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GAN Prior Embedded Network for Blind Face Restoration in the Wild
| 114 |
cvpr
| 398 | 96 |
2023-06-03 14:28:49.139000
|
https://github.com/yangxy/GPEN
| 1,966 |
Gan prior embedded network for blind face restoration in the wild
|
https://scholar.google.com/scholar?cluster=13614110850816025937&hl=en&as_sdt=0,33
| 56 | 2,021 |
OPANAS: One-Shot Path Aggregation Network Architecture Search for Object Detection
| 36 |
cvpr
| 5 | 10 |
2023-06-03 14:28:49.332000
|
https://github.com/VDIGPKU/OPANAS
| 43 |
Opanas: One-shot path aggregation network architecture search for object detection
|
https://scholar.google.com/scholar?cluster=17614105059584946104&hl=en&as_sdt=0,5
| 4 | 2,021 |
AutoInt: Automatic Integration for Fast Neural Volume Rendering
| 143 |
cvpr
| 19 | 0 |
2023-06-03 14:28:49.526000
|
https://github.com/computational-imaging/automatic-integration
| 165 |
Autoint: Automatic integration for fast neural volume rendering
|
https://scholar.google.com/scholar?cluster=4848577432262489185&hl=en&as_sdt=0,5
| 13 | 2,021 |
The Lottery Ticket Hypothesis for Object Recognition
| 43 |
cvpr
| 1 | 4 |
2023-06-03 14:28:49.719000
|
https://github.com/Sharath-girish/LTH-ObjectRecognition
| 18 |
The lottery ticket hypothesis for object recognition
|
https://scholar.google.com/scholar?cluster=11434363513543078883&hl=en&as_sdt=0,10
| 4 | 2,021 |
Pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis
| 446 |
cvpr
| 76 | 27 |
2023-06-03 14:28:49.919000
|
https://github.com/marcoamonteiro/pi-GAN
| 393 |
pi-gan: Periodic implicit generative adversarial networks for 3d-aware image synthesis
|
https://scholar.google.com/scholar?cluster=5520148630577999505&hl=en&as_sdt=0,41
| 11 | 2,021 |
Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking
| 305 |
cvpr
| 41 | 16 |
2023-06-03 14:28:50.112000
|
https://github.com/594422814/TransformerTrack
| 245 |
Transformer meets tracker: Exploiting temporal context for robust visual tracking
|
https://scholar.google.com/scholar?cluster=9233219793813194550&hl=en&as_sdt=0,5
| 5 | 2,021 |
Slimmable Compressive Autoencoders for Practical Neural Image Compression
| 38 |
cvpr
| 2 | 3 |
2023-06-03 14:28:50.306000
|
https://github.com/FireFYF/SlimCAE
| 38 |
Slimmable compressive autoencoders for practical neural image compression
|
https://scholar.google.com/scholar?cluster=5676193261669468177&hl=en&as_sdt=0,5
| 2 | 2,021 |
Transformer Tracking
| 508 |
cvpr
| 97 | 46 |
2023-06-03 14:28:50.499000
|
https://github.com/chenxin-dlut/TransT
| 496 |
Transformer tracking
|
https://scholar.google.com/scholar?cluster=10722665686456251008&hl=en&as_sdt=0,14
| 9 | 2,021 |
Equivariant Point Network for 3D Point Cloud Analysis
| 56 |
cvpr
| 7 | 3 |
2023-06-03 14:28:50.693000
|
https://github.com/nintendops/EPN_PointCloud
| 88 |
Equivariant point network for 3d point cloud analysis
|
https://scholar.google.com/scholar?cluster=4127793259562200898&hl=en&as_sdt=0,33
| 5 | 2,021 |
Structured Scene Memory for Vision-Language Navigation
| 61 |
cvpr
| 7 | 4 |
2023-06-03 14:28:50.886000
|
https://github.com/HanqingWangAI/SSM-VLN
| 34 |
Structured scene memory for vision-language navigation
|
https://scholar.google.com/scholar?cluster=15348911801382495252&hl=en&as_sdt=0,33
| 2 | 2,021 |
Depth Completion With Twin Surface Extrapolation at Occlusion Boundaries
| 39 |
cvpr
| 7 | 5 |
2023-06-03 14:28:51.081000
|
https://github.com/imransai/TWISE
| 42 |
Depth completion with twin surface extrapolation at occlusion boundaries
|
https://scholar.google.com/scholar?cluster=14151538568708825284&hl=en&as_sdt=0,1
| 2 | 2,021 |
Self-Attention Based Text Knowledge Mining for Text Detection
| 20 |
cvpr
| 3 | 3 |
2023-06-03 14:28:51.273000
|
https://github.com/CVI-SZU/STKM
| 41 |
Self-attention based text knowledge mining for text detection
|
https://scholar.google.com/scholar?cluster=10173785649147986287&hl=en&as_sdt=0,33
| 5 | 2,021 |
ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic
| 82 |
cvpr
| 41 | 3 |
2023-06-03 14:28:51.467000
|
https://github.com/Xiangtaokong/ClassSR
| 325 |
Classsr: A general framework to accelerate super-resolution networks by data characteristic
|
