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Predicting Goal-Directed Human Attention Using Inverse Reinforcement Learning | 60 | cvpr | 19 | 1 | 2023-06-03 02:44:37.538000 | https://github.com/cvlab-stonybrook/Scanpath_Prediction | 76 | Predicting goal-directed human attention using inverse reinforcement learning | https://scholar.google.com/scholar?cluster=8166141151783626827&hl=en&as_sdt=0,33 | 6 | 2,020 |
Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors | 88 | cvpr | 7 | 4 | 2023-06-03 02:44:37.738000 | https://github.com/giladcohen/NNIF_adv_defense | 27 | Detecting adversarial samples using influence functions and nearest neighbors | https://scholar.google.com/scholar?cluster=2252690017384501015&hl=en&as_sdt=0,10 | 3 | 2,020 |
Perceptual Quality Assessment of Smartphone Photography | 156 | cvpr | 34 | 6 | 2023-06-03 02:44:37.940000 | https://github.com/h4nwei/SPAQ | 126 | Perceptual quality assessment of smartphone photography | https://scholar.google.com/scholar?cluster=16242416187240613044&hl=en&as_sdt=0,33 | 5 | 2,020 |
LiDAR-Based Online 3D Video Object Detection With Graph-Based Message Passing and Spatiotemporal Transformer Attention | 114 | cvpr | 7 | 15 | 2023-06-03 02:44:38.141000 | https://github.com/yinjunbo/3DVID | 71 | Lidar-based online 3d video object detection with graph-based message passing and spatiotemporal transformer attention | https://scholar.google.com/scholar?cluster=1106004144690237377&hl=en&as_sdt=0,10 | 20 | 2,020 |
When NAS Meets Robustness: In Search of Robust Architectures Against Adversarial Attacks | 124 | cvpr | 16 | 10 | 2023-06-03 02:44:38.342000 | https://github.com/gmh14/RobNets | 120 | When nas meets robustness: In search of robust architectures against adversarial attacks | https://scholar.google.com/scholar?cluster=7847094734431264839&hl=en&as_sdt=0,31 | 7 | 2,020 |
Fast Symmetric Diffeomorphic Image Registration with Convolutional Neural Networks | 134 | cvpr | 31 | 1 | 2023-06-03 02:44:38.543000 | https://github.com/cwmok/Fast-Symmetric-Diffeomorphic-Image-Registration-with-Convolutional-Neural-Networks | 112 | Fast symmetric diffeomorphic image registration with convolutional neural networks | https://scholar.google.com/scholar?cluster=5270707781102159135&hl=en&as_sdt=0,5 | 3 | 2,020 |
Deep White-Balance Editing | 73 | cvpr | 57 | 4 | 2023-06-03 02:44:38.744000 | https://github.com/mahmoudnafifi/Deep_White_Balance | 412 | Deep white-balance editing | https://scholar.google.com/scholar?cluster=14477825371349896973&hl=en&as_sdt=0,5 | 22 | 2,020 |
Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection | 92 | cvpr | 25 | 6 | 2023-06-03 02:44:38.945000 | https://github.com/ggjy/HitDet.pytorch | 111 | Hit-detector: Hierarchical trinity architecture search for object detection | https://scholar.google.com/scholar?cluster=13554213228832152540&hl=en&as_sdt=0,26 | 10 | 2,020 |
Convolution in the Cloud: Learning Deformable Kernels in 3D Graph Convolution Networks for Point Cloud Analysis | 121 | cvpr | 13 | 3 | 2023-06-03 02:44:39.146000 | https://github.com/j1a0m0e4sNTU/3dgcn | 97 | Convolution in the cloud: Learning deformable kernels in 3d graph convolution networks for point cloud analysis | https://scholar.google.com/scholar?cluster=9373437675159417256&hl=en&as_sdt=0,5 | 3 | 2,020 |
Upgrading Optical Flow to 3D Scene Flow Through Optical Expansion | 49 | cvpr | 26 | 6 | 2023-06-03 02:44:39.348000 | https://github.com/gengshan-y/expansion | 154 | Upgrading optical flow to 3d scene flow through optical expansion | https://scholar.google.com/scholar?cluster=9007645461661941786&hl=en&as_sdt=0,5 | 7 | 2,020 |
Collaborative Distillation for Ultra-Resolution Universal Style Transfer | 69 | cvpr | 23 | 2 | 2023-06-03 02:44:39.549000 | https://github.com/mingsun-tse/collaborative-distillation | 180 | Collaborative distillation for ultra-resolution universal style transfer | https://scholar.google.com/scholar?cluster=14849554643871656949&hl=en&as_sdt=0,34 | 12 | 2,020 |
