title
stringlengths 8
155
| citations_google_scholar
int64 0
28.9k
| conference
stringclasses 5
values | forks
int64 0
46.3k
| issues
int64 0
12.2k
| lastModified
stringlengths 19
26
| repo_url
stringlengths 26
130
| stars
int64 0
75.9k
| title_google_scholar
stringlengths 8
155
| url_google_scholar
stringlengths 75
206
| watchers
int64 0
2.77k
| year
int64 2.02k
2.02k
|
|---|---|---|---|---|---|---|---|---|---|---|---|
Learning Pixel-Level Semantic Affinity With Image-Level Supervision for Weakly Supervised Semantic Segmentation | 594 | cvpr | 61 | 17 | 2023-06-03 02:03:04.119000 | https://github.com/jiwoon-ahn/psa | 346 | Learning pixel-level semantic affinity with image-level supervision for weakly supervised semantic segmentation | https://scholar.google.com/scholar?cluster=13437232166306950122&hl=en&as_sdt=0,10 | 10 | 2,018 |
Deflecting Adversarial Attacks With Pixel Deflection | 305 | cvpr | 21 | 3 | 2023-06-03 02:03:04.318000 | https://github.com/iamaaditya/pixel-deflection | 67 | Deflecting adversarial attacks with pixel deflection | https://scholar.google.com/scholar?cluster=12321589763437686771&hl=en&as_sdt=0,38 | 4 | 2,018 |
Cross-Domain Weakly-Supervised Object Detection Through Progressive Domain Adaptation | 432 | cvpr | 73 | 4 | 2023-06-03 02:03:04.518000 | https://github.com/naoto0804/cross-domain-detection | 396 | Cross-domain weakly-supervised object detection through progressive domain adaptation | https://scholar.google.com/scholar?cluster=6318150909176455782&hl=en&as_sdt=0,43 | 11 | 2,018 |
RotationNet: Joint Object Categorization and Pose Estimation Using Multiviews From Unsupervised Viewpoints | 458 | cvpr | 24 | 8 | 2023-06-03 02:03:04.718000 | https://github.com/kanezaki/rotationnet | 120 | Rotationnet: Joint object categorization and pose estimation using multiviews from unsupervised viewpoints | https://scholar.google.com/scholar?cluster=3856056923662439293&hl=en&as_sdt=0,5 | 8 | 2,018 |
SemStyle: Learning to Generate Stylised Image Captions Using Unaligned Text | 115 | cvpr | 12 | 7 | 2023-06-03 02:03:04.917000 | https://github.com/computationalmedia/semstyle | 63 | Semstyle: Learning to generate stylised image captions using unaligned text | https://scholar.google.com/scholar?cluster=4328398835989809262&hl=en&as_sdt=0,18 | 11 | 2,018 |
An End-to-End TextSpotter With Explicit Alignment and Attention | 213 | cvpr | 112 | 18 | 2023-06-03 02:03:05.117000 | https://github.com/tonghe90/textspotter | 324 | An end-to-end textspotter with explicit alignment and attention | https://scholar.google.com/scholar?cluster=18084699074907307988&hl=en&as_sdt=0,33 | 20 | 2,018 |
MoCoGAN: Decomposing Motion and Content for Video Generation | 951 | cvpr | 113 | 9 | 2023-06-03 02:03:05.317000 | https://github.com/sergeytulyakov/mocogan | 535 | Mocogan: Decomposing motion and content for video generation | https://scholar.google.com/scholar?cluster=5549182152929176563&hl=en&as_sdt=0,33 | 27 | 2,018 |
Learning Descriptor Networks for 3D Shape Synthesis and Analysis | 126 | cvpr | 8 | 3 | 2023-06-03 02:03:05.517000 | https://github.com/jianwen-xie/3DDescriptorNet | 33 | Learning descriptor networks for 3d shape synthesis and analysis | https://scholar.google.com/scholar?cluster=536863175475660528&hl=en&as_sdt=0,3 | 3 | 2,018 |
Adversarial Data Programming: Using GANs to Relax the Bottleneck of Curated Labeled Data | 13 | cvpr | 0 | 0 | 2023-06-03 02:03:05.717000 | https://github.com/ArghyaPal/Adversarial-Data-Programming | 1 | Adversarial data programming: Using gans to relax the bottleneck of curated labeled data | https://scholar.google.com/scholar?cluster=6926480641310170970&hl=en&as_sdt=0,19 | 1 | 2,018 |
V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation From a Single Depth Map | 403 | cvpr | 68 | 5 | 2023-06-03 02:03:05.917000 | https://github.com/mks0601/V2V-PoseNet_RELEASE | 349 | V2v-posenet: Voxel-to-voxel prediction network for accurate 3d hand and human pose estimation from a single depth map | https://scholar.google.com/scholar?cluster=11037099377007218251&hl=en&as_sdt=0,5 | 18 | 2,018 |