https://scholar.google.com/scholar?cluster=15500329011658079939&hl=en&as_sdt=0,40
| 3 | 2,021 |
Learning the Superpixel in a Non-Iterative and Lifelong Manner
| 18 |
cvpr
| 16 | 13 |
2023-06-03 14:28:51.661000
|
https://github.com/zh460045050/LNSNet
| 44 |
Learning the superpixel in a non-iterative and lifelong manner
|
https://scholar.google.com/scholar?cluster=7645654626633181885&hl=en&as_sdt=0,39
| 2 | 2,021 |
Efficient Initial Pose-Graph Generation for Global SfM
| 15 |
cvpr
| 8 | 2 |
2023-06-03 14:28:51.854000
|
https://github.com/danini/pose-graph-initialization
| 41 |
Efficient initial pose-graph generation for global sfm
|
https://scholar.google.com/scholar?cluster=10390214568687825189&hl=en&as_sdt=0,5
| 12 | 2,021 |
Distractor-Aware Fast Tracking via Dynamic Convolutions and MOT Philosophy
| 19 |
cvpr
| 2 | 3 |
2023-06-03 14:28:52.049000
|
https://github.com/hqucv/dmtrack
| 21 |
Distractor-aware fast tracking via dynamic convolutions and mot philosophy
|
https://scholar.google.com/scholar?cluster=13442299740744634912&hl=en&as_sdt=0,5
| 8 | 2,021 |
Distilling Audio-Visual Knowledge by Compositional Contrastive Learning
| 44 |
cvpr
| 11 | 2 |
2023-06-03 14:28:52.242000
|
https://github.com/yanbeic/CCL
| 77 |
Distilling audio-visual knowledge by compositional contrastive learning
|
https://scholar.google.com/scholar?cluster=17588021199787406593&hl=en&as_sdt=0,33
| 5 | 2,021 |
MonoRUn: Monocular 3D Object Detection by Reconstruction and Uncertainty Propagation
| 68 |
cvpr
| 10 | 0 |
2023-06-03 14:28:52.436000
|
https://github.com/tjiiv-cprg/MonoRUn
| 98 |
Monorun: Monocular 3d object detection by reconstruction and uncertainty propagation
|
https://scholar.google.com/scholar?cluster=11633936977756915168&hl=en&as_sdt=0,5
| 8 | 2,021 |
Differentiable Multi-Granularity Human Representation Learning for Instance-Aware Human Semantic Parsing
| 55 |
cvpr
| 7 | 7 |
2023-06-03 14:28:52.630000
|
https://github.com/tfzhou/MG-HumanParsing
| 73 |
Differentiable multi-granularity human representation learning for instance-aware human semantic parsing
|
https://scholar.google.com/scholar?cluster=10601974880031634539&hl=en&as_sdt=0,9
| 13 | 2,021 |
Neural Body: Implicit Neural Representations With Structured Latent Codes for Novel View Synthesis of Dynamic Humans
| 315 |
cvpr
| 125 | 0 |
2023-06-03 14:28:52.824000
|
https://github.com/zju3dv/neuralbody
| 804 |
Neural body: Implicit neural representations with structured latent codes for novel view synthesis of dynamic humans
|
https://scholar.google.com/scholar?cluster=9135636288565980674&hl=en&as_sdt=0,44
| 42 | 2,021 |
Virtual Fully-Connected Layer: Training a Large-Scale Face Recognition Dataset With Limited Computational Resources
| 12 |
cvpr
| 2 | 6 |
2023-06-03 14:28:53.019000
|
https://github.com/pengyuLPY/Virtual-Fully-Connected-Layer
| 21 |
Virtual fully-connected layer: Training a large-scale face recognition dataset with limited computational resources
|
https://scholar.google.com/scholar?cluster=12479292701668402823&hl=en&as_sdt=0,47
| 2 | 2,021 |
One Shot Face Swapping on Megapixels
| 79 |
cvpr
| 36 | 22 |
2023-06-03 14:28:53.213000
|
https://github.com/zyainfal/One-Shot-Face-Swapping-on-Megapixels
| 271 |
One shot face swapping on megapixels
|
https://scholar.google.com/scholar?cluster=2088011683119816417&hl=en&as_sdt=0,21
| 16 | 2,021 |
Learning Delaunay Surface Elements for Mesh Reconstruction
| 20 |
cvpr
| 12 | 1 |
2023-06-03 14:28:53.407000
|
https://github.com/mrakotosaon/dse-meshing
| 38 |
Learning delaunay surface elements for mesh reconstruction
|
https://scholar.google.com/scholar?cluster=16915408577903371249&hl=en&as_sdt=0,5
| 6 | 2,021 |
PAConv: Position Adaptive Convolution With Dynamic Kernel Assembling on Point Clouds
| 218 |
cvpr
| 37 | 4 |
2023-06-03 14:28:53.603000
|
https://github.com/CVMI-Lab/PAConv
| 245 |
Paconv: Position adaptive convolution with dynamic kernel assembling on point clouds
|
https://scholar.google.com/scholar?cluster=8457792520671281421&hl=en&as_sdt=0,48
| 7 | 2,021 |
Predicting Human Scanpaths in Visual Question Answering
| 18 |
cvpr
| 3 | 0 |
2023-06-03 14:28:53.796000
|
https://github.com/chenxy99/Scanpaths
| 14 |
Predicting human scanpaths in visual question answering
|
