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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 |
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