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Globally Optimal Contrast Maximisation for Event-Based Motion Estimation | 39 | cvpr | 561 | 0 | 2023-06-03 02:44:17.423000 | https://github.com/uzh-rpg/event-based_vision_resources | 2,240 | Globally optimal contrast maximisation for event-based motion estimation | https://scholar.google.com/scholar?cluster=4354602170292397697&hl=en&as_sdt=0,5 | 167 | 2,020 |
MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation | 112 | cvpr | 74 | 14 | 2023-06-03 02:44:17.624000 | https://github.com/mseg-dataset/mseg-semantic | 438 | MSeg: A composite dataset for multi-domain semantic segmentation | https://scholar.google.com/scholar?cluster=2323571480313097229&hl=en&as_sdt=0,31 | 15 | 2,020 |
Towards High-Fidelity 3D Face Reconstruction From In-the-Wild Images Using Graph Convolutional Networks | 85 | cvpr | 76 | 23 | 2023-06-03 02:44:17.825000 | https://github.com/FuxiCV/3D-Face-GCNs | 366 | Towards high-fidelity 3d face reconstruction from in-the-wild images using graph convolutional networks | https://scholar.google.com/scholar?cluster=2122730487174277154&hl=en&as_sdt=0,5 | 29 | 2,020 |
Learning Invariant Representation for Unsupervised Image Restoration | 54 | cvpr | 22 | 11 | 2023-06-03 02:44:18.026000 | https://github.com/Wenchao-Du/LIR-for-Unsupervised-IR | 89 | Learning invariant representation for unsupervised image restoration | https://scholar.google.com/scholar?cluster=13371140850855858695&hl=en&as_sdt=0,33 | 7 | 2,020 |
DMCP: Differentiable Markov Channel Pruning for Neural Networks | 126 | cvpr | 21 | 4 | 2023-06-03 02:44:18.227000 | https://github.com/Zx55/dmcp | 117 | Dmcp: Differentiable markov channel pruning for neural networks | https://scholar.google.com/scholar?cluster=15309133374809291742&hl=en&as_sdt=0,5 | 7 | 2,020 |
Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation | 211 | cvpr | 14 | 2 | 2023-06-03 02:44:18.429000 | https://github.com/princetonvisualai/DomainBiasMitigation | 63 | Towards fairness in visual recognition: Effective strategies for bias mitigation | https://scholar.google.com/scholar?cluster=10189745679391469109&hl=en&as_sdt=0,41 | 7 | 2,020 |
Network Adjustment: Channel Search Guided by FLOPs Utilization Ratio | 9 | cvpr | 2 | 3 | 2023-06-03 02:44:18.630000 | https://github.com/danczs/NetworkAdjustment | 13 | Network adjustment: Channel search guided by FLOPs utilization ratio | https://scholar.google.com/scholar?cluster=5597241930740675157&hl=en&as_sdt=0,5 | 3 | 2,020 |
Learning Integral Objects With Intra-Class Discriminator for Weakly-Supervised Semantic Segmentation | 142 | cvpr | 4 | 3 | 2023-06-03 02:44:18.831000 | https://github.com/js-fan/ICD | 72 | Learning integral objects with intra-class discriminator for weakly-supervised semantic segmentation | https://scholar.google.com/scholar?cluster=10142530448531137253&hl=en&as_sdt=0,10 | 5 | 2,020 |
Light-weight Calibrator: A Separable Component for Unsupervised Domain Adaptation | 24 | cvpr | 2 | 1 | 2023-06-03 02:44:19.031000 | https://github.com/yeshaokai/Calibrator-Domain-Adaptation | 10 | Light-weight calibrator: a separable component for unsupervised domain adaptation | https://scholar.google.com/scholar?cluster=16926159104807511055&hl=en&as_sdt=0,33 | 6 | 2,020 |
Enhancing Cross-Task Black-Box Transferability of Adversarial Examples With Dispersion Reduction | 44 | cvpr | 3 | 0 | 2023-06-03 02:44:19.233000 | https://github.com/anonymous0120/dr | 18 | Enhancing cross-task black-box transferability of adversarial examples with dispersion reduction | https://scholar.google.com/scholar?cluster=16861420040062582539&hl=en&as_sdt=0,47 | 3 | 2,020 |
GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking With 2D-3D Multi-Feature Learning | 158 | cvpr | 6 | 8 | 2023-06-03 02:44:19.434000 | https://github.com/xinshuoweng/GNN3DMOT | 78 | Gnn3dmot: Graph neural network for 3d multi-object tracking with 2d-3d multi-feature learning | https://scholar.google.com/scholar?cluster=2873818380563144640&hl=en&as_sdt=0,5 | 31 | 2,020 |
