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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 |