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|---|---|---|---|---|---|---|---|---|---|---|---|
Representation Similarity Analysis for Efficient Task Taxonomy & Transfer Learning
| 100
|
cvpr
| 6
| 9
|
2023-06-03 02:19:01.337000
|
https://github.com/kshitijd20/RSA-CVPR19-release
| 24
|
Representation similarity analysis for efficient task taxonomy & transfer learning
|
https://scholar.google.com/scholar?cluster=11083483928699627897&hl=en&as_sdt=0,36
| 6
| 2,019
|
Progressive Image Deraining Networks: A Better and Simpler Baseline
| 578
|
cvpr
| 52
| 23
|
2023-06-03 02:19:01.538000
|
https://github.com/csdwren/PReNet
| 200
|
Progressive image deraining networks: A better and simpler baseline
|
https://scholar.google.com/scholar?cluster=11537285553279008829&hl=en&as_sdt=0,34
| 7
| 2,019
|
Object Counting and Instance Segmentation With Image-Level Supervision
| 99
|
cvpr
| 42
| 6
|
2023-06-03 02:19:01.738000
|
https://github.com/GuoleiSun/CountSeg
| 155
|
Object counting and instance segmentation with image-level supervision
|
https://scholar.google.com/scholar?cluster=13538740343173106848&hl=en&as_sdt=0,5
| 5
| 2,019
|
GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud
| 270
|
cvpr
| 20
| 3
|
2023-06-03 02:19:01.940000
|
https://github.com/ericyi/GSPN
| 89
|
Gspn: Generative shape proposal network for 3d instance segmentation in point cloud
|
https://scholar.google.com/scholar?cluster=197770165510054862&hl=en&as_sdt=0,3
| 7
| 2,019
|
Single Image Reflection Removal Exploiting Misaligned Training Data and Network Enhancements
| 115
|
cvpr
| 51
| 5
|
2023-06-03 02:19:02.140000
|
https://github.com/Vandermode/ERRNet
| 219
|
Single image reflection removal exploiting misaligned training data and network enhancements
|
https://scholar.google.com/scholar?cluster=14306355940650189000&hl=en&as_sdt=0,5
| 7
| 2,019
|
Compressing Convolutional Neural Networks via Factorized Convolutional Filters
| 96
|
cvpr
| 4
| 2
|
2023-06-03 02:19:02.341000
|
https://github.com/wubaoyuan/CNN-FCF-CVPR-2019
| 24
|
Compressing convolutional neural networks via factorized convolutional filters
|
https://scholar.google.com/scholar?cluster=482598369462314362&hl=en&as_sdt=0,44
| 2
| 2,019
|
A Local Block Coordinate Descent Algorithm for the CSC Model
| 50
|
cvpr
| 16
| 0
|
2023-06-03 02:19:02.542000
|
https://github.com/EvZissel/LoBCoD
| 29
|
A local block coordinate descent algorithm for the CSC model
|
https://scholar.google.com/scholar?cluster=7478959742684637648&hl=en&as_sdt=0,47
| 2
| 2,019
|
PCAN: 3D Attention Map Learning Using Contextual Information for Point Cloud Based Retrieval
| 147
|
cvpr
| 12
| 1
|
2023-06-03 02:19:02.742000
|
https://github.com/XLechter/PCAN
| 70
|
PCAN: 3D attention map learning using contextual information for point cloud based retrieval
|
https://scholar.google.com/scholar?cluster=9016390861743795252&hl=en&as_sdt=0,5
| 2
| 2,019
|
Discovering Fair Representations in the Data Domain
| 114
|
cvpr
| 0
| 2
|
2023-06-03 02:19:02.943000
|
https://github.com/predictive-analytics-lab/Data-Domain-Fairness
| 4
|
Discovering fair representations in the data domain
|
https://scholar.google.com/scholar?cluster=7406811945738630066&hl=en&as_sdt=0,47
| 2
| 2,019
|
Self-Supervised Spatio-Temporal Representation Learning for Videos by Predicting Motion and Appearance Statistics
| 201
|
cvpr
| 10
| 3
|
2023-06-03 02:19:03.145000
|
https://github.com/laura-wang/video_repres_mas
| 63
|
Self-supervised spatio-temporal representation learning for videos by predicting motion and appearance statistics
|
https://scholar.google.com/scholar?cluster=4125071649338402327&hl=en&as_sdt=0,22
| 7
| 2,019
|
Actor-Critic Instance Segmentation
| 13
|
cvpr
| 4
| 2
|
2023-06-03 02:19:03.348000
|
https://github.com/visinf/acis
| 17
|
Actor-critic instance segmentation
|
https://scholar.google.com/scholar?cluster=10107918392054632169&hl=en&as_sdt=0,5
| 6
| 2,019
|
Good News, Everyone! Context Driven Entity-Aware Captioning for News Images
| 109
|
cvpr
| 18
| 10
|
2023-06-03 02:19:03.548000
|
https://github.com/furkanbiten/GoodNews
| 116
|
Good news, everyone! context driven entity-aware captioning for news images
|
https://scholar.google.com/scholar?cluster=3470684972319721114&hl=en&as_sdt=0,27
| 8
| 2,019
|
Multi-Level Multimodal Common Semantic Space for Image-Phrase Grounding