Iterative Learning With Open-Set Noisy Labels | 261 | cvpr | 0 | 1 | 2023-06-03 02:03:06.117000 | https://github.com/YisenWang/ONL | 9 | Iterative learning with open-set noisy labels | https://scholar.google.com/scholar?cluster=17508278419210766419&hl=en&as_sdt=0,44 | 2 | 2,018 |
SBNet: Sparse Blocks Network for Fast Inference | 190 | cvpr | 90 | 4 | 2023-06-03 02:03:06.320000 | https://github.com/uber/sbnet | 430 | Sbnet: Sparse blocks network for fast inference | https://scholar.google.com/scholar?cluster=4427306398598179551&hl=en&as_sdt=0,33 | 21 | 2,018 |
Language-Based Image Editing With Recurrent Attentive Models | 91 | cvpr | 2 | 3 | 2023-06-03 02:03:06.520000 | https://github.com/Jianbo-Lab/LBIE | 6 | Language-based image editing with recurrent attentive models | https://scholar.google.com/scholar?cluster=18051777584011321259&hl=en&as_sdt=0,36 | 2 | 2,018 |
Learning to Promote Saliency Detectors | 61 | cvpr | 8 | 1 | 2023-06-03 02:03:06.721000 | https://github.com/zengxianyu/lps | 35 | Learning to promote saliency detectors | https://scholar.google.com/scholar?cluster=377805752772553101&hl=en&as_sdt=0,31 | 5 | 2,018 |
Dense 3D Regression for Hand Pose Estimation | 166 | cvpr | 34 | 21 | 2023-06-03 02:03:06.921000 | https://github.com/melonwan/denseReg | 179 | Dense 3d regression for hand pose estimation | https://scholar.google.com/scholar?cluster=8182022194391219912&hl=en&as_sdt=0,31 | 16 | 2,018 |
Net2Vec: Quantifying and Explaining How Concepts Are Encoded by Filters in Deep Neural Networks | 200 | cvpr | 3 | 0 | 2023-06-03 02:03:07.120000 | https://github.com/ruthcfong/net2vec | 31 | Net2vec: Quantifying and explaining how concepts are encoded by filters in deep neural networks | https://scholar.google.com/scholar?cluster=5946143100705962819&hl=en&as_sdt=0,33 | 6 | 2,018 |
Camera Style Adaptation for Person Re-Identification | 614 | cvpr | 76 | 9 | 2023-06-03 02:03:07.320000 | https://github.com/zhunzhong07/CamStyle | 279 | Camera style adaptation for person re-identification | https://scholar.google.com/scholar?cluster=8214559104303782322&hl=en&as_sdt=0,47 | 8 | 2,018 |
A Neural Multi-Sequence Alignment TeCHnique (NeuMATCH) | 19 | cvpr | 4 | 0 | 2023-06-03 02:03:07.519000 | https://github.com/pelindogan/NeuMATCH | 16 | A neural multi-sequence alignment technique (neumatch) | https://scholar.google.com/scholar?cluster=15334581548691379629&hl=en&as_sdt=0,33 | 2 | 2,018 |
Path Aggregation Network for Instance Segmentation | 4,328 | cvpr | 278 | 52 | 2023-06-03 02:03:07.723000 | https://github.com/ShuLiu1993/PANet | 1,295 | Path aggregation network for instance segmentation | https://scholar.google.com/scholar?cluster=8407059638791168431&hl=en&as_sdt=0,14 | 28 | 2,018 |
Multimodal Explanations: Justifying Decisions and Pointing to the Evidence | 374 | cvpr | 10 | 5 | 2023-06-03 02:03:07.923000 | https://github.com/Seth-Park/MultimodalExplanations | 47 | Multimodal explanations: Justifying decisions and pointing to the evidence | https://scholar.google.com/scholar?cluster=6065410565479708036&hl=en&as_sdt=0,5 | 6 | 2,018 |
LSTM Pose Machines | 126 | cvpr | 41 | 8 | 2023-06-03 02:03:08.123000 | https://github.com/lawy623/LSTM_Pose_Machines | 273 | Lstm pose machines | https://scholar.google.com/scholar?cluster=5712699183271385332&hl=en&as_sdt=0,39 | 23 | 2,018 |
Salient Object Detection Driven by Fixation Prediction | 198 | cvpr | 6 | 2 | 2023-06-03 02:03:08.323000 | https://github.com/wenguanwang/ASNet | 42 | Salient object detection driven by fixation prediction | https://scholar.google.com/scholar?cluster=2801091682611332670&hl=en&as_sdt=0,1 | 5 | 2,018 |
High-Resolution Image Synthesis and Semantic Manipulation With Conditional GANs | 3,638 | cvpr | 1,346 | 227 | 2023-06-03 02:03:08.523000 | https://github.com/NVIDIA/pix2pixHD | 6,196 | High-resolution image synthesis and semantic manipulation with conditional gans | https://scholar.google.com/scholar?cluster=8637738140607437341&hl=en&as_sdt=0,10 | 172 | 2,018 |
