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|---|---|---|---|---|---|---|---|---|---|---|---|
Defending Against Adversarial Attacks by Randomized Diversification
| 34
|
cvpr
| 5
| 1
|
2023-06-03 02:18:41.265000
|
https://github.com/taranO/defending-adversarial-attacks-by-RD
| 10
|
Defending against adversarial attacks by randomized diversification
|
https://scholar.google.com/scholar?cluster=10013247887032866983&hl=en&as_sdt=0,23
| 3
| 2,019
|
Learning to Sample
| 694
|
cvpr
| 20
| 0
|
2023-06-03 02:18:41.464000
|
https://github.com/orendv/learning_to_sample
| 161
|
Learning about learning
|
https://scholar.google.com/scholar?cluster=4684783748672510811&hl=en&as_sdt=0,10
| 5
| 2,019
|
Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration
| 167
|
cvpr
| 25
| 1
|
2023-06-03 02:18:41.665000
|
https://github.com/liu-vis/DualResidualNetworks
| 146
|
Dual residual networks leveraging the potential of paired operations for image restoration
|
https://scholar.google.com/scholar?cluster=15061267745225364999&hl=en&as_sdt=0,47
| 8
| 2,019
|
Probabilistic End-To-End Noise Correction for Learning With Noisy Labels
| 338
|
cvpr
| 19
| 8
|
2023-06-03 02:18:41.866000
|
https://github.com/yikun2019/PENCIL
| 135
|
Probabilistic end-to-end noise correction for learning with noisy labels
|
https://scholar.google.com/scholar?cluster=5695947996345321960&hl=en&as_sdt=0,33
| 4
| 2,019
|
Towards Optimal Structured CNN Pruning via Generative Adversarial Learning
| 457
|
cvpr
| 16
| 5
|
2023-06-03 02:18:42.067000
|
https://github.com/ShaohuiLin/GAL
| 55
|
Towards optimal structured cnn pruning via generative adversarial learning
|
https://scholar.google.com/scholar?cluster=15336900714703245928&hl=en&as_sdt=0,37
| 5
| 2,019
|
Importance Estimation for Neural Network Pruning
| 616
|
cvpr
| 67
| 6
|
2023-06-03 02:18:42.266000
|
https://github.com/NVlabs/Taylor_pruning
| 277
|
Importance estimation for neural network pruning
|
https://scholar.google.com/scholar?cluster=11394834411572433707&hl=en&as_sdt=0,33
| 17
| 2,019
|
Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression
| 125
|
cvpr
| 20
| 6
|
2023-06-03 02:18:42.467000
|
https://github.com/yuchaoli/KSE
| 44
|
Exploiting kernel sparsity and entropy for interpretable CNN compression
|
https://scholar.google.com/scholar?cluster=6803569899494633158&hl=en&as_sdt=0,11
| 4
| 2,019
|
MnasNet: Platform-Aware Neural Architecture Search for Mobile
| 2,650
|
cvpr
| 1,788
| 293
|
2023-06-03 02:18:42.668000
|
https://github.com/tensorflow/tpu
| 5,123
|
Mnasnet: Platform-aware neural architecture search for mobile
|
https://scholar.google.com/scholar?cluster=1725364759924402840&hl=en&as_sdt=0,5
| 371
| 2,019
|
PPGNet: Learning Point-Pair Graph for Line Segment Detection
| 69
|
cvpr
| 35
| 12
|
2023-06-03 02:18:42.868000
|
https://github.com/svip-lab/PPGNet
| 171
|
Ppgnet: Learning point-pair graph for line segment detection
|
https://scholar.google.com/scholar?cluster=11647354298146206932&hl=en&as_sdt=0,18
| 13
| 2,019
|
AIRD: Adversarial Learning Framework for Image Repurposing Detection
| 17
|
cvpr
| 0
| 0
|
2023-06-03 02:18:43.068000
|
https://github.com/isi-vista/AIRD-Datasets
| 7
|
Aird: Adversarial learning framework for image repurposing detection
|
https://scholar.google.com/scholar?cluster=16794184916238918283&hl=en&as_sdt=0,21
| 6
| 2,019
|
A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations
| 32
|
cvpr
| 1
| 0
|
2023-06-03 02:18:43.269000
|
https://github.com/asgsaeid/KernelizedManifoldMapping
| 3
|
A kernelized manifold mapping to diminish the effect of adversarial perturbations
|
https://scholar.google.com/scholar?cluster=15831432352909732709&hl=en&as_sdt=0,38
| 4
| 2,019
|
Trust Region Based Adversarial Attack on Neural Networks
| 55
|
cvpr
| 5
| 3
|
2023-06-03 02:18:43.470000
|
https://github.com/amirgholami/trattack
| 18
|
Trust region based adversarial attack on neural networks
|
https://scholar.google.com/scholar?cluster=14904648874198126567&hl=en&as_sdt=0,5
| 3
| 2,019
|
Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction
| 154
|
cvpr
| 8
| 2
|
2023-06-03 02:18:43.670000
|
https://github.com/lmb-freiburg/Multimodal-Future-Prediction