https://scholar.google.com/scholar?cluster=8570058457085367295&hl=en&as_sdt=0,5
| 2 | 2,021 |
DetectoRS: Detecting Objects With Recursive Feature Pyramid and Switchable Atrous Convolution
| 495 |
cvpr
| 188 | 50 |
2023-06-03 14:28:53.990000
|
https://github.com/joe-siyuan-qiao/DetectoRS
| 1,118 |
Detectors: Detecting objects with recursive feature pyramid and switchable atrous convolution
|
https://scholar.google.com/scholar?cluster=3466946125865762121&hl=en&as_sdt=0,33
| 36 | 2,021 |
Monte Carlo Scene Search for 3D Scene Understanding
| 11 |
cvpr
| 2 | 1 |
2023-06-03 14:28:54.184000
|
https://github.com/vevenom/MonteScene
| 17 |
Monte Carlo scene search for 3D scene understanding
|
https://scholar.google.com/scholar?cluster=1260848938814070643&hl=en&as_sdt=0,3
| 5 | 2,021 |
MIST: Multiple Instance Spatial Transformer
| 7 |
cvpr
| 1 | 0 |
2023-06-03 14:28:54.376000
|
https://github.com/ubc-vision/mist
| 25 |
MIST: Multiple instance spatial transformer
|
https://scholar.google.com/scholar?cluster=1866821344209049802&hl=en&as_sdt=0,5
| 3 | 2,021 |
Human POSEitioning System (HPS): 3D Human Pose Estimation and Self-Localization in Large Scenes From Body-Mounted Sensors
| 52 |
cvpr
| 12 | 1 |
2023-06-03 14:28:54.570000
|
https://github.com/aymenmir1/hps
| 72 |
Human poseitioning system (hps): 3d human pose estimation and self-localization in large scenes from body-mounted sensors
|
https://scholar.google.com/scholar?cluster=3530345321739728254&hl=en&as_sdt=0,10
| 6 | 2,021 |
Unsupervised Pre-Training for Person Re-Identification
| 68 |
cvpr
| 22 | 8 |
2023-06-03 14:28:54.763000
|
https://github.com/DengpanFu/LUPerson
| 158 |
Unsupervised pre-training for person re-identification
|
https://scholar.google.com/scholar?cluster=9308264680885243047&hl=en&as_sdt=0,14
| 7 | 2,021 |
Rethinking Channel Dimensions for Efficient Model Design
| 48 |
cvpr
| 63 | 2 |
2023-06-03 14:28:54.957000
|
https://github.com/clovaai/rexnet
| 444 |
Rethinking channel dimensions for efficient model design
|
https://scholar.google.com/scholar?cluster=14969696303509372057&hl=en&as_sdt=0,33
| 16 | 2,021 |
Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation
| 232 |
cvpr
| 167 | 51 |
2023-06-03 14:28:55.150000
|
https://github.com/xinge008/Cylinder3D
| 707 |
Cylindrical and asymmetrical 3d convolution networks for lidar segmentation
|
https://scholar.google.com/scholar?cluster=428342647351348811&hl=en&as_sdt=0,5
| 15 | 2,021 |
DCT-Mask: Discrete Cosine Transform Mask Representation for Instance Segmentation
| 41 |
cvpr
| 6 | 6 |
2023-06-03 14:28:55.343000
|
https://github.com/aliyun/DCT-Mask
| 66 |
Dct-mask: Discrete cosine transform mask representation for instance segmentation
|
https://scholar.google.com/scholar?cluster=16116062821910974025&hl=en&as_sdt=0,33
| 6 | 2,021 |
Dynamic Domain Adaptation for Efficient Inference
| 8 |
cvpr
| 8 | 1 |
2023-06-03 14:28:55.537000
|
https://github.com/BIT-DA/DDA
| 28 |
Dynamic domain adaptation for efficient inference
|
https://scholar.google.com/scholar?cluster=17885613617005564756&hl=en&as_sdt=0,23
| 1 | 2,021 |
Learning To Recommend Frame for Interactive Video Object Segmentation in the Wild
| 8 |
cvpr
| 4 | 1 |
2023-06-03 14:28:55.736000
|
https://github.com/svip-lab/IVOS-W
| 44 |
Learning to recommend frame for interactive video object segmentation in the wild
|
https://scholar.google.com/scholar?cluster=5011051962198707605&hl=en&as_sdt=0,5
| 6 | 2,021 |
Re-Labeling ImageNet: From Single to Multi-Labels, From Global to Localized Labels
| 95 |
cvpr
| 39 | 2 |
2023-06-03 14:28:55.929000
|
https://github.com/naver-ai/relabel_imagenet
| 377 |
Re-labeling imagenet: from single to multi-labels, from global to localized labels
|
https://scholar.google.com/scholar?cluster=12310992157550430603&hl=en&as_sdt=0,36
| 11 | 2,021 |
Interventional Video Grounding With Dual Contrastive Learning
| 80 |
cvpr
| 0 | 7 |
2023-06-03 14:28:56.124000
|
https://github.com/nanguoshun/IVG
| 7 |
Interventional video grounding with dual contrastive learning
|
https://scholar.google.com/scholar?cluster=2403210337017808628&hl=en&as_sdt=0,5
| 5 | 2,021 |
GMOT-40: A Benchmark for Generic Multiple Object Tracking
| 14 |
cvpr
| 2 | 0 |
2023-06-03 14:28:56.318000
|
