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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 |
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