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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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