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QPIC: Query-Based Pairwise Human-Object Interaction Detection With Image-Wide Contextual Information | 90 | cvpr | 28 | 21 | 2023-06-03 14:29:08.553000 | https://github.com/hitachi-rd-cv/qpic | 114 | Qpic: Query-based pairwise human-object interaction detection with image-wide contextual information | https://scholar.google.com/scholar?cluster=2040091967364618062&hl=en&as_sdt=0,14 | 8 | 2,021 |
Mutual Graph Learning for Camouflaged Object Detection | 97 | cvpr | 7 | 3 | 2023-06-03 14:29:08.763000 | https://github.com/fanyang587/MGL | 37 | Mutual graph learning for camouflaged object detection | https://scholar.google.com/scholar?cluster=2736803402775181033&hl=en&as_sdt=0,5 | 2 | 2,021 |
Contrastive Embedding for Generalized Zero-Shot Learning | 113 | cvpr | 18 | 1 | 2023-06-03 14:29:08.956000 | https://github.com/Hanzy1996/CE-GZSL | 77 | Contrastive embedding for generalized zero-shot learning | https://scholar.google.com/scholar?cluster=16849290189422535119&hl=en&as_sdt=0,3 | 1 | 2,021 |
Home Action Genome: Cooperative Compositional Action Understanding | 33 | cvpr | 3 | 2 | 2023-06-03 14:29:09.150000 | https://github.com/nishantrai18/homage | 11 | Home action genome: Cooperative compositional action understanding | https://scholar.google.com/scholar?cluster=10699455751162519671&hl=en&as_sdt=0,5 | 3 | 2,021 |
Involution: Inverting the Inherence of Convolution for Visual Recognition | 182 | cvpr | 172 | 23 | 2023-06-03 14:29:09.343000 | https://github.com/d-li14/involution | 1,282 | Involution: Inverting the inherence of convolution for visual recognition | https://scholar.google.com/scholar?cluster=393441868853886664&hl=en&as_sdt=0,34 | 16 | 2,021 |
Joint Noise-Tolerant Learning and Meta Camera Shift Adaptation for Unsupervised Person Re-Identification | 86 | cvpr | 11 | 0 | 2023-06-03 14:29:09.536000 | https://github.com/FlyingRoastDuck/MetaCam_DSCE | 59 | Joint noise-tolerant learning and meta camera shift adaptation for unsupervised person re-identification | https://scholar.google.com/scholar?cluster=13113254359526621910&hl=en&as_sdt=0,36 | 3 | 2,021 |
Less Is More: ClipBERT for Video-and-Language Learning via Sparse Sampling | 345 | cvpr | 80 | 12 | 2023-06-03 14:29:09.730000 | https://github.com/jayleicn/ClipBERT | 636 | Less is more: Clipbert for video-and-language learning via sparse sampling | https://scholar.google.com/scholar?cluster=16820126260126878886&hl=en&as_sdt=0,47 | 8 | 2,021 |
Deep Lesion Tracker: Monitoring Lesions in 4D Longitudinal Imaging Studies | 19 | cvpr | 1 | 0 | 2023-06-03 14:29:09.923000 | https://github.com/JimmyCai91/DLT | 16 | Deep lesion tracker: monitoring lesions in 4D longitudinal imaging studies | https://scholar.google.com/scholar?cluster=18233692910243885982&hl=en&as_sdt=0,33 | 2 | 2,021 |
Self-Supervised Learning of Depth Inference for Multi-View Stereo | 28 | cvpr | 10 | 6 | 2023-06-03 14:29:10.118000 | https://github.com/JiayuYANG/Self-supervised-CVP-MVSNet | 77 | Self-supervised learning of depth inference for multi-view stereo | https://scholar.google.com/scholar?cluster=11457735974106134030&hl=en&as_sdt=0,5 | 9 | 2,021 |
ST3D: Self-Training for Unsupervised Domain Adaptation on 3D Object Detection | 98 | cvpr | 37 | 2 | 2023-06-03 14:29:10.311000 | https://github.com/CVMI-Lab/ST3D | 247 | St3d: Self-training for unsupervised domain adaptation on 3d object detection | https://scholar.google.com/scholar?cluster=12232176416755323092&hl=en&as_sdt=0,5 | 13 | 2,021 |
