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
|
|---|---|---|---|---|---|---|---|---|---|---|---|
Representation Similarity Analysis for Efficient Task Taxonomy & Transfer Learning | 100 | cvpr | 6 | 9 | 2023-06-03 02:19:01.337000 | https://github.com/kshitijd20/RSA-CVPR19-release | 24 | Representation similarity analysis for efficient task taxonomy & transfer learning | https://scholar.google.com/scholar?cluster=11083483928699627897&hl=en&as_sdt=0,36 | 6 | 2,019 |
Progressive Image Deraining Networks: A Better and Simpler Baseline | 578 | cvpr | 52 | 23 | 2023-06-03 02:19:01.538000 | https://github.com/csdwren/PReNet | 200 | Progressive image deraining networks: A better and simpler baseline | https://scholar.google.com/scholar?cluster=11537285553279008829&hl=en&as_sdt=0,34 | 7 | 2,019 |
Object Counting and Instance Segmentation With Image-Level Supervision | 99 | cvpr | 42 | 6 | 2023-06-03 02:19:01.738000 | https://github.com/GuoleiSun/CountSeg | 155 | Object counting and instance segmentation with image-level supervision | https://scholar.google.com/scholar?cluster=13538740343173106848&hl=en&as_sdt=0,5 | 5 | 2,019 |
GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud | 270 | cvpr | 20 | 3 | 2023-06-03 02:19:01.940000 | https://github.com/ericyi/GSPN | 89 | Gspn: Generative shape proposal network for 3d instance segmentation in point cloud | https://scholar.google.com/scholar?cluster=197770165510054862&hl=en&as_sdt=0,3 | 7 | 2,019 |
Single Image Reflection Removal Exploiting Misaligned Training Data and Network Enhancements | 115 | cvpr | 51 | 5 | 2023-06-03 02:19:02.140000 | https://github.com/Vandermode/ERRNet | 219 | Single image reflection removal exploiting misaligned training data and network enhancements | https://scholar.google.com/scholar?cluster=14306355940650189000&hl=en&as_sdt=0,5 | 7 | 2,019 |
Compressing Convolutional Neural Networks via Factorized Convolutional Filters | 96 | cvpr | 4 | 2 | 2023-06-03 02:19:02.341000 | https://github.com/wubaoyuan/CNN-FCF-CVPR-2019 | 24 | Compressing convolutional neural networks via factorized convolutional filters | https://scholar.google.com/scholar?cluster=482598369462314362&hl=en&as_sdt=0,44 | 2 | 2,019 |
A Local Block Coordinate Descent Algorithm for the CSC Model | 50 | cvpr | 16 | 0 | 2023-06-03 02:19:02.542000 | https://github.com/EvZissel/LoBCoD | 29 | A local block coordinate descent algorithm for the CSC model | https://scholar.google.com/scholar?cluster=7478959742684637648&hl=en&as_sdt=0,47 | 2 | 2,019 |
PCAN: 3D Attention Map Learning Using Contextual Information for Point Cloud Based Retrieval | 147 | cvpr | 12 | 1 | 2023-06-03 02:19:02.742000 | https://github.com/XLechter/PCAN | 70 | PCAN: 3D attention map learning using contextual information for point cloud based retrieval | https://scholar.google.com/scholar?cluster=9016390861743795252&hl=en&as_sdt=0,5 | 2 | 2,019 |
Discovering Fair Representations in the Data Domain | 114 | cvpr | 0 | 2 | 2023-06-03 02:19:02.943000 | https://github.com/predictive-analytics-lab/Data-Domain-Fairness | 4 | Discovering fair representations in the data domain | https://scholar.google.com/scholar?cluster=7406811945738630066&hl=en&as_sdt=0,47 | 2 | 2,019 |
Self-Supervised Spatio-Temporal Representation Learning for Videos by Predicting Motion and Appearance Statistics | 201 | cvpr | 10 | 3 | 2023-06-03 02:19:03.145000 | https://github.com/laura-wang/video_repres_mas | 63 | Self-supervised spatio-temporal representation learning for videos by predicting motion and appearance statistics | https://scholar.google.com/scholar?cluster=4125071649338402327&hl=en&as_sdt=0,22 | 7 | 2,019 |
Actor-Critic Instance Segmentation | 13 | cvpr | 4 | 2 | 2023-06-03 02:19:03.348000 | https://github.com/visinf/acis | 17 | Actor-critic instance segmentation | https://scholar.google.com/scholar?cluster=10107918392054632169&hl=en&as_sdt=0,5 | 6 | 2,019 |
Good News, Everyone! Context Driven Entity-Aware Captioning for News Images | 109 | cvpr | 18 | 10 | 2023-06-03 02:19:03.548000 | https://github.com/furkanbiten/GoodNews | 116 | Good news, everyone! context driven entity-aware captioning for news images | https://scholar.google.com/scholar?cluster=3470684972319721114&hl=en&as_sdt=0,27 | 8 | 2,019 |