GAN Compression: Efficient Architectures for Interactive Conditional GANs | 164 | cvpr | 151 | 9 | 2023-06-03 02:44:39.750000 | https://github.com/mit-han-lab/gan-compression | 1,049 | Gan compression: Efficient architectures for interactive conditional gans | https://scholar.google.com/scholar?cluster=4661770039879488594&hl=en&as_sdt=0,5 | 33 | 2,020 |
Equalization Loss for Long-Tailed Object Recognition | 281 | cvpr | 17 | 4 | 2023-06-03 02:44:39.951000 | https://github.com/tztztztztz/eql.detectron2 | 199 | Equalization loss for long-tailed object recognition | https://scholar.google.com/scholar?cluster=15099630745162536399&hl=en&as_sdt=0,5 | 9 | 2,020 |
M-LVC: Multiple Frames Prediction for Learned Video Compression | 111 | cvpr | 14 | 3 | 2023-06-03 02:44:40.152000 | https://github.com/JianpingLin/M-LVC_CVPR2020 | 65 | M-LVC: Multiple frames prediction for learned video compression | https://scholar.google.com/scholar?cluster=5201045318110504191&hl=en&as_sdt=0,14 | 8 | 2,020 |
Hierarchical Conditional Relation Networks for Video Question Answering | 169 | cvpr | 24 | 3 | 2023-06-03 02:44:40.354000 | https://github.com/thaolmk54/hcrn-videoqa | 120 | Hierarchical conditional relation networks for video question answering | https://scholar.google.com/scholar?cluster=15820917450735928278&hl=en&as_sdt=0,5 | 7 | 2,020 |
Fusing Wearable IMUs With Multi-View Images for Human Pose Estimation: A Geometric Approach | 45 | cvpr | 15 | 7 | 2023-06-03 02:44:40.556000 | https://github.com/CHUNYUWANG/imu-human-pose-pytorch | 84 | Fusing wearable imus with multi-view images for human pose estimation: A geometric approach | https://scholar.google.com/scholar?cluster=6381641994204290216&hl=en&as_sdt=0,5 | 7 | 2,020 |
PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer | 98 | cvpr | 128 | 9 | 2023-06-03 02:44:40.757000 | https://github.com/wtjiang98/PSGAN | 637 | Psgan: Pose and expression robust spatial-aware gan for customizable makeup transfer | https://scholar.google.com/scholar?cluster=12665927355852020368&hl=en&as_sdt=0,5 | 33 | 2,020 |
Single-Stage 6D Object Pose Estimation | 139 | cvpr | 14 | 6 | 2023-06-03 02:44:40.958000 | https://github.com/cvlab-epfl/single-stage-pose | 93 | Single-stage 6d object pose estimation | https://scholar.google.com/scholar?cluster=16555159401268215436&hl=en&as_sdt=0,5 | 13 | 2,020 |
McFlow: Monte Carlo Flow Models for Data Imputation | 28 | cvpr | 3 | 2 | 2023-06-03 02:44:41.159000 | https://github.com/trevor-richardson/MCFlow | 13 | Mcflow: Monte carlo flow models for data imputation | https://scholar.google.com/scholar?cluster=17601369502336234807&hl=en&as_sdt=0,5 | 5 | 2,020 |
A Physics-Based Noise Formation Model for Extreme Low-Light Raw Denoising | 126 | cvpr | 57 | 13 | 2023-06-03 02:44:41.360000 | https://github.com/Vandermode/NoiseModel | 389 | A physics-based noise formation model for extreme low-light raw denoising | https://scholar.google.com/scholar?cluster=10876763221187077280&hl=en&as_sdt=0,22 | 13 | 2,020 |
ManiGAN: Text-Guided Image Manipulation | 194 | cvpr | 24 | 14 | 2023-06-03 02:44:41.561000 | https://github.com/mrlibw/ManiGAN | 140 | Manigan: Text-guided image manipulation | https://scholar.google.com/scholar?cluster=17129748820213352788&hl=en&as_sdt=0,5 | 6 | 2,020 |
Putting Visual Object Recognition in Context | 36 | cvpr | 4 | 0 | 2023-06-03 02:44:41.762000 | https://github.com/kreimanlab/Put-In-Context | 16 | Putting visual object recognition in context | https://scholar.google.com/scholar?cluster=6207193649298787857&hl=en&as_sdt=0,21 | 4 | 2,020 |
Learning a Reinforced Agent for Flexible Exposure Bracketing Selection | 13 | cvpr | 2 | 2 | 2023-06-03 02:44:41.964000 | https://github.com/wzhouxiff/EBSNetMEFNet | 12 | Learning a reinforced agent for flexible exposure bracketing selection | https://scholar.google.com/scholar?cluster=10473923077690252281&hl=en&as_sdt=0,36 | 1 | 2,020 |
Multi-Path Learning for Object Pose Estimation Across Domains | 68 | cvpr | 92 | 2 | 2023-06-03 02:44:42.166000 | https://github.com/DLR-RM/AugmentedAutoencoder | 315 | Multi-path learning for object pose estimation across domains | https://scholar.google.com/scholar?cluster=291620479892302465&hl=en&as_sdt=0,44 | 15 | 2,020 |