BRepNet: A Topological Message Passing System for Solid Models | 30 | cvpr | 39 | 4 | 2023-06-03 14:29:10.505000 | https://github.com/AutodeskAILab/Fusion360GalleryDataset | 294 | Brepnet: A topological message passing system for solid models | https://scholar.google.com/scholar?cluster=13088699303570660399&hl=en&as_sdt=0,5 | 33 | 2,021 |
Learning To Warp for Style Transfer | 21 | cvpr | 6 | 3 | 2023-06-03 14:29:10.698000 | https://github.com/xch-liu/learning-warp-st | 31 | Learning to warp for style transfer | https://scholar.google.com/scholar?cluster=1585034475210210502&hl=en&as_sdt=0,10 | 1 | 2,021 |
Deeply Shape-Guided Cascade for Instance Segmentation | 17 | cvpr | 1 | 3 | 2023-06-03 14:29:10.892000 | https://github.com/hding2455/DSC | 14 | Deeply shape-guided cascade for instance segmentation | https://scholar.google.com/scholar?cluster=4542003749813626262&hl=en&as_sdt=0,44 | 1 | 2,021 |
Encoding in Style: A StyleGAN Encoder for Image-to-Image Translation | 652 | cvpr | 537 | 2 | 2023-06-03 14:29:11.085000 | https://github.com/eladrich/pixel2style2pixel | 2,934 | Encoding in style: a stylegan encoder for image-to-image translation | https://scholar.google.com/scholar?cluster=12264250297849199750&hl=en&as_sdt=0,47 | 64 | 2,021 |
Enriching ImageNet With Human Similarity Judgments and Psychological Embeddings | 32 | cvpr | 6 | 8 | 2023-06-03 14:29:11.280000 | https://github.com/roads/psiz | 28 | Enriching imagenet with human similarity judgments and psychological embeddings | https://scholar.google.com/scholar?cluster=18339232715543273339&hl=en&as_sdt=0,5 | 3 | 2,021 |
Fashion IQ: A New Dataset Towards Retrieving Images by Natural Language Feedback | 97 | cvpr | 37 | 13 | 2023-06-03 14:29:11.474000 | https://github.com/XiaoxiaoGuo/fashion-iq | 109 | Fashion iq: A new dataset towards retrieving images by natural language feedback | https://scholar.google.com/scholar?cluster=13059282150878702635&hl=en&as_sdt=0,5 | 3 | 2,021 |
Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection | 158 | cvpr | 55 | 27 | 2023-06-03 14:29:11.667000 | https://github.com/implus/GFocalV2 | 455 | Generalized focal loss v2: Learning reliable localization quality estimation for dense object detection | https://scholar.google.com/scholar?cluster=12458152692195612427&hl=en&as_sdt=0,5 | 14 | 2,021 |
Self-Supervised Learning for Semi-Supervised Temporal Action Proposal | 45 | cvpr | 6 | 13 | 2023-06-03 14:29:11.861000 | https://github.com/wangxiang1230/SSTAP | 60 | Self-supervised learning for semi-supervised temporal action proposal | https://scholar.google.com/scholar?cluster=13058870912069214775&hl=en&as_sdt=0,44 | 4 | 2,021 |
Exploiting Spatial Dimensions of Latent in GAN for Real-Time Image Editing | 96 | cvpr | 79 | 19 | 2023-06-03 14:29:12.055000 | https://github.com/naver-ai/StyleMapGAN | 442 | Exploiting spatial dimensions of latent in gan for real-time image editing | https://scholar.google.com/scholar?cluster=4637129633542110179&hl=en&as_sdt=0,34 | 10 | 2,021 |
Learning Cross-Modal Retrieval With Noisy Labels | 45 | cvpr | 9 | 2 | 2023-06-03 14:29:12.249000 | https://github.com/penghu-cs/MRL | 40 | Learning cross-modal retrieval with noisy labels | https://scholar.google.com/scholar?cluster=8371167861789755514&hl=en&as_sdt=0,36 | 3 | 2,021 |
Model-Based 3D Hand Reconstruction via Self-Supervised Learning | 57 | cvpr | 11 | 9 | 2023-06-03 14:29:12.443000 | https://github.com/TerenceCYJ/S2HAND | 79 | Model-based 3d hand reconstruction via self-supervised learning | https://scholar.google.com/scholar?cluster=8411707964425961039&hl=en&as_sdt=0,3 | 6 | 2,021 |