Multi-Level Multimodal Common Semantic Space for Image-Phrase Grounding | 63 | cvpr | 10 | 1 | 2023-06-03 02:19:03.749000 | https://github.com/hassanhub/MultiGrounding | 30 | Multi-level multimodal common semantic space for image-phrase grounding | https://scholar.google.com/scholar?cluster=6461806921919353461&hl=en&as_sdt=0,5 | 3 | 2,019 |
Residual Regression With Semantic Prior for Crowd Counting | 106 | cvpr | 5 | 2 | 2023-06-03 02:19:03.950000 | https://github.com/jia-wan/ResidualRegression-pytorch | 16 | Residual regression with semantic prior for crowd counting | https://scholar.google.com/scholar?cluster=10737601878160272620&hl=en&as_sdt=0,6 | 2 | 2,019 |
Informative Object Annotations: Tell Me Something I Don't Know | 3 | cvpr | 0 | 0 | 2023-06-03 02:19:04.151000 | https://github.com/liorbracha/iota | 0 | Informative Object Annotations: Tell Me Something I Don't Know | https://scholar.google.com/scholar?cluster=5005547084014933732&hl=en&as_sdt=0,5 | 1 | 2,019 |
Adversarial Structure Matching for Structured Prediction Tasks | 16 | cvpr | 2 | 0 | 2023-06-03 02:19:04.351000 | https://github.com/twke18/Adversarial_Structure_Matching | 11 | Adversarial structure matching for structured prediction tasks | https://scholar.google.com/scholar?cluster=15898235672453930518&hl=en&as_sdt=0,10 | 5 | 2,019 |
Unsupervised Image Matching and Object Discovery as Optimization | 60 | cvpr | 0 | 0 | 2023-06-03 02:19:04.552000 | https://github.com/huyvvo/OSD | 13 | Unsupervised image matching and object discovery as optimization | https://scholar.google.com/scholar?cluster=5692088936488589654&hl=en&as_sdt=0,33 | 1 | 2,019 |
Vision-Based Navigation With Language-Based Assistance via Imitation Learning With Indirect Intervention | 94 | cvpr | 14 | 0 | 2023-06-03 02:19:04.752000 | https://github.com/debadeepta/vnla | 60 | Vision-based navigation with language-based assistance via imitation learning with indirect intervention | https://scholar.google.com/scholar?cluster=8625024317902722147&hl=en&as_sdt=0,33 | 9 | 2,019 |
Show, Control and Tell: A Framework for Generating Controllable and Grounded Captions | 155 | cvpr | 59 | 13 | 2023-06-03 02:19:04.953000 | https://github.com/aimagelab/show-control-and-tell | 278 | Show, control and tell: A framework for generating controllable and grounded captions | https://scholar.google.com/scholar?cluster=395364837651406081&hl=en&as_sdt=0,5 | 10 | 2,019 |
TOUCHDOWN: Natural Language Navigation and Spatial Reasoning in Visual Street Environments | 282 | cvpr | 11 | 0 | 2023-06-03 02:19:05.154000 | https://github.com/lil-lab/touchdown | 78 | Touchdown: Natural language navigation and spatial reasoning in visual street environments | https://scholar.google.com/scholar?cluster=2750266339730477598&hl=en&as_sdt=0,33 | 14 | 2,019 |
Towards VQA Models That Can Read | 326 | cvpr | 926 | 137 | 2023-06-03 02:19:05.355000 | https://github.com/facebookresearch/pythia | 5,236 | Towards vqa models that can read | https://scholar.google.com/scholar?cluster=17041161243010218128&hl=en&as_sdt=0,39 | 117 | 2,019 |
Associatively Segmenting Instances and Semantics in Point Clouds | 209 | cvpr | 64 | 15 | 2023-06-03 02:19:05.556000 | https://github.com/WXinlong/ASIS | 243 | Associatively segmenting instances and semantics in point clouds | https://scholar.google.com/scholar?cluster=13739004401786447102&hl=en&as_sdt=0,33 | 3 | 2,019 |
End-To-End Learned Random Walker for Seeded Image Segmentation | 18 | cvpr | 2 | 0 | 2023-06-03 02:19:05.757000 | https://github.com/hci-unihd/pytorch-LearnedRandomWalker | 26 | End-to-end learned random walker for seeded image segmentation | https://scholar.google.com/scholar?cluster=14205871461075910768&hl=en&as_sdt=0,5 | 3 | 2,019 |
Efficient Neural Network Compression | 92 | cvpr | 1 | 0 | 2023-06-03 02:19:05.957000 | https://github.com/Hyeji-Kim/ENC | 22 | Efficient neural network compression | https://scholar.google.com/scholar?cluster=2440997436241799897&hl=en&as_sdt=0,5 | 2 | 2,019 |
Explainable and Explicit Visual Reasoning Over Scene Graphs | 187 | cvpr | 18 | 4 | 2023-06-03 02:19:06.168000 | https://github.com/shijx12/XNM-Net | 95 | Explainable and explicit visual reasoning over scene graphs | https://scholar.google.com/scholar?cluster=8517395712319798436&hl=en&as_sdt=0,5 | 3 | 2,019 |