Convolutional Sequence to Sequence Model for Human Dynamics | 241 | cvpr | 20 | 14 | 2023-06-03 02:03:08.723000 | https://github.com/chaneyddtt/Convolutional-Sequence-to-Sequence-Model-for-Human-Dynamics | 81 | Convolutional sequence to sequence model for human dynamics | https://scholar.google.com/scholar?cluster=145333264460540785&hl=en&as_sdt=0,33 | 5 | 2,018 |
Semi-Parametric Image Synthesis | 153 | cvpr | 40 | 4 | 2023-06-03 02:03:08.923000 | https://github.com/xjqicuhk/SIMS | 269 | Semi-parametric image synthesis | https://scholar.google.com/scholar?cluster=15898753167236393863&hl=en&as_sdt=0,43 | 25 | 2,018 |
BlockDrop: Dynamic Inference Paths in Residual Networks | 448 | cvpr | 38 | 2 | 2023-06-03 02:03:09.122000 | https://github.com/Tushar-N/blockdrop | 137 | Blockdrop: Dynamic inference paths in residual networks | https://scholar.google.com/scholar?cluster=13596312469142174239&hl=en&as_sdt=0,34 | 8 | 2,018 |
Interpretable Convolutional Neural Networks | 730 | cvpr | 52 | 5 | 2023-06-03 02:03:09.322000 | https://github.com/zqs1022/interpretableCNN | 215 | Interpretable convolutional neural networks | https://scholar.google.com/scholar?cluster=17034472567859664305&hl=en&as_sdt=0,5 | 9 | 2,018 |
A Variational U-Net for Conditional Appearance and Shape Generation | 416 | cvpr | 96 | 12 | 2023-06-03 02:03:09.522000 | https://github.com/CompVis/vunet | 483 | A variational u-net for conditional appearance and shape generation | https://scholar.google.com/scholar?cluster=11078035773738033687&hl=en&as_sdt=0,5 | 23 | 2,018 |
Defense Against Adversarial Attacks Using High-Level Representation Guided Denoiser | 745 | cvpr | 64 | 11 | 2023-06-03 02:03:09.721000 | https://github.com/lfz/Guided-Denoise | 213 | Defense against adversarial attacks using high-level representation guided denoiser | https://scholar.google.com/scholar?cluster=8705389398028374086&hl=en&as_sdt=0,32 | 5 | 2,018 |
Learning Deep Structured Active Contours End-to-End | 147 | cvpr | 24 | 10 | 2023-06-03 02:03:09.921000 | https://github.com/dmarcosg/DSAC | 80 | Learning deep structured active contours end-to-end | https://scholar.google.com/scholar?cluster=1193297421461090891&hl=en&as_sdt=0,5 | 3 | 2,018 |
Learning Latent Super-Events to Detect Multiple Activities in Videos | 90 | cvpr | 34 | 6 | 2023-06-03 02:03:10.121000 | https://github.com/piergiaj/super-events-cvpr18 | 122 | Learning latent super-events to detect multiple activities in videos | https://scholar.google.com/scholar?cluster=7952995141891673880&hl=en&as_sdt=0,11 | 8 | 2,018 |
Deep Learning Under Privileged Information Using Heteroscedastic Dropout | 82 | cvpr | 14 | 2 | 2023-06-03 02:03:10.321000 | https://github.com/johnwlambert/dlupi-heteroscedastic-dropout | 36 | Deep learning under privileged information using heteroscedastic dropout | https://scholar.google.com/scholar?cluster=12603369642103835644&hl=en&as_sdt=0,47 | 3 | 2,018 |
PieAPP: Perceptual Image-Error Assessment Through Pairwise Preference | 198 | cvpr | 21 | 9 | 2023-06-03 02:03:10.521000 | https://github.com/prashnani/PerceptualImageError | 174 | Pieapp: Perceptual image-error assessment through pairwise preference | https://scholar.google.com/scholar?cluster=8138503949958601505&hl=en&as_sdt=0,5 | 2 | 2,018 |
Smooth Neighbors on Teacher Graphs for Semi-Supervised Learning | 251 | cvpr | 5 | 2 | 2023-06-03 02:03:10.720000 | https://github.com/xinmei9322/SNTG | 41 | Smooth neighbors on teacher graphs for semi-supervised learning | https://scholar.google.com/scholar?cluster=2406002490632333318&hl=en&as_sdt=0,31 | 2 | 2,018 |
Fast End-to-End Trainable Guided Filter | 191 | cvpr | 148 | 0 | 2023-06-03 02:03:10.920000 | https://github.com/wuhuikai/DeepGuidedFilter | 788 | Fast end-to-end trainable guided filter | https://scholar.google.com/scholar?cluster=6557028345263040826&hl=en&as_sdt=0,50 | 32 | 2,018 |
When Will You Do What? - Anticipating Temporal Occurrences of Activities | 150 | cvpr | 20 | 1 | 2023-06-03 02:03:11.120000 | https://github.com/yabufarha/anticipating-activities | 69 | When will you do what?-anticipating temporal occurrences of activities | https://scholar.google.com/scholar?cluster=2962936283769065548&hl=en&as_sdt=0,4 | 5 | 2,018 |