https://github.com/Spritea/GMOT40
| 39 |
Gmot-40: A benchmark for generic multiple object tracking
|
https://scholar.google.com/scholar?cluster=11014649565197412325&hl=en&as_sdt=0,11
| 3 | 2,021 |
Cross Modal Focal Loss for RGBD Face Anti-Spoofing
| 56 |
cvpr
| 0 | 0 |
2023-06-03 14:28:56.512000
|
https://github.com/anjith2006/bob.paper.cross_modal_focal_loss_cvpr2021
| 10 |
Cross modal focal loss for rgbd face anti-spoofing
|
https://scholar.google.com/scholar?cluster=12940960528013032461&hl=en&as_sdt=0,33
| 2 | 2,021 |
Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd Counting
| 72 |
cvpr
| 9 | 4 |
2023-06-03 14:28:56.706000
|
https://github.com/chen-judge/RGBTCrowdCounting
| 45 |
Cross-modal collaborative representation learning and a large-scale rgbt benchmark for crowd counting
|
https://scholar.google.com/scholar?cluster=6548341927243916638&hl=en&as_sdt=0,15
| 4 | 2,021 |
Tangent Space Backpropagation for 3D Transformation Groups
| 22 |
cvpr
| 36 | 19 |
2023-06-03 14:28:56.899000
|
https://github.com/princeton-vl/lietorch
| 535 |
Tangent space backpropagation for 3d transformation groups
|
https://scholar.google.com/scholar?cluster=10038910471790624583&hl=en&as_sdt=0,40
| 15 | 2,021 |
Cross-Modal Contrastive Learning for Text-to-Image Generation
| 178 |
cvpr
| 14 | 19 |
2023-06-03 14:28:57.093000
|
https://github.com/google-research/xmcgan_image_generation
| 98 |
Cross-modal contrastive learning for text-to-image generation
|
https://scholar.google.com/scholar?cluster=6680839752426556602&hl=en&as_sdt=0,14
| 4 | 2,021 |
Few-Shot Classification With Feature Map Reconstruction Networks
| 124 |
cvpr
| 15 | 1 |
2023-06-03 14:28:57.286000
|
https://github.com/Tsingularity/FRN
| 82 |
Few-shot classification with feature map reconstruction networks
|
https://scholar.google.com/scholar?cluster=16309286926460217904&hl=en&as_sdt=0,5
| 4 | 2,021 |
Image Super-Resolution With Non-Local Sparse Attention
| 207 |
cvpr
| 16 | 2 |
2023-06-03 14:28:57.480000
|
https://github.com/HarukiYqM/Non-Local-Sparse-Attention
| 152 |
Image super-resolution with non-local sparse attention
|
https://scholar.google.com/scholar?cluster=1709843943888104380&hl=en&as_sdt=0,5
| 3 | 2,021 |
SMPLicit: Topology-Aware Generative Model for Clothed People
| 106 |
cvpr
| 27 | 13 |
2023-06-03 14:28:57.673000
|
https://github.com/enriccorona/SMPLicit
| 235 |
Smplicit: Topology-aware generative model for clothed people
|
https://scholar.google.com/scholar?cluster=9252689260924385414&hl=en&as_sdt=0,5
| 10 | 2,021 |
SCANimate: Weakly Supervised Learning of Skinned Clothed Avatar Networks
| 140 |
cvpr
| 29 | 7 |
2023-06-03 14:28:57.867000
|
https://github.com/shunsukesaito/SCANimate
| 253 |
SCANimate: Weakly supervised learning of skinned clothed avatar networks
|
https://scholar.google.com/scholar?cluster=17897461219740040607&hl=en&as_sdt=0,5
| 10 | 2,021 |
Categorical Depth Distribution Network for Monocular 3D Object Detection
| 231 |
cvpr
| 59 | 22 |
2023-06-03 14:28:58.060000
|
https://github.com/TRAILab/CaDDN
| 311 |
Categorical depth distribution network for monocular 3d object detection
|
https://scholar.google.com/scholar?cluster=24498449239586378&hl=en&as_sdt=0,39
| 5 | 2,021 |
Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization
| 17 |
cvpr
| 7,286 | 1,013 |
2023-06-03 14:28:58.254000
|
https://github.com/google-research/google-research
| 29,546 |
Learning view-disentangled human pose representation by contrastive cross-view mutual information maximization
|
https://scholar.google.com/scholar?cluster=2922115036876098901&hl=en&as_sdt=0,23
| 726 | 2,021 |
Towards Long-Form Video Understanding
| 64 |
cvpr
| 7 | 5 |
2023-06-03 14:28:58.447000
|
https://github.com/chaoyuaw/lvu
| 71 |
Towards long-form video understanding
|
https://scholar.google.com/scholar?cluster=10827722935938975238&hl=en&as_sdt=0,10
| 2 | 2,021 |
On Semantic Similarity in Video Retrieval
| 42 |
cvpr
| 2 | 0 |
2023-06-03 14:28:58.641000
|
https://github.com/mwray/Semantic-Video-Retrieval
| 53 |
On semantic similarity in video retrieval
|
https://scholar.google.com/scholar?cluster=10863589681444958355&hl=en&as_sdt=0,14
| 9 | 2,021 |
Noise-Resistant Deep Metric Learning With Ranking-Based Instance Selection
| 27 |
