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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 |
Subsets and Splits