Your "Flamingo" is My "Bird": Fine-Grained, or Not | 54 | cvpr | 9 | 0 | 2023-06-03 14:29:12.637000 | https://github.com/PRIS-CV/Fine-Grained-or-Not | 47 | Your" Flamingo" is my" Bird": fine-grained, or not | https://scholar.google.com/scholar?cluster=4159273575784882414&hl=en&as_sdt=0,20 | 3 | 2,021 |
The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth | 136 | cvpr | 75 | 32 | 2023-06-03 14:29:12.831000 | https://github.com/nianticlabs/manydepth | 545 | The temporal opportunist: Self-supervised multi-frame monocular depth | https://scholar.google.com/scholar?cluster=10836634820207184106&hl=en&as_sdt=0,26 | 17 | 2,021 |
Linear Semantics in Generative Adversarial Networks | 15 | cvpr | 4 | 0 | 2023-06-03 14:29:13.024000 | https://github.com/AtlantixJJ/LinearGAN | 25 | Linear semantics in generative adversarial networks | https://scholar.google.com/scholar?cluster=13931738749710537337&hl=en&as_sdt=0,38 | 4 | 2,021 |
Semi-Supervised Video Deraining With Dynamical Rain Generator | 37 | cvpr | 19 | 7 | 2023-06-03 14:29:13.219000 | https://github.com/zsyOAOA/S2VD | 59 | Semi-supervised video deraining with dynamical rain generator | https://scholar.google.com/scholar?cluster=12212442081427603950&hl=en&as_sdt=0,21 | 6 | 2,021 |
DG-Font: Deformable Generative Networks for Unsupervised Font Generation | 43 | cvpr | 33 | 37 | 2023-06-03 14:29:13.412000 | https://github.com/ecnuycxie/DG-Font | 163 | Dg-font: Deformable generative networks for unsupervised font generation | https://scholar.google.com/scholar?cluster=5676121317228703912&hl=en&as_sdt=0,5 | 4 | 2,021 |
Mesoscopic Photogrammetry With an Unstabilized Phone Camera | 9 | cvpr | 5 | 0 | 2023-06-03 14:29:13.606000 | https://github.com/kevinczhou/mesoscopic-photogrammetry | 27 | Mesoscopic photogrammetry with an unstabilized phone camera | https://scholar.google.com/scholar?cluster=5544038158039929878&hl=en&as_sdt=0,5 | 3 | 2,021 |
Robust Reflection Removal With Reflection-Free Flash-Only Cues | 25 | cvpr | 27 | 2 | 2023-06-03 14:29:13.799000 | https://github.com/ChenyangLEI/flash-reflection-removal | 177 | Robust reflection removal with reflection-free flash-only cues | https://scholar.google.com/scholar?cluster=17618252109389744590&hl=en&as_sdt=0,5 | 4 | 2,021 |
Real-Time Selfie Video Stabilization | 7 | cvpr | 5 | 4 | 2023-06-03 14:29:13.993000 | https://github.com/jiy173/selfievideostabilization | 40 | Real-time selfie video stabilization | https://scholar.google.com/scholar?cluster=9199625127240779541&hl=en&as_sdt=0,14 | 3 | 2,021 |
Diverse Semantic Image Synthesis via Probability Distribution Modeling | 30 | cvpr | 7 | 1 | 2023-06-03 14:29:14.187000 | https://github.com/tzt101/INADE | 50 | Diverse semantic image synthesis via probability distribution modeling | https://scholar.google.com/scholar?cluster=3606979518541326034&hl=en&as_sdt=0,5 | 4 | 2,021 |
Self-Generated Defocus Blur Detection via Dual Adversarial Discriminators | 12 | cvpr | 9 | 3 | 2023-06-03 14:29:14.381000 | https://github.com/shangcai1/SG | 20 | Self-generated defocus blur detection via dual adversarial discriminators | https://scholar.google.com/scholar?cluster=8864367165223509629&hl=en&as_sdt=0,5 | 1 | 2,021 |
Body2Hands: Learning To Infer 3D Hands From Conversational Gesture Body Dynamics | 32 | cvpr | 14 | 4 | 2023-06-03 14:29:14.574000 | https://github.com/facebookresearch/body2hands | 92 | Body2hands: Learning to infer 3d hands from conversational gesture body dynamics | https://scholar.google.com/scholar?cluster=8082217403370037880&hl=en&as_sdt=0,11 | 10 | 2,021 |