cvpr
| 5 | 1 |
2023-06-03 14:28:58.834000
|
https://github.com/alibaba-edu/Ranking-based-Instance-Selection
| 29 |
Noise-resistant deep metric learning with ranking-based instance selection
|
https://scholar.google.com/scholar?cluster=3956427373032683933&hl=en&as_sdt=0,3
| 3 | 2,021 |
Representation Learning via Global Temporal Alignment and Cycle-Consistency
| 32 |
cvpr
| 4 | 5 |
2023-06-03 14:28:59.027000
|
https://github.com/hadjisma/VideoAlignment
| 42 |
Representation learning via global temporal alignment and cycle-consistency
|
https://scholar.google.com/scholar?cluster=6263659697815819074&hl=en&as_sdt=0,14
| 7 | 2,021 |
Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search
| 16 |
cvpr
| 0 | 0 |
2023-06-03 14:28:59.221000
|
https://github.com/kcyu2014/nas-landmarkreg
| 9 |
Landmark regularization: Ranking guided super-net training in neural architecture search
|
https://scholar.google.com/scholar?cluster=4693351170344874099&hl=en&as_sdt=0,5
| 2 | 2,021 |
End-to-End Human Pose and Mesh Reconstruction with Transformers
| 339 |
cvpr
| 88 | 18 |
2023-06-03 14:28:59.414000
|
https://github.com/microsoft/MeshTransformer
| 521 |
End-to-end human pose and mesh reconstruction with transformers
|
https://scholar.google.com/scholar?cluster=12956114412627599893&hl=en&as_sdt=0,14
| 17 | 2,021 |
When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework
| 50 |
cvpr
| 30 | 3 |
2023-06-03 14:28:59.608000
|
https://github.com/Hzzone/MTLFace
| 131 |
When age-invariant face recognition meets face age synthesis: A multi-task learning framework
|
https://scholar.google.com/scholar?cluster=13757601612779033095&hl=en&as_sdt=0,46
| 9 | 2,021 |
Cross-Iteration Batch Normalization
| 88 |
cvpr
| 22 | 4 |
2023-06-03 14:28:59.801000
|
https://github.com/Howal/Cross-iterationBatchNorm
| 126 |
Cross-iteration batch normalization
|
https://scholar.google.com/scholar?cluster=3743158606346871914&hl=en&as_sdt=0,33
| 6 | 2,021 |
De-Rendering the World's Revolutionary Artefacts
| 16 |
cvpr
| 11 | 3 |
2023-06-03 14:28:59.994000
|
https://github.com/elliottwu/sorderender
| 52 |
De-rendering the world's revolutionary artefacts
|
https://scholar.google.com/scholar?cluster=637677617740599049&hl=en&as_sdt=0,24
| 6 | 2,021 |
Robust Instance Segmentation Through Reasoning About Multi-Object Occlusion
| 20 |
cvpr
| 8 | 2 |
2023-06-03 14:29:00.188000
|
https://github.com/XD7479/Multi-Object-Occlusion
| 26 |
Robust instance segmentation through reasoning about multi-object occlusion
|
https://scholar.google.com/scholar?cluster=13930657581866394608&hl=en&as_sdt=0,4
| 3 | 2,021 |
Progressively Complementary Network for Fisheye Image Rectification Using Appearance Flow
| 22 |
cvpr
| 5 | 8 |
2023-06-03 14:29:00.382000
|
https://github.com/uof1745-cmd/PCN
| 37 |
Progressively complementary network for fisheye image rectification using appearance flow
|
https://scholar.google.com/scholar?cluster=12233705436054244389&hl=en&as_sdt=0,5
| 3 | 2,021 |
BABEL: Bodies, Action and Behavior With English Labels
| 60 |
cvpr
| 6 | 0 |
2023-06-03 14:29:00.576000
|
https://github.com/abhinanda-punnakkal/BABEL
| 122 |
BABEL: bodies, action and behavior with English labels
|
https://scholar.google.com/scholar?cluster=4012164611659135605&hl=en&as_sdt=0,41
| 4 | 2,021 |
Back to the Feature: Learning Robust Camera Localization From Pixels To Pose
| 126 |
cvpr
| 87 | 20 |
2023-06-03 14:29:00.776000
|
https://github.com/cvg/pixloc
| 647 |
Back to the feature: Learning robust camera localization from pixels to pose
|
https://scholar.google.com/scholar?cluster=13820242433868080224&hl=en&as_sdt=0,39
| 50 | 2,021 |
From Rain Generation to Rain Removal
| 46 |
cvpr
| 16 | 5 |
2023-06-03 14:29:00.969000
|
https://github.com/hongwang01/VRGNet
| 50 |
From rain generation to rain removal
|
https://scholar.google.com/scholar?cluster=11428573310197006048&hl=en&as_sdt=0,5
| 2 | 2,021 |
Robust Multimodal Vehicle Detection in Foggy Weather Using Complementary Lidar and Radar Signals
| 55 |
cvpr
| 9 | 15 |
2023-06-03 14:29:01.163000
|
https://github.com/qiank10/MVDNet
| 74 |
Robust multimodal vehicle detection in foggy weather using complementary lidar and radar signals
|
https://scholar.google.com/scholar?cluster=18183830905353060568&hl=en&as_sdt=0,7