| 46
|
Overcoming limitations of mixture density networks: A sampling and fitting framework for multimodal future prediction
|
https://scholar.google.com/scholar?cluster=967422240947883765&hl=en&as_sdt=0,21
| 6
| 2,019
|
Model-Blind Video Denoising via Frame-To-Frame Training
| 75
|
cvpr
| 12
| 0
|
2023-06-03 02:18:43.870000
|
https://github.com/tehret/blind-denoising
| 40
|
Model-blind video denoising via frame-to-frame training
|
https://scholar.google.com/scholar?cluster=14973639611844679865&hl=en&as_sdt=0,33
| 6
| 2,019
|
Learning Metrics From Teachers: Compact Networks for Image Embedding
| 105
|
cvpr
| 15
| 0
|
2023-06-03 02:18:44.070000
|
https://github.com/yulu0724/EmbeddingDistillation
| 75
|
Learning metrics from teachers: Compact networks for image embedding
|
https://scholar.google.com/scholar?cluster=1501115334715421268&hl=en&as_sdt=0,43
| 2
| 2,019
|
PointNetLK: Robust & Efficient Point Cloud Registration Using PointNet
| 548
|
cvpr
| 90
| 14
|
2023-06-03 02:18:44.270000
|
https://github.com/hmgoforth/PointNetLK
| 388
|
Pointnetlk: Robust & efficient point cloud registration using pointnet
|
https://scholar.google.com/scholar?cluster=17451718299457291321&hl=en&as_sdt=0,33
| 13
| 2,019
|
Regularizing Activation Distribution for Training Binarized Deep Networks
| 109
|
cvpr
| 6
| 4
|
2023-06-03 02:18:44.470000
|
https://github.com/ruizhoud/DistributionLoss
| 29
|
Regularizing activation distribution for training binarized deep networks
|
https://scholar.google.com/scholar?cluster=11777713405317274160&hl=en&as_sdt=0,10
| 4
| 2,019
|
Additive Adversarial Learning for Unbiased Authentication
| 16
|
cvpr
| 1
| 3
|
2023-06-03 02:18:44.670000
|
https://github.com/langlrsw/AAL-unbiased-authentication
| 15
|
Additive adversarial learning for unbiased authentication
|
https://scholar.google.com/scholar?cluster=16746985292159239847&hl=en&as_sdt=0,5
| 4
| 2,019
|
Region Proposal by Guided Anchoring
| 564
|
cvpr
| 8,690
| 798
|
2023-06-03 02:18:44.870000
|
https://github.com/open-mmlab/mmdetection
| 24,397
|
Region proposal by guided anchoring
|
https://scholar.google.com/scholar?cluster=1265529334352106882&hl=en&as_sdt=0,5
| 372
| 2,019
|
Large-Scale Few-Shot Learning: Knowledge Transfer With Class Hierarchy
| 114
|
cvpr
| 3
| 0
|
2023-06-03 02:18:45.070000
|
https://github.com/tiangeluo/fsl-hierarchy
| 30
|
Large-scale few-shot learning: Knowledge transfer with class hierarchy
|
https://scholar.google.com/scholar?cluster=13016121814093526910&hl=en&as_sdt=0,10
| 1
| 2,019
|
All You Need Is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification
| 81
|
cvpr
| 4
| 1
|
2023-06-03 02:18:45.271000
|
https://github.com/hikvision-research/SparseShiftLayer
| 13
|
All you need is a few shifts: Designing efficient convolutional neural networks for image classification
|
https://scholar.google.com/scholar?cluster=2946826539064409447&hl=en&as_sdt=0,18
| 3
| 2,019
|
Towards Visual Feature Translation
| 15
|
cvpr
| 1
| 0
|
2023-06-03 02:18:45.471000
|
https://github.com/hujiecpp/VisualFeatureTranslation
| 22
|
Towards visual feature translation
|
https://scholar.google.com/scholar?cluster=7863218348376961763&hl=en&as_sdt=0,31
| 4
| 2,019
|
Rethinking Knowledge Graph Propagation for Zero-Shot Learning
| 298
|
cvpr
| 57
| 1
|
2023-06-03 02:18:45.672000
|
https://github.com/cyvius96/adgpm
| 308
|
Rethinking knowledge graph propagation for zero-shot learning
|
https://scholar.google.com/scholar?cluster=1266179195913592313&hl=en&as_sdt=0,10
| 11
| 2,019
|
Global Second-Order Pooling Convolutional Networks
| 285
|
cvpr
| 27
| 5
|
2023-06-03 02:18:45.872000
|
https://github.com/ZilinGao/Global-Second-order-Pooling-Convolutional-Networks
| 118
|
Global second-order pooling convolutional networks
|
https://scholar.google.com/scholar?cluster=10164378327622616568&hl=en&as_sdt=0,5
| 3
| 2,019
|
NetTailor: Tuning the Architecture, Not Just the Weights
| 27
|
cvpr
| 11
| 4
|
2023-06-03 02:18:46.102000
|
https://github.com/pedro-morgado/nettailor
| 50
|
Nettailor: Tuning the architecture, not just the weights
|
https://scholar.google.com/scholar?cluster=11402744282307001341&hl=en&as_sdt=0,39
| 4
| 2,019
|