Searching Central Difference Convolutional Networks for Face Anti-Spoofing | 256 | cvpr | 172 | 5 | 2023-06-03 02:44:19.636000 | https://github.com/ZitongYu/CDCN | 514 | Searching central difference convolutional networks for face anti-spoofing | https://scholar.google.com/scholar?cluster=1829978747982388328&hl=en&as_sdt=0,5 | 15 | 2,020 |
BSP-Net: Generating Compact Meshes via Binary Space Partitioning | 199 | cvpr | 23 | 0 | 2023-06-03 02:44:19.837000 | https://github.com/czq142857/BSP-NET-original | 173 | Bsp-net: Generating compact meshes via binary space partitioning | https://scholar.google.com/scholar?cluster=18390590308749024682&hl=en&as_sdt=0,5 | 9 | 2,020 |
Two Causal Principles for Improving Visual Dialog | 109 | cvpr | 3 | 0 | 2023-06-03 02:44:20.038000 | https://github.com/simpleshinobu/visdial-principles | 33 | Two causal principles for improving visual dialog | https://scholar.google.com/scholar?cluster=9841217633248992434&hl=en&as_sdt=0,31 | 2 | 2,020 |
Relation-Aware Global Attention for Person Re-Identification | 401 | cvpr | 64 | 27 | 2023-06-03 02:44:20.239000 | https://github.com/microsoft/Relation-Aware-Global-Attention-Networks | 302 | Relation-aware global attention for person re-identification | https://scholar.google.com/scholar?cluster=15864607000188383728&hl=en&as_sdt=0,39 | 5 | 2,020 |
Monocular Real-Time Hand Shape and Motion Capture Using Multi-Modal Data | 147 | cvpr | 163 | 4 | 2023-06-03 02:44:20.440000 | https://github.com/CalciferZh/minimal-hand | 866 | Monocular real-time hand shape and motion capture using multi-modal data | https://scholar.google.com/scholar?cluster=15702388084583446253&hl=en&as_sdt=0,5 | 38 | 2,020 |
Adversarial Camouflage: Hiding Physical-World Attacks With Natural Styles | 142 | cvpr | 18 | 3 | 2023-06-03 02:44:20.640000 | https://github.com/RjDuan/AdvCam-Hide-Adv-with-Natural-Styles | 76 | Adversarial camouflage: Hiding physical-world attacks with natural styles | https://scholar.google.com/scholar?cluster=17515584599994156419&hl=en&as_sdt=0,10 | 3 | 2,020 |
Fast Template Matching and Update for Video Object Tracking and Segmentation | 47 | cvpr | 5 | 0 | 2023-06-03 02:44:20.841000 | https://github.com/insomnia94/FTMU | 20 | Fast template matching and update for video object tracking and segmentation | https://scholar.google.com/scholar?cluster=3709180539925267975&hl=en&as_sdt=0,36 | 2 | 2,020 |
3DV: 3D Dynamic Voxel for Action Recognition in Depth Video | 54 | cvpr | 3 | 5 | 2023-06-03 02:44:21.043000 | https://github.com/3huo/3DV-Action | 58 | 3dv: 3d dynamic voxel for action recognition in depth video | https://scholar.google.com/scholar?cluster=3131571121082566851&hl=en&as_sdt=0,5 | 9 | 2,020 |
What It Thinks Is Important Is Important: Robustness Transfers Through Input Gradients | 40 | cvpr | 0 | 3 | 2023-06-03 02:44:21.244000 | https://github.com/alvinchangw/IGAM_CVPR2020 | 16 | What it thinks is important is important: Robustness transfers through input gradients | https://scholar.google.com/scholar?cluster=2959696626352091650&hl=en&as_sdt=0,33 | 3 | 2,020 |
Deep Parametric Shape Predictions Using Distance Fields | 42 | cvpr | 11 | 1 | 2023-06-03 02:44:21.446000 | https://github.com/dmsm/DeepParametricShapes | 50 | Deep parametric shape predictions using distance fields | https://scholar.google.com/scholar?cluster=5781070693880125016&hl=en&as_sdt=0,33 | 7 | 2,020 |
Weakly Supervised Discriminative Feature Learning With State Information for Person Identification | 26 | cvpr | 8 | 3 | 2023-06-03 02:44:21.647000 | https://github.com/KovenYu/state-information | 58 | Weakly supervised discriminative feature learning with state information for person identification | https://scholar.google.com/scholar?cluster=761891001136222127&hl=en&as_sdt=0,5 | 7 | 2,020 |
M2m: Imbalanced Classification via Major-to-Minor Translation | 145 | cvpr | 12 | 1 | 2023-06-03 02:44:21.848000 | https://github.com/alinlab/M2m | 82 | M2m: Imbalanced classification via major-to-minor translation | https://scholar.google.com/scholar?cluster=5083788860746797575&hl=en&as_sdt=0,5 | 6 | 2,020 |
DSGN: Deep Stereo Geometry Network for 3D Object Detection | 147 | cvpr | 48 | 7 | 2023-06-03 02:44:22.049000 | https://github.com/chenyilun95/DSGN | 307 | Dsgn: Deep stereo geometry network for 3d object detection | https://scholar.google.com/scholar?cluster=15382283662612597207&hl=en&as_sdt=0,5 | 23 | 2,020 |