Semantic Scene Completion via Integrating Instances and Scene In-the-Loop | 27 | cvpr | 0 | 1 | 2023-06-03 14:29:14.773000 | https://github.com/yjcaimeow/SISNet | 10 | Semantic scene completion via integrating instances and scene in-the-loop | https://scholar.google.com/scholar?cluster=10278535956132345017&hl=en&as_sdt=0,21 | 2 | 2,021 |
GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object Detection | 53 | cvpr | 20 | 1 | 2023-06-03 14:29:14.967000 | https://github.com/abhi1kumar/groomed_nms | 79 | Groomed-nms: Grouped mathematically differentiable nms for monocular 3d object detection | https://scholar.google.com/scholar?cluster=17502801882249020372&hl=en&as_sdt=0,5 | 9 | 2,021 |
Unsupervised Visual Representation Learning by Tracking Patches in Video | 16 | cvpr | 5 | 2 | 2023-06-03 14:29:15.160000 | https://github.com/microsoft/CtP | 44 | Unsupervised visual representation learning by tracking patches in video | https://scholar.google.com/scholar?cluster=11577331929387498194&hl=en&as_sdt=0,3 | 5 | 2,021 |
Deep Learning in Latent Space for Video Prediction and Compression | 42 | cvpr | 3 | 1 | 2023-06-03 14:29:15.354000 | https://github.com/BowenL0218/Video_Compression | 16 | Deep learning in latent space for video prediction and compression | https://scholar.google.com/scholar?cluster=17100088282737430240&hl=en&as_sdt=0,34 | 1 | 2,021 |
3D Human Action Representation Learning via Cross-View Consistency Pursuit | 89 | cvpr | 18 | 7 | 2023-06-03 14:29:15.547000 | https://github.com/LinguoLi/CrosSCLR | 48 | 3d human action representation learning via cross-view consistency pursuit | https://scholar.google.com/scholar?cluster=14585779787909883755&hl=en&as_sdt=0,5 | 5 | 2,021 |
Unsupervised Degradation Representation Learning for Blind Super-Resolution | 169 | cvpr | 47 | 67 | 2023-06-03 14:29:15.756000 | https://github.com/LongguangWang/DASR | 336 | Unsupervised degradation representation learning for blind super-resolution | https://scholar.google.com/scholar?cluster=12938651263779779258&hl=en&as_sdt=0,39 | 10 | 2,021 |
Deep Analysis of CNN-Based Spatio-Temporal Representations for Action Recognition | 69 | cvpr | 43 | 9 | 2023-06-03 14:29:15.949000 | https://github.com/IBM/action-recognition-pytorch | 207 | Deep analysis of cnn-based spatio-temporal representations for action recognition | https://scholar.google.com/scholar?cluster=13442779659830969305&hl=en&as_sdt=0,5 | 13 | 2,021 |
Semi-Supervised Action Recognition With Temporal Contrastive Learning | 56 | cvpr | 6 | 4 | 2023-06-03 14:29:16.143000 | https://github.com/CVIR/TCL | 50 | Semi-supervised action recognition with temporal contrastive learning | https://scholar.google.com/scholar?cluster=16627879401168255798&hl=en&as_sdt=0,21 | 4 | 2,021 |
Projecting Your View Attentively: Monocular Road Scene Layout Estimation via Cross-View Transformation | 55 | cvpr | 19 | 10 | 2023-06-03 14:29:16.336000 | https://github.com/JonDoe-297/cross-view | 129 | Projecting your view attentively: Monocular road scene layout estimation via cross-view transformation | https://scholar.google.com/scholar?cluster=9398792801654115525&hl=en&as_sdt=0,43 | 4 | 2,021 |
Adaptive Aggregation Networks for Class-Incremental Learning | 113 | cvpr | 67 | 27 | 2023-06-03 14:29:16.530000 | https://github.com/yaoyao-liu/class-incremental-learning | 420 | Adaptive aggregation networks for class-incremental learning | https://scholar.google.com/scholar?cluster=3356118117821233260&hl=en&as_sdt=0,11 | 13 | 2,021 |