Transfer Learning via Unsupervised Task Discovery for Visual Question Answering | 16 | cvpr | 4 | 0 | 2023-06-03 02:19:06.369000 | https://github.com/HyeonwooNoh/vqa_task_discovery | 32 | Transfer learning via unsupervised task discovery for visual question answering | https://scholar.google.com/scholar?cluster=9442012245217169205&hl=en&as_sdt=0,43 | 4 | 2,019 |
Uncertainty Guided Multi-Scale Residual Learning-Using a Cycle Spinning CNN for Single Image De-Raining | 194 | cvpr | 6 | 1 | 2023-06-03 02:19:06.569000 | https://github.com/rajeevyasarla/UMRL--using-Cycle-Spinning | 21 | Uncertainty guided multi-scale residual learning-using a cycle spinning cnn for single image de-raining | https://scholar.google.com/scholar?cluster=14146589120712972884&hl=en&as_sdt=0,5 | 2 | 2,019 |
Dynamics Are Important for the Recognition of Equine Pain in Video | 20 | cvpr | 8 | 1 | 2023-06-03 02:19:06.770000 | https://github.com/sofiabroome/painface-recognition | 24 | Dynamics are important for the recognition of equine pain in video | https://scholar.google.com/scholar?cluster=2332358808596779162&hl=en&as_sdt=0,33 | 5 | 2,019 |
Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving | 829 | cvpr | 206 | 23 | 2023-06-03 02:19:06.970000 | https://github.com/mileyan/pseudo_lidar | 908 | Pseudo-lidar from visual depth estimation: Bridging the gap in 3d object detection for autonomous driving | https://scholar.google.com/scholar?cluster=10762721569852637212&hl=en&as_sdt=0,1 | 45 | 2,019 |
Metric Learning for Image Registration | 80 | cvpr | 29 | 1 | 2023-06-03 02:19:07.170000 | https://github.com/uncbiag/registration | 245 | Metric learning for image registration | https://scholar.google.com/scholar?cluster=5466190255647225576&hl=en&as_sdt=0,3 | 16 | 2,019 |
PointPillars: Fast Encoders for Object Detection From Point Clouds | 2,074 | cvpr | 232 | 1 | 2023-06-03 02:19:07.371000 | https://github.com/nutonomy/second.pytorch | 888 | Pointpillars: Fast encoders for object detection from point clouds | https://scholar.google.com/scholar?cluster=2548197935459779982&hl=en&as_sdt=0,5 | 62 | 2,019 |
Large Scale High-Resolution Land Cover Mapping With Multi-Resolution Data | 75 | cvpr | 22 | 3 | 2023-06-03 02:19:07.571000 | https://github.com/calebrob6/land-cover | 82 | Large scale high-resolution land cover mapping with multi-resolution data | https://scholar.google.com/scholar?cluster=485676681711658934&hl=en&as_sdt=0,5 | 4 | 2,019 |
Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training | 352 | cvpr | 9 | 2 | 2023-06-03 02:19:07.772000 | https://github.com/TencentYoutuResearch/PersonReID-Pyramid | 21 | Pyramidal person re-identification via multi-loss dynamic training | https://scholar.google.com/scholar?cluster=4672402664853334509&hl=en&as_sdt=0,47 | 4 | 2,019 |
Dual Super-Resolution Learning for Semantic Segmentation | 120 | cvpr | 7 | 2 | 2023-06-03 02:42:43.513000 | https://github.com/wanglixilinx/DSRL | 106 | Dual super-resolution learning for semantic segmentation | https://scholar.google.com/scholar?cluster=9626575908232283019&hl=en&as_sdt=0,33 | 21 | 2,020 |
Deep Unfolding Network for Image Super-Resolution | 375 | cvpr | 114 | 10 | 2023-06-03 02:42:43.714000 | https://github.com/cszn/USRNet | 775 | Deep unfolding network for image super-resolution | https://scholar.google.com/scholar?cluster=15871370420804183123&hl=en&as_sdt=0,5 | 37 | 2,020 |
Unsupervised Learning for Intrinsic Image Decomposition From a Single Image | 76 | cvpr | 15 | 6 | 2023-06-03 02:42:43.932000 | https://github.com/DreamtaleCore/USI3D | 74 | Unsupervised learning for intrinsic image decomposition from a single image | https://scholar.google.com/scholar?cluster=12246217488878001072&hl=en&as_sdt=0,32 | 3 | 2,020 |
Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference | 102 | cvpr | 14 | 12 | 2023-06-03 02:42:44.134000 | https://github.com/thomasverelst/dynconv | 120 | Dynamic convolutions: Exploiting spatial sparsity for faster inference | https://scholar.google.com/scholar?cluster=7569188649826421763&hl=en&as_sdt=0,5 | 4 | 2,020 |