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume | 1,984 | cvpr | 349 | 58 | 2023-06-03 02:03:11.320000 | https://github.com/NVlabs/PWC-Net | 1,500 | Pwc-net: Cnns for optical flow using pyramid, warping, and cost volume | https://scholar.google.com/scholar?cluster=5637139753418325919&hl=en&as_sdt=0,33 | 46 | 2,018 |
Crowd Counting With Deep Negative Correlation Learning | 268 | cvpr | 21 | 10 | 2023-06-03 02:03:11.520000 | https://github.com/shizenglin/Deep-NCL | 54 | Crowd counting with deep negative correlation learning | https://scholar.google.com/scholar?cluster=11202985326678769571&hl=en&as_sdt=0,33 | 8 | 2,018 |
Learning Spatial-Aware Regressions for Visual Tracking | 228 | cvpr | 6 | 3 | 2023-06-03 02:03:11.720000 | https://github.com/cswaynecool/LSART | 15 | Learning spatial-aware regressions for visual tracking | https://scholar.google.com/scholar?cluster=6829855268105267653&hl=en&as_sdt=0,6 | 1 | 2,018 |
LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation | 655 | cvpr | 103 | 0 | 2023-06-03 02:03:11.919000 | https://github.com/twhui/LiteFlowNet | 553 | Liteflownet: A lightweight convolutional neural network for optical flow estimation | https://scholar.google.com/scholar?cluster=2536526206253919253&hl=en&as_sdt=0,10 | 23 | 2,018 |
Pyramid Stereo Matching Network | 1,298 | cvpr | 408 | 160 | 2023-06-03 02:03:12.119000 | https://github.com/JiaRenChang/PSMNet | 1,274 | Pyramid stereo matching network | https://scholar.google.com/scholar?cluster=6542126250928371536&hl=en&as_sdt=0,1 | 33 | 2,018 |
Recurrent Pixel Embedding for Instance Grouping | 164 | cvpr | 21 | 5 | 2023-06-03 02:03:12.319000 | https://github.com/aimerykong/Recurrent-Pixel-Embedding-for-Instance-Grouping | 142 | Recurrent pixel embedding for instance grouping | https://scholar.google.com/scholar?cluster=2298316817080377557&hl=en&as_sdt=0,10 | 10 | 2,018 |
CleanNet: Transfer Learning for Scalable Image Classifier Training With Label Noise | 397 | cvpr | 28 | 3 | 2023-06-03 02:03:12.519000 | https://github.com/kuanghuei/clean-net | 85 | Cleannet: Transfer learning for scalable image classifier training with label noise | https://scholar.google.com/scholar?cluster=16677004174186912203&hl=en&as_sdt=0,37 | 6 | 2,018 |
Independently Recurrent Neural Network (IndRNN): Building a Longer and Deeper RNN | 748 | cvpr | 26 | 1 | 2023-06-03 02:03:12.720000 | https://github.com/Sunnydreamrain/IndRNN_Theano_Lasagne | 65 | Independently recurrent neural network (indrnn): Building a longer and deeper rnn | https://scholar.google.com/scholar?cluster=5784188603612259222&hl=en&as_sdt=0,15 | 8 | 2,018 |
Mix and Match Networks: Encoder-Decoder Alignment for Zero-Pair Image Translation | 33 | cvpr | 5 | 2 | 2023-06-03 02:03:12.920000 | https://github.com/yaxingwang/Mix-and-match-networks | 21 | Mix and match networks: encoder-decoder alignment for zero-pair image translation | https://scholar.google.com/scholar?cluster=8929857447752153415&hl=en&as_sdt=0,31 | 4 | 2,018 |
ICE-BA: Incremental, Consistent and Efficient Bundle Adjustment for Visual-Inertial SLAM | 129 | cvpr | 230 | 27 | 2023-06-03 02:03:13.124000 | https://github.com/baidu/ICE-BA | 665 | Ice-ba: Incremental, consistent and efficient bundle adjustment for visual-inertial slam | https://scholar.google.com/scholar?cluster=8671494492906580575&hl=en&as_sdt=0,33 | 69 | 2,018 |
GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose | 1,051 | cvpr | 182 | 6 | 2023-06-03 02:03:13.324000 | https://github.com/yzcjtr/GeoNet | 705 | Geonet: Unsupervised learning of dense depth, optical flow and camera pose | https://scholar.google.com/scholar?cluster=1957429302279516892&hl=en&as_sdt=0,44 | 35 | 2,018 |
Between-Class Learning for Image Classification | 207 | cvpr | 20 | 2 | 2023-06-03 02:03:13.524000 | https://github.com/mil-tokyo/bc_learning_image | 61 | Between-class learning for image classification | https://scholar.google.com/scholar?cluster=3081558640601116808&hl=en&as_sdt=0,33 | 17 | 2,018 |
Gibson Env: Real-World Perception for Embodied Agents | 588 | cvpr | 142 | 45 | 2023-06-03 02:03:13.724000 | https://github.com/StanfordVL/GibsonEnv | 773 | Gibson env: Real-world perception for embodied agents | https://scholar.google.com/scholar?cluster=4664950294258475912&hl=en&as_sdt=0,34 | 31 | 2,018 |