| 3 | 2,021 |
Learning Parallel Dense Correspondence From Spatio-Temporal Descriptors for Efficient and Robust 4D Reconstruction
| 12 |
cvpr
| 1 | 0 |
2023-06-03 14:29:01.356000
|
https://github.com/tangjiapeng/LPDC-Net
| 28 |
Learning parallel dense correspondence from spatio-temporal descriptors for efficient and robust 4d reconstruction
|
https://scholar.google.com/scholar?cluster=11099306128444077591&hl=en&as_sdt=0,33
| 5 | 2,021 |
VDSM: Unsupervised Video Disentanglement With State-Space Modeling and Deep Mixtures of Experts
| 7 |
cvpr
| 1 | 0 |
2023-06-03 14:29:01.554000
|
https://github.com/matthewvowels1/DisentanglingSequences
| 20 |
Vdsm: Unsupervised video disentanglement with state-space modeling and deep mixtures of experts
|
https://scholar.google.com/scholar?cluster=15689859843532812856&hl=en&as_sdt=0,23
| 1 | 2,021 |
Multi-Modal Fusion Transformer for End-to-End Autonomous Driving
| 236 |
cvpr
| 152 | 3 |
2023-06-03 14:29:01.759000
|
https://github.com/autonomousvision/transfuser
| 784 |
Multi-modal fusion transformer for end-to-end autonomous driving
|
https://scholar.google.com/scholar?cluster=10455103882616133990&hl=en&as_sdt=0,5
| 24 | 2,021 |
Deformed Implicit Field: Modeling 3D Shapes With Learned Dense Correspondence
| 79 |
cvpr
| 16 | 8 |
2023-06-03 14:29:01.952000
|
https://github.com/microsoft/DIF-Net
| 107 |
Deformed implicit field: Modeling 3d shapes with learned dense correspondence
|
https://scholar.google.com/scholar?cluster=3920937918828019885&hl=en&as_sdt=0,3
| 9 | 2,021 |
Deep Homography for Efficient Stereo Image Compression
| 24 |
cvpr
| 12 | 2 |
2023-06-03 14:29:02.146000
|
https://github.com/ywz978020607/HESIC
| 49 |
Deep homography for efficient stereo image compression
|
https://scholar.google.com/scholar?cluster=11291893566376592800&hl=en&as_sdt=0,5
| 4 | 2,021 |
VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalization
| 64 |
cvpr
| 87 | 0 |
2023-06-03 14:29:02.340000
|
https://github.com/shadow2496/VITON-HD
| 371 |
Viton-hd: High-resolution virtual try-on via misalignment-aware normalization
|
https://scholar.google.com/scholar?cluster=14147239110505271848&hl=en&as_sdt=0,5
| 29 | 2,021 |
Training Networks in Null Space of Feature Covariance for Continual Learning
| 49 |
cvpr
| 2 | 1 |
2023-06-03 14:29:02.534000
|
https://github.com/ShipengWang/Adam-NSCL
| 34 |
Training networks in null space of feature covariance for continual learning
|
https://scholar.google.com/scholar?cluster=3981676700337551569&hl=en&as_sdt=0,44
| 1 | 2,021 |
Neural Splines: Fitting 3D Surfaces With Infinitely-Wide Neural Networks
| 29 |
cvpr
| 4 | 2 |
2023-06-03 14:29:02.729000
|
https://github.com/fwilliams/neural-splines
| 62 |
Neural splines: Fitting 3d surfaces with infinitely-wide neural networks
|
https://scholar.google.com/scholar?cluster=1751086253494726077&hl=en&as_sdt=0,5
| 4 | 2,021 |
LightTrack: Finding Lightweight Neural Networks for Object Tracking via One-Shot Architecture Search
| 83 |
cvpr
| 54 | 16 |
2023-06-03 14:29:02.922000
|
https://github.com/researchmm/LightTrack
| 322 |
Lighttrack: Finding lightweight neural networks for object tracking via one-shot architecture search
|
https://scholar.google.com/scholar?cluster=6211078804998152856&hl=en&as_sdt=0,34
| 17 | 2,021 |
Visual Room Rearrangement
| 67 |
cvpr
| 12 | 1 |
2023-06-03 14:29:03.116000
|
https://github.com/allenai/robothor-challenge
| 53 |
Visual room rearrangement
|
https://scholar.google.com/scholar?cluster=711651683418692059&hl=en&as_sdt=0,34
| 44 | 2,021 |
Few-Shot 3D Point Cloud Semantic Segmentation
| 51 |
cvpr
| 28 | 10 |
2023-06-03 14:29:03.310000
|
https://github.com/Na-Z/attMPTI
| 124 |
Few-shot 3d point cloud semantic segmentation
|
https://scholar.google.com/scholar?cluster=11867037827768862449&hl=en&as_sdt=0,14
| 7 | 2,021 |
Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation
| 255 |
cvpr
| 47 | 17 |
2023-06-03 14:29:03.504000
|
https://github.com/microsoft/ProDA
| 252 |
Prototypical pseudo label denoising and target structure learning for domain adaptive semantic segmentation
|
https://scholar.google.com/scholar?cluster=4978603340943430786&hl=en&as_sdt=0,10
| 6 | 2,021 |