IDA-3D: Instance-Depth-Aware 3D Object Detection From Stereo Vision for Autonomous Driving | 46 | cvpr | 15 | 0 | 2023-06-03 02:42:44.334000 | https://github.com/swords123/IDA-3D | 72 | Ida-3d: Instance-depth-aware 3d object detection from stereo vision for autonomous driving | https://scholar.google.com/scholar?cluster=2719754974248434502&hl=en&as_sdt=0,36 | 6 | 2,020 |
Forward and Backward Information Retention for Accurate Binary Neural Networks | 229 | cvpr | 35 | 7 | 2023-06-03 02:42:44.534000 | https://github.com/htqin/IR-Net | 162 | Forward and backward information retention for accurate binary neural networks | https://scholar.google.com/scholar?cluster=17180565643358827499&hl=en&as_sdt=0,33 | 5 | 2,020 |
KeypointNet: A Large-Scale 3D Keypoint Dataset Aggregated From Numerous Human Annotations | 41 | cvpr | 14 | 2 | 2023-06-03 02:42:44.734000 | https://github.com/qq456cvb/KeypointNet | 124 | Keypointnet: A large-scale 3d keypoint dataset aggregated from numerous human annotations | https://scholar.google.com/scholar?cluster=11800283893745484191&hl=en&as_sdt=0,36 | 8 | 2,020 |
Cooling-Shrinking Attack: Blinding the Tracker With Imperceptible Noises | 56 | cvpr | 6 | 6 | 2023-06-03 02:42:44.935000 | https://github.com/MasterBin-IIAU/CSA | 54 | Cooling-shrinking attack: Blinding the tracker with imperceptible noises | https://scholar.google.com/scholar?cluster=18361255063345420357&hl=en&as_sdt=0,48 | 4 | 2,020 |
Bridging the Gap Between Anchor-Based and Anchor-Free Detection via Adaptive Training Sample Selection | 1,019 | cvpr | 161 | 20 | 2023-06-03 02:42:45.136000 | https://github.com/sfzhang15/ATSS | 1,038 | Bridging the gap between anchor-based and anchor-free detection via adaptive training sample selection | https://scholar.google.com/scholar?cluster=11324600873272743514&hl=en&as_sdt=0,5 | 25 | 2,020 |
Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution | 130 | cvpr | 168 | 17 | 2023-06-03 02:42:45.336000 | https://github.com/Mukosame/Zooming-Slow-Mo-CVPR-2020 | 852 | Zooming slow-mo: Fast and accurate one-stage space-time video super-resolution | https://scholar.google.com/scholar?cluster=3907379195879536163&hl=en&as_sdt=0,31 | 30 | 2,020 |
Structure Aware Single-Stage 3D Object Detection From Point Cloud | 383 | cvpr | 105 | 57 | 2023-06-03 02:42:45.536000 | https://github.com/skyhehe123/SA-SSD | 471 | Structure aware single-stage 3d object detection from point cloud | https://scholar.google.com/scholar?cluster=4441951083249138696&hl=en&as_sdt=0,5 | 20 | 2,020 |
A Local-to-Global Approach to Multi-Modal Movie Scene Segmentation | 86 | cvpr | 40 | 13 | 2023-06-03 02:42:45.736000 | https://github.com/AnyiRao/SceneSeg | 191 | A local-to-global approach to multi-modal movie scene segmentation | https://scholar.google.com/scholar?cluster=592994252756538794&hl=en&as_sdt=0,5 | 8 | 2,020 |
Video to Events: Recycling Video Datasets for Event Cameras | 112 | cvpr | 67 | 27 | 2023-06-03 02:42:45.937000 | https://github.com/uzh-rpg/rpg_vid2e | 233 | Video to events: Recycling video datasets for event cameras | https://scholar.google.com/scholar?cluster=14107615774727791268&hl=en&as_sdt=0,14 | 23 | 2,020 |
Unsupervised Learning From Video With Deep Neural Embeddings | 53 | cvpr | 15 | 9 | 2023-06-03 02:42:46.142000 | https://github.com/neuroailab/VIE | 79 | Unsupervised learning from video with deep neural embeddings | https://scholar.google.com/scholar?cluster=3746976281713793865&hl=en&as_sdt=0,41 | 5 | 2,020 |
Use the Force, Luke! Learning to Predict Physical Forces by Simulating Effects | 36 | cvpr | 12 | 4 | 2023-06-03 02:42:46.343000 | https://github.com/ehsanik/touchTorch | 63 | Use the force, luke! learning to predict physical forces by simulating effects | https://scholar.google.com/scholar?cluster=3630174886469941969&hl=en&as_sdt=0,33 | 2 | 2,020 |
A Unified Optimization Framework for Low-Rank Inducing Penalties | 4 | cvpr | 0 | 0 | 2023-06-03 02:42:46.544000 | https://github.com/marcusvaltonen/UnifiedFramework | 0 | A unified optimization framework for low-rank inducing penalties | https://scholar.google.com/scholar?cluster=7694607094687908138&hl=en&as_sdt=0,5 | 2 | 2,020 |