Focus on Defocus: Bridging the Synthetic to Real Domain Gap for Depth Estimation | 46 | cvpr | 5 | 7 | 2023-06-03 02:44:42.367000 | https://github.com/dvl-tum/defocus-net | 57 | Focus on defocus: bridging the synthetic to real domain gap for depth estimation | https://scholar.google.com/scholar?cluster=6765952716872104702&hl=en&as_sdt=0,5 | 5 | 2,020 |
Detecting Attended Visual Targets in Video | 61 | cvpr | 40 | 8 | 2023-06-03 02:44:42.568000 | https://github.com/ejcgt/attention-target-detection | 132 | Detecting attended visual targets in video | https://scholar.google.com/scholar?cluster=16308519208891875188&hl=en&as_sdt=0,33 | 17 | 2,020 |
Instance Credibility Inference for Few-Shot Learning | 135 | cvpr | 23 | 0 | 2023-06-03 02:44:42.768000 | https://github.com/Yikai-Wang/ICI-FSL | 79 | Instance credibility inference for few-shot learning | https://scholar.google.com/scholar?cluster=10869277062815166118&hl=en&as_sdt=0,14 | 5 | 2,020 |
Defending Against Universal Attacks Through Selective Feature Regeneration | 26 | cvpr | 2 | 0 | 2023-06-03 02:44:42.970000 | https://github.com/tsborkar/Selective-feature-regeneration | 7 | Defending against universal attacks through selective feature regeneration | https://scholar.google.com/scholar?cluster=13715224286626519534&hl=en&as_sdt=0,33 | 3 | 2,020 |
GeoDA: A Geometric Framework for Black-Box Adversarial Attacks | 67 | cvpr | 5 | 5 | 2023-06-03 02:44:43.170000 | https://github.com/thisisalirah/GeoDA | 29 | Geoda: a geometric framework for black-box adversarial attacks | https://scholar.google.com/scholar?cluster=11847537038453915350&hl=en&as_sdt=0,14 | 3 | 2,020 |
Semantically Multi-Modal Image Synthesis | 67 | cvpr | 52 | 12 | 2023-06-03 02:44:43.372000 | https://github.com/Seanseattle/SMIS | 316 | Semantically multi-modal image synthesis | https://scholar.google.com/scholar?cluster=8730739568243330540&hl=en&as_sdt=0,5 | 25 | 2,020 |
Detail-recovery Image Deraining via Context Aggregation Networks | 136 | cvpr | 7 | 9 | 2023-06-03 02:44:43.578000 | https://github.com/Dengsgithub/DRD-Net | 53 | Detail-recovery image deraining via context aggregation networks | https://scholar.google.com/scholar?cluster=8325357835629249582&hl=en&as_sdt=0,33 | 4 | 2,020 |
DUNIT: Detection-Based Unsupervised Image-to-Image Translation | 55 | cvpr | 2 | 6 | 2023-06-03 02:44:43.779000 | https://github.com/IVRL/DUNIT | 24 | Dunit: Detection-based unsupervised image-to-image translation | https://scholar.google.com/scholar?cluster=8258186601059420692&hl=en&as_sdt=0,5 | 1 | 2,020 |
Dynamic Refinement Network for Oriented and Densely Packed Object Detection | 188 | cvpr | 42 | 16 | 2023-06-03 02:44:43.981000 | https://github.com/Anymake/DRN_CVPR2020 | 311 | Dynamic refinement network for oriented and densely packed object detection | https://scholar.google.com/scholar?cluster=7225349818402414566&hl=en&as_sdt=0,5 | 27 | 2,020 |
Enhancing Intrinsic Adversarial Robustness via Feature Pyramid Decoder | 16 | cvpr | 4 | 1 | 2023-06-03 02:44:44.193000 | https://github.com/GuanlinLee/FPD-for-Adversarial-Robustness | 11 | Enhancing intrinsic adversarial robustness via feature pyramid decoder | https://scholar.google.com/scholar?cluster=16436897262784217662&hl=en&as_sdt=0,5 | 3 | 2,020 |
Two-Shot Spatially-Varying BRDF and Shape Estimation | 52 | cvpr | 11 | 5 | 2023-06-03 02:44:44.394000 | https://github.com/NVlabs/two-shot-brdf-shape | 65 | Two-shot spatially-varying brdf and shape estimation | https://scholar.google.com/scholar?cluster=7142289612345703062&hl=en&as_sdt=0,5 | 10 | 2,020 |
High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification | 286 | cvpr | 40 | 4 | 2023-06-03 02:44:44.596000 | https://github.com/wangguanan/HOReID | 191 | High-order information matters: Learning relation and topology for occluded person re-identification | https://scholar.google.com/scholar?cluster=16210404718674640994&hl=en&as_sdt=0,14 | 10 | 2,020 |
Predicting Sharp and Accurate Occlusion Boundaries in Monocular Depth Estimation Using Displacement Fields | 49 | cvpr | 8 | 2 | 2023-06-03 02:44:44.797000 | https://github.com/dulucas/Displacement_Field | 109 | Predicting sharp and accurate occlusion boundaries in monocular depth estimation using displacement fields | https://scholar.google.com/scholar?cluster=10196939260877666789&hl=en&as_sdt=0,44 | 5 | 2,020 |