| 63
|
cvpr
| 10
| 1
|
2023-06-03 02:19:03.749000
|
https://github.com/hassanhub/MultiGrounding
| 30
|
Multi-level multimodal common semantic space for image-phrase grounding
|
https://scholar.google.com/scholar?cluster=6461806921919353461&hl=en&as_sdt=0,5
| 3
| 2,019
|
Residual Regression With Semantic Prior for Crowd Counting
| 106
|
cvpr
| 5
| 2
|
2023-06-03 02:19:03.950000
|
https://github.com/jia-wan/ResidualRegression-pytorch
| 16
|
Residual regression with semantic prior for crowd counting
|
https://scholar.google.com/scholar?cluster=10737601878160272620&hl=en&as_sdt=0,6
| 2
| 2,019
|
Informative Object Annotations: Tell Me Something I Don't Know
| 3
|
cvpr
| 0
| 0
|
2023-06-03 02:19:04.151000
|
https://github.com/liorbracha/iota
| 0
|
Informative Object Annotations: Tell Me Something I Don't Know
|
https://scholar.google.com/scholar?cluster=5005547084014933732&hl=en&as_sdt=0,5
| 1
| 2,019
|
Adversarial Structure Matching for Structured Prediction Tasks
| 16
|
cvpr
| 2
| 0
|
2023-06-03 02:19:04.351000
|
https://github.com/twke18/Adversarial_Structure_Matching
| 11
|
Adversarial structure matching for structured prediction tasks
|
https://scholar.google.com/scholar?cluster=15898235672453930518&hl=en&as_sdt=0,10
| 5
| 2,019
|
Unsupervised Image Matching and Object Discovery as Optimization
| 60
|
cvpr
| 0
| 0
|
2023-06-03 02:19:04.552000
|
https://github.com/huyvvo/OSD
| 13
|
Unsupervised image matching and object discovery as optimization
|
https://scholar.google.com/scholar?cluster=5692088936488589654&hl=en&as_sdt=0,33
| 1
| 2,019
|
Vision-Based Navigation With Language-Based Assistance via Imitation Learning With Indirect Intervention
| 94
|
cvpr
| 14
| 0
|
2023-06-03 02:19:04.752000
|
https://github.com/debadeepta/vnla
| 60
|
Vision-based navigation with language-based assistance via imitation learning with indirect intervention
|
https://scholar.google.com/scholar?cluster=8625024317902722147&hl=en&as_sdt=0,33
| 9
| 2,019
|
Show, Control and Tell: A Framework for Generating Controllable and Grounded Captions
| 155
|
cvpr
| 59
| 13
|
2023-06-03 02:19:04.953000
|
https://github.com/aimagelab/show-control-and-tell
| 278
|
Show, control and tell: A framework for generating controllable and grounded captions
|
https://scholar.google.com/scholar?cluster=395364837651406081&hl=en&as_sdt=0,5
| 10
| 2,019
|
TOUCHDOWN: Natural Language Navigation and Spatial Reasoning in Visual Street Environments
| 282
|
cvpr
| 11
| 0
|
2023-06-03 02:19:05.154000
|
https://github.com/lil-lab/touchdown
| 78
|
Touchdown: Natural language navigation and spatial reasoning in visual street environments
|
https://scholar.google.com/scholar?cluster=2750266339730477598&hl=en&as_sdt=0,33
| 14
| 2,019
|
Towards VQA Models That Can Read
| 326
|
cvpr
| 926
| 137
|
2023-06-03 02:19:05.355000
|
https://github.com/facebookresearch/pythia
| 5,236
|
Towards vqa models that can read
|
https://scholar.google.com/scholar?cluster=17041161243010218128&hl=en&as_sdt=0,39
| 117
| 2,019
|
Associatively Segmenting Instances and Semantics in Point Clouds
| 209
|
cvpr
| 64
| 15
|
2023-06-03 02:19:05.556000
|
https://github.com/WXinlong/ASIS
| 243
|
Associatively segmenting instances and semantics in point clouds
|
https://scholar.google.com/scholar?cluster=13739004401786447102&hl=en&as_sdt=0,33
| 3
| 2,019
|
End-To-End Learned Random Walker for Seeded Image Segmentation
| 18
|
cvpr
| 2
| 0
|
2023-06-03 02:19:05.757000
|
https://github.com/hci-unihd/pytorch-LearnedRandomWalker
| 26
|
End-to-end learned random walker for seeded image segmentation
|
https://scholar.google.com/scholar?cluster=14205871461075910768&hl=en&as_sdt=0,5
| 3
| 2,019
|
Efficient Neural Network Compression
| 92
|
cvpr
| 1
| 0
|
2023-06-03 02:19:05.957000
|
https://github.com/Hyeji-Kim/ENC
| 22
|
Efficient neural network compression
|
https://scholar.google.com/scholar?cluster=2440997436241799897&hl=en&as_sdt=0,5
| 2
| 2,019
|
Explainable and Explicit Visual Reasoning Over Scene Graphs
| 187
|
cvpr
| 18
| 4
|
2023-06-03 02:19:06.168000
|
https://github.com/shijx12/XNM-Net
| 95
|
Explainable and explicit visual reasoning over scene graphs
|
https://scholar.google.com/scholar?cluster=8517395712319798436&hl=en&as_sdt=0,5
| 3
| 2,019
|
Transfer Learning via Unsupervised Task Discovery for Visual Question Answering