Part-Aware Panoptic Segmentation | 31 | cvpr | 15 | 2 | 2023-06-03 14:29:16.724000 | https://github.com/tue-mps/panoptic_parts | 95 | Part-aware panoptic segmentation | https://scholar.google.com/scholar?cluster=6655933110036314416&hl=en&as_sdt=0,4 | 8 | 2,021 |
SG-Net: Spatial Granularity Network for One-Stage Video Instance Segmentation | 90 | cvpr | 8 | 5 | 2023-06-03 14:29:16.917000 | https://github.com/goodproj13/SG-Net | 58 | Sg-net: Spatial granularity network for one-stage video instance segmentation | https://scholar.google.com/scholar?cluster=15843316366415866499&hl=en&as_sdt=0,23 | 7 | 2,021 |
Hierarchical and Partially Observable Goal-Driven Policy Learning With Goals Relational Graph | 12 | cvpr | 2 | 3 | 2023-06-03 14:29:17.111000 | https://github.com/Xin-Ye-1/HRL-GRG | 11 | Hierarchical and partially observable goal-driven policy learning with goals relational graph | https://scholar.google.com/scholar?cluster=6089087711305508639&hl=en&as_sdt=0,39 | 2 | 2,021 |
Convolutional Hough Matching Networks | 37 | cvpr | 10 | 1 | 2023-06-03 14:29:17.305000 | https://github.com/juhongm999/chm | 72 | Convolutional hough matching networks | https://scholar.google.com/scholar?cluster=3616198346725754055&hl=en&as_sdt=0,14 | 1 | 2,021 |
Point 4D Transformer Networks for Spatio-Temporal Modeling in Point Cloud Videos | 85 | cvpr | 14 | 8 | 2023-06-03 14:29:17.499000 | https://github.com/hehefan/P4Transformer | 119 | Point 4d transformer networks for spatio-temporal modeling in point cloud videos | https://scholar.google.com/scholar?cluster=1837130648312459327&hl=en&as_sdt=0,5 | 3 | 2,021 |
Deep Convolutional Dictionary Learning for Image Denoising | 51 | cvpr | 18 | 4 | 2023-06-03 14:29:17.692000 | https://github.com/natezhenghy/DCDicL_denoising | 101 | Deep convolutional dictionary learning for image denoising | https://scholar.google.com/scholar?cluster=1839135958435369844&hl=en&as_sdt=0,44 | 4 | 2,021 |
Dynamic Class Queue for Large Scale Face Recognition in the Wild | 11 | cvpr | 11 | 4 | 2023-06-03 14:29:17.886000 | https://github.com/bilylee/DCQ | 55 | Dynamic class queue for large scale face recognition in the wild | https://scholar.google.com/scholar?cluster=17570798662013091752&hl=en&as_sdt=0,5 | 4 | 2,021 |
One Thing One Click: A Self-Training Approach for Weakly Supervised 3D Semantic Segmentation | 67 | cvpr | 7 | 11 | 2023-06-03 14:29:18.080000 | https://github.com/liuzhengzhe/One-Thing-One-Click | 46 | One thing one click: A self-training approach for weakly supervised 3d semantic segmentation | https://scholar.google.com/scholar?cluster=11937309607531868823&hl=en&as_sdt=0,5 | 6 | 2,021 |
Clusformer: A Transformer Based Clustering Approach to Unsupervised Large-Scale Face and Visual Landmark Recognition | 23 | cvpr | 2 | 0 | 2023-06-03 14:29:18.278000 | https://github.com/uark-cviu/Intraformer | 12 | Clusformer: A transformer based clustering approach to unsupervised large-scale face and visual landmark recognition | https://scholar.google.com/scholar?cluster=15842403157814716357&hl=en&as_sdt=0,14 | 2 | 2,021 |
AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations From Self-Trained Negative Adversaries | 104 | cvpr | 18 | 0 | 2023-06-03 14:29:18.472000 | https://github.com/maple-research-lab/AdCo | 162 | Adco: Adversarial contrast for efficient learning of unsupervised representations from self-trained negative adversaries | https://scholar.google.com/scholar?cluster=17767222965679946506&hl=en&as_sdt=0,5 | 7 | 2,021 |