Data-Driven Neuron Allocation for Scale Aggregation Networks
| 29
|
cvpr
| 6
| 3
|
2023-06-03 02:18:46.303000
|
https://github.com/Eli-YiLi/ScaleNet
| 52
|
Data-driven neuron allocation for scale aggregation networks
|
https://scholar.google.com/scholar?cluster=17356089364794181641&hl=en&as_sdt=0,5
| 2
| 2,019
|
Learning Unsupervised Video Object Segmentation Through Visual Attention
| 205
|
cvpr
| 34
| 2
|
2023-06-03 02:18:46.503000
|
https://github.com/wenguanwang/AGS
| 209
|
Learning unsupervised video object segmentation through visual attention
|
https://scholar.google.com/scholar?cluster=9207884552683066038&hl=en&as_sdt=0,5
| 4
| 2,019
|
Quantization Networks
| 249
|
cvpr
| 31
| 7
|
2023-06-03 02:18:46.703000
|
https://github.com/aliyun/alibabacloud-quantization-networks
| 111
|
Quantization networks
|
https://scholar.google.com/scholar?cluster=1471130295334849664&hl=en&as_sdt=0,33
| 12
| 2,019
|
4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks
| 1,028
|
cvpr
| 293
| 151
|
2023-06-03 02:18:46.903000
|
https://github.com/StanfordVL/MinkowskiEngine
| 1,989
|
4d spatio-temporal convnets: Minkowski convolutional neural networks
|
https://scholar.google.com/scholar?cluster=14826656072199783781&hl=en&as_sdt=0,14
| 40
| 2,019
|
Deep Transfer Learning for Multiple Class Novelty Detection
| 95
|
cvpr
| 2
| 0
|
2023-06-03 02:18:47.103000
|
https://github.com/PramuPerera/TransferLearningNovelty
| 21
|
Deep transfer learning for multiple class novelty detection
|
https://scholar.google.com/scholar?cluster=17769888134044652832&hl=en&as_sdt=0,33
| 3
| 2,019
|
Pyramid Feature Attention Network for Saliency Detection
| 566
|
cvpr
| 93
| 22
|
2023-06-03 02:18:47.303000
|
https://github.com/CaitinZhao/cvpr2019_Pyramid-Feature-Attention-Network-for-Saliency-detection
| 299
|
Pyramid feature attention network for saliency detection
|
https://scholar.google.com/scholar?cluster=10723156253527482274&hl=en&as_sdt=0,5
| 7
| 2,019
|
QATM: Quality-Aware Template Matching for Deep Learning
| 49
|
cvpr
| 33
| 6
|
2023-06-03 02:18:47.504000
|
https://github.com/cplusx/QATM
| 133
|
QATM: Quality-aware template matching for deep learning
|
https://scholar.google.com/scholar?cluster=16340394657434221909&hl=en&as_sdt=0,33
| 3
| 2,019
|
Learning Cross-Modal Embeddings With Adversarial Networks for Cooking Recipes and Food Images
| 113
|
cvpr
| 7
| 0
|
2023-06-03 02:18:47.704000
|
https://github.com/LARC-CMU-SMU/ACME
| 24
|
Learning cross-modal embeddings with adversarial networks for cooking recipes and food images
|
https://scholar.google.com/scholar?cluster=4792190748791935595&hl=en&as_sdt=0,43
| 8
| 2,019
|
Weakly Supervised Video Moment Retrieval From Text Queries
| 137
|
cvpr
| 9
| 2
|
2023-06-03 02:18:47.904000
|
https://github.com/niluthpol/weak_supervised_video_moment
| 42
|
Weakly supervised video moment retrieval from text queries
|
https://scholar.google.com/scholar?cluster=5317279962974333981&hl=en&as_sdt=0,18
| 4
| 2,019
|
Box-Driven Class-Wise Region Masking and Filling Rate Guided Loss for Weakly Supervised Semantic Segmentation
| 187
|
cvpr
| 1
| 0
|
2023-06-03 02:18:48.106000
|
https://github.com/developfeng/BCM
| 5
|
Box-driven class-wise region masking and filling rate guided loss for weakly supervised semantic segmentation
|
https://scholar.google.com/scholar?cluster=3721020246019694319&hl=en&as_sdt=0,33
| 1
| 2,019
|
Dual Attention Network for Scene Segmentation
| 4,286
|
cvpr
| 486
| 60
|
2023-06-03 02:18:48.306000
|
https://github.com/junfu1115/DANet
| 2,245
|
Dual attention network for scene segmentation
|
https://scholar.google.com/scholar?cluster=7464044873387137971&hl=en&as_sdt=0,5
| 36
| 2,019
|
InverseRenderNet: Learning Single Image Inverse Rendering
| 114
|
cvpr
| 22
| 5
|
2023-06-03 02:18:48.507000
|
https://github.com/YeeU/InverseRenderNet
| 147
|
Inverserendernet: Learning single image inverse rendering
|
https://scholar.google.com/scholar?cluster=15916518281958584722&hl=en&as_sdt=0,33
| 5
| 2,019
|
Leveraging the Invariant Side of Generative Zero-Shot Learning
| 270
|
cvpr
| 21
| 7
|
2023-06-03 02:18:48.707000
|
https://github.com/lijin118/LisGAN
| 68
|
Leveraging the invariant side of generative zero-shot learning