Adaptive Consistency Prior Based Deep Network for Image Denoising
| 74 |
cvpr
| 8 | 4 |
2023-06-03 14:29:03.698000
|
https://github.com/chaoren88/DeamNet
| 40 |
Adaptive consistency prior based deep network for image denoising
|
https://scholar.google.com/scholar?cluster=9558877767879141008&hl=en&as_sdt=0,5
| 1 | 2,021 |
Unsupervised Real-World Image Super Resolution via Domain-Distance Aware Training
| 73 |
cvpr
| 23 | 19 |
2023-06-03 14:29:03.891000
|
https://github.com/ShuhangGu/DASR
| 212 |
Unsupervised real-world image super resolution via domain-distance aware training
|
https://scholar.google.com/scholar?cluster=438254105640002831&hl=en&as_sdt=0,22
| 9 | 2,021 |
Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination
| 48 |
cvpr
| 8 | 0 |
2023-06-03 14:29:04.085000
|
https://github.com/frank-xwang/CLD-UnsupervisedLearning
| 92 |
Unsupervised feature learning by cross-level instance-group discrimination
|
https://scholar.google.com/scholar?cluster=5575362988777240669&hl=en&as_sdt=0,5
| 8 | 2,021 |
Equalization Loss v2: A New Gradient Balance Approach for Long-Tailed Object Detection
| 81 |
cvpr
| 22 | 14 |
2023-06-03 14:29:04.278000
|
https://github.com/tztztztztz/eqlv2
| 139 |
Equalization loss v2: A new gradient balance approach for long-tailed object detection
|
https://scholar.google.com/scholar?cluster=5397807898365416838&hl=en&as_sdt=0,5
| 7 | 2,021 |
Tracking Pedestrian Heads in Dense Crowd
| 46 |
cvpr
| 8 | 2 |
2023-06-03 14:29:04.471000
|
https://github.com/Sentient07/HeadHunter--T
| 35 |
Tracking pedestrian heads in dense crowd
|
https://scholar.google.com/scholar?cluster=14185015812291628203&hl=en&as_sdt=0,5
| 3 | 2,021 |
Primitive Representation Learning for Scene Text Recognition
| 50 |
cvpr
| 14 | 12 |
2023-06-03 14:29:04.666000
|
https://github.com/RuijieJ/pren
| 77 |
Primitive representation learning for scene text recognition
|
https://scholar.google.com/scholar?cluster=2679302935830848317&hl=en&as_sdt=0,5
| 2 | 2,021 |
SDD-FIQA: Unsupervised Face Image Quality Assessment With Similarity Distribution Distance
| 53 |
cvpr
| 207 | 59 |
2023-06-03 14:29:04.859000
|
https://github.com/Tencent/TFace
| 1,044 |
SDD-FIQA: unsupervised face image quality assessment with similarity distribution distance
|
https://scholar.google.com/scholar?cluster=7724786486839901478&hl=en&as_sdt=0,23
| 34 | 2,021 |
Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts
| 321 |
cvpr
| 12 | 1 |
2023-06-03 14:29:05.052000
|
https://github.com/google-research-datasets/conceptual-12m
| 252 |
Conceptual 12m: Pushing web-scale image-text pre-training to recognize long-tail visual concepts
|
https://scholar.google.com/scholar?cluster=3375736515991008673&hl=en&as_sdt=0,14
| 13 | 2,021 |
ProSelfLC: Progressive Self Label Correction for Training Robust Deep Neural Networks
| 43 |
cvpr
| 2 | 2 |
2023-06-03 14:29:05.251000
|
https://github.com/XinshaoAmosWang/ProSelfLC-CVPR2021
| 57 |
Proselflc: Progressive self label correction for training robust deep neural networks
|
https://scholar.google.com/scholar?cluster=14790390926220732400&hl=en&as_sdt=0,5
| 3 | 2,021 |
Generalized Few-Shot Object Detection Without Forgetting
| 110 |
cvpr
| 3 | 2 |
2023-06-03 14:29:05.444000
|
https://github.com/Megvii-BaseDetection/GFSD
| 36 |
Generalized few-shot object detection without forgetting
|
https://scholar.google.com/scholar?cluster=6196888269192586051&hl=en&as_sdt=0,10
| 5 | 2,021 |
Learning To Segment Rigid Motions From Two Frames
| 28 |
cvpr
| 18 | 8 |
2023-06-03 14:29:05.643000
|
https://github.com/gengshan-y/rigidmask
| 163 |
Learning to segment rigid motions from two frames
|
https://scholar.google.com/scholar?cluster=16220174865769682176&hl=en&as_sdt=0,39
| 11 | 2,021 |
Truly Shift-Invariant Convolutional Neural Networks
| 40 |
cvpr
| 7 | 4 |
2023-06-03 14:29:05.838000
|
https://github.com/achaman2/truly_shift_invariant_cnns
| 48 |
Truly shift-invariant convolutional neural networks
|
https://scholar.google.com/scholar?cluster=596645945924258419&hl=en&as_sdt=0,33
| 2 | 2,021 |
Learning Continuous Image Representation With Local Implicit Image Function
| 275 |
cvpr
| 132 | 18 |
2023-06-03 14:29:06.031000
|
https://github.com/yinboc/liif
| 1,084 |