NeuralScale: Efficient Scaling of Neurons for Resource-Constrained Deep Neural Networks | 15 | cvpr | 1 | 0 | 2023-06-03 02:42:46.744000 | https://github.com/eugenelet/NeuralScale | 22 | Neuralscale: Efficient scaling of neurons for resource-constrained deep neural networks | https://scholar.google.com/scholar?cluster=16108079615293456149&hl=en&as_sdt=0,19 | 5 | 2,020 |
Cost Volume Pyramid Based Depth Inference for Multi-View Stereo | 175 | cvpr | 33 | 18 | 2023-06-03 02:42:46.945000 | https://github.com/JiayuYANG/CVP-MVSNet | 220 | Cost volume pyramid based depth inference for multi-view stereo | https://scholar.google.com/scholar?cluster=7347427476190421012&hl=en&as_sdt=0,24 | 11 | 2,020 |
Rethinking the Route Towards Weakly Supervised Object Localization | 66 | cvpr | 19 | 0 | 2023-06-03 02:42:47.146000 | https://github.com/tzzcl/PSOL | 65 | Rethinking the route towards weakly supervised object localization | https://scholar.google.com/scholar?cluster=16844557112615644004&hl=en&as_sdt=0,33 | 4 | 2,020 |
Transfer Learning From Synthetic to Real-Noise Denoising With Adaptive Instance Normalization | 138 | cvpr | 14 | 10 | 2023-06-03 02:42:47.346000 | https://github.com/terryoo/AINDNet | 73 | Transfer learning from synthetic to real-noise denoising with adaptive instance normalization | https://scholar.google.com/scholar?cluster=15871516082637294149&hl=en&as_sdt=0,6 | 6 | 2,020 |
Learning for Video Compression With Hierarchical Quality and Recurrent Enhancement | 137 | cvpr | 17 | 0 | 2023-06-03 02:42:47.547000 | https://github.com/RenYang-home/HLVC | 119 | Learning for video compression with hierarchical quality and recurrent enhancement | https://scholar.google.com/scholar?cluster=14996736321329218278&hl=en&as_sdt=0,5 | 12 | 2,020 |
Sub-Frame Appearance and 6D Pose Estimation of Fast Moving Objects | 11 | cvpr | 4 | 0 | 2023-06-03 02:42:47.748000 | https://github.com/rozumden/deblatting_python | 20 | Sub-frame appearance and 6d pose estimation of fast moving objects | https://scholar.google.com/scholar?cluster=15148426920849576029&hl=en&as_sdt=0,5 | 2 | 2,020 |
Violin: A Large-Scale Dataset for Video-and-Language Inference | 51 | cvpr | 13 | 6 | 2023-06-03 02:42:47.948000 | https://github.com/jimmy646/violin | 147 | Violin: A large-scale dataset for video-and-language inference | https://scholar.google.com/scholar?cluster=5273353532207843404&hl=en&as_sdt=0,5 | 11 | 2,020 |
Local Context Normalization: Revisiting Local Normalization | 28 | cvpr | 2 | 4 | 2023-06-03 02:42:48.149000 | https://github.com/anthonymlortiz/lcn | 18 | Local context normalization: Revisiting local normalization | https://scholar.google.com/scholar?cluster=16204558090215526984&hl=en&as_sdt=0,5 | 3 | 2,020 |
Flow2Stereo: Effective Self-Supervised Learning of Optical Flow and Stereo Matching | 43 | cvpr | 0 | 4 | 2023-06-03 02:42:48.349000 | https://github.com/ppliuboy/Flow2Stereo | 54 | Flow2stereo: Effective self-supervised learning of optical flow and stereo matching | https://scholar.google.com/scholar?cluster=13345498430401992330&hl=en&as_sdt=0,16 | 13 | 2,020 |
Tangent Images for Mitigating Spherical Distortion | 66 | cvpr | 14 | 5 | 2023-06-03 02:42:48.549000 | https://github.com/meder411/Tangent-Images | 61 | Tangent images for mitigating spherical distortion | https://scholar.google.com/scholar?cluster=7413500507564109350&hl=en&as_sdt=0,31 | 8 | 2,020 |
Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation | 140 | cvpr | 12 | 1 | 2023-06-03 02:42:48.749000 | https://github.com/Ha0Tang/LGGAN | 134 | Local class-specific and global image-level generative adversarial networks for semantic-guided scene generation | https://scholar.google.com/scholar?cluster=15314679110337952068&hl=en&as_sdt=0,10 | 11 | 2,020 |
Cascaded Deep Video Deblurring Using Temporal Sharpness Prior | 108 | cvpr | 49 | 11 | 2023-06-03 02:42:48.950000 | https://github.com/csbhr/CDVD-TSP | 242 | Cascaded deep video deblurring using temporal sharpness prior | https://scholar.google.com/scholar?cluster=65906966357560872&hl=en&as_sdt=0,33 | 8 | 2,020 |
xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation | 105 | cvpr | 33 | 2 | 2023-06-03 02:42:49.150000 | https://github.com/valeoai/xmuda | 165 | xmuda: Cross-modal unsupervised domain adaptation for 3d semantic segmentation | https://scholar.google.com/scholar?cluster=875082267491511443&hl=en&as_sdt=0,5 | 14 | 2,020 |