|
https://scholar.google.com/scholar?cluster=11098893954539769447&hl=en&as_sdt=0,5
| 4
| 2,019
|
A-CNN: Annularly Convolutional Neural Networks on Point Clouds
| 245
|
cvpr
| 15
| 5
|
2023-06-03 02:18:48.908000
|
https://github.com/artemkomarichev/a-cnn
| 45
|
A-cnn: Annularly convolutional neural networks on point clouds
|
https://scholar.google.com/scholar?cluster=7893535900133819945&hl=en&as_sdt=0,10
| 4
| 2,019
|
Local Features and Visual Words Emerge in Activations
| 59
|
cvpr
| 0
| 0
|
2023-06-03 02:18:49.108000
|
https://github.com/osimeoni/DSM
| 0
|
Local features and visual words emerge in activations
|
https://scholar.google.com/scholar?cluster=8007077270735204964&hl=en&as_sdt=0,33
| 0
| 2,019
|
NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction
| 186
|
cvpr
| 6
| 0
|
2023-06-03 02:18:49.309000
|
https://github.com/ethanygao/NDDR-CNN
| 51
|
Nddr-cnn: Layerwise feature fusing in multi-task cnns by neural discriminative dimensionality reduction
|
https://scholar.google.com/scholar?cluster=9969333786129871278&hl=en&as_sdt=0,33
| 4
| 2,019
|
Point Cloud Oversegmentation With Graph-Structured Deep Metric Learning
| 146
|
cvpr
| 211
| 59
|
2023-06-03 02:18:49.509000
|
https://github.com/loicland/superpoint_graph
| 682
|
Point cloud oversegmentation with graph-structured deep metric learning
|
https://scholar.google.com/scholar?cluster=1283486066827167731&hl=en&as_sdt=0,44
| 30
| 2,019
|
Graphonomy: Universal Human Parsing via Graph Transfer Learning
| 140
|
cvpr
| 60
| 12
|
2023-06-03 02:18:49.709000
|
https://github.com/Gaoyiminggithub/Graphonomy
| 257
|
Graphonomy: Universal human parsing via graph transfer learning
|
https://scholar.google.com/scholar?cluster=7535892148180299763&hl=en&as_sdt=0,5
| 11
| 2,019
|
A Late Fusion CNN for Digital Matting
| 118
|
cvpr
| 30
| 8
|
2023-06-03 02:18:49.910000
|
https://github.com/yunkezhang/FusionMatting
| 177
|
A late fusion cnn for digital matting
|
https://scholar.google.com/scholar?cluster=17877709160871365365&hl=en&as_sdt=0,22
| 11
| 2,019
|
BASNet: Boundary-Aware Salient Object Detection
| 999
|
cvpr
| 246
| 19
|
2023-06-03 02:18:50.110000
|
https://github.com/NathanUA/BASNet
| 1,278
|
Basnet: Boundary-aware salient object detection
|
https://scholar.google.com/scholar?cluster=16840207246500229949&hl=en&as_sdt=0,5
| 36
| 2,019
|
A Poisson-Gaussian Denoising Dataset With Real Fluorescence Microscopy Images
| 123
|
cvpr
| 10
| 2
|
2023-06-03 02:18:50.310000
|
https://github.com/bmmi/denoising-fluorescence
| 96
|
A poisson-gaussian denoising dataset with real fluorescence microscopy images
|
https://scholar.google.com/scholar?cluster=9197039696220908597&hl=en&as_sdt=0,33
| 6
| 2,019
|
HPLFlowNet: Hierarchical Permutohedral Lattice FlowNet for Scene Flow Estimation on Large-Scale Point Clouds
| 154
|
cvpr
| 8
| 1
|
2023-06-03 02:18:50.511000
|
https://github.com/laoreja/HPLFlowNet
| 92
|
Hplflownet: Hierarchical permutohedral lattice flownet for scene flow estimation on large-scale point clouds
|
https://scholar.google.com/scholar?cluster=8706139963298776453&hl=en&as_sdt=0,5
| 8
| 2,019
|
Object Instance Annotation With Deep Extreme Level Set Evolution
| 70
|
cvpr
| 7
| 2
|
2023-06-03 02:18:50.711000
|
https://github.com/fidler-lab/delse
| 66
|
Object instance annotation with deep extreme level set evolution
|
https://scholar.google.com/scholar?cluster=6230835967165176038&hl=en&as_sdt=0,44
| 7
| 2,019
|
Group-Wise Correlation Stereo Network
| 390
|
cvpr
| 57
| 11
|
2023-06-03 02:18:50.911000
|
https://github.com/xy-guo/GwcNet
| 284
|
Group-wise correlation stereo network
|
https://scholar.google.com/scholar?cluster=9104090749693468615&hl=en&as_sdt=0,5
| 15
| 2,019
|
Atlas of Digital Pathology: A Generalized Hierarchical Histological Tissue Type-Annotated Database for Deep Learning
| 44
|
cvpr
| 5
| 0
|
2023-06-03 02:18:51.112000
|
https://github.com/mahdihosseini/ADP
| 21
|
Atlas of digital pathology: A generalized hierarchical histological tissue type-annotated database for deep learning
|
https://scholar.google.com/scholar?cluster=12090617679524628386&hl=en&as_sdt=0,39
| 2
| 2,019
|
Understanding the Limitations of CNN-Based Absolute Camera Pose Regression