| 16
|
cvpr
| 4
| 0
|
2023-06-03 02:19:06.369000
|
https://github.com/HyeonwooNoh/vqa_task_discovery
| 32
|
Transfer learning via unsupervised task discovery for visual question answering
|
https://scholar.google.com/scholar?cluster=9442012245217169205&hl=en&as_sdt=0,43
| 4
| 2,019
|
Uncertainty Guided Multi-Scale Residual Learning-Using a Cycle Spinning CNN for Single Image De-Raining
| 194
|
cvpr
| 6
| 1
|
2023-06-03 02:19:06.569000
|
https://github.com/rajeevyasarla/UMRL--using-Cycle-Spinning
| 21
|
Uncertainty guided multi-scale residual learning-using a cycle spinning cnn for single image de-raining
|
https://scholar.google.com/scholar?cluster=14146589120712972884&hl=en&as_sdt=0,5
| 2
| 2,019
|
Dynamics Are Important for the Recognition of Equine Pain in Video
| 20
|
cvpr
| 8
| 1
|
2023-06-03 02:19:06.770000
|
https://github.com/sofiabroome/painface-recognition
| 24
|
Dynamics are important for the recognition of equine pain in video
|
https://scholar.google.com/scholar?cluster=2332358808596779162&hl=en&as_sdt=0,33
| 5
| 2,019
|
Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving
| 829
|
cvpr
| 206
| 23
|
2023-06-03 02:19:06.970000
|
https://github.com/mileyan/pseudo_lidar
| 908
|
Pseudo-lidar from visual depth estimation: Bridging the gap in 3d object detection for autonomous driving
|
https://scholar.google.com/scholar?cluster=10762721569852637212&hl=en&as_sdt=0,1
| 45
| 2,019
|
Metric Learning for Image Registration
| 80
|
cvpr
| 29
| 1
|
2023-06-03 02:19:07.170000
|
https://github.com/uncbiag/registration
| 245
|
Metric learning for image registration
|
https://scholar.google.com/scholar?cluster=5466190255647225576&hl=en&as_sdt=0,3
| 16
| 2,019
|
PointPillars: Fast Encoders for Object Detection From Point Clouds
| 2,074
|
cvpr
| 232
| 1
|
2023-06-03 02:19:07.371000
|
https://github.com/nutonomy/second.pytorch
| 888
|
Pointpillars: Fast encoders for object detection from point clouds
|
https://scholar.google.com/scholar?cluster=2548197935459779982&hl=en&as_sdt=0,5
| 62
| 2,019
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Large Scale High-Resolution Land Cover Mapping With Multi-Resolution Data
| 75
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cvpr
| 22
| 3
|
2023-06-03 02:19:07.571000
|
https://github.com/calebrob6/land-cover
| 82
|
Large scale high-resolution land cover mapping with multi-resolution data
|
https://scholar.google.com/scholar?cluster=485676681711658934&hl=en&as_sdt=0,5
| 4
| 2,019
|
Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training
| 352
|
cvpr
| 9
| 2
|
2023-06-03 02:19:07.772000
|
https://github.com/TencentYoutuResearch/PersonReID-Pyramid
| 21
|
Pyramidal person re-identification via multi-loss dynamic training
|
https://scholar.google.com/scholar?cluster=4672402664853334509&hl=en&as_sdt=0,47
| 4
| 2,019
|
Dual Super-Resolution Learning for Semantic Segmentation
| 120
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cvpr
| 7
| 2
|
2023-06-03 02:42:43.513000
|
https://github.com/wanglixilinx/DSRL
| 106
|
Dual super-resolution learning for semantic segmentation
|
https://scholar.google.com/scholar?cluster=9626575908232283019&hl=en&as_sdt=0,33
| 21
| 2,020
|
Deep Unfolding Network for Image Super-Resolution
| 375
|
cvpr
| 114
| 10
|
2023-06-03 02:42:43.714000
|
https://github.com/cszn/USRNet
| 775
|
Deep unfolding network for image super-resolution
|
https://scholar.google.com/scholar?cluster=15871370420804183123&hl=en&as_sdt=0,5
| 37
| 2,020
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Unsupervised Learning for Intrinsic Image Decomposition From a Single Image
| 76
|
cvpr
| 15
| 6
|
2023-06-03 02:42:43.932000
|
https://github.com/DreamtaleCore/USI3D
| 74
|
Unsupervised learning for intrinsic image decomposition from a single image
|
https://scholar.google.com/scholar?cluster=12246217488878001072&hl=en&as_sdt=0,32
| 3
| 2,020
|
Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference
| 102
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cvpr
| 14
| 12
|
2023-06-03 02:42:44.134000
|
https://github.com/thomasverelst/dynconv
| 120
|
Dynamic convolutions: Exploiting spatial sparsity for faster inference
|
https://scholar.google.com/scholar?cluster=7569188649826421763&hl=en&as_sdt=0,5
| 4
| 2,020
|
IDA-3D: Instance-Depth-Aware 3D Object Detection From Stereo Vision for Autonomous Driving