Self-Supervised Monocular Scene Flow Estimation | 82 | cvpr | 47 | 1 | 2023-06-03 02:44:45.007000 | https://github.com/visinf/self-mono-sf | 228 | Self-supervised monocular scene flow estimation | https://scholar.google.com/scholar?cluster=3323438378050011990&hl=en&as_sdt=0,5 | 13 | 2,020 |
End-to-End Optimization of Scene Layout | 34 | cvpr | 7 | 0 | 2023-06-03 02:44:45.210000 | https://github.com/aluo-x/3D_SLN | 44 | End-to-end optimization of scene layout | https://scholar.google.com/scholar?cluster=4350577753643452386&hl=en&as_sdt=0,14 | 6 | 2,020 |
End-to-End Model-Free Reinforcement Learning for Urban Driving Using Implicit Affordances | 114 | cvpr | 14 | 0 | 2023-06-03 02:44:45.410000 | https://github.com/valeoai/LearningByCheating | 49 | End-to-end model-free reinforcement learning for urban driving using implicit affordances | https://scholar.google.com/scholar?cluster=11829769000091826320&hl=en&as_sdt=0,33 | 1 | 2,020 |
Action Modifiers: Learning From Adverbs in Instructional Videos | 19 | cvpr | 1 | 1 | 2023-06-03 02:44:45.611000 | https://github.com/hazeld/action-modifiers | 21 | Action modifiers: Learning from adverbs in instructional videos | https://scholar.google.com/scholar?cluster=11599934655228160130&hl=en&as_sdt=0,5 | 4 | 2,020 |
Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement | 728 | cvpr | 162 | 40 | 2023-06-03 02:44:45.813000 | https://github.com/Li-Chongyi/Zero-DCE | 584 | Zero-reference deep curve estimation for low-light image enhancement | https://scholar.google.com/scholar?cluster=8238952017907762802&hl=en&as_sdt=0,5 | 19 | 2,020 |
Uncertainty Based Camera Model Selection | 6 | cvpr | 4 | 0 | 2023-06-03 02:44:46.017000 | https://github.com/michalpolic/unc_model_selection | 10 | Uncertainty based camera model selection | https://scholar.google.com/scholar?cluster=6850727292805615179&hl=en&as_sdt=0,5 | 3 | 2,020 |
What Deep CNNs Benefit From Global Covariance Pooling: An Optimization Perspective | 13 | cvpr | 7 | 0 | 2023-06-03 02:44:46.219000 | https://github.com/ZhangLi-CS/GCP_Optimization | 27 | What deep CNNs benefit from global covariance pooling: An optimization perspective | https://scholar.google.com/scholar?cluster=4827649605982928590&hl=en&as_sdt=0,5 | 4 | 2,020 |
FPConv: Learning Local Flattening for Point Convolution | 118 | cvpr | 16 | 5 | 2023-06-03 02:44:46.420000 | https://github.com/lyqun/FPConv | 131 | Fpconv: Learning local flattening for point convolution | https://scholar.google.com/scholar?cluster=2514080387916985290&hl=en&as_sdt=0,33 | 8 | 2,020 |
Learning a Neural 3D Texture Space From 2D Exemplars | 64 | cvpr | 21 | 8 | 2023-06-03 02:44:46.621000 | https://github.com/henzler/neuraltexture | 99 | Learning a neural 3d texture space from 2d exemplars | https://scholar.google.com/scholar?cluster=15356935227776957169&hl=en&as_sdt=0,5 | 6 | 2,020 |
View-GCN: View-Based Graph Convolutional Network for 3D Shape Analysis | 163 | cvpr | 12 | 6 | 2023-06-03 02:44:46.822000 | https://github.com/weixmath/view-GCN | 55 | View-gcn: View-based graph convolutional network for 3d shape analysis | https://scholar.google.com/scholar?cluster=10326802092363152455&hl=en&as_sdt=0,23 | 4 | 2,020 |
Structure-Preserving Super Resolution With Gradient Guidance | 249 | cvpr | 83 | 4 | 2023-06-03 02:44:47.023000 | https://github.com/Maclory/SPSR | 414 | Structure-preserving super resolution with gradient guidance | https://scholar.google.com/scholar?cluster=17985509801212582192&hl=en&as_sdt=0,5 | 12 | 2,020 |
Universal Weighting Metric Learning for Cross-Modal Matching | 70 | cvpr | 6 | 2 | 2023-06-03 02:44:47.223000 | https://github.com/wayne980/PolyLoss | 19 | Universal weighting metric learning for cross-modal matching | https://scholar.google.com/scholar?cluster=4046794674216561893&hl=en&as_sdt=0,5 | 3 | 2,020 |
Footprints and Free Space From a Single Color Image | 17 | cvpr | 23 | 3 | 2023-06-03 02:44:47.425000 | https://github.com/nianticlabs/footprints | 210 | Footprints and free space from a single color image | https://scholar.google.com/scholar?cluster=16295345840538214342&hl=en&as_sdt=0,33 | 32 | 2,020 |