Learned Initializations for Optimizing Coordinate-Based Neural Representations | 158 | cvpr | 22 | 4 | 2023-06-03 14:29:18.666000 | https://github.com/tancik/learnit | 143 | Learned initializations for optimizing coordinate-based neural representations | https://scholar.google.com/scholar?cluster=6727393976512171217&hl=en&as_sdt=0,5 | 8 | 2,021 |
FESTA: Flow Estimation via Spatial-Temporal Attention for Scene Point Clouds | 18 | cvpr | 2 | 4 | 2023-06-03 14:29:18.860000 | https://github.com/InterDigitalInc/FESTA | 18 | Festa: Flow estimation via spatial-temporal attention for scene point clouds | https://scholar.google.com/scholar?cluster=10745735900488186828&hl=en&as_sdt=0,45 | 1 | 2,021 |
Uncertainty-Aware Joint Salient Object and Camouflaged Object Detection | 94 | cvpr | 9 | 4 | 2023-06-03 14:29:19.053000 | https://github.com/JingZhang617/Joint_COD_SOD | 43 | Uncertainty-aware joint salient object and camouflaged object detection | https://scholar.google.com/scholar?cluster=7630240259379039565&hl=en&as_sdt=0,48 | 3 | 2,021 |
You Only Look One-Level Feature | 337 | cvpr | 118 | 27 | 2023-06-03 14:29:19.248000 | https://github.com/megvii-model/YOLOF | 799 | You only look one-level feature | https://scholar.google.com/scholar?cluster=8367071398417962813&hl=en&as_sdt=0,21 | 20 | 2,021 |
EvDistill: Asynchronous Events To End-Task Learning via Bidirectional Reconstruction-Guided Cross-Modal Knowledge Distillation | 34 | cvpr | 3 | 4 | 2023-06-03 14:29:19.443000 | https://github.com/addisonwang2013/evdistill | 22 | Evdistill: Asynchronous events to end-task learning via bidirectional reconstruction-guided cross-modal knowledge distillation | https://scholar.google.com/scholar?cluster=9062827688836585541&hl=en&as_sdt=0,33 | 2 | 2,021 |
PoseAug: A Differentiable Pose Augmentation Framework for 3D Human Pose Estimation | 87 | cvpr | 54 | 4 | 2023-06-03 14:29:19.640000 | https://github.com/jfzhang95/PoseAug | 342 | Poseaug: A differentiable pose augmentation framework for 3d human pose estimation | https://scholar.google.com/scholar?cluster=18834802810197113&hl=en&as_sdt=0,41 | 19 | 2,021 |
Transferable Semantic Augmentation for Domain Adaptation | 65 | cvpr | 11 | 6 | 2023-06-03 14:29:19.833000 | https://github.com/BIT-DA/TSA | 68 | Transferable semantic augmentation for domain adaptation | https://scholar.google.com/scholar?cluster=6287196979078308522&hl=en&as_sdt=0,36 | 2 | 2,021 |
Seesaw Loss for Long-Tailed Instance Segmentation | 144 | cvpr | 8,691 | 801 | 2023-06-03 14:29:20.028000 | https://github.com/open-mmlab/mmdetection | 24,422 | Seesaw loss for long-tailed instance segmentation | https://scholar.google.com/scholar?cluster=10365484825680988313&hl=en&as_sdt=0,38 | 372 | 2,021 |
No Frame Left Behind: Full Video Action Recognition | 24 | cvpr | 3 | 0 | 2023-06-03 14:29:20.221000 | https://github.com/L-KID/Full-Video-Action-Recognition | 15 | No frame left behind: Full video action recognition | https://scholar.google.com/scholar?cluster=1704422255390141383&hl=en&as_sdt=0,33 | 1 | 2,021 |
Drafting and Revision: Laplacian Pyramid Network for Fast High-Quality Artistic Style Transfer | 51 | cvpr | 1,166 | 249 | 2023-06-03 14:29:20.416000 | https://github.com/PaddlePaddle/PaddleGAN | 6,980 | Drafting and revision: Laplacian pyramid network for fast high-quality artistic style transfer | https://scholar.google.com/scholar?cluster=3871486821033857987&hl=en&as_sdt=0,5 | 102 | 2,021 |