Learning continuous image representation with local implicit image function
|
https://scholar.google.com/scholar?cluster=17688179025247323276&hl=en&as_sdt=0,3
| 23 | 2,021 |
SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data
| 23 |
cvpr
| 13 | 4 |
2023-06-03 14:29:06.225000
|
https://github.com/jw9730/setvae
| 63 |
Setvae: Learning hierarchical composition for generative modeling of set-structured data
|
https://scholar.google.com/scholar?cluster=10751598209000319269&hl=en&as_sdt=0,21
| 3 | 2,021 |
Multi-Label Learning From Single Positive Labels
| 43 |
cvpr
| 15 | 0 |
2023-06-03 14:29:06.419000
|
https://github.com/elijahcole/single-positive-multi-label
| 78 |
Multi-label learning from single positive labels
|
https://scholar.google.com/scholar?cluster=10629946850600064814&hl=en&as_sdt=0,5
| 7 | 2,021 |
CFNet: Cascade and Fused Cost Volume for Robust Stereo Matching
| 116 |
cvpr
| 21 | 15 |
2023-06-03 14:29:06.612000
|
https://github.com/gallenszl/CFNet
| 119 |
Cfnet: Cascade and fused cost volume for robust stereo matching
|
https://scholar.google.com/scholar?cluster=6636929522099977175&hl=en&as_sdt=0,25
| 7 | 2,021 |
LiDAR-Based Panoptic Segmentation via Dynamic Shifting Network
| 52 |
cvpr
| 29 | 11 |
2023-06-03 14:29:06.805000
|
https://github.com/hongfz16/DS-Net
| 219 |
Lidar-based panoptic segmentation via dynamic shifting network
|
https://scholar.google.com/scholar?cluster=8868905053187909969&hl=en&as_sdt=0,33
| 10 | 2,021 |
Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning
| 63 |
cvpr
| 10 | 5 |
2023-06-03 14:29:06.999000
|
https://github.com/zhukaii/SPPR
| 79 |
Self-promoted prototype refinement for few-shot class-incremental learning
|
https://scholar.google.com/scholar?cluster=14305352558080676320&hl=en&as_sdt=0,14
| 5 | 2,021 |
SiamMOT: Siamese Multi-Object Tracking
| 86 |
cvpr
| 61 | 31 |
2023-06-03 14:29:07.192000
|
https://github.com/amazon-research/siam-mot
| 455 |
Siammot: Siamese multi-object tracking
|
https://scholar.google.com/scholar?cluster=10406043046175863207&hl=en&as_sdt=0,5
| 18 | 2,021 |
Multi-Institutional Collaborations for Improving Deep Learning-Based Magnetic Resonance Image Reconstruction Using Federated Learning
| 85 |
cvpr
| 6 | 1 |
2023-06-03 14:29:07.386000
|
https://github.com/guopengf/FL-MRCM
| 40 |
Multi-institutional collaborations for improving deep learning-based magnetic resonance image reconstruction using federated learning
|
https://scholar.google.com/scholar?cluster=9660062839000972634&hl=en&as_sdt=0,10
| 2 | 2,021 |
Separating Skills and Concepts for Novel Visual Question Answering
| 26 |
cvpr
| 1 | 6 |
2023-06-03 14:29:07.580000
|
https://github.com/SpencerWhitehead/novelvqa
| 20 |
Separating skills and concepts for novel visual question answering
|
https://scholar.google.com/scholar?cluster=5432885246099890718&hl=en&as_sdt=0,26
| 5 | 2,021 |
Self-Aligned Video Deraining With Transmission-Depth Consistency
| 14 |
cvpr
| 2 | 6 |
2023-06-03 14:29:07.774000
|
https://github.com/wending94/Self-Aligned-Video-Deraining-with-Transmission-Depth-Consistency
| 9 |
Self-aligned video deraining with transmission-depth consistency
|
https://scholar.google.com/scholar?cluster=16493647877794878130&hl=en&as_sdt=0,21
| 1 | 2,021 |
Deep Implicit Moving Least-Squares Functions for 3D Reconstruction
| 55 |
cvpr
| 20 | 2 |
2023-06-03 14:29:07.967000
|
https://github.com/Andy97/DeepMLS
| 110 |
Deep implicit moving least-squares functions for 3D reconstruction
|
https://scholar.google.com/scholar?cluster=8086388192176560197&hl=en&as_sdt=0,14
| 4 | 2,021 |
SwiftNet: Real-Time Video Object Segmentation
| 76 |
cvpr
| 8 | 6 |
2023-06-03 14:29:08.161000
|
https://github.com/haochenheheda/SwiftNet
| 71 |
Swiftnet: Real-time video object segmentation
|
https://scholar.google.com/scholar?cluster=15131125620840130629&hl=en&as_sdt=0,25
| 3 | 2,021 |
Scene Text Retrieval via Joint Text Detection and Similarity Learning
| 20 |
cvpr
| 6 | 6 |
2023-06-03 14:29:08.355000
|
https://github.com/lanfeng4659/STR-TDSL
| 79 |
Scene text retrieval via joint text detection and similarity learning
|
https://scholar.google.com/scholar?cluster=3224927623216328056&hl=en&as_sdt=0,39
| 14 | 2,021 |
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