Neural Contours: Learning to Draw Lines From 3D Shapes | 25 | cvpr | 13 | 0 | 2023-06-03 02:44:47.626000 | https://github.com/DifanLiu/NeuralContours | 96 | Neural contours: Learning to draw lines from 3d shapes | https://scholar.google.com/scholar?cluster=7830236461158719219&hl=en&as_sdt=0,33 | 6 | 2,020 |
Towards Efficient Model Compression via Learned Global Ranking | 147 | cvpr | 13 | 2 | 2023-06-03 02:44:47.826000 | https://github.com/cmu-enyac/LeGR | 107 | Towards efficient model compression via learned global ranking | https://scholar.google.com/scholar?cluster=8264517854632465016&hl=en&as_sdt=0,5 | 8 | 2,020 |
An Efficient PointLSTM for Point Clouds Based Gesture Recognition | 74 | cvpr | 19 | 12 | 2023-06-03 02:44:48.027000 | https://github.com/Blueprintf/pointlstm-gesture-recognition-pytorch | 106 | An efficient pointlstm for point clouds based gesture recognition | https://scholar.google.com/scholar?cluster=12824072546514812552&hl=en&as_sdt=0,33 | 2 | 2,020 |
Learning From Synthetic Animals | 80 | cvpr | 13 | 1 | 2023-06-03 02:44:48.228000 | https://github.com/JitengMu/Learning-from-Synthetic-Animals | 59 | Learning from synthetic animals | https://scholar.google.com/scholar?cluster=16170292280887164654&hl=en&as_sdt=0,44 | 2 | 2,020 |
Learning Multiview 3D Point Cloud Registration | 139 | cvpr | 54 | 13 | 2023-06-03 02:44:48.430000 | https://github.com/zgojcic/3D_multiview_reg | 301 | Learning multiview 3d point cloud registration | https://scholar.google.com/scholar?cluster=5261058929771499202&hl=en&as_sdt=0,5 | 31 | 2,020 |
SCOUT: Self-Aware Discriminant Counterfactual Explanations | 53 | cvpr | 5 | 1 | 2023-06-03 02:44:48.631000 | https://github.com/peiwang062/SCOUT | 9 | Scout: Self-aware discriminant counterfactual explanations | https://scholar.google.com/scholar?cluster=2584618861112081961&hl=en&as_sdt=0,10 | 2 | 2,020 |
3D Part Guided Image Editing for Fine-Grained Object Understanding | 11 | cvpr | 8 | 2 | 2023-06-03 02:44:48.832000 | https://github.com/zongdai/EditingForDNN | 19 | 3D part guided image editing for fine-grained object understanding | https://scholar.google.com/scholar?cluster=10936023318017521668&hl=en&as_sdt=0,23 | 6 | 2,020 |
Phase Consistent Ecological Domain Adaptation | 84 | cvpr | 4 | 2 | 2023-06-03 02:44:49.033000 | https://github.com/donglao/PCEDA | 32 | Phase consistent ecological domain adaptation | https://scholar.google.com/scholar?cluster=17332305502361880280&hl=en&as_sdt=0,23 | 8 | 2,020 |
EPOS: Estimating 6D Pose of Objects With Symmetries | 166 | cvpr | 11 | 2 | 2023-06-03 02:44:49.234000 | https://github.com/thodan/epos | 66 | Epos: Estimating 6d pose of objects with symmetries | https://scholar.google.com/scholar?cluster=17403580001604201560&hl=en&as_sdt=0,18 | 9 | 2,020 |
Single-Side Domain Generalization for Face Anti-Spoofing | 148 | cvpr | 33 | 14 | 2023-06-03 02:44:49.436000 | https://github.com/taylover-pei/SSDG-CVPR2020 | 193 | Single-side domain generalization for face anti-spoofing | https://scholar.google.com/scholar?cluster=16640075466988190139&hl=en&as_sdt=0,48 | 2 | 2,020 |
Optical Non-Line-of-Sight Physics-Based 3D Human Pose Estimation | 49 | cvpr | 5 | 2 | 2023-06-03 02:44:49.637000 | https://github.com/marikoisogawa/OpticalNLOSPose | 14 | Optical non-line-of-sight physics-based 3d human pose estimation | https://scholar.google.com/scholar?cluster=806070811754323447&hl=en&as_sdt=0,31 | 1 | 2,020 |
IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning | 30 | cvpr | 21 | 4 | 2023-06-03 02:44:49.838000 | https://github.com/intra3d2019/IntrA | 112 | Intra: 3d intracranial aneurysm dataset for deep learning | https://scholar.google.com/scholar?cluster=8654024479108162705&hl=en&as_sdt=0,5 | 6 | 2,020 |
Future Video Synthesis With Object Motion Prediction | 77 | cvpr | 4 | 0 | 2023-06-03 02:44:50.039000 | https://github.com/YueWuHKUST/FutureVideoSynthesis | 48 | Future video synthesis with object motion prediction | https://scholar.google.com/scholar?cluster=14647851897458086191&hl=en&as_sdt=0,44 | 1 | 2,020 |