Adversarial Generation of Continuous Images | 107 | cvpr | 23 | 6 | 2023-06-03 14:29:20.610000 | https://github.com/universome/inr-gan | 226 | Adversarial generation of continuous images | https://scholar.google.com/scholar?cluster=13576341953482945188&hl=en&as_sdt=0,5 | 10 | 2,021 |
Watching You: Global-Guided Reciprocal Learning for Video-Based Person Re-Identification | 51 | cvpr | 6 | 3 | 2023-06-03 14:29:20.804000 | https://github.com/flysnowtiger/GRL | 18 | Watching you: Global-guided reciprocal learning for video-based person re-identification | https://scholar.google.com/scholar?cluster=928417901228249912&hl=en&as_sdt=0,41 | 1 | 2,021 |
Polygonal Building Extraction by Frame Field Learning | 32 | cvpr | 55 | 24 | 2023-06-03 14:29:20.997000 | https://github.com/Lydorn/Polygonization-by-Frame-Field-Learning | 227 | Polygonal building extraction by frame field learning | https://scholar.google.com/scholar?cluster=5467064830111076941&hl=en&as_sdt=0,51 | 13 | 2,021 |
Image Generators With Conditionally-Independent Pixel Synthesis | 114 | cvpr | 36 | 13 | 2023-06-03 14:29:21.191000 | https://github.com/saic-mdal/CIPS | 203 | Image generators with conditionally-independent pixel synthesis | https://scholar.google.com/scholar?cluster=2624387036194918896&hl=en&as_sdt=0,29 | 9 | 2,021 |
NeuralFusion: Online Depth Fusion in Latent Space | 30 | cvpr | 2 | 0 | 2023-06-03 14:29:21.385000 | https://github.com/weders/NeuralFusion | 59 | Neuralfusion: Online depth fusion in latent space | https://scholar.google.com/scholar?cluster=14651258106620525182&hl=en&as_sdt=0,14 | 5 | 2,021 |
PU-GCN: Point Cloud Upsampling Using Graph Convolutional Networks | 104 | cvpr | 16 | 10 | 2023-06-03 14:29:21.580000 | https://github.com/guochengqian/PU-GCN | 132 | Pu-gcn: Point cloud upsampling using graph convolutional networks | https://scholar.google.com/scholar?cluster=16007941439711255758&hl=en&as_sdt=0,5 | 9 | 2,021 |
How2Sign: A Large-Scale Multimodal Dataset for Continuous American Sign Language | 74 | cvpr | 1 | 8 | 2023-06-03 14:29:21.773000 | https://github.com/how2sign/how2sign.github.io | 7 | How2sign: a large-scale multimodal dataset for continuous american sign language | https://scholar.google.com/scholar?cluster=6693792152789343772&hl=en&as_sdt=0,3 | 4 | 2,021 |
A Closer Look at Fourier Spectrum Discrepancies for CNN-Generated Images Detection | 36 | cvpr | 5 | 0 | 2023-06-03 14:29:21.967000 | https://github.com/sutd-visual-computing-group/Fourier-Discrepancies-CNN-Detection | 24 | A closer look at fourier spectrum discrepancies for cnn-generated images detection | https://scholar.google.com/scholar?cluster=16628031137386261195&hl=en&as_sdt=0,10 | 5 | 2,021 |
MaX-DeepLab: End-to-End Panoptic Segmentation With Mask Transformers | 319 | cvpr | 155 | 30 | 2023-06-03 14:29:22.165000 | https://github.com/google-research/deeplab2 | 904 | Max-deeplab: End-to-end panoptic segmentation with mask transformers | https://scholar.google.com/scholar?cluster=5792560058636996973&hl=en&as_sdt=0,5 | 23 | 2,021 |
Dynamic Head: Unifying Object Detection Heads With Attentions | 215 | cvpr | 61 | 30 | 2023-06-03 14:29:22.359000 | https://github.com/microsoft/DynamicHead | 574 | Dynamic head: Unifying object detection heads with attentions | https://scholar.google.com/scholar?cluster=1319826694668830613&hl=en&as_sdt=0,5 | 38 | 2,021 |
Counterfactual VQA: A Cause-Effect Look at Language Bias | 226 | cvpr | 13 | 3 | 2023-06-03 14:29:22.551000 | https://github.com/yuleiniu/cfvqa | 103 | Counterfactual vqa: A cause-effect look at language bias | https://scholar.google.com/scholar?cluster=16921277254023051511&hl=en&as_sdt=0,4 | 1 | 2,021 |