Adaptive Subspaces for Few-Shot Learning | 320 | cvpr | 18 | 3 | 2023-06-03 02:44:22.250000 | https://github.com/chrysts/dsn_fewshot | 83 | Adaptive subspaces for few-shot learning | https://scholar.google.com/scholar?cluster=6709917758415861321&hl=en&as_sdt=0,5 | 6 | 2,020 |
MixNMatch: Multifactor Disentanglement and Encoding for Conditional Image Generation | 64 | cvpr | 177 | 11 | 2023-06-03 02:44:22.452000 | https://github.com/Yuheng-Li/MixNMatch | 919 | Mixnmatch: Multifactor disentanglement and encoding for conditional image generation | https://scholar.google.com/scholar?cluster=14097606698351716973&hl=en&as_sdt=0,43 | 58 | 2,020 |
Predicting Semantic Map Representations From Images Using Pyramid Occupancy Networks | 132 | cvpr | 57 | 16 | 2023-06-03 02:44:22.652000 | https://github.com/tom-roddick/mono-semantic-maps | 253 | Predicting semantic map representations from images using pyramid occupancy networks | https://scholar.google.com/scholar?cluster=11157030601692626647&hl=en&as_sdt=0,5 | 20 | 2,020 |
Parsing-Based View-Aware Embedding Network for Vehicle Re-Identification | 142 | cvpr | 24 | 32 | 2023-06-03 02:44:22.853000 | https://github.com/silverbulletmdc/PVEN | 92 | Parsing-based view-aware embedding network for vehicle re-identification | https://scholar.google.com/scholar?cluster=1756278829660523711&hl=en&as_sdt=0,22 | 9 | 2,020 |
Dynamic Graph Message Passing Networks | 108 | cvpr | 4 | 1 | 2023-06-03 02:44:23.054000 | https://github.com/fudan-zvg/dgmn2 | 21 | Dynamic graph message passing networks | https://scholar.google.com/scholar?cluster=4303557091610097560&hl=en&as_sdt=0,33 | 3 | 2,020 |
Evaluating Weakly Supervised Object Localization Methods Right | 158 | cvpr | 56 | 11 | 2023-06-03 02:44:23.255000 | https://github.com/clovaai/wsolevaluation | 314 | Evaluating weakly supervised object localization methods right | https://scholar.google.com/scholar?cluster=14823117010585920954&hl=en&as_sdt=0,14 | 15 | 2,020 |
Stochastic Classifiers for Unsupervised Domain Adaptation | 119 | cvpr | 3 | 0 | 2023-06-03 02:44:23.456000 | https://github.com/zhiheLu/STAR_Stochastic_Classifiers_for_UDA | 21 | Stochastic classifiers for unsupervised domain adaptation | https://scholar.google.com/scholar?cluster=2558021056858878610&hl=en&as_sdt=0,5 | 2 | 2,020 |
AutoTrack: Towards High-Performance Visual Tracking for UAV With Automatic Spatio-Temporal Regularization | 265 | cvpr | 21 | 6 | 2023-06-03 02:44:23.657000 | https://github.com/vision4robotics/AutoTrack | 91 | AutoTrack: Towards high-performance visual tracking for UAV with automatic spatio-temporal regularization | https://scholar.google.com/scholar?cluster=12540468291839351517&hl=en&as_sdt=0,14 | 7 | 2,020 |
CIAGAN: Conditional Identity Anonymization Generative Adversarial Networks | 114 | cvpr | 22 | 11 | 2023-06-03 02:44:23.858000 | https://github.com/dvl-tum/ciagan | 65 | Ciagan: Conditional identity anonymization generative adversarial networks | https://scholar.google.com/scholar?cluster=16067170614104475076&hl=en&as_sdt=0,5 | 5 | 2,020 |
DaST: Data-Free Substitute Training for Adversarial Attacks | 97 | cvpr | 26 | 2 | 2023-06-03 02:44:24.059000 | https://github.com/zhoumingyi/DaST | 107 | Dast: Data-free substitute training for adversarial attacks | https://scholar.google.com/scholar?cluster=5988684575644720763&hl=en&as_sdt=0,5 | 5 | 2,020 |
A Morphable Face Albedo Model | 42 | cvpr | 33 | 2 | 2023-06-03 02:44:24.260000 | https://github.com/waps101/AlbedoMM | 218 | A morphable face albedo model | https://scholar.google.com/scholar?cluster=16437944822002654179&hl=en&as_sdt=0,11 | 11 | 2,020 |
ActiveMoCap: Optimized Viewpoint Selection for Active Human Motion Capture | 21 | cvpr | 2 | 1 | 2023-06-03 02:44:24.460000 | https://github.com/senakicir/ActiveMoCap | 20 | Activemocap: Optimized viewpoint selection for active human motion capture | https://scholar.google.com/scholar?cluster=3412526141858417261&hl=en&as_sdt=0,10 | 8 | 2,020 |
Rethinking Depthwise Separable Convolutions: How Intra-Kernel Correlations Lead to Improved MobileNets | 74 | cvpr | 22 | 3 | 2023-06-03 02:44:24.661000 | https://github.com/zeiss-microscopy/BSConv | 126 | Rethinking depthwise separable convolutions: How intra-kernel correlations lead to improved mobilenets | https://scholar.google.com/scholar?cluster=398559284763885074&hl=en&as_sdt=0,24 | 6 | 2,020 |