| 46
|
cvpr
| 15
| 0
|
2023-06-03 02:42:44.334000
|
https://github.com/swords123/IDA-3D
| 72
|
Ida-3d: Instance-depth-aware 3d object detection from stereo vision for autonomous driving
|
https://scholar.google.com/scholar?cluster=2719754974248434502&hl=en&as_sdt=0,36
| 6
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Forward and Backward Information Retention for Accurate Binary Neural Networks
| 229
|
cvpr
| 35
| 7
|
2023-06-03 02:42:44.534000
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https://github.com/htqin/IR-Net
| 162
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Forward and backward information retention for accurate binary neural networks
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https://scholar.google.com/scholar?cluster=17180565643358827499&hl=en&as_sdt=0,33
| 5
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KeypointNet: A Large-Scale 3D Keypoint Dataset Aggregated From Numerous Human Annotations
| 41
|
cvpr
| 14
| 2
|
2023-06-03 02:42:44.734000
|
https://github.com/qq456cvb/KeypointNet
| 124
|
Keypointnet: A large-scale 3d keypoint dataset aggregated from numerous human annotations
|
https://scholar.google.com/scholar?cluster=11800283893745484191&hl=en&as_sdt=0,36
| 8
| 2,020
|
Cooling-Shrinking Attack: Blinding the Tracker With Imperceptible Noises
| 56
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cvpr
| 6
| 6
|
2023-06-03 02:42:44.935000
|
https://github.com/MasterBin-IIAU/CSA
| 54
|
Cooling-shrinking attack: Blinding the tracker with imperceptible noises
|
https://scholar.google.com/scholar?cluster=18361255063345420357&hl=en&as_sdt=0,48
| 4
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|
Bridging the Gap Between Anchor-Based and Anchor-Free Detection via Adaptive Training Sample Selection
| 1,019
|
cvpr
| 161
| 20
|
2023-06-03 02:42:45.136000
|
https://github.com/sfzhang15/ATSS
| 1,038
|
Bridging the gap between anchor-based and anchor-free detection via adaptive training sample selection
|
https://scholar.google.com/scholar?cluster=11324600873272743514&hl=en&as_sdt=0,5
| 25
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|
Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution
| 130
|
cvpr
| 168
| 17
|
2023-06-03 02:42:45.336000
|
https://github.com/Mukosame/Zooming-Slow-Mo-CVPR-2020
| 852
|
Zooming slow-mo: Fast and accurate one-stage space-time video super-resolution
|
https://scholar.google.com/scholar?cluster=3907379195879536163&hl=en&as_sdt=0,31
| 30
| 2,020
|
Structure Aware Single-Stage 3D Object Detection From Point Cloud
| 383
|
cvpr
| 105
| 57
|
2023-06-03 02:42:45.536000
|
https://github.com/skyhehe123/SA-SSD
| 471
|
Structure aware single-stage 3d object detection from point cloud
|
https://scholar.google.com/scholar?cluster=4441951083249138696&hl=en&as_sdt=0,5
| 20
| 2,020
|
A Local-to-Global Approach to Multi-Modal Movie Scene Segmentation
| 86
|
cvpr
| 40
| 13
|
2023-06-03 02:42:45.736000
|
https://github.com/AnyiRao/SceneSeg
| 191
|
A local-to-global approach to multi-modal movie scene segmentation
|
https://scholar.google.com/scholar?cluster=592994252756538794&hl=en&as_sdt=0,5
| 8
| 2,020
|
Video to Events: Recycling Video Datasets for Event Cameras
| 112
|
cvpr
| 67
| 27
|
2023-06-03 02:42:45.937000
|
https://github.com/uzh-rpg/rpg_vid2e
| 233
|
Video to events: Recycling video datasets for event cameras
|
https://scholar.google.com/scholar?cluster=14107615774727791268&hl=en&as_sdt=0,14
| 23
| 2,020
|
Unsupervised Learning From Video With Deep Neural Embeddings
| 53
|
cvpr
| 15
| 9
|
2023-06-03 02:42:46.142000
|
https://github.com/neuroailab/VIE
| 79
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Unsupervised learning from video with deep neural embeddings
|
https://scholar.google.com/scholar?cluster=3746976281713793865&hl=en&as_sdt=0,41
| 5
| 2,020
|
Use the Force, Luke! Learning to Predict Physical Forces by Simulating Effects
| 36
|
cvpr
| 12
| 4
|
2023-06-03 02:42:46.343000
|
https://github.com/ehsanik/touchTorch
| 63
|
Use the force, luke! learning to predict physical forces by simulating effects
|
https://scholar.google.com/scholar?cluster=3630174886469941969&hl=en&as_sdt=0,33
| 2
| 2,020
|
A Unified Optimization Framework for Low-Rank Inducing Penalties
| 4
|
cvpr
| 0
| 0
|