| 296
|
cvpr
| 2
| 0
|
2023-06-03 02:18:51.312000
|
https://github.com/tsattler/understanding_apr
| 41
|
Understanding the limitations of cnn-based absolute camera pose regression
|
https://scholar.google.com/scholar?cluster=11724607917672549353&hl=en&as_sdt=0,40
| 8
| 2,019
|
Robustness of 3D Deep Learning in an Adversarial Setting
| 65
|
cvpr
| 3
| 0
|
2023-06-03 02:18:51.513000
|
https://github.com/matthewwicker/IterativeSalienceOcclusion
| 12
|
Robustness of 3d deep learning in an adversarial setting
|
https://scholar.google.com/scholar?cluster=14424902463693380029&hl=en&as_sdt=0,5
| 3
| 2,019
|
Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach
| 39
|
cvpr
| 8
| 0
|
2023-06-03 02:18:51.713000
|
https://github.com/atapour/temporal-depth-segmentation
| 19
|
Veritatem dies aperit-temporally consistent depth prediction enabled by a multi-task geometric and semantic scene understanding approach
|
https://scholar.google.com/scholar?cluster=1887746925120136124&hl=en&as_sdt=0,5
| 5
| 2,019
|
Segmentation-Driven 6D Object Pose Estimation
| 268
|
cvpr
| 36
| 9
|
2023-06-03 02:18:51.913000
|
https://github.com/cvlab-epfl/segmentation-driven-pose
| 162
|
Segmentation-driven 6d object pose estimation
|
https://scholar.google.com/scholar?cluster=3400614724967065250&hl=en&as_sdt=0,5
| 10
| 2,019
|
Exploiting Temporal Context for 3D Human Pose Estimation in the Wild
| 196
|
cvpr
| 27
| 4
|
2023-06-03 02:18:52.114000
|
https://github.com/deepmind/Temporal-3D-Pose-Kinetics
| 215
|
Exploiting temporal context for 3D human pose estimation in the wild
|
https://scholar.google.com/scholar?cluster=6750649035284089973&hl=en&as_sdt=0,9
| 15
| 2,019
|
Learning Non-Volumetric Depth Fusion Using Successive Reprojections
| 30
|
cvpr
| 15
| 2
|
2023-06-03 02:18:52.315000
|
https://github.com/simon-donne/defusr
| 64
|
Learning non-volumetric depth fusion using successive reprojections
|
https://scholar.google.com/scholar?cluster=13474964124884393440&hl=en&as_sdt=0,5
| 15
| 2,019
|
Stereo R-CNN Based 3D Object Detection for Autonomous Driving
| 458
|
cvpr
| 173
| 40
|
2023-06-03 02:18:52.515000
|
https://github.com/HKUST-Aerial-Robotics/Stereo-RCNN
| 664
|
Stereo r-cnn based 3d object detection for autonomous driving
|
https://scholar.google.com/scholar?cluster=734325547238762341&hl=en&as_sdt=0,47
| 26
| 2,019
|
Semantic Graph Convolutional Networks for 3D Human Pose Regression
| 405
|
cvpr
| 76
| 34
|
2023-06-03 02:18:52.716000
|
https://github.com/garyzhao/SemGCN
| 418
|
Semantic graph convolutional networks for 3d human pose regression
|
https://scholar.google.com/scholar?cluster=13468445676292565719&hl=en&as_sdt=0,5
| 11
| 2,019
|
Noise-Tolerant Paradigm for Training Face Recognition CNNs
| 67
|
cvpr
| 22
| 8
|
2023-06-03 02:18:52.916000
|
https://github.com/huangyangyu/NoiseFace
| 135
|
Noise-tolerant paradigm for training face recognition CNNs
|
https://scholar.google.com/scholar?cluster=13262743614963926246&hl=en&as_sdt=0,36
| 13
| 2,019
|
LAEO-Net: Revisiting People Looking at Each Other in Videos
| 43
|
cvpr
| 0
| 3
|
2023-06-03 02:18:53.118000
|
https://github.com/AVAuco/laeonet
| 13
|
Laeo-net: revisiting people looking at each other in videos
|
https://scholar.google.com/scholar?cluster=1708110166108655427&hl=en&as_sdt=0,33
| 5
| 2,019
|
Learning Individual Styles of Conversational Gesture
| 219
|
cvpr
| 35
| 9
|
2023-06-03 02:18:53.318000
|
https://github.com/amirbar/speech2gesture
| 304
|
Learning individual styles of conversational gesture
|
https://scholar.google.com/scholar?cluster=493752244490743824&hl=en&as_sdt=0,5
| 28
| 2,019
|
Disentangled Representation Learning for 3D Face Shape
| 94
|
cvpr
| 36
| 7
|
2023-06-03 02:18:53.518000
|
https://github.com/zihangJiang/DR-Learning-for-3D-Face
| 224
|
Disentangled representation learning for 3D face shape
|
https://scholar.google.com/scholar?cluster=823415651565938207&hl=en&as_sdt=0,39
| 13
| 2,019
|
Mixed Effects Neural Networks (MeNets) With Applications to Gaze Estimation
| 71
|
cvpr
| 7
| 1
|
2023-06-03 02:18:53.718000
|
https://github.com/vsingh-group/MeNets
| 22
|
Mixed effects neural networks (menets) with applications to gaze estimation