Radially-Distorted Conjugate Translations | 37 | cvpr | 7 | 3 | 2023-06-03 02:03:13.925000 | https://github.com/prittjam/repeats | 13 | Radially-distorted conjugate translations | https://scholar.google.com/scholar?cluster=3359150264756483345&hl=en&as_sdt=0,33 | 3 | 2,018 |
Deep Ordinal Regression Network for Monocular Depth Estimation | 1,435 | cvpr | 105 | 27 | 2023-06-03 02:03:14.125000 | https://github.com/hufu6371/DORN | 459 | Deep ordinal regression network for monocular depth estimation | https://scholar.google.com/scholar?cluster=14501834367390829598&hl=en&as_sdt=0,28 | 19 | 2,018 |
Generative Image Inpainting With Contextual Attention | 2,102 | cvpr | 761 | 60 | 2023-06-03 02:03:14.325000 | https://github.com/JiahuiYu/generative_inpainting | 3,018 | Generative image inpainting with contextual attention | https://scholar.google.com/scholar?cluster=11541279513087894235&hl=en&as_sdt=0,23 | 76 | 2,018 |
Detail-Preserving Pooling in Deep Networks | 115 | cvpr | 23 | 10 | 2023-06-03 02:03:14.525000 | https://github.com/visinf/dpp | 113 | Detail-preserving pooling in deep networks | https://scholar.google.com/scholar?cluster=5703076471782110981&hl=en&as_sdt=0,31 | 9 | 2,018 |
LayoutNet: Reconstructing the 3D Room Layout From a Single RGB Image | 228 | cvpr | 33 | 10 | 2023-06-03 02:03:14.726000 | https://github.com/zouchuhang/LayoutNetv2 | 188 | Layoutnet: Reconstructing the 3d room layout from a single rgb image | https://scholar.google.com/scholar?cluster=2583895775464722589&hl=en&as_sdt=0,33 | 13 | 2,018 |
CBMV: A Coalesced Bidirectional Matching Volume for Disparity Estimation | 60 | cvpr | 13 | 9 | 2023-06-03 02:03:14.925000 | https://github.com/kbatsos/CBMV | 53 | CBMV: A coalesced bidirectional matching volume for disparity estimation | https://scholar.google.com/scholar?cluster=14846125074255444911&hl=en&as_sdt=0,33 | 9 | 2,018 |
Convolutional Image Captioning | 368 | cvpr | 38 | 15 | 2023-06-03 02:03:15.125000 | https://github.com/aditya12agd5/convcap | 128 | Convolutional image captioning | https://scholar.google.com/scholar?cluster=9745346638332045201&hl=en&as_sdt=0,33 | 6 | 2,018 |
Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains | 48 | cvpr | 2 | 2 | 2023-06-03 02:03:15.325000 | https://github.com/Artifineuro/zole | 23 | Zoom and learn: Generalizing deep stereo matching to novel domains | https://scholar.google.com/scholar?cluster=10212198475260872815&hl=en&as_sdt=0,44 | 1 | 2,018 |
Learning Intelligent Dialogs for Bounding Box Annotation | 42 | cvpr | 9 | 1 | 2023-06-03 02:03:15.525000 | https://github.com/google/intelligent_annotation_dialogs | 28 | Learning intelligent dialogs for bounding box annotation | https://scholar.google.com/scholar?cluster=14057255053273314230&hl=en&as_sdt=0,33 | 9 | 2,018 |
PointGrid: A Deep Network for 3D Shape Understanding | 317 | cvpr | 20 | 10 | 2023-06-03 02:03:15.725000 | https://github.com/trucleduc/PointGrid | 59 | Pointgrid: A deep network for 3d shape understanding | https://scholar.google.com/scholar?cluster=5793294535318142928&hl=en&as_sdt=0,33 | 6 | 2,018 |
Look at Boundary: A Boundary-Aware Face Alignment Algorithm | 416 | cvpr | 274 | 34 | 2023-06-03 02:03:15.925000 | https://github.com/wywu/LAB | 997 | Look at boundary: A boundary-aware face alignment algorithm | https://scholar.google.com/scholar?cluster=16870653029527986322&hl=en&as_sdt=0,5 | 70 | 2,018 |
In-Place Activated BatchNorm for Memory-Optimized Training of DNNs | 319 | cvpr | 181 | 54 | 2023-06-03 02:03:16.126000 | https://github.com/mapillary/inplace_abn | 1,276 | In-place activated batchnorm for memory-optimized training of dnns | https://scholar.google.com/scholar?cluster=5642068797752856080&hl=en&as_sdt=0,19 | 39 | 2,018 |
3D Semantic Segmentation With Submanifold Sparse Convolutional Networks | 1,100 | cvpr | 315 | 52 | 2023-06-03 02:03:16.326000 | https://github.com/facebookresearch/SparseConvNet | 1,848 | 3d semantic segmentation with submanifold sparse convolutional networks | https://scholar.google.com/scholar?cluster=7438723884655241525&hl=en&as_sdt=0,6 | 45 | 2,018 |