2023-06-03 02:42:46.544000
|
https://github.com/marcusvaltonen/UnifiedFramework
| 0
|
A unified optimization framework for low-rank inducing penalties
|
https://scholar.google.com/scholar?cluster=7694607094687908138&hl=en&as_sdt=0,5
| 2
| 2,020
|
NeuralScale: Efficient Scaling of Neurons for Resource-Constrained Deep Neural Networks
| 15
|
cvpr
| 1
| 0
|
2023-06-03 02:42:46.744000
|
https://github.com/eugenelet/NeuralScale
| 22
|
Neuralscale: Efficient scaling of neurons for resource-constrained deep neural networks
|
https://scholar.google.com/scholar?cluster=16108079615293456149&hl=en&as_sdt=0,19
| 5
| 2,020
|
Cost Volume Pyramid Based Depth Inference for Multi-View Stereo
| 175
|
cvpr
| 33
| 18
|
2023-06-03 02:42:46.945000
|
https://github.com/JiayuYANG/CVP-MVSNet
| 220
|
Cost volume pyramid based depth inference for multi-view stereo
|
https://scholar.google.com/scholar?cluster=7347427476190421012&hl=en&as_sdt=0,24
| 11
| 2,020
|
Rethinking the Route Towards Weakly Supervised Object Localization
| 66
|
cvpr
| 19
| 0
|
2023-06-03 02:42:47.146000
|
https://github.com/tzzcl/PSOL
| 65
|
Rethinking the route towards weakly supervised object localization
|
https://scholar.google.com/scholar?cluster=16844557112615644004&hl=en&as_sdt=0,33
| 4
| 2,020
|
Transfer Learning From Synthetic to Real-Noise Denoising With Adaptive Instance Normalization
| 138
|
cvpr
| 14
| 10
|
2023-06-03 02:42:47.346000
|
https://github.com/terryoo/AINDNet
| 73
|
Transfer learning from synthetic to real-noise denoising with adaptive instance normalization
|
https://scholar.google.com/scholar?cluster=15871516082637294149&hl=en&as_sdt=0,6
| 6
| 2,020
|
Learning for Video Compression With Hierarchical Quality and Recurrent Enhancement
| 137
|
cvpr
| 17
| 0
|
2023-06-03 02:42:47.547000
|
https://github.com/RenYang-home/HLVC
| 119
|
Learning for video compression with hierarchical quality and recurrent enhancement
|
https://scholar.google.com/scholar?cluster=14996736321329218278&hl=en&as_sdt=0,5
| 12
| 2,020
|
Sub-Frame Appearance and 6D Pose Estimation of Fast Moving Objects
| 11
|
cvpr
| 4
| 0
|
2023-06-03 02:42:47.748000
|
https://github.com/rozumden/deblatting_python
| 20
|
Sub-frame appearance and 6d pose estimation of fast moving objects
|
https://scholar.google.com/scholar?cluster=15148426920849576029&hl=en&as_sdt=0,5
| 2
| 2,020
|
Violin: A Large-Scale Dataset for Video-and-Language Inference
| 51
|
cvpr
| 13
| 6
|
2023-06-03 02:42:47.948000
|
https://github.com/jimmy646/violin
| 147
|
Violin: A large-scale dataset for video-and-language inference
|
https://scholar.google.com/scholar?cluster=5273353532207843404&hl=en&as_sdt=0,5
| 11
| 2,020
|
Local Context Normalization: Revisiting Local Normalization
| 28
|
cvpr
| 2
| 4
|
2023-06-03 02:42:48.149000
|
https://github.com/anthonymlortiz/lcn
| 18
|
Local context normalization: Revisiting local normalization
|
https://scholar.google.com/scholar?cluster=16204558090215526984&hl=en&as_sdt=0,5
| 3
| 2,020
|
Flow2Stereo: Effective Self-Supervised Learning of Optical Flow and Stereo Matching
| 43
|
cvpr
| 0
| 4
|
2023-06-03 02:42:48.349000
|
https://github.com/ppliuboy/Flow2Stereo
| 54
|
Flow2stereo: Effective self-supervised learning of optical flow and stereo matching
|
https://scholar.google.com/scholar?cluster=13345498430401992330&hl=en&as_sdt=0,16
| 13
| 2,020
|
Tangent Images for Mitigating Spherical Distortion
| 66
|
cvpr
| 14
| 5
|
2023-06-03 02:42:48.549000
|
https://github.com/meder411/Tangent-Images
| 61
|
Tangent images for mitigating spherical distortion
|
https://scholar.google.com/scholar?cluster=7413500507564109350&hl=en&as_sdt=0,31
| 8
| 2,020
|
Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation
| 140
|
cvpr
| 12
| 1
|
2023-06-03 02:42:48.749000
|
https://github.com/Ha0Tang/LGGAN
| 134
|
Local class-specific and global image-level generative adversarial networks for semantic-guided scene generation
|
https://scholar.google.com/scholar?cluster=15314679110337952068&hl=en&as_sdt=0,10
| 11
| 2,020
|
Cascaded Deep Video Deblurring Using Temporal Sharpness Prior
| 108
|
cvpr
| 49
| 11
|
2023-06-03 02:42:48.950000
|
https://github.com/csbhr/CDVD-TSP
| 242
|
Cascaded deep video deblurring using temporal sharpness prior
|
https://scholar.google.com/scholar?cluster=65906966357560872&hl=en&as_sdt=0,33
| 8
| 2,020