Deep Facial Non-Rigid Multi-View Stereo | 47 | cvpr | 26 | 7 | 2023-06-03 02:42:49.351000 | https://github.com/zqbai-jeremy/dfnrmvs | 151 | Deep facial non-rigid multi-view stereo | https://scholar.google.com/scholar?cluster=14710284482588255933&hl=en&as_sdt=0,33 | 11 | 2,020 |
SmallBigNet: Integrating Core and Contextual Views for Video Classification | 76 | cvpr | 2 | 3 | 2023-06-03 02:42:49.552000 | https://github.com/xhl-video/SmallBigNet | 38 | Smallbignet: Integrating core and contextual views for video classification | https://scholar.google.com/scholar?cluster=16616613355339499180&hl=en&as_sdt=0,10 | 7 | 2,020 |
Deep Shutter Unrolling Network | 29 | cvpr | 5 | 7 | 2023-06-03 02:42:49.752000 | https://github.com/ethliup/DeepUnrollNet | 38 | Deep shutter unrolling network | https://scholar.google.com/scholar?cluster=8907904738398714401&hl=en&as_sdt=0,18 | 2 | 2,020 |
Learning Geocentric Object Pose in Oblique Monocular Images | 16 | cvpr | 10 | 0 | 2023-06-03 02:42:49.952000 | https://github.com/pubgeo/monocular-geocentric-pose | 45 | Learning geocentric object pose in oblique monocular images | https://scholar.google.com/scholar?cluster=8090417501108406268&hl=en&as_sdt=0,5 | 8 | 2,020 |
DPGN: Distribution Propagation Graph Network for Few-Shot Learning | 187 | cvpr | 38 | 18 | 2023-06-03 02:42:50.153000 | https://github.com/megvii-research/DPGN | 165 | Dpgn: Distribution propagation graph network for few-shot learning | https://scholar.google.com/scholar?cluster=5187741069496682229&hl=en&as_sdt=0,22 | 12 | 2,020 |
Towards Learning Structure via Consensus for Face Segmentation and Parsing | 13 | cvpr | 10 | 1 | 2023-06-03 02:42:50.353000 | https://github.com/isi-vista/structure_via_consensus | 55 | Towards learning structure via consensus for face segmentation and parsing | https://scholar.google.com/scholar?cluster=948869340895967812&hl=en&as_sdt=0,41 | 6 | 2,020 |
Cross-Domain Document Object Detection: Benchmark Suite and Method | 32 | cvpr | 4 | 7 | 2023-06-03 02:42:50.554000 | https://github.com/kailigo/cddod | 40 | Cross-domain document object detection: Benchmark suite and method | https://scholar.google.com/scholar?cluster=11273124199360326736&hl=en&as_sdt=0,11 | 8 | 2,020 |
RoboTHOR: An Open Simulation-to-Real Embodied AI Platform | 144 | cvpr | 195 | 201 | 2023-06-03 02:42:50.755000 | https://github.com/allenai/ai2thor | 825 | Robothor: An open simulation-to-real embodied ai platform | https://scholar.google.com/scholar?cluster=12852310333821230905&hl=en&as_sdt=0,33 | 68 | 2,020 |
On Translation Invariance in CNNs: Convolutional Layers Can Exploit Absolute Spatial Location | 190 | cvpr | 3 | 1 | 2023-06-03 02:42:50.955000 | https://github.com/oskyhn/CNNs-Without-Borders | 69 | On translation invariance in cnns: Convolutional layers can exploit absolute spatial location | https://scholar.google.com/scholar?cluster=13756215989357813725&hl=en&as_sdt=0,47 | 11 | 2,020 |
Style Normalization and Restitution for Generalizable Person Re-Identification | 235 | cvpr | 9 | 9 | 2023-06-03 02:42:51.159000 | https://github.com/microsoft/SNR | 60 | Style normalization and restitution for generalizable person re-identification | https://scholar.google.com/scholar?cluster=16896347985638693525&hl=en&as_sdt=0,5 | 3 | 2,020 |
Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis | 103 | cvpr | 11 | 1 | 2023-06-03 02:42:51.360000 | https://github.com/autonomousvision/controllable_image_synthesis | 66 | Towards unsupervised learning of generative models for 3d controllable image synthesis | https://scholar.google.com/scholar?cluster=1217881837248907783&hl=en&as_sdt=0,5 | 17 | 2,020 |
Training Noise-Robust Deep Neural Networks via Meta-Learning | 49 | cvpr | 2 | 0 | 2023-06-03 02:42:51.560000 | https://github.com/ZhenWang-PhD/Training-Noise-Robust-Deep-Neural-Networks-via-Meta-Learning | 19 | Training noise-robust deep neural networks via meta-learning | https://scholar.google.com/scholar?cluster=4267319052292614392&hl=en&as_sdt=0,5 | 1 | 2,020 |