Vision-Dialog Navigation by Exploring Cross-Modal Memory | 38 | cvpr | 3 | 5 | 2023-06-03 02:44:24.863000 | https://github.com/yeezhu/CMN.pytorch | 19 | Vision-dialog navigation by exploring cross-modal memory | https://scholar.google.com/scholar?cluster=678153147767271352&hl=en&as_sdt=0,36 | 4 | 2,020 |
Noise Robust Generative Adversarial Networks | 26 | cvpr | 13 | 2 | 2023-06-03 02:44:25.064000 | https://github.com/takuhirok/NR-GAN | 60 | Noise robust generative adversarial networks | https://scholar.google.com/scholar?cluster=4094388698161781290&hl=en&as_sdt=0,5 | 3 | 2,020 |
A Sparse Resultant Based Method for Efficient Minimal Solvers | 10 | cvpr | 2 | 1 | 2023-06-03 02:44:25.265000 | https://github.com/snehalbhayani/aut_gen_sparse_res_solver | 4 | A sparse resultant based method for efficient minimal solvers | https://scholar.google.com/scholar?cluster=16322494935522000934&hl=en&as_sdt=0,5 | 2 | 2,020 |
Differentiable Adaptive Computation Time for Visual Reasoning | 14 | cvpr | 3 | 0 | 2023-06-03 02:44:25.467000 | https://github.com/ceyzaguirre4/DACT-MAC | 14 | Differentiable adaptive computation time for visual reasoning | https://scholar.google.com/scholar?cluster=11306709913679582369&hl=en&as_sdt=0,5 | 4 | 2,020 |
DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection | 254 | cvpr | 68 | 3 | 2023-06-03 02:44:25.668000 | https://github.com/EndlessSora/DeeperForensics-1.0 | 489 | Deeperforensics-1.0: A large-scale dataset for real-world face forgery detection | https://scholar.google.com/scholar?cluster=9997678139358274550&hl=en&as_sdt=0,10 | 36 | 2,020 |
Exploring Data Aggregation in Policy Learning for Vision-Based Urban Autonomous Driving | 51 | cvpr | 6 | 1 | 2023-06-03 02:44:25.870000 | https://github.com/autonomousvision/data_aggregation | 33 | Exploring data aggregation in policy learning for vision-based urban autonomous driving | https://scholar.google.com/scholar?cluster=10048772985494640887&hl=en&as_sdt=0,43 | 8 | 2,020 |
Shape Reconstruction by Learning Differentiable Surface Representations | 33 | cvpr | 6 | 7 | 2023-06-03 02:44:26.071000 | https://github.com/bednarikjan/differential_surface_representation | 21 | Shape reconstruction by learning differentiable surface representations | https://scholar.google.com/scholar?cluster=16485905991969114815&hl=en&as_sdt=0,5 | 3 | 2,020 |
Breaking the Cycle - Colleagues Are All You Need | 75 | cvpr | 32 | 3 | 2023-06-03 02:44:26.272000 | https://github.com/Onr/Council-GAN | 260 | Breaking the cycle-colleagues are all you need | https://scholar.google.com/scholar?cluster=8013153262168906656&hl=en&as_sdt=0,33 | 8 | 2,020 |
Temporal Pyramid Network for Action Recognition | 292 | cvpr | 57 | 14 | 2023-06-03 02:44:26.473000 | https://github.com/decisionforce/TPN | 381 | Temporal pyramid network for action recognition | https://scholar.google.com/scholar?cluster=17700791289500480350&hl=en&as_sdt=0,5 | 16 | 2,020 |
Making Better Mistakes: Leveraging Class Hierarchies With Deep Networks | 71 | cvpr | 5 | 1 | 2023-06-03 02:44:26.674000 | https://github.com/fiveai/making-better-mistakes | 60 | Making better mistakes: Leveraging class hierarchies with deep networks | https://scholar.google.com/scholar?cluster=12658314218813959058&hl=en&as_sdt=0,6 | 10 | 2,020 |
A Characteristic Function Approach to Deep Implicit Generative Modeling | 24 | cvpr | 6 | 0 | 2023-06-03 02:44:26.875000 | https://github.com/crslab/OCFGAN | 13 | A characteristic function approach to deep implicit generative modeling | https://scholar.google.com/scholar?cluster=9590461487236584070&hl=en&as_sdt=0,5 | 4 | 2,020 |
Bayesian Adversarial Human Motion Synthesis | 24 | cvpr | 2 | 2 | 2023-06-03 02:44:27.076000 | https://github.com/rort1989/BH-HSMM | 10 | Bayesian adversarial human motion synthesis | https://scholar.google.com/scholar?cluster=3976126790868555567&hl=en&as_sdt=0,39 | 4 | 2,020 |