DVQA: Understanding Data Visualizations via Question Answering | 152 | cvpr | 1 | 1 | 2023-06-03 02:03:16.526000 | https://github.com/kushalkafle/DVQA_dataset | 26 | Dvqa: Understanding data visualizations via question answering | https://scholar.google.com/scholar?cluster=14643397421272652205&hl=en&as_sdt=0,33 | 4 | 2,018 |
TOM-Net: Learning Transparent Object Matting From a Single Image | 63 | cvpr | 13 | 0 | 2023-06-03 02:03:16.726000 | https://github.com/guanyingc/TOM-Net | 86 | Tom-net: Learning transparent object matting from a single image | https://scholar.google.com/scholar?cluster=15606383417990887187&hl=en&as_sdt=0,40 | 9 | 2,018 |
An Unsupervised Learning Model for Deformable Medical Image Registration | 596 | cvpr | 14 | 0 | 2023-06-03 02:03:16.927000 | https://github.com/balakg/voxelmorph | 50 | An unsupervised learning model for deformable medical image registration | https://scholar.google.com/scholar?cluster=12326446542960778734&hl=en&as_sdt=0,39 | 15 | 2,018 |
Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation | 150 | cvpr | 59 | 17 | 2023-06-03 02:03:17.127000 | https://github.com/adalca/neuron | 286 | Anatomical priors in convolutional networks for unsupervised biomedical segmentation | https://scholar.google.com/scholar?cluster=16777184933272965833&hl=en&as_sdt=0,34 | 21 | 2,018 |
Social GAN: Socially Acceptable Trajectories With Generative Adversarial Networks | 1,519 | cvpr | 250 | 59 | 2023-06-03 02:03:17.327000 | https://github.com/agrimgupta92/sgan | 734 | Social gan: Socially acceptable trajectories with generative adversarial networks | https://scholar.google.com/scholar?cluster=129172247046928959&hl=en&as_sdt=0,25 | 18 | 2,018 |
Deep Group-Shuffling Random Walk for Person Re-Identification | 160 | cvpr | 29 | 1 | 2023-06-03 02:03:17.527000 | https://github.com/YantaoShen/kpm_rw_person_reid | 103 | Deep group-shuffling random walk for person re-identification | https://scholar.google.com/scholar?cluster=9330144390873119070&hl=en&as_sdt=0,37 | 6 | 2,018 |
Real-Time Rotation-Invariant Face Detection With Progressive Calibration Networks | 113 | cvpr | 301 | 27 | 2023-06-03 02:03:17.728000 | https://github.com/Rock-100/FaceKit | 1,071 | Real-time rotation-invariant face detection with progressive calibration networks | https://scholar.google.com/scholar?cluster=13534144308727796881&hl=en&as_sdt=0,32 | 71 | 2,018 |
Learning to Evaluate Image Captioning | 123 | cvpr | 11 | 4 | 2023-06-03 02:03:17.929000 | https://github.com/richardaecn/cvpr18-caption-eval | 81 | Learning to evaluate image captioning | https://scholar.google.com/scholar?cluster=6231020248740057140&hl=en&as_sdt=0,31 | 9 | 2,018 |
SO-Net: Self-Organizing Network for Point Cloud Analysis | 866 | cvpr | 81 | 9 | 2023-06-03 02:03:18.130000 | https://github.com/lijx10/SO-Net | 333 | So-net: Self-organizing network for point cloud analysis | https://scholar.google.com/scholar?cluster=16985384514000508037&hl=en&as_sdt=0,47 | 14 | 2,018 |
Neural Motifs: Scene Graph Parsing With Global Context | 787 | cvpr | 116 | 40 | 2023-06-03 02:03:18.331000 | https://github.com/rowanz/neural-motifs | 494 | Neural motifs: Scene graph parsing with global context | https://scholar.google.com/scholar?cluster=503182414007319468&hl=en&as_sdt=0,43 | 18 | 2,018 |
SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesis | 267 | cvpr | 32 | 10 | 2023-06-03 02:03:18.530000 | https://github.com/wchen342/SketchyGAN | 124 | Sketchygan: Towards diverse and realistic sketch to image synthesis | https://scholar.google.com/scholar?cluster=3882701906354721873&hl=en&as_sdt=0,47 | 6 | 2,018 |
ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing | 289 | cvpr | 73 | 4 | 2023-06-03 02:03:18.731000 | https://github.com/chenhsuanlin/spatial-transformer-GAN | 330 | St-gan: Spatial transformer generative adversarial networks for image compositing | https://scholar.google.com/scholar?cluster=13423942867154123344&hl=en&as_sdt=0,33 | 13 | 2,018 |