Exploit Clues From Views: Self-Supervised and Regularized Learning for Multiview Object Recognition | 10 | cvpr | 7 | 0 | 2023-06-03 02:42:51.761000 | https://github.com/chihhuiho/VISPE | 12 | Exploit clues from views: Self-supervised and regularized learning for multiview object recognition | https://scholar.google.com/scholar?cluster=3529830865988272132&hl=en&as_sdt=0,14 | 4 | 2,020 |
SampleNet: Differentiable Point Cloud Sampling | 114 | cvpr | 40 | 0 | 2023-06-03 02:42:51.969000 | https://github.com/itailang/SampleNet | 322 | Samplenet: Differentiable point cloud sampling | https://scholar.google.com/scholar?cluster=4879612133923428164&hl=en&as_sdt=0,18 | 8 | 2,020 |
Towards Transferable Targeted Attack | 57 | cvpr | 0 | 0 | 2023-06-03 02:42:52.170000 | https://github.com/TiJoy/Towards-Transferable-Targeted-Attack | 10 | Towards transferable targeted attack | https://scholar.google.com/scholar?cluster=12435512203496950441&hl=en&as_sdt=0,4 | 2 | 2,020 |
Supervised Raw Video Denoising With a Benchmark Dataset on Dynamic Scenes | 80 | cvpr | 30 | 14 | 2023-06-03 02:42:52.370000 | https://github.com/cao-cong/RViDeNet | 165 | Supervised raw video denoising with a benchmark dataset on dynamic scenes | https://scholar.google.com/scholar?cluster=668215183292873797&hl=en&as_sdt=0,5 | 13 | 2,020 |
Online Deep Clustering for Unsupervised Representation Learning | 155 | cvpr | 409 | 38 | 2023-06-03 02:42:52.570000 | https://github.com/open-mmlab/OpenSelfSup | 2,762 | Online deep clustering for unsupervised representation learning | https://scholar.google.com/scholar?cluster=6265301829446145393&hl=en&as_sdt=0,14 | 41 | 2,020 |
Graph Embedded Pose Clustering for Anomaly Detection | 110 | cvpr | 16 | 11 | 2023-06-03 02:42:52.770000 | https://github.com/amirmk89/gepc | 68 | Graph embedded pose clustering for anomaly detection | https://scholar.google.com/scholar?cluster=7277677910039981714&hl=en&as_sdt=0,33 | 7 | 2,020 |
FDA: Fourier Domain Adaptation for Semantic Segmentation | 518 | cvpr | 67 | 19 | 2023-06-03 02:42:52.970000 | https://github.com/YanchaoYang/FDA | 395 | Fda: Fourier domain adaptation for semantic segmentation | https://scholar.google.com/scholar?cluster=6939572614497399848&hl=en&as_sdt=0,5 | 7 | 2,020 |
Graph Structured Network for Image-Text Matching | 142 | cvpr | 26 | 18 | 2023-06-03 02:42:53.170000 | https://github.com/CrossmodalGroup/GSMN | 151 | Graph structured network for image-text matching | https://scholar.google.com/scholar?cluster=944787583936341960&hl=en&as_sdt=0,33 | 8 | 2,020 |
SynSin: End-to-End View Synthesis From a Single Image | 255 | cvpr | 91 | 14 | 2023-06-03 02:42:53.370000 | https://github.com/facebookresearch/synsin | 613 | Synsin: End-to-end view synthesis from a single image | https://scholar.google.com/scholar?cluster=8005682821434060108&hl=en&as_sdt=0,33 | 27 | 2,020 |
Instance Segmentation of Biological Images Using Harmonic Embeddings | 34 | cvpr | 11 | 3 | 2023-06-03 02:42:53.571000 | https://github.com/kulikovv/harmonic | 52 | Instance segmentation of biological images using harmonic embeddings | https://scholar.google.com/scholar?cluster=10346597625950322783&hl=en&as_sdt=0,33 | 7 | 2,020 |
HOPE-Net: A Graph-Based Model for Hand-Object Pose Estimation | 137 | cvpr | 54 | 16 | 2023-06-03 02:42:53.771000 | https://github.com/bardiadoosti/HOPE | 252 | Hope-net: A graph-based model for hand-object pose estimation | https://scholar.google.com/scholar?cluster=17486249697962556113&hl=en&as_sdt=0,5 | 17 | 2,020 |
Rethinking Zero-Shot Video Classification: End-to-End Training for Realistic Applications | 96 | cvpr | 22 | 6 | 2023-06-03 02:42:53.971000 | https://github.com/bbrattoli/ZeroShotVideoClassification | 140 | Rethinking zero-shot video classification: End-to-end training for realistic applications | https://scholar.google.com/scholar?cluster=5690120467042779129&hl=en&as_sdt=0,5 | 10 | 2,020 |
What You See is What You Get: Exploiting Visibility for 3D Object Detection | 105 | cvpr | 16 | 2 | 2023-06-03 02:42:54.171000 | https://github.com/peiyunh/wysiwyg | 104 | What you see is what you get: Exploiting visibility for 3d object detection | https://scholar.google.com/scholar?cluster=11892744876522525600&hl=en&as_sdt=0,11 | 11 | 2,020 |