A Unified Object Motion and Affinity Model for Online Multi-Object Tracking | 83 | cvpr | 14 | 6 | 2023-06-03 02:44:27.277000 | https://github.com/yinjunbo/UMA-MOT | 89 | A unified object motion and affinity model for online multi-object tracking | https://scholar.google.com/scholar?cluster=5947981595077920840&hl=en&as_sdt=0,5 | 15 | 2,020 |
Deep Relational Reasoning Graph Network for Arbitrary Shape Text Detection | 145 | cvpr | 58 | 12 | 2023-06-03 02:44:27.478000 | https://github.com/GXYM/DRRG | 251 | Deep relational reasoning graph network for arbitrary shape text detection | https://scholar.google.com/scholar?cluster=12199054519078728891&hl=en&as_sdt=0,11 | 11 | 2,020 |
Learning to Forget for Meta-Learning | 70 | cvpr | 6 | 1 | 2023-06-03 02:44:27.679000 | https://github.com/baiksung/L2F | 30 | Learning to forget for meta-learning | https://scholar.google.com/scholar?cluster=7941198110470516466&hl=en&as_sdt=0,5 | 3 | 2,020 |
A Self-supervised Approach for Adversarial Robustness | 134 | cvpr | 16 | 0 | 2023-06-03 02:44:27.879000 | https://github.com/Muzammal-Naseer/NRP | 72 | A self-supervised approach for adversarial robustness | https://scholar.google.com/scholar?cluster=9329721027382118239&hl=en&as_sdt=0,44 | 4 | 2,020 |
Multimodal Future Localization and Emergence Prediction for Objects in Egocentric View With a Reachability Prior | 25 | cvpr | 6 | 3 | 2023-06-03 02:44:28.080000 | https://github.com/lmb-freiburg/FLN-EPN-RPN | 28 | Multimodal future localization and emergence prediction for objects in egocentric view with a reachability prior | https://scholar.google.com/scholar?cluster=1762591900453621197&hl=en&as_sdt=0,5 | 7 | 2,020 |
PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation | 281 | cvpr | 74 | 24 | 2023-06-03 02:44:28.281000 | https://github.com/edwardzhou130/PolarSeg | 327 | Polarnet: An improved grid representation for online lidar point clouds semantic segmentation | https://scholar.google.com/scholar?cluster=4631427403053304409&hl=en&as_sdt=0,10 | 14 | 2,020 |
CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement | 124 | cvpr | 90 | 1 | 2023-06-03 02:44:28.482000 | https://github.com/hkchengrex/CascadePSP | 714 | Cascadepsp: Toward class-agnostic and very high-resolution segmentation via global and local refinement | https://scholar.google.com/scholar?cluster=6392003581134189535&hl=en&as_sdt=0,31 | 15 | 2,020 |
Meta-Learning of Neural Architectures for Few-Shot Learning | 108 | cvpr | 6 | 1 | 2023-06-03 02:44:28.683000 | https://github.com/boschresearch/metanas | 14 | Meta-learning of neural architectures for few-shot learning | https://scholar.google.com/scholar?cluster=17906366543837771279&hl=en&as_sdt=0,5 | 3 | 2,020 |
HybridPose: 6D Object Pose Estimation Under Hybrid Representations | 187 | cvpr | 66 | 38 | 2023-06-03 02:44:28.883000 | https://github.com/chensong1995/HybridPose | 371 | Hybridpose: 6d object pose estimation under hybrid representations | https://scholar.google.com/scholar?cluster=3057712227864122267&hl=en&as_sdt=0,34 | 16 | 2,020 |
Distilling Knowledge From Graph Convolutional Networks | 165 | cvpr | 8 | 2 | 2023-06-03 02:44:29.085000 | https://github.com/ihollywhy/DistillGCN.PyTorch | 40 | Distilling knowledge from graph convolutional networks | https://scholar.google.com/scholar?cluster=6849351348645594567&hl=en&as_sdt=0,5 | 1 | 2,020 |
The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks | 261 | cvpr | 6 | 2 | 2023-06-03 02:44:29.286000 | https://github.com/AI-secure/GMI-Attack | 14 | The secret revealer: Generative model-inversion attacks against deep neural networks | https://scholar.google.com/scholar?cluster=17078326569400271767&hl=en&as_sdt=0,33 | 2 | 2,020 |
Image Super-Resolution With Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining | 276 | cvpr | 46 | 23 | 2023-06-03 02:44:29.488000 | https://github.com/SHI-Labs/Cross-Scale-Non-Local-Attention | 389 | Image super-resolution with cross-scale non-local attention and exhaustive self-exemplars mining | https://scholar.google.com/scholar?cluster=11182964685373054043&hl=en&as_sdt=0,5 | 16 | 2,020 |
Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence | 115 | cvpr | 7 | 4 | 2023-06-03 02:44:29.688000 | https://github.com/LIX-shape-analysis/GeomFmaps | 48 | Deep geometric functional maps: Robust feature learning for shape correspondence | https://scholar.google.com/scholar?cluster=6948059964604489925&hl=en&as_sdt=0,5 | 6 | 2,020 |