X3D: Expanding Architectures for Efficient Video Recognition | 624 | cvpr | 1,143 | 348 | 2023-06-03 02:44:50.241000 | https://github.com/facebookresearch/SlowFast | 5,685 | X3d: Expanding architectures for efficient video recognition | https://scholar.google.com/scholar?cluster=5426206565542427464&hl=en&as_sdt=0,5 | 97 | 2,020 |
Unsupervised Intra-Domain Adaptation for Semantic Segmentation Through Self-Supervision | 300 | cvpr | 34 | 1 | 2023-06-03 02:44:50.443000 | https://github.com/feipan664/IntraDA | 261 | Unsupervised intra-domain adaptation for semantic segmentation through self-supervision | https://scholar.google.com/scholar?cluster=12195211217185550534&hl=en&as_sdt=0,33 | 3 | 2,020 |
Collaborative Motion Prediction via Neural Motion Message Passing | 58 | cvpr | 14 | 2 | 2023-06-03 02:44:50.644000 | https://github.com/PhyllisH/NMMP | 91 | Collaborative motion prediction via neural motion message passing | https://scholar.google.com/scholar?cluster=12178755193012890116&hl=en&as_sdt=0,33 | 6 | 2,020 |
End-to-End Learnable Geometric Vision by Backpropagating PnP Optimization | 68 | cvpr | 31 | 3 | 2023-06-03 02:44:50.845000 | https://github.com/BoChenYS/BPnP | 276 | End-to-end learnable geometric vision by backpropagating pnp optimization | https://scholar.google.com/scholar?cluster=8507990282725391495&hl=en&as_sdt=0,33 | 14 | 2,020 |
Exploring Spatial-Temporal Multi-Frequency Analysis for High-Fidelity and Temporal-Consistency Video Prediction | 68 | cvpr | 2 | 9 | 2023-06-03 02:44:51.046000 | https://github.com/Bei-Jin/STMFANet | 32 | Exploring spatial-temporal multi-frequency analysis for high-fidelity and temporal-consistency video prediction | https://scholar.google.com/scholar?cluster=6502524212340839240&hl=en&as_sdt=0,31 | 3 | 2,020 |
Learning Texture Transformer Network for Image Super-Resolution | 537 | cvpr | 116 | 2 | 2023-06-03 02:44:51.248000 | https://github.com/researchmm/TTSR | 716 | Learning texture transformer network for image super-resolution | https://scholar.google.com/scholar?cluster=10878914222672812804&hl=en&as_sdt=0,15 | 13 | 2,020 |
PhraseCut: Language-Based Image Segmentation in the Wild | 37 | cvpr | 9 | 0 | 2023-06-03 02:44:51.449000 | https://github.com/ChenyunWu/PhraseCutDataset | 75 | Phrasecut: Language-based image segmentation in the wild | https://scholar.google.com/scholar?cluster=5180455052566322504&hl=en&as_sdt=0,10 | 7 | 2,020 |
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud | 501 | cvpr | 108 | 44 | 2023-06-03 02:44:51.650000 | https://github.com/WeijingShi/Point-GNN | 465 | Point-gnn: Graph neural network for 3d object detection in a point cloud | https://scholar.google.com/scholar?cluster=3987152815255001944&hl=en&as_sdt=0,5 | 21 | 2,020 |
Distribution-Induced Bidirectional Generative Adversarial Network for Graph Representation Learning | 28 | cvpr | 0 | 1 | 2023-06-03 02:44:51.852000 | https://github.com/SsGood/DBGAN | 20 | Distribution-induced bidirectional generative adversarial network for graph representation learning | https://scholar.google.com/scholar?cluster=16746058838823538205&hl=en&as_sdt=0,5 | 2 | 2,020 |
How Much Time Do You Have? Modeling Multi-Duration Saliency | 27 | cvpr | 2 | 1 | 2023-06-03 02:44:52.053000 | https://github.com/diviz-mit/multiduration-saliency | 10 | How much time do you have? modeling multi-duration saliency | https://scholar.google.com/scholar?cluster=5437020792139861684&hl=en&as_sdt=0,5 | 4 | 2,020 |
PFCNN: Convolutional Neural Networks on 3D Surfaces Using Parallel Frames | 56 | cvpr | 6 | 5 | 2023-06-03 02:44:52.254000 | https://github.com/msraig/pfcnn | 18 | PFCNN: Convolutional neural networks on 3D surfaces using parallel frames | https://scholar.google.com/scholar?cluster=12608300723111883888&hl=en&as_sdt=0,5 | 5 | 2,020 |
Google Landmarks Dataset v2 - A Large-Scale Benchmark for Instance-Level Recognition and Retrieval | 202 | cvpr | 126 | 6 | 2023-06-03 02:44:52.455000 | https://github.com/cvdfoundation/google-landmark | 624 | Google landmarks dataset v2-a large-scale benchmark for instance-level recognition and retrieval | https://scholar.google.com/scholar?cluster=1649178492675700021&hl=en&as_sdt=0,31 | 27 | 2,020 |