|
https://scholar.google.com/scholar?cluster=12925880536709622206&hl=en&as_sdt=0,33
| 2
| 2,019
|
3D Human Pose Estimation in Video With Temporal Convolutions and Semi-Supervised Training
| 790
|
cvpr
| 720
| 161
|
2023-06-03 02:18:53.919000
|
https://github.com/facebookresearch/VideoPose3D
| 3,301
|
3d human pose estimation in video with temporal convolutions and semi-supervised training
|
https://scholar.google.com/scholar?cluster=14626724142096779446&hl=en&as_sdt=0,5
| 104
| 2,019
|
Cross-Task Weakly Supervised Learning From Instructional Videos
| 153
|
cvpr
| 8
| 3
|
2023-06-03 02:18:54.119000
|
https://github.com/DmZhukov/CrossTask
| 74
|
Cross-task weakly supervised learning from instructional videos
|
https://scholar.google.com/scholar?cluster=5979889052991630691&hl=en&as_sdt=0,5
| 5
| 2,019
|
Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos
| 225
|
cvpr
| 46
| 10
|
2023-06-03 02:18:54.320000
|
https://github.com/RomeroBarata/skeleton_based_anomaly_detection
| 119
|
Learning regularity in skeleton trajectories for anomaly detection in videos
|
https://scholar.google.com/scholar?cluster=7847471061498684691&hl=en&as_sdt=0,10
| 9
| 2,019
|
PoseFix: Model-Agnostic General Human Pose Refinement Network
| 152
|
cvpr
| 64
| 11
|
2023-06-03 02:18:54.519000
|
https://github.com/mks0601/PoseFix_RELEASE
| 324
|
Posefix: Model-agnostic general human pose refinement network
|
https://scholar.google.com/scholar?cluster=10118721486245606094&hl=en&as_sdt=0,5
| 11
| 2,019
|
MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation
| 448
|
cvpr
| 52
| 13
|
2023-06-03 02:18:54.719000
|
https://github.com/yabufarha/ms-tcn
| 176
|
Ms-tcn: Multi-stage temporal convolutional network for action segmentation
|
https://scholar.google.com/scholar?cluster=12665241567525792413&hl=en&as_sdt=0,5
| 8
| 2,019
|
Actional-Structural Graph Convolutional Networks for Skeleton-Based Action Recognition
| 806
|
cvpr
| 69
| 38
|
2023-06-03 02:18:54.920000
|
https://github.com/limaosen0/AS-GCN
| 268
|
Actional-structural graph convolutional networks for skeleton-based action recognition
|
https://scholar.google.com/scholar?cluster=13969616101896512412&hl=en&as_sdt=0,5
| 13
| 2,019
|
Unsupervised Learning of Action Classes With Continuous Temporal Embedding
| 78
|
cvpr
| 15
| 1
|
2023-06-03 02:18:55.120000
|
https://github.com/annusha/unsup_temp_embed
| 63
|
Unsupervised learning of action classes with continuous temporal embedding
|
https://scholar.google.com/scholar?cluster=11120366599222415918&hl=en&as_sdt=0,41
| 6
| 2,019
|
See More, Know More: Unsupervised Video Object Segmentation With Co-Attention Siamese Networks
| 415
|
cvpr
| 61
| 16
|
2023-06-03 02:18:55.321000
|
https://github.com/carrierlxk/COSNet
| 316
|
See more, know more: Unsupervised video object segmentation with co-attention siamese networks
|
https://scholar.google.com/scholar?cluster=9063656729582652774&hl=en&as_sdt=0,44
| 11
| 2,019
|
Patch-Based Discriminative Feature Learning for Unsupervised Person Re-Identification
| 215
|
cvpr
| 16
| 19
|
2023-06-03 02:18:55.521000
|
https://github.com/QizeYang/PAUL
| 92
|
Patch-based discriminative feature learning for unsupervised person re-identification
|
https://scholar.google.com/scholar?cluster=4596838632003958635&hl=en&as_sdt=0,41
| 4
| 2,019
|
The Pros and Cons: Rank-Aware Temporal Attention for Skill Determination in Long Videos
| 75
|
cvpr
| 4
| 5
|
2023-06-03 02:18:55.722000
|
https://github.com/hazeld/rank-aware-attention-network
| 23
|
The pros and cons: Rank-aware temporal attention for skill determination in long videos
|
https://scholar.google.com/scholar?cluster=17234333327696971635&hl=en&as_sdt=0,5
| 4
| 2,019
|
Collaborative Spatiotemporal Feature Learning for Video Action Recognition
| 106
|
cvpr
| 0
| 0
|
2023-06-03 02:18:55.922000
|
https://github.com/hikvision-research/cost
| 4
|
Collaborative spatiotemporal feature learning for video action recognition
|
https://scholar.google.com/scholar?cluster=12686718892180468834&hl=en&as_sdt=0,36
| 2
| 2,019
|
A Neural Temporal Model for Human Motion Prediction
| 111
|
cvpr
| 3
| 3
|
2023-06-03 02:18:56.122000
|