|
xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation
| 105
|
cvpr
| 33
| 2
|
2023-06-03 02:42:49.150000
|
https://github.com/valeoai/xmuda
| 165
|
xmuda: Cross-modal unsupervised domain adaptation for 3d semantic segmentation
|
https://scholar.google.com/scholar?cluster=875082267491511443&hl=en&as_sdt=0,5
| 14
| 2,020
|
Deep Facial Non-Rigid Multi-View Stereo
| 47
|
cvpr
| 26
| 7
|
2023-06-03 02:42:49.351000
|
https://github.com/zqbai-jeremy/dfnrmvs
| 151
|
Deep facial non-rigid multi-view stereo
|
https://scholar.google.com/scholar?cluster=14710284482588255933&hl=en&as_sdt=0,33
| 11
| 2,020
|
SmallBigNet: Integrating Core and Contextual Views for Video Classification
| 76
|
cvpr
| 2
| 3
|
2023-06-03 02:42:49.552000
|
https://github.com/xhl-video/SmallBigNet
| 38
|
Smallbignet: Integrating core and contextual views for video classification
|
https://scholar.google.com/scholar?cluster=16616613355339499180&hl=en&as_sdt=0,10
| 7
| 2,020
|
Deep Shutter Unrolling Network
| 29
|
cvpr
| 5
| 7
|
2023-06-03 02:42:49.752000
|
https://github.com/ethliup/DeepUnrollNet
| 38
|
Deep shutter unrolling network
|
https://scholar.google.com/scholar?cluster=8907904738398714401&hl=en&as_sdt=0,18
| 2
| 2,020
|
Learning Geocentric Object Pose in Oblique Monocular Images
| 16
|
cvpr
| 10
| 0
|
2023-06-03 02:42:49.952000
|
https://github.com/pubgeo/monocular-geocentric-pose
| 45
|
Learning geocentric object pose in oblique monocular images
|
https://scholar.google.com/scholar?cluster=8090417501108406268&hl=en&as_sdt=0,5
| 8
| 2,020
|
DPGN: Distribution Propagation Graph Network for Few-Shot Learning
| 187
|
cvpr
| 38
| 18
|
2023-06-03 02:42:50.153000
|
https://github.com/megvii-research/DPGN
| 165
|
Dpgn: Distribution propagation graph network for few-shot learning
|
https://scholar.google.com/scholar?cluster=5187741069496682229&hl=en&as_sdt=0,22
| 12
| 2,020
|
Towards Learning Structure via Consensus for Face Segmentation and Parsing
| 13
|
cvpr
| 10
| 1
|
2023-06-03 02:42:50.353000
|
https://github.com/isi-vista/structure_via_consensus
| 55
|
Towards learning structure via consensus for face segmentation and parsing
|
https://scholar.google.com/scholar?cluster=948869340895967812&hl=en&as_sdt=0,41
| 6
| 2,020
|
Cross-Domain Document Object Detection: Benchmark Suite and Method
| 32
|
cvpr
| 4
| 7
|
2023-06-03 02:42:50.554000
|
https://github.com/kailigo/cddod
| 40
|
Cross-domain document object detection: Benchmark suite and method
|
https://scholar.google.com/scholar?cluster=11273124199360326736&hl=en&as_sdt=0,11
| 8
| 2,020
|
RoboTHOR: An Open Simulation-to-Real Embodied AI Platform
| 144
|
cvpr
| 195
| 201
|
2023-06-03 02:42:50.755000
|
https://github.com/allenai/ai2thor
| 825
|
Robothor: An open simulation-to-real embodied ai platform
|
https://scholar.google.com/scholar?cluster=12852310333821230905&hl=en&as_sdt=0,33
| 68
| 2,020
|
On Translation Invariance in CNNs: Convolutional Layers Can Exploit Absolute Spatial Location
| 190
|
cvpr
| 3
| 1
|
2023-06-03 02:42:50.955000
|
https://github.com/oskyhn/CNNs-Without-Borders
| 69
|
On translation invariance in cnns: Convolutional layers can exploit absolute spatial location
|
https://scholar.google.com/scholar?cluster=13756215989357813725&hl=en&as_sdt=0,47
| 11
| 2,020
|
Style Normalization and Restitution for Generalizable Person Re-Identification
| 235
|
cvpr
| 9
| 9
|
2023-06-03 02:42:51.159000
|
https://github.com/microsoft/SNR
| 60
|
Style normalization and restitution for generalizable person re-identification
|
https://scholar.google.com/scholar?cluster=16896347985638693525&hl=en&as_sdt=0,5
| 3
| 2,020
|
Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis
| 103
|
cvpr
| 11
| 1
|
2023-06-03 02:42:51.360000
|
https://github.com/autonomousvision/controllable_image_synthesis
| 66
|
Towards unsupervised learning of generative models for 3d controllable image synthesis
|
https://scholar.google.com/scholar?cluster=1217881837248907783&hl=en&as_sdt=0,5
| 17
| 2,020
|
Training Noise-Robust Deep Neural Networks via Meta-Learning
| 49
|
cvpr
| 2
| 0
|
2023-06-03 02:42:51.560000
|
https://github.com/ZhenWang-PhD/Training-Noise-Robust-Deep-Neural-Networks-via-Meta-Learning
| 19
|
Training noise-robust deep neural networks via meta-learning
|
https://scholar.google.com/scholar?cluster=4267319052292614392&hl=en&as_sdt=0,5