Deformable Siamese Attention Networks for Visual Object Tracking | 271 | cvpr | 7 | 7 | 2023-06-03 02:44:52.656000 | https://github.com/msight-tech/research-siamattn | 37 | Deformable siamese attention networks for visual object tracking | https://scholar.google.com/scholar?cluster=1847198933733803218&hl=en&as_sdt=0,5 | 4 | 2,020 |
Lightweight Photometric Stereo for Facial Details Recovery | 22 | cvpr | 33 | 2 | 2023-06-03 02:44:52.857000 | https://github.com/Juyong/FacePSNet | 172 | Lightweight photometric stereo for facial details recovery | https://scholar.google.com/scholar?cluster=10672163415987577860&hl=en&as_sdt=0,39 | 14 | 2,020 |
Learning Video Object Segmentation From Unlabeled Videos | 123 | cvpr | 12 | 4 | 2023-06-03 02:44:53.059000 | https://github.com/carrierlxk/MuG | 95 | Learning video object segmentation from unlabeled videos | https://scholar.google.com/scholar?cluster=16543814832290560057&hl=en&as_sdt=0,5 | 15 | 2,020 |
Pose-Guided Visible Part Matching for Occluded Person ReID | 150 | cvpr | 26 | 9 | 2023-06-03 02:44:53.260000 | https://github.com/hh23333/PVPM | 108 | Pose-guided visible part matching for occluded person ReID | https://scholar.google.com/scholar?cluster=4053237082736280023&hl=en&as_sdt=0,41 | 6 | 2,020 |
SAL: Sign Agnostic Learning of Shapes From Raw Data | 322 | cvpr | 8 | 2 | 2023-06-03 02:44:53.462000 | https://github.com/matanatz/SAL | 85 | Sal: Sign agnostic learning of shapes from raw data | https://scholar.google.com/scholar?cluster=14565706118773980850&hl=en&as_sdt=0,33 | 4 | 2,020 |
ScopeFlow: Dynamic Scene Scoping for Optical Flow | 48 | cvpr | 9 | 12 | 2023-06-03 02:44:53.663000 | https://github.com/avirambh/ScopeFlow | 92 | Scopeflow: Dynamic scene scoping for optical flow | https://scholar.google.com/scholar?cluster=6785305377119480402&hl=en&as_sdt=0,5 | 7 | 2,020 |
Probabilistic Pixel-Adaptive Refinement Networks | 19 | cvpr | 8 | 0 | 2023-06-03 02:44:53.866000 | https://github.com/visinf/ppac_refinement | 76 | Probabilistic pixel-adaptive refinement networks | https://scholar.google.com/scholar?cluster=9018436345334389789&hl=en&as_sdt=0,7 | 5 | 2,020 |
WCP: Worst-Case Perturbations for Semi-Supervised Deep Learning | 38 | cvpr | 5 | 2 | 2023-06-03 02:44:54.067000 | https://github.com/maple-research-lab/WCP | 20 | Wcp: Worst-case perturbations for semi-supervised deep learning | https://scholar.google.com/scholar?cluster=3920590861770050206&hl=en&as_sdt=0,5 | 6 | 2,020 |
Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction | 461 | cvpr | 130 | 3 | 2023-06-03 02:44:54.268000 | https://github.com/abduallahmohamed/Social-STGCNN | 395 | Social-stgcnn: A social spatio-temporal graph convolutional neural network for human trajectory prediction | https://scholar.google.com/scholar?cluster=15501716893108943391&hl=en&as_sdt=0,48 | 14 | 2,020 |
Filter Grafting for Deep Neural Networks | 39 | cvpr | 4 | 0 | 2023-06-03 02:44:54.469000 | https://github.com/TencentYoutuResearch/Ensemble-Grafting | 13 | Filter grafting for deep neural networks | https://scholar.google.com/scholar?cluster=1970916840131715062&hl=en&as_sdt=0,5 | 3 | 2,020 |
Unsupervised Learning of Probably Symmetric Deformable 3D Objects From Images in the Wild | 237 | cvpr | 192 | 21 | 2023-06-03 02:44:54.670000 | https://github.com/elliottwu/unsup3d | 1,151 | Unsupervised learning of probably symmetric deformable 3d objects from images in the wild | https://scholar.google.com/scholar?cluster=12180649884525084861&hl=en&as_sdt=0,5 | 34 | 2,020 |
Referring Image Segmentation via Cross-Modal Progressive Comprehension | 92 | cvpr | 17 | 5 | 2023-06-03 02:44:54.871000 | https://github.com/spyflying/CMPC-Refseg | 58 | Referring image segmentation via cross-modal progressive comprehension | https://scholar.google.com/scholar?cluster=9048652189395362675&hl=en&as_sdt=0,10 | 6 | 2,020 |
SAPIEN: A SimulAted Part-Based Interactive ENvironment | 231 | cvpr | 25 | 14 | 2023-06-03 02:44:55.072000 | https://github.com/haosulab/SAPIEN-Release | 223 | Sapien: A simulated part-based interactive environment | https://scholar.google.com/scholar?cluster=12972187517195741238&hl=en&as_sdt=0,11 | 12 | 2,020 |