A Weighted Sparse Sampling and Smoothing Frame Transition Approach for Semantic Fast-Forward First-Person Videos | 28 | cvpr | 7 | 2 | 2023-06-03 02:03:18.931000 | https://github.com/verlab/SemanticFastForward_CVPR_2018 | 8 | A weighted sparse sampling and smoothing frame transition approach for semantic fast-forward first-person videos | https://scholar.google.com/scholar?cluster=13523099890582023655&hl=en&as_sdt=0,32 | 9 | 2,018 |
Deep Layer Aggregation | 1,181 | cvpr | 87 | 12 | 2023-06-03 02:03:19.131000 | https://github.com/ucbdrive/dla | 414 | Deep layer aggregation | https://scholar.google.com/scholar?cluster=12605188017174616564&hl=en&as_sdt=0,33 | 13 | 2,018 |
Human-Centric Indoor Scene Synthesis Using Stochastic Grammar | 139 | cvpr | 15 | 1 | 2023-06-03 02:03:19.331000 | https://github.com/SiyuanQi/human-centric-scene-synthesis | 80 | Human-centric indoor scene synthesis using stochastic grammar | https://scholar.google.com/scholar?cluster=14155708423777654581&hl=en&as_sdt=0,5 | 5 | 2,018 |
Convolutional Neural Networks With Alternately Updated Clique | 140 | cvpr | 77 | 9 | 2023-06-03 02:03:19.531000 | https://github.com/iboing/CliqueNet | 329 | Convolutional neural networks with alternately updated clique | https://scholar.google.com/scholar?cluster=6622253267851873985&hl=en&as_sdt=0,10 | 19 | 2,018 |
Residual Dense Network for Image Super-Resolution | 3,009 | cvpr | 107 | 17 | 2023-06-03 02:03:19.732000 | https://github.com/yulunzhang/RDN | 505 | Residual dense network for image super-resolution | https://scholar.google.com/scholar?cluster=10362327168909609533&hl=en&as_sdt=0,33 | 16 | 2,018 |
FSRNet: End-to-End Learning Face Super-Resolution With Facial Priors | 432 | cvpr | 54 | 11 | 2023-06-03 02:03:19.932000 | https://github.com/tyshiwo/FSRNet | 254 | Fsrnet: End-to-end learning face super-resolution with facial priors | https://scholar.google.com/scholar?cluster=11045837059104237071&hl=en&as_sdt=0,21 | 20 | 2,018 |
Surface Networks | 84 | cvpr | 20 | 6 | 2023-06-03 02:03:20.132000 | https://github.com/jiangzhongshi/SurfaceNetworks | 87 | Surface networks | https://scholar.google.com/scholar?cluster=4701841533359128721&hl=en&as_sdt=0,5 | 8 | 2,018 |
SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation | 488 | cvpr | 61 | 30 | 2023-06-03 02:03:20.332000 | https://github.com/laughtervv/SGPN | 253 | Sgpn: Similarity group proposal network for 3d point cloud instance segmentation | https://scholar.google.com/scholar?cluster=10828175727380616387&hl=en&as_sdt=0,5 | 9 | 2,018 |
PlaneNet: Piece-Wise Planar Reconstruction From a Single RGB Image | 187 | cvpr | 82 | 20 | 2023-06-03 02:03:20.532000 | https://github.com/art-programmer/PlaneNet | 381 | Planenet: Piece-wise planar reconstruction from a single rgb image | https://scholar.google.com/scholar?cluster=15607486127971815360&hl=en&as_sdt=0,33 | 18 | 2,018 |
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering | 4,124 | cvpr | 385 | 65 | 2023-06-03 02:03:20.732000 | https://github.com/peteanderson80/bottom-up-attention | 1,337 | Bottom-up and top-down attention for image captioning and visual question answering | https://scholar.google.com/scholar?cluster=7383633913245131178&hl=en&as_sdt=0,18 | 25 | 2,018 |
FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis | 315 | cvpr | 15 | 2 | 2023-06-03 02:03:20.932000 | https://github.com/nitika-verma/FeaStNet | 58 | Feastnet: Feature-steered graph convolutions for 3d shape analysis | https://scholar.google.com/scholar?cluster=18220966840925909139&hl=en&as_sdt=0,33 | 9 | 2,018 |
Geometry-Aware Learning of Maps for Camera Localization | 327 | cvpr | 78 | 9 | 2023-06-03 02:03:21.131000 | https://github.com/NVlabs/geomapnet | 330 | Geometry-aware learning of maps for camera localization | https://scholar.google.com/scholar?cluster=15361942550307476955&hl=en&as_sdt=0,33 | 27 | 2,018 |
Recurrent Slice Networks for 3D Segmentation of Point Clouds | 423 | cvpr | 40 | 13 | 2023-06-03 02:03:21.331000 | https://github.com/qianguih/RSNet | 112 | Recurrent slice networks for 3d segmentation of point clouds | https://scholar.google.com/scholar?cluster=15745594784158675393&hl=en&as_sdt=0,33 | 9 | 2,018 |