| 1
| 2,020
|
Exploit Clues From Views: Self-Supervised and Regularized Learning for Multiview Object Recognition
| 10
|
cvpr
| 7
| 0
|
2023-06-03 02:42:51.761000
|
https://github.com/chihhuiho/VISPE
| 12
|
Exploit clues from views: Self-supervised and regularized learning for multiview object recognition
|
https://scholar.google.com/scholar?cluster=3529830865988272132&hl=en&as_sdt=0,14
| 4
| 2,020
|
SampleNet: Differentiable Point Cloud Sampling
| 114
|
cvpr
| 40
| 0
|
2023-06-03 02:42:51.969000
|
https://github.com/itailang/SampleNet
| 322
|
Samplenet: Differentiable point cloud sampling
|
https://scholar.google.com/scholar?cluster=4879612133923428164&hl=en&as_sdt=0,18
| 8
| 2,020
|
Towards Transferable Targeted Attack
| 57
|
cvpr
| 0
| 0
|
2023-06-03 02:42:52.170000
|
https://github.com/TiJoy/Towards-Transferable-Targeted-Attack
| 10
|
Towards transferable targeted attack
|
https://scholar.google.com/scholar?cluster=12435512203496950441&hl=en&as_sdt=0,4
| 2
| 2,020
|
Supervised Raw Video Denoising With a Benchmark Dataset on Dynamic Scenes
| 80
|
cvpr
| 30
| 14
|
2023-06-03 02:42:52.370000
|
https://github.com/cao-cong/RViDeNet
| 165
|
Supervised raw video denoising with a benchmark dataset on dynamic scenes
|
https://scholar.google.com/scholar?cluster=668215183292873797&hl=en&as_sdt=0,5
| 13
| 2,020
|
Online Deep Clustering for Unsupervised Representation Learning
| 155
|
cvpr
| 409
| 38
|
2023-06-03 02:42:52.570000
|
https://github.com/open-mmlab/OpenSelfSup
| 2,762
|
Online deep clustering for unsupervised representation learning
|
https://scholar.google.com/scholar?cluster=6265301829446145393&hl=en&as_sdt=0,14
| 41
| 2,020
|
Graph Embedded Pose Clustering for Anomaly Detection
| 110
|
cvpr
| 16
| 11
|
2023-06-03 02:42:52.770000
|
https://github.com/amirmk89/gepc
| 68
|
Graph embedded pose clustering for anomaly detection
|
https://scholar.google.com/scholar?cluster=7277677910039981714&hl=en&as_sdt=0,33
| 7
| 2,020
|
FDA: Fourier Domain Adaptation for Semantic Segmentation
| 518
|
cvpr
| 67
| 19
|
2023-06-03 02:42:52.970000
|
https://github.com/YanchaoYang/FDA
| 395
|
Fda: Fourier domain adaptation for semantic segmentation
|
https://scholar.google.com/scholar?cluster=6939572614497399848&hl=en&as_sdt=0,5
| 7
| 2,020
|
Graph Structured Network for Image-Text Matching
| 142
|
cvpr
| 26
| 18
|
2023-06-03 02:42:53.170000
|
https://github.com/CrossmodalGroup/GSMN
| 151
|
Graph structured network for image-text matching
|
https://scholar.google.com/scholar?cluster=944787583936341960&hl=en&as_sdt=0,33
| 8
| 2,020
|
SynSin: End-to-End View Synthesis From a Single Image
| 255
|
cvpr
| 91
| 14
|
2023-06-03 02:42:53.370000
|
https://github.com/facebookresearch/synsin
| 613
|
Synsin: End-to-end view synthesis from a single image
|
https://scholar.google.com/scholar?cluster=8005682821434060108&hl=en&as_sdt=0,33
| 27
| 2,020
|
Instance Segmentation of Biological Images Using Harmonic Embeddings
| 34
|
cvpr
| 11
| 3
|
2023-06-03 02:42:53.571000
|
https://github.com/kulikovv/harmonic
| 52
|
Instance segmentation of biological images using harmonic embeddings
|
https://scholar.google.com/scholar?cluster=10346597625950322783&hl=en&as_sdt=0,33
| 7
| 2,020
|
HOPE-Net: A Graph-Based Model for Hand-Object Pose Estimation
| 137
|
cvpr
| 54
| 16
|
2023-06-03 02:42:53.771000
|
https://github.com/bardiadoosti/HOPE
| 252
|
Hope-net: A graph-based model for hand-object pose estimation
|
https://scholar.google.com/scholar?cluster=17486249697962556113&hl=en&as_sdt=0,5
| 17
| 2,020
|
Rethinking Zero-Shot Video Classification: End-to-End Training for Realistic Applications
| 96
|
cvpr
| 22
| 6
|
2023-06-03 02:42:53.971000
|
https://github.com/bbrattoli/ZeroShotVideoClassification
| 140
|
Rethinking zero-shot video classification: End-to-end training for realistic applications
|
https://scholar.google.com/scholar?cluster=5690120467042779129&hl=en&as_sdt=0,5
| 10
| 2,020
|
What You See is What You Get: Exploiting Visibility for 3D Object Detection
| 105
|
cvpr
| 16
| 2
|
2023-06-03 02:42:54.171000
|
https://github.com/peiyunh/wysiwyg
| 104
|
What you see is what you get: Exploiting visibility for 3d object detection
|
https://scholar.google.com/scholar?cluster=11892744876522525600&hl=en&as_sdt=0,11
| 11
| 2,020
|