A Multigrid Method for Efficiently Training Video Models | 93 | cvpr | 1,143 | 348 | 2023-06-03 02:42:54.372000 | https://github.com/facebookresearch/SlowFast | 5,685 | A multigrid method for efficiently training video models | https://scholar.google.com/scholar?cluster=2801918111473713808&hl=en&as_sdt=0,39 | 97 | 2,020 |
Visual Grounding in Video for Unsupervised Word Translation | 44 | cvpr | 8 | 1 | 2023-06-03 02:42:54.572000 | https://github.com/gsig/visual-grounding | 40 | Visual grounding in video for unsupervised word translation | https://scholar.google.com/scholar?cluster=15024758484722184628&hl=en&as_sdt=0,5 | 8 | 2,020 |
Deep 3D Portrait From a Single Image | 38 | cvpr | 68 | 6 | 2023-06-03 02:42:54.773000 | https://github.com/sicxu/Deep3dPortrait | 342 | Deep 3d portrait from a single image | https://scholar.google.com/scholar?cluster=3806982893174696653&hl=en&as_sdt=0,47 | 26 | 2,020 |
Learning Individual Speaking Styles for Accurate Lip to Speech Synthesis | 70 | cvpr | 135 | 17 | 2023-06-03 02:42:54.973000 | https://github.com/Rudrabha/Lip2Wav | 615 | Learning individual speaking styles for accurate lip to speech synthesis | https://scholar.google.com/scholar?cluster=13502787711988666633&hl=en&as_sdt=0,2 | 27 | 2,020 |
PPDM: Parallel Point Detection and Matching for Real-Time Human-Object Interaction Detection | 174 | cvpr | 43 | 6 | 2023-06-03 02:42:55.174000 | https://github.com/YueLiao/PPDM | 198 | Ppdm: Parallel point detection and matching for real-time human-object interaction detection | https://scholar.google.com/scholar?cluster=6282076644108174284&hl=en&as_sdt=0,33 | 11 | 2,020 |
Adversarial Latent Autoencoders | 198 | cvpr | 557 | 36 | 2023-06-03 02:42:55.374000 | https://github.com/podgorskiy/ALAE | 3,419 | Adversarial latent autoencoders | https://scholar.google.com/scholar?cluster=4723740871272276219&hl=en&as_sdt=0,47 | 88 | 2,020 |
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models | 372 | cvpr | 1,468 | 58 | 2023-06-03 02:42:55.574000 | https://github.com/adamian98/pulse | 7,322 | Pulse: Self-supervised photo upsampling via latent space exploration of generative models | https://scholar.google.com/scholar?cluster=15370347097554476132&hl=en&as_sdt=0,39 | 225 | 2,020 |
MANTRA: Memory Augmented Networks for Multiple Trajectory Prediction | 76 | cvpr | 13 | 2 | 2023-06-03 02:42:55.775000 | https://github.com/Marchetz/MANTRA-CVPR20 | 62 | Mantra: Memory augmented networks for multiple trajectory prediction | https://scholar.google.com/scholar?cluster=4210995734400618554&hl=en&as_sdt=0,5 | 3 | 2,020 |
Counterfactual Samples Synthesizing for Robust Visual Question Answering | 218 | cvpr | 18 | 8 | 2023-06-03 02:42:55.975000 | https://github.com/yanxinzju/CSS-VQA | 72 | Counterfactual samples synthesizing for robust visual question answering | https://scholar.google.com/scholar?cluster=11059606861371208469&hl=en&as_sdt=0,34 | 2 | 2,020 |
Inter-Region Affinity Distillation for Road Marking Segmentation | 79 | cvpr | 20 | 15 | 2023-06-03 02:42:56.175000 | https://github.com/cardwing/Codes-for-IntRA-KD | 106 | Inter-region affinity distillation for road marking segmentation | https://scholar.google.com/scholar?cluster=9537126389588928700&hl=en&as_sdt=0,14 | 5 | 2,020 |
GhostNet: More Features From Cheap Operations | 1,429 | cvpr | 648 | 59 | 2023-06-03 02:42:56.376000 | https://github.com/huawei-noah/ghostnet | 3,301 | Ghostnet: More features from cheap operations | https://scholar.google.com/scholar?cluster=9871260588333635525&hl=en&as_sdt=0,34 | 47 | 2,020 |
A2dele: Adaptive and Attentive Depth Distiller for Efficient RGB-D Salient Object Detection | 171 | cvpr | 6 | 0 | 2023-06-03 02:42:56.577000 | https://github.com/OIPLab-DUT/CVPR2020-A2dele | 39 | A2dele: Adaptive and attentive depth distiller for efficient RGB-D salient object detection | https://scholar.google.com/scholar?cluster=16876628898908447383&hl=en&as_sdt=0,5 | 2 | 2,020 |
SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization | 159 | cvpr | 15 | 9 | 2023-06-03 02:42:56.777000 | https://github.com/YueJiang-nj/CVPR2020-SDFDiff | 234 | Sdfdiff: Differentiable rendering of signed distance fields for 3d shape optimization | https://scholar.google.com/scholar?cluster=14066639183053244029&hl=en&as_sdt=0,5 | 10 | 2,020 |