Focal Visual-Text Attention for Visual Question Answering | 103 | cvpr | 15 | 0 | 2023-06-03 02:03:21.531000 | https://github.com/JunweiLiang/FVTA_MemexQA | 33 | Focal visual-text attention for visual question answering | https://scholar.google.com/scholar?cluster=8603088268635789565&hl=en&as_sdt=0,14 | 4 | 2,018 |
SeGAN: Segmenting and Generating the Invisible | 130 | cvpr | 12 | 0 | 2023-06-03 02:03:21.731000 | https://github.com/ehsanik/SeGAN | 61 | Segan: Segmenting and generating the invisible | https://scholar.google.com/scholar?cluster=145087875116009054&hl=en&as_sdt=0,39 | 5 | 2,018 |
Cascade R-CNN: Delving Into High Quality Object Detection | 3,901 | cvpr | 300 | 49 | 2023-06-03 02:03:21.931000 | https://github.com/zhaoweicai/cascade-rcnn | 1,014 | Cascade r-cnn: Delving into high quality object detection | https://scholar.google.com/scholar?cluster=90386599069203250&hl=en&as_sdt=0,33 | 41 | 2,018 |
Photographic Text-to-Image Synthesis With a Hierarchically-Nested Adversarial Network | 319 | cvpr | 36 | 1 | 2023-06-03 02:03:22.132000 | https://github.com/ypxie/HDGan | 149 | Photographic text-to-image synthesis with a hierarchically-nested adversarial network | https://scholar.google.com/scholar?cluster=15980568541820197143&hl=en&as_sdt=0,5 | 11 | 2,018 |
CondenseNet: An Efficient DenseNet Using Learned Group Convolutions | 792 | cvpr | 136 | 11 | 2023-06-03 02:03:22.332000 | https://github.com/ShichenLiu/CondenseNet | 692 | Condensenet: An efficient densenet using learned group convolutions | https://scholar.google.com/scholar?cluster=962038121370501229&hl=en&as_sdt=0,33 | 23 | 2,018 |
Inferring Light Fields From Shadows | 65 | cvpr | 2 | 0 | 2023-06-03 02:03:22.531000 | https://github.com/mbaradad/shadow2lightfield | 3 | Inferring light fields from shadows | https://scholar.google.com/scholar?cluster=537944593784033046&hl=en&as_sdt=0,33 | 1 | 2,018 |
PU-Net: Point Cloud Upsampling Network | 452 | cvpr | 81 | 20 | 2023-06-03 02:03:22.731000 | https://github.com/yulequan/PU-Net | 314 | Pu-net: Point cloud upsampling network | https://scholar.google.com/scholar?cluster=13363120035792906943&hl=en&as_sdt=0,21 | 6 | 2,018 |
Real-Time Monocular Depth Estimation Using Synthetic Data With Domain Adaptation via Image Style Transfer | 255 | cvpr | 36 | 0 | 2023-06-03 02:03:22.932000 | https://github.com/atapour/monocularDepth-Inference | 141 | Real-time monocular depth estimation using synthetic data with domain adaptation via image style transfer | https://scholar.google.com/scholar?cluster=13567427763844087834&hl=en&as_sdt=0,18 | 11 | 2,018 |
DeepMVS: Learning Multi-View Stereopsis | 391 | cvpr | 85 | 9 | 2023-06-03 02:03:23.133000 | https://github.com/phuang17/DeepMVS | 322 | Deepmvs: Learning multi-view stereopsis | https://scholar.google.com/scholar?cluster=3902531294143230272&hl=en&as_sdt=0,33 | 23 | 2,018 |
Efficient, Sparse Representation of Manifold Distance Matrices for Classical Scaling | 2 | cvpr | 4 | 0 | 2023-06-03 02:03:23.333000 | https://github.com/alexhuth/BHA | 7 | Efficient, sparse representation of manifold distance matrices for classical scaling | https://scholar.google.com/scholar?cluster=4797402609750056863&hl=en&as_sdt=0,33 | 4 | 2,018 |
Motion Segmentation by Exploiting Complementary Geometric Models | 35 | cvpr | 1 | 0 | 2023-06-03 02:03:23.533000 | https://github.com/alex-xun-xu/MultiViewMoSeg | 10 | Motion segmentation by exploiting complementary geometric models | https://scholar.google.com/scholar?cluster=11763896756712542552&hl=en&as_sdt=0,44 | 1 | 2,018 |
AMNet: Memorability Estimation With Attention | 56 | cvpr | 11 | 6 | 2023-06-03 02:03:23.733000 | https://github.com/ok1zjf/amnet | 43 | Amnet: Memorability estimation with attention | https://scholar.google.com/scholar?cluster=11101962702948448138&hl=en&as_sdt=0,33 | 5 | 2,018 |
Deep Marching Cubes: Learning Explicit Surface Representations | 198 | cvpr | 33 | 5 | 2023-06-03 02:03:23.933000 | https://github.com/yiyiliao/deep_marching_cubes | 240 | Deep marching cubes: Learning explicit surface representations | https://scholar.google.com/scholar?cluster=11921517846424504884&hl=en&as_sdt=0,33 | 9 | 2,018 |