https://github.com/cr7anand/neural_temporal_models
| 22
|
A neural temporal model for human motion prediction
|
https://scholar.google.com/scholar?cluster=17417189942381769994&hl=en&as_sdt=0,5
| 4
| 2,019
|
STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing
| 275
|
cvpr
| 83
| 4
|
2023-06-03 02:18:56.323000
|
https://github.com/csmliu/STGAN
| 408
|
Stgan: A unified selective transfer network for arbitrary image attribute editing
|
https://scholar.google.com/scholar?cluster=1257277387687196331&hl=en&as_sdt=0,31
| 15
| 2,019
|
Self-Supervised GANs via Auxiliary Rotation Loss
| 287
|
cvpr
| 323
| 16
|
2023-06-03 02:18:56.523000
|
https://github.com/google/compare_gan
| 1,812
|
Self-supervised gans via auxiliary rotation loss
|
https://scholar.google.com/scholar?cluster=8764250716042636166&hl=en&as_sdt=0,5
| 52
| 2,019
|
Depth-Aware Video Frame Interpolation
| 418
|
cvpr
| 831
| 75
|
2023-06-03 02:18:56.723000
|
https://github.com/baowenbo/DAIN
| 7,864
|
Depth-aware video frame interpolation
|
https://scholar.google.com/scholar?cluster=6846312087428048842&hl=en&as_sdt=0,23
| 193
| 2,019
|
Texture Mixer: A Network for Controllable Synthesis and Interpolation of Texture
| 39
|
cvpr
| 15
| 1
|
2023-06-03 02:18:56.924000
|
https://github.com/ningyu1991/TextureMixer
| 99
|
Texture mixer: A network for controllable synthesis and interpolation of texture
|
https://scholar.google.com/scholar?cluster=17888404665835444210&hl=en&as_sdt=0,33
| 5
| 2,019
|
Deep Flow-Guided Video Inpainting
| 194
|
cvpr
| 440
| 58
|
2023-06-03 02:18:57.126000
|
https://github.com/nbei/Deep-Flow-Guided-Video-Inpainting
| 2,189
|
Deep flow-guided video inpainting
|
https://scholar.google.com/scholar?cluster=12480445715275812500&hl=en&as_sdt=0,7
| 73
| 2,019
|
Video Generation From Single Semantic Label Map
| 86
|
cvpr
| 12
| 2
|
2023-06-03 02:18:57.327000
|
https://github.com/junting/seg2vid
| 138
|
Video generation from single semantic label map
|
https://scholar.google.com/scholar?cluster=6492810652297849370&hl=en&as_sdt=0,38
| 9
| 2,019
|
Fully Automatic Video Colorization With Self-Regularization and Diversity
| 72
|
cvpr
| 38
| 2
|
2023-06-03 02:18:57.527000
|
https://github.com/ChenyangLEI/Fully-Automatic-Video-Colorization-with-Self-Regularization-and-Diversity
| 179
|
Fully automatic video colorization with self-regularization and diversity
|
https://scholar.google.com/scholar?cluster=10806903677244432963&hl=en&as_sdt=0,33
| 11
| 2,019
|
Image Super-Resolution by Neural Texture Transfer
| 254
|
cvpr
| 97
| 22
|
2023-06-03 02:18:57.727000
|
https://github.com/ZZUTK/SRNTT
| 419
|
Image super-resolution by neural texture transfer
|
https://scholar.google.com/scholar?cluster=11593547226705820278&hl=en&as_sdt=0,5
| 8
| 2,019
|
Quasi-Unsupervised Color Constancy
| 55
|
cvpr
| 9
| 7
|
2023-06-03 02:18:57.927000
|
https://github.com/claudio-unipv/quasi-unsupervised-cc
| 35
|
Quasi-unsupervised color constancy
|
https://scholar.google.com/scholar?cluster=12158440535721243618&hl=en&as_sdt=0,5
| 2
| 2,019
|
Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation
| 502
|
cvpr
| 63
| 11
|
2023-06-03 02:18:58.128000
|
https://github.com/anuragranj/cc
| 441
|
Competitive collaboration: Joint unsupervised learning of depth, camera motion, optical flow and motion segmentation
|
https://scholar.google.com/scholar?cluster=8899288224036536376&hl=en&as_sdt=0,31
| 39
| 2,019
|
Learning Parallax Attention for Stereo Image Super-Resolution
| 213
|
cvpr
| 68
| 7
|
2023-06-03 02:18:58.328000
|
https://github.com/LongguangWang/PASSRnet
| 297
|
Learning parallax attention for stereo image super-resolution
|
https://scholar.google.com/scholar?cluster=15910287610868166333&hl=en&as_sdt=0,36
| 10
| 2,019
|
Deep Exemplar-Based Video Colorization
| 172
|
cvpr
| 65
| 12
|
2023-06-03 02:18:58.528000
|
https://github.com/zhangmozhe/video-colorization
| 283
|
Deep exemplar-based video colorization
|
https://scholar.google.com/scholar?cluster=14469408272096670689&hl=en&as_sdt=0,10
| 12
| 2,019
|
Bi-Directional Cascade Network for Perceptual Edge Detection
| 232
|
cvpr
| 68
| 37
|
2023-06-03 02:18:58.728000
|
https://github.com/pkuCactus/BDCN
| 320
|