Designing Network Design Spaces | 1,037 | cvpr | 240 | 24 | 2023-06-03 02:44:29.889000 | https://github.com/facebookresearch/pycls | 2,054 | Designing network design spaces | https://scholar.google.com/scholar?cluster=1436458088266741112&hl=en&as_sdt=0,31 | 60 | 2,020 |
Ego-Topo: Environment Affordances From Egocentric Video | 73 | cvpr | 3 | 1 | 2023-06-03 02:44:30.090000 | https://github.com/facebookresearch/ego-topo | 26 | Ego-topo: Environment affordances from egocentric video | https://scholar.google.com/scholar?cluster=5331619265150019338&hl=en&as_sdt=0,33 | 7 | 2,020 |
Few-Shot Object Detection With Attention-RPN and Multi-Relation Detector | 433 | cvpr | 47 | 55 | 2023-06-03 02:44:30.292000 | https://github.com/fanq15/FewX | 314 | Few-shot object detection with attention-RPN and multi-relation detector | https://scholar.google.com/scholar?cluster=10133572337251446204&hl=en&as_sdt=0,32 | 14 | 2,020 |
Editing in Style: Uncovering the Local Semantics of GANs | 204 | cvpr | 15 | 4 | 2023-06-03 02:44:30.493000 | https://github.com/IVRL/GANLocalEditing | 142 | Editing in style: Uncovering the local semantics of gans | https://scholar.google.com/scholar?cluster=6200969521976099940&hl=en&as_sdt=0,5 | 5 | 2,020 |
PVN3D: A Deep Point-Wise 3D Keypoints Voting Network for 6DoF Pose Estimation | 299 | cvpr | 101 | 26 | 2023-06-03 02:44:30.693000 | https://github.com/ethnhe/PVN3D | 422 | Pvn3d: A deep point-wise 3d keypoints voting network for 6dof pose estimation | https://scholar.google.com/scholar?cluster=7432941682090070970&hl=en&as_sdt=0,33 | 20 | 2,020 |
A Graduated Filter Method for Large Scale Robust Estimation | 4 | cvpr | 2 | 0 | 2023-06-03 02:44:30.894000 | https://github.com/intellhave/ASKER | 16 | A graduated filter method for large scale robust estimation | https://scholar.google.com/scholar?cluster=11054634057468269095&hl=en&as_sdt=0,5 | 2 | 2,020 |
Domain-Aware Visual Bias Eliminating for Generalized Zero-Shot Learning | 123 | cvpr | 2 | 4 | 2023-06-03 02:44:31.095000 | https://github.com/mboboGO/DVBE | 40 | Domain-aware visual bias eliminating for generalized zero-shot learning | https://scholar.google.com/scholar?cluster=17212047460800688269&hl=en&as_sdt=0,5 | 3 | 2,020 |
Height and Uprightness Invariance for 3D Prediction From a Single View | 3 | cvpr | 3 | 1 | 2023-06-03 02:44:31.297000 | https://github.com/mbaradad/im2pcl | 8 | Height and uprightness invariance for 3d prediction from a single view | https://scholar.google.com/scholar?cluster=6069115121400584246&hl=en&as_sdt=0,10 | 5 | 2,020 |
VSGNet: Spatial Attention Network for Detecting Human Object Interactions Using Graph Convolutions | 150 | cvpr | 21 | 5 | 2023-06-03 02:44:31.498000 | https://github.com/ASMIftekhar/VSGNet | 97 | Vsgnet: Spatial attention network for detecting human object interactions using graph convolutions | https://scholar.google.com/scholar?cluster=12125960982809080831&hl=en&as_sdt=0,5 | 12 | 2,020 |
Projection & Probability-Driven Black-Box Attack | 27 | cvpr | 2 | 3 | 2023-06-03 02:44:31.699000 | https://github.com/theFool32/PPBA | 13 | Projection & probability-driven black-box attack | https://scholar.google.com/scholar?cluster=12975032074953519528&hl=en&as_sdt=0,5 | 3 | 2,020 |
Learning Better Lossless Compression Using Lossy Compression | 51 | cvpr | 9 | 2 | 2023-06-03 02:44:31.900000 | https://github.com/fab-jul/RC-PyTorch | 45 | Learning better lossless compression using lossy compression | https://scholar.google.com/scholar?cluster=6500897799231953693&hl=en&as_sdt=0,2 | 6 | 2,020 |
Dynamic Hierarchical Mimicking Towards Consistent Optimization Objectives | 22 | cvpr | 19 | 2 | 2023-06-03 02:44:32.101000 | https://github.com/d-li14/dhm | 85 | Dynamic hierarchical mimicking towards consistent optimization objectives | https://scholar.google.com/scholar?cluster=4527803130408839442&hl=en&as_sdt=0,33 | 8 | 2,020 |
Deep Iterative Surface Normal Estimation | 31 | cvpr | 4 | 4 | 2023-06-03 02:44:32.303000 | https://github.com/nnaisense/deep-iterative-surface-normal-estimation | 27 | Deep iterative surface normal estimation | https://scholar.google.com/scholar?cluster=17138079772193977333&hl=en&as_sdt=0,5 | 5 | 2,020 |
