photometric compensation | https://scholar.google.com/scholar?cluster=11667961356677288620&hl=en&as_sdt=0,22 | 6 | 2,019 |
Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach | 75 | cvpr | 4 | 1 | 2023-06-03 02:18:38.458000 | https://github.com/human-analysis/MaxEnt-ARL | 25 | Mitigating information leakage in image representations: A maximum entropy approach | https://scholar.google.com/scholar?cluster=9808367443005287731&hl=en&as_sdt=0,31 | 5 | 2,019 |
Bringing Alive Blurred Moments | 69 | cvpr | 3 | 2 | 2023-06-03 02:18:38.657000 | https://github.com/anshulbshah/Blurred-Image-to-Video | 15 | Bringing alive blurred moments | https://scholar.google.com/scholar?cluster=11054301810786965041&hl=en&as_sdt=0,23 | 6 | 2,019 |
Underexposed Photo Enhancement Using Deep Illumination Estimation | 574 | cvpr | 97 | 36 | 2023-06-03 02:18:38.858000 | https://github.com/wangruixing/DeepUPE | 523 | Underexposed photo enhancement using deep illumination estimation | https://scholar.google.com/scholar?cluster=13016623403221821571&hl=en&as_sdt=0,10 | 24 | 2,019 |
Blind Visual Motif Removal From a Single Image | 18 | cvpr | 11 | 6 | 2023-06-03 02:18:39.057000 | https://github.com/amirhertz/visual_motif_removal | 36 | Blind visual motif removal from a single image | https://scholar.google.com/scholar?cluster=8406837963286920455&hl=en&as_sdt=0,43 | 1 | 2,019 |
Path-Invariant Map Networks | 17 | cvpr | 8 | 0 | 2023-06-03 02:18:39.257000 | https://github.com/zaiweizhang/path_invariance_map_network | 81 | Path-invariant map networks | https://scholar.google.com/scholar?cluster=9505386108948456577&hl=en&as_sdt=0,5 | 3 | 2,019 |
Non-Local Meets Global: An Integrated Paradigm for Hyperspectral Denoising | 107 | cvpr | 14 | 0 | 2023-06-03 02:18:39.458000 | https://github.com/quanmingyao/NGMeet | 28 | Non-local meets global: An integrated paradigm for hyperspectral denoising | https://scholar.google.com/scholar?cluster=14516251846200014876&hl=en&as_sdt=0,5 | 3 | 2,019 |
Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation | 459 | cvpr | 68 | 23 | 2023-06-03 02:18:39.658000 | https://github.com/hughw19/NOCS_CVPR2019 | 367 | Normalized object coordinate space for category-level 6d object pose and size estimation | https://scholar.google.com/scholar?cluster=18202882499219400168&hl=en&as_sdt=0,32 | 15 | 2,019 |
MAP Inference via Block-Coordinate Frank-Wolfe Algorithm | 18 | cvpr | 23 | 9 | 2023-06-03 02:18:39.858000 | https://github.com/LPMP/LPMP | 63 | MAP inference via block-coordinate Frank-Wolfe algorithm | https://scholar.google.com/scholar?cluster=8115651436723804587&hl=en&as_sdt=0,5 | 6 | 2,019 |
Bidirectional Learning for Domain Adaptation of Semantic Segmentation | 540 | cvpr | 31 | 22 | 2023-06-03 02:18:40.058000 | https://github.com/liyunsheng13/BDL | 220 | Bidirectional learning for domain adaptation of semantic segmentation | https://scholar.google.com/scholar?cluster=8308872950577213620&hl=en&as_sdt=0,34 | 11 | 2,019 |
Pixel-Adaptive Convolutional Neural Networks | 235 | cvpr | 83 | 18 | 2023-06-03 02:18:40.258000 | https://github.com/NVlabs/pacnet | 491 | Pixel-adaptive convolutional neural networks | https://scholar.google.com/scholar?cluster=16269301846334705331&hl=en&as_sdt=0,5 | 25 | 2,019 |
Meta-Learning Convolutional Neural Architectures for Multi-Target Concrete Defect Classification With the COncrete DEfect BRidge IMage Dataset | 83 | cvpr | 15 | 0 | 2023-06-03 02:18:40.458000 | https://github.com/MrtnMndt/meta-learning-CODEBRIM | 52 | Meta-learning convolutional neural architectures for multi-target concrete defect classification with the concrete defect bridge image dataset | https://scholar.google.com/scholar?cluster=3021254096612461995&hl=en&as_sdt=0,31 | 5 | 2,019 |
Improving Transferability of Adversarial Examples With Input Diversity | 720 | cvpr | 38 | 1 | 2023-06-03 02:18:40.659000 | https://github.com/cihangxie/DI-2-FGSM | 156 | Improving transferability of adversarial examples with input diversity | https://scholar.google.com/scholar?cluster=13496165357897467185&hl=en&as_sdt=0,5 | 8 | 2,019 |
Disentangling Adversarial Robustness and Generalization | 218 | cvpr | 2 | 0 | 2023-06-03 02:18:40.864000 | https://github.com/davidstutz/cvpr2019-adversarial-robustness | 13 | Disentangling adversarial robustness and generalization | https://scholar.google.com/scholar?cluster=6632921217714390019&hl=en&as_sdt=0,36 | 4 | 2,019 |
Deeply-Supervised Knowledge Synergy | 51 | cvpr | 8 | 2 | 2023-06-03 02:18:41.063000 | https://github.com/sundw2014/DKS | 61 | Deeply-supervised knowledge synergy | https://scholar.google.com/scholar?cluster=191697563235867163&hl=en&as_sdt=0,5 | 4 | 2,019 |