Bi-directional cascade network for perceptual edge detection
|
https://scholar.google.com/scholar?cluster=16576139094299758794&hl=en&as_sdt=0,10
| 9
| 2,019
|
Scalable Convolutional Neural Network for Image Compressed Sensing
| 97
|
cvpr
| 5
| 3
|
2023-06-03 02:18:58.928000
|
https://github.com/wzhshi/SCSNet
| 18
|
Scalable convolutional neural network for image compressed sensing
|
https://scholar.google.com/scholar?cluster=9609715805517520381&hl=en&as_sdt=0,33
| 2
| 2,019
|
Single Image Deraining: A Comprehensive Benchmark Analysis
| 228
|
cvpr
| 24
| 6
|
2023-06-03 02:18:59.132000
|
https://github.com/lsy17096535/Single-Image-Deraining
| 144
|
Single image deraining: A comprehensive benchmark analysis
|
https://scholar.google.com/scholar?cluster=17766883545473352036&hl=en&as_sdt=0,39
| 7
| 2,019
|
Learning Transformation Synchronization
| 47
|
cvpr
| 8
| 0
|
2023-06-03 02:18:59.333000
|
https://github.com/xiangruhuang/Learning2Sync
| 42
|
Learning transformation synchronization
|
https://scholar.google.com/scholar?cluster=8470657027462507918&hl=en&as_sdt=0,5
| 3
| 2,019
|
Convolutional Neural Networks Can Be Deceived by Visual Illusions
| 39
|
cvpr
| 1
| 0
|
2023-06-03 02:18:59.533000
|
https://github.com/alviur/convnets_vs_vi
| 2
|
Convolutional neural networks can be deceived by visual illusions
|
https://scholar.google.com/scholar?cluster=2134801593039769309&hl=en&as_sdt=0,23
| 2
| 2,019
|
Events-To-Video: Bringing Modern Computer Vision to Event Cameras
| 259
|
cvpr
| 561
| 0
|
2023-06-03 02:18:59.734000
|
https://github.com/uzh-rpg/event-based_vision_resources
| 2,240
|
Events-to-video: Bringing modern computer vision to event cameras
|
https://scholar.google.com/scholar?cluster=4733379566599962041&hl=en&as_sdt=0,10
| 167
| 2,019
|
D2-Net: A Trainable CNN for Joint Description and Detection of Local Features
| 459
|
cvpr
| 150
| 6
|
2023-06-03 02:18:59.934000
|
https://github.com/mihaidusmanu/d2-net
| 689
|
D2-net: A trainable cnn for joint description and detection of local features
|
https://scholar.google.com/scholar?cluster=2793189340183067127&hl=en&as_sdt=0,5
| 29
| 2,019
|
Feedback Network for Image Super-Resolution
| 716
|
cvpr
| 129
| 29
|
2023-06-03 02:19:00.134000
|
https://github.com/Paper99/SRFBN_CVPR19
| 540
|
Feedback network for image super-resolution
|
https://scholar.google.com/scholar?cluster=632407814303638032&hl=en&as_sdt=0,32
| 9
| 2,019
|
Learning to Extract Flawless Slow Motion From Blurry Videos
| 49
|
cvpr
| 4
| 4
|
2023-06-03 02:19:00.334000
|
https://github.com/MeiguangJin/slow-motion
| 26
|
Learning to extract flawless slow motion from blurry videos
|
https://scholar.google.com/scholar?cluster=5629916241744511325&hl=en&as_sdt=0,5
| 5
| 2,019
|
Natural and Realistic Single Image Super-Resolution With Explicit Natural Manifold Discrimination
| 111
|
cvpr
| 20
| 3
|
2023-06-03 02:19:00.535000
|
https://github.com/JWSoh/NatSR
| 118
|
Natural and realistic single image super-resolution with explicit natural manifold discrimination
|
https://scholar.google.com/scholar?cluster=6468542381924015655&hl=en&as_sdt=0,14
| 9
| 2,019
|
Cascaded Partial Decoder for Fast and Accurate Salient Object Detection
| 734
|
cvpr
| 67
| 11
|
2023-06-03 02:19:00.735000
|
https://github.com/wuzhe71/CPD
| 262
|
Cascaded partial decoder for fast and accurate salient object detection
|
https://scholar.google.com/scholar?cluster=5170808131115363004&hl=en&as_sdt=0,33
| 10
| 2,019
|
Fast Single Image Reflection Suppression via Convex Optimization
| 43
|
cvpr
| 10
| 0
|
2023-06-03 02:19:00.935000
|
https://github.com/yyhz76/reflectSuppress
| 53
|
Fast single image reflection suppression via convex optimization
|
https://scholar.google.com/scholar?cluster=14060773775024760460&hl=en&as_sdt=0,5
| 3
| 2,019
|
A Mutual Learning Method for Salient Object Detection With Intertwined Multi-Supervision
| 226
|
cvpr
| 0
| 0
|
2023-06-03 02:19:01.137000
|
https://github.com/JosephineRabbit/MLMSNet
| 2
|
A mutual learning method for salient object detection with intertwined multi-supervision
|
https://scholar.google.com/scholar?cluster=15923500132072869043&hl=en&as_sdt=0,21
| 1
| 2,019
|
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