Deblurring by Realistic Blurring | 213 | cvpr | 12 | 0 | 2023-06-03 02:44:32.505000 | https://github.com/HDCVLab/Deblurring-by-Realistic-Blurring | 49 | Deblurring by realistic blurring | https://scholar.google.com/scholar?cluster=5892850021726448686&hl=en&as_sdt=0,5 | 1 | 2,020 |
BiFuse: Monocular 360 Depth Estimation via Bi-Projection Fusion | 110 | cvpr | 29 | 17 | 2023-06-03 02:44:32.706000 | https://github.com/Yeh-yu-hsuan/BiFuse | 159 | Bifuse: Monocular 360 depth estimation via bi-projection fusion | https://scholar.google.com/scholar?cluster=3724608691256197367&hl=en&as_sdt=0,5 | 8 | 2,020 |
MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion | 68 | cvpr | 51 | 15 | 2023-06-03 02:44:32.907000 | https://github.com/wkentaro/morefusion | 209 | Morefusion: Multi-object reasoning for 6d pose estimation from volumetric fusion | https://scholar.google.com/scholar?cluster=12133155819369787007&hl=en&as_sdt=0,14 | 21 | 2,020 |
Plug-and-Play Algorithms for Large-Scale Snapshot Compressive Imaging | 128 | cvpr | 21 | 0 | 2023-06-03 02:44:33.109000 | https://github.com/liuyang12/PnP-SCI | 40 | Plug-and-play algorithms for large-scale snapshot compressive imaging | https://scholar.google.com/scholar?cluster=635704366161862904&hl=en&as_sdt=0,39 | 4 | 2,020 |
Super-BPD: Super Boundary-to-Pixel Direction for Fast Image Segmentation | 15 | cvpr | 37 | 7 | 2023-06-03 02:44:33.310000 | https://github.com/JianqiangWan/Super-BPD | 193 | Super-BPD: Super boundary-to-pixel direction for fast image segmentation | https://scholar.google.com/scholar?cluster=17108816326157491572&hl=en&as_sdt=0,49 | 6 | 2,020 |
Visual Reaction: Learning to Play Catch With Your Drone | 12 | cvpr | 3 | 1 | 2023-06-03 02:44:33.511000 | https://github.com/KuoHaoZeng/Visual_Reaction | 10 | Visual reaction: Learning to play catch with your drone | https://scholar.google.com/scholar?cluster=3568490935721651270&hl=en&as_sdt=0,47 | 2 | 2,020 |
Single-Stage Semantic Segmentation From Image Labels | 136 | cvpr | 45 | 6 | 2023-06-03 02:44:33.711000 | https://github.com/visinf/1-stage-wseg | 363 | Single-stage semantic segmentation from image labels | https://scholar.google.com/scholar?cluster=14008306007503312979&hl=en&as_sdt=0,33 | 21 | 2,020 |
Learning to See Through Obstructions | 44 | cvpr | 183 | 14 | 2023-06-03 02:44:33.912000 | https://github.com/alex04072000/ObstructionRemoval | 984 | Learning to see through obstructions | https://scholar.google.com/scholar?cluster=1342716409014243031&hl=en&as_sdt=0,1 | 47 | 2,020 |
D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features | 207 | cvpr | 35 | 6 | 2023-06-03 02:44:34.112000 | https://github.com/XuyangBai/D3Feat | 236 | D3feat: Joint learning of dense detection and description of 3d local features | https://scholar.google.com/scholar?cluster=8766956035257707158&hl=en&as_sdt=0,11 | 8 | 2,020 |
Front2Back: Single View 3D Shape Reconstruction via Front to Back Prediction | 34 | cvpr | 0 | 1 | 2023-06-03 02:44:34.313000 | https://github.com/rozentill/Front2Back | 6 | Front2back: Single view 3d shape reconstruction via front to back prediction | https://scholar.google.com/scholar?cluster=10182733411944684144&hl=en&as_sdt=0,16 | 4 | 2,020 |
Cross-Batch Memory for Embedding Learning | 184 | cvpr | 39 | 13 | 2023-06-03 02:44:34.515000 | https://github.com/MalongTech/research-xbm | 280 | Cross-batch memory for embedding learning | https://scholar.google.com/scholar?cluster=6637868233984280023&hl=en&as_sdt=0,39 | 9 | 2,020 |
IMRAM: Iterative Matching With Recurrent Attention Memory for Cross-Modal Image-Text Retrieval | 212 | cvpr | 29 | 2 | 2023-06-03 02:44:34.715000 | https://github.com/HuiChen24/IMRAM | 83 | Imram: Iterative matching with recurrent attention memory for cross-modal image-text retrieval | https://scholar.google.com/scholar?cluster=5242365097575219545&hl=en&as_sdt=0,23 | 1 | 2,020 |
Satellite Image Time Series Classification With Pixel-Set Encoders and Temporal Self-Attention | 97 | cvpr | 35 | 2 | 2023-06-03 02:44:34.921000 | https://github.com/VSainteuf/pytorch-psetae | 141 | Satellite image time series classification with pixel-set encoders and temporal self-attention | https://scholar.google.com/scholar?cluster=11396621858163202989&hl=en&as_sdt=0,10 | 3 | 2,020 |