STAViS: Spatio-Temporal AudioVisual Saliency Network | 51 | cvpr | 7 | 2 | 2023-06-03 02:44:55.273000 | https://github.com/atsiami/STAViS | 36 | Stavis: Spatio-temporal audiovisual saliency network | https://scholar.google.com/scholar?cluster=12986130942954530236&hl=en&as_sdt=0,33 | 4 | 2,020 |
PointASNL: Robust Point Clouds Processing Using Nonlocal Neural Networks With Adaptive Sampling | 381 | cvpr | 31 | 17 | 2023-06-03 02:44:55.474000 | https://github.com/yanx27/PointASNL | 232 | Pointasnl: Robust point clouds processing using nonlocal neural networks with adaptive sampling | https://scholar.google.com/scholar?cluster=12635046361182606238&hl=en&as_sdt=0,33 | 10 | 2,020 |
Block-Wisely Supervised Neural Architecture Search With Knowledge Distillation | 161 | cvpr | 36 | 4 | 2023-06-03 02:44:55.676000 | https://github.com/changlin31/DNA | 221 | Block-wisely supervised neural architecture search with knowledge distillation | https://scholar.google.com/scholar?cluster=17578858583799080531&hl=en&as_sdt=0,5 | 13 | 2,020 |
Unsupervised Learning of Intrinsic Structural Representation Points | 42 | cvpr | 15 | 8 | 2023-06-03 02:44:55.877000 | https://github.com/NolenChen/3DStructurePoints | 71 | Unsupervised learning of intrinsic structural representation points | https://scholar.google.com/scholar?cluster=15273418012728728856&hl=en&as_sdt=0,15 | 7 | 2,020 |
Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision | 45 | cvpr | 6 | 0 | 2023-06-03 02:44:56.090000 | https://github.com/gudovskiy/al-fk-self-supervision | 29 | Deep active learning for biased datasets via fisher kernel self-supervision | https://scholar.google.com/scholar?cluster=3968455994372368436&hl=en&as_sdt=0,44 | 2 | 2,020 |
PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection | 1,094 | cvpr | 1,116 | 48 | 2023-06-03 02:44:56.292000 | https://github.com/open-mmlab/OpenPCDet | 3,624 | Pv-rcnn: Point-voxel feature set abstraction for 3d object detection | https://scholar.google.com/scholar?cluster=7760022802456783234&hl=en&as_sdt=0,44 | 73 | 2,020 |
DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes | 70 | cvpr | 15 | 6 | 2023-06-03 02:44:56.493000 | https://github.com/VisualComputingInstitute/dcm-net | 106 | Dualconvmesh-net: Joint geodesic and euclidean convolutions on 3d meshes | https://scholar.google.com/scholar?cluster=603126275204072750&hl=en&as_sdt=0,33 | 11 | 2,020 |
An Investigation Into the Stochasticity of Batch Whitening | 21 | cvpr | 1 | 0 | 2023-06-03 02:44:56.694000 | https://github.com/huangleiBuaa/StochasticityBW | 8 | An investigation into the stochasticity of batch whitening | https://scholar.google.com/scholar?cluster=10161807881020630814&hl=en&as_sdt=0,44 | 6 | 2,020 |
VIBE: Video Inference for Human Body Pose and Shape Estimation | 628 | cvpr | 525 | 115 | 2023-06-03 02:44:56.895000 | https://github.com/mkocabas/VIBE | 2,614 | Vibe: Video inference for human body pose and shape estimation | https://scholar.google.com/scholar?cluster=17176071884903916917&hl=en&as_sdt=0,32 | 67 | 2,020 |
Graph-Structured Referring Expression Reasoning in the Wild | 54 | cvpr | 15 | 10 | 2023-06-03 02:44:57.097000 | https://github.com/sibeiyang/sgmn | 114 | Graph-structured referring expression reasoning in the wild | https://scholar.google.com/scholar?cluster=17681710446145407741&hl=en&as_sdt=0,47 | 9 | 2,020 |
Feature-Metric Registration: A Fast Semi-Supervised Approach for Robust Point Cloud Registration Without Correspondences | 142 | cvpr | 15 | 7 | 2023-06-03 02:44:57.298000 | https://github.com/XiaoshuiHuang/fmr | 115 | Feature-metric registration: A fast semi-supervised approach for robust point cloud registration without correspondences | https://scholar.google.com/scholar?cluster=10259529966293747361&hl=en&as_sdt=0,5 | 6 | 2,020 |
The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction | 119 | cvpr | 62 | 1 | 2023-06-03 02:44:57.499000 | https://github.com/JunweiLiang/Multiverse | 227 | The garden of forking paths: Towards multi-future trajectory prediction | https://scholar.google.com/scholar?cluster=5055296385060977989&hl=en&as_sdt=0,5 | 10 | 2,020 |
Subsets and Splits