A Multigrid Method for Efficiently Training Video Models
| 93
|
cvpr
| 1,143
| 348
|
2023-06-03 02:42:54.372000
|
https://github.com/facebookresearch/SlowFast
| 5,685
|
A multigrid method for efficiently training video models
|
https://scholar.google.com/scholar?cluster=2801918111473713808&hl=en&as_sdt=0,39
| 97
| 2,020
|
Visual Grounding in Video for Unsupervised Word Translation
| 44
|
cvpr
| 8
| 1
|
2023-06-03 02:42:54.572000
|
https://github.com/gsig/visual-grounding
| 40
|
Visual grounding in video for unsupervised word translation
|
https://scholar.google.com/scholar?cluster=15024758484722184628&hl=en&as_sdt=0,5
| 8
| 2,020
|
Deep 3D Portrait From a Single Image
| 38
|
cvpr
| 68
| 6
|
2023-06-03 02:42:54.773000
|
https://github.com/sicxu/Deep3dPortrait
| 342
|
Deep 3d portrait from a single image
|
https://scholar.google.com/scholar?cluster=3806982893174696653&hl=en&as_sdt=0,47
| 26
| 2,020
|
Learning Individual Speaking Styles for Accurate Lip to Speech Synthesis
| 70
|
cvpr
| 135
| 17
|
2023-06-03 02:42:54.973000
|
https://github.com/Rudrabha/Lip2Wav
| 615
|
Learning individual speaking styles for accurate lip to speech synthesis
|
https://scholar.google.com/scholar?cluster=13502787711988666633&hl=en&as_sdt=0,2
| 27
| 2,020
|
PPDM: Parallel Point Detection and Matching for Real-Time Human-Object Interaction Detection
| 174
|
cvpr
| 43
| 6
|
2023-06-03 02:42:55.174000
|
https://github.com/YueLiao/PPDM
| 198
|
Ppdm: Parallel point detection and matching for real-time human-object interaction detection
|
https://scholar.google.com/scholar?cluster=6282076644108174284&hl=en&as_sdt=0,33
| 11
| 2,020
|
Adversarial Latent Autoencoders
| 198
|
cvpr
| 557
| 36
|
2023-06-03 02:42:55.374000
|
https://github.com/podgorskiy/ALAE
| 3,419
|
Adversarial latent autoencoders
|
https://scholar.google.com/scholar?cluster=4723740871272276219&hl=en&as_sdt=0,47
| 88
| 2,020
|
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
| 372
|
cvpr
| 1,468
| 58
|
2023-06-03 02:42:55.574000
|
https://github.com/adamian98/pulse
| 7,322
|
Pulse: Self-supervised photo upsampling via latent space exploration of generative models
|
https://scholar.google.com/scholar?cluster=15370347097554476132&hl=en&as_sdt=0,39
| 225
| 2,020
|
MANTRA: Memory Augmented Networks for Multiple Trajectory Prediction
| 76
|
cvpr
| 13
| 2
|
2023-06-03 02:42:55.775000
|
https://github.com/Marchetz/MANTRA-CVPR20
| 62
|
Mantra: Memory augmented networks for multiple trajectory prediction
|
https://scholar.google.com/scholar?cluster=4210995734400618554&hl=en&as_sdt=0,5
| 3
| 2,020
|
Counterfactual Samples Synthesizing for Robust Visual Question Answering
| 218
|
cvpr
| 18
| 8
|
2023-06-03 02:42:55.975000
|
https://github.com/yanxinzju/CSS-VQA
| 72
|
Counterfactual samples synthesizing for robust visual question answering
|
https://scholar.google.com/scholar?cluster=11059606861371208469&hl=en&as_sdt=0,34
| 2
| 2,020
|
Inter-Region Affinity Distillation for Road Marking Segmentation
| 79
|
cvpr
| 20
| 15
|
2023-06-03 02:42:56.175000
|
https://github.com/cardwing/Codes-for-IntRA-KD
| 106
|
Inter-region affinity distillation for road marking segmentation
|
https://scholar.google.com/scholar?cluster=9537126389588928700&hl=en&as_sdt=0,14
| 5
| 2,020
|
GhostNet: More Features From Cheap Operations
| 1,429
|
cvpr
| 648
| 59
|
2023-06-03 02:42:56.376000
|
https://github.com/huawei-noah/ghostnet
| 3,301
|
Ghostnet: More features from cheap operations
|
https://scholar.google.com/scholar?cluster=9871260588333635525&hl=en&as_sdt=0,34
| 47
| 2,020
|
A2dele: Adaptive and Attentive Depth Distiller for Efficient RGB-D Salient Object Detection
| 171
|
cvpr
| 6
| 0
|
2023-06-03 02:42:56.577000
|
https://github.com/OIPLab-DUT/CVPR2020-A2dele
| 39
|
A2dele: Adaptive and attentive depth distiller for efficient RGB-D salient object detection
|
https://scholar.google.com/scholar?cluster=16876628898908447383&hl=en&as_sdt=0,5
| 2
| 2,020
|
SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization
| 159
|
cvpr
| 15
| 9
|
2023-06-03 02:42:56.777000
|
https://github.com/YueJiang-nj/CVPR2020-SDFDiff
| 234
|
Sdfdiff: Differentiable rendering of signed distance fields for 3d shape optimization
|
https://scholar.google.com/scholar?cluster=14066639183053244029&hl=en&as_sdt=0,5
| 10
| 2,020
|
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