Show, Edit and Tell: A Framework for Editing Image Captions | 51 | cvpr | 13 | 0 | 2023-06-03 02:44:35.122000 | https://github.com/fawazsammani/show-edit-tell | 77 | Show, edit and tell: a framework for editing image captions | https://scholar.google.com/scholar?cluster=7783895758823170058&hl=en&as_sdt=0,44 | 3 | 2,020 |
ARShadowGAN: Shadow Generative Adversarial Network for Augmented Reality in Single Light Scenes | 58 | cvpr | 13 | 3 | 2023-06-03 02:44:35.323000 | https://github.com/ldq9526/ARShadowGAN | 53 | Arshadowgan: Shadow generative adversarial network for augmented reality in single light scenes | https://scholar.google.com/scholar?cluster=9090118632543903687&hl=en&as_sdt=0,5 | 8 | 2,020 |
Train in Germany, Test in the USA: Making 3D Object Detectors Generalize | 88 | cvpr | 13 | 9 | 2023-06-03 02:44:35.525000 | https://github.com/cxy1997/3D_adapt_auto_driving | 114 | Train in germany, test in the usa: Making 3d object detectors generalize | https://scholar.google.com/scholar?cluster=11207545328500921809&hl=en&as_sdt=0,5 | 14 | 2,020 |
Self-Learning Video Rain Streak Removal: When Cyclic Consistency Meets Temporal Correspondence | 47 | cvpr | 11 | 6 | 2023-06-03 02:44:35.726000 | https://github.com/flyywh/CVPR-2020-Self-Rain-Removal | 46 | Self-learning video rain streak removal: When cyclic consistency meets temporal correspondence | https://scholar.google.com/scholar?cluster=17794942426853779059&hl=en&as_sdt=0,5 | 3 | 2,020 |
Going Deeper With Lean Point Networks | 23 | cvpr | 9 | 9 | 2023-06-03 02:44:35.928000 | https://github.com/erictuanle/GoingDeeperwPointNetworks | 60 | Going deeper with lean point networks | https://scholar.google.com/scholar?cluster=12165344201622069206&hl=en&as_sdt=0,44 | 9 | 2,020 |
CARP: Compression Through Adaptive Recursive Partitioning for Multi-Dimensional Images | 1 | cvpr | 1 | 0 | 2023-06-03 02:44:36.130000 | https://github.com/xylimeng/CARP | 4 | CARP: Compression through adaptive recursive partitioning for multi-dimensional images | https://scholar.google.com/scholar?cluster=17912611468134676639&hl=en&as_sdt=0,22 | 3 | 2,020 |
Semantic Image Manipulation Using Scene Graphs | 75 | cvpr | 15 | 3 | 2023-06-03 02:44:36.331000 | https://github.com/he-dhamo/simsg | 53 | Semantic image manipulation using scene graphs | https://scholar.google.com/scholar?cluster=6895435036117557713&hl=en&as_sdt=0,5 | 4 | 2,020 |
Memory Enhanced Global-Local Aggregation for Video Object Detection | 215 | cvpr | 112 | 64 | 2023-06-03 02:44:36.533000 | https://github.com/Scalsol/mega.pytorch | 539 | Memory enhanced global-local aggregation for video object detection | https://scholar.google.com/scholar?cluster=2075183739030592763&hl=en&as_sdt=0,5 | 18 | 2,020 |
How to Train Your Deep Multi-Object Tracker | 175 | cvpr | 82 | 4 | 2023-06-03 02:44:36.733000 | https://github.com/yihongXU/deepMOT | 487 | How to train your deep multi-object tracker | https://scholar.google.com/scholar?cluster=8670462462759705121&hl=en&as_sdt=0,5 | 14 | 2,020 |
From Image Collections to Point Clouds With Self-Supervised Shape and Pose Networks | 20 | cvpr | 2 | 1 | 2023-06-03 02:44:36.935000 | https://github.com/val-iisc/ssl_3d_recon | 26 | From image collections to point clouds with self-supervised shape and pose networks | https://scholar.google.com/scholar?cluster=8872702247915090622&hl=en&as_sdt=0,5 | 7 | 2,020 |
Cascaded Deep Monocular 3D Human Pose Estimation With Evolutionary Training Data | 123 | cvpr | 42 | 4 | 2023-06-03 02:44:37.135000 | https://github.com/Nicholasli1995/EvoSkeleton | 306 | Cascaded deep monocular 3d human pose estimation with evolutionary training data | https://scholar.google.com/scholar?cluster=6560357466398755666&hl=en&as_sdt=0,36 | 12 | 2,020 |
Distilling Cross-Task Knowledge via Relationship Matching | 27 | cvpr | 8 | 1 | 2023-06-03 02:44:37.336000 | https://github.com/njulus/ReFilled | 47 | Distilling cross-task knowledge via relationship matching | https://scholar.google.com/scholar?cluster=9618992685652379911&hl=en&as_sdt=0,41 | 2 | 2,020 |
Subsets and Splits