Learning a Proposal Classifier for Multiple Object Tracking | 78 | cvpr | 8 | 11 | 2023-06-03 14:29:22.759000 | https://github.com/daip13/LPC_MOT | 72 | Learning a proposal classifier for multiple object tracking | https://scholar.google.com/scholar?cluster=17248423667886589275&hl=en&as_sdt=0,13 | 2 | 2,021 |
Denoise and Contrast for Category Agnostic Shape Completion | 19 | cvpr | 3 | 0 | 2023-06-03 14:29:22.953000 | https://github.com/antoalli/Deco | 32 | Denoise and contrast for category agnostic shape completion | https://scholar.google.com/scholar?cluster=4770719809788299633&hl=en&as_sdt=0,14 | 3 | 2,021 |
Indoor Panorama Planar 3D Reconstruction via Divide and Conquer | 6 | cvpr | 8 | 4 | 2023-06-03 14:29:23.146000 | https://github.com/sunset1995/panoplane360 | 38 | Indoor panorama planar 3d reconstruction via divide and conquer | https://scholar.google.com/scholar?cluster=3193687115703792849&hl=en&as_sdt=0,25 | 4 | 2,021 |
Multi-Attentional Deepfake Detection | 270 | cvpr | 51 | 20 | 2023-06-03 14:29:23.340000 | https://github.com/yoctta/multiple-attention | 184 | Multi-attentional deepfake detection | https://scholar.google.com/scholar?cluster=17591479096007453523&hl=en&as_sdt=0,11 | 4 | 2,021 |
RAFT-3D: Scene Flow Using Rigid-Motion Embeddings | 66 | cvpr | 22 | 10 | 2023-06-03 14:29:23.534000 | https://github.com/princeton-vl/RAFT-3D | 195 | Raft-3d: Scene flow using rigid-motion embeddings | https://scholar.google.com/scholar?cluster=4984780804505362232&hl=en&as_sdt=0,23 | 8 | 2,021 |
Consistent Instance False Positive Improves Fairness in Face Recognition | 38 | cvpr | 207 | 59 | 2023-06-03 14:29:23.727000 | https://github.com/Tencent/TFace | 1,044 | Consistent instance false positive improves fairness in face recognition | https://scholar.google.com/scholar?cluster=13248267076396056645&hl=en&as_sdt=0,5 | 34 | 2,021 |
Neighbor2Neighbor: Self-Supervised Denoising From Single Noisy Images | 131 | cvpr | 32 | 9 | 2023-06-03 14:29:23.921000 | https://github.com/TaoHuang2018/Neighbor2Neighbor | 192 | Neighbor2neighbor: Self-supervised denoising from single noisy images | https://scholar.google.com/scholar?cluster=3848352971463411925&hl=en&as_sdt=0,18 | 8 | 2,021 |
Exploring intermediate representation for monocular vehicle pose estimation | 22 | cvpr | 19 | 7 | 2023-06-03 14:29:24.114000 | https://github.com/Nicholasli1995/EgoNet | 151 | Exploring intermediate representation for monocular vehicle pose estimation | https://scholar.google.com/scholar?cluster=14896714302792961653&hl=en&as_sdt=0,47 | 5 | 2,021 |
Capturing Omni-Range Context for Omnidirectional Segmentation | 51 | cvpr | 4 | 0 | 2023-06-03 14:29:24.308000 | https://github.com/elnino9ykl/WildPASS | 24 | Capturing omni-range context for omnidirectional segmentation | https://scholar.google.com/scholar?cluster=16295518216625722547&hl=en&as_sdt=0,33 | 1 | 2,021 |
FaceSec: A Fine-Grained Robustness Evaluation Framework for Face Recognition Systems | 12 | cvpr | 1 | 0 | 2023-06-03 14:29:24.501000 | https://github.com/KnowledgeDiscovery/FaceSec | 2 | Facesec: A fine-grained robustness evaluation framework for face recognition systems | https://scholar.google.com/scholar?cluster=2525111220508051406&hl=en&as_sdt=0,44 | 0 | 2,021 |
Practical Single-Image Super-Resolution Using Look-Up Table | 29 | cvpr | 19 | 7 | 2023-06-03 14:29:24.695000 | https://github.com/yhjo09/SR-LUT | 130 | Practical single-image super-resolution using look-up table | https://scholar.google.com/scholar?cluster=15412161541559387188&hl=en&as_sdt=0,31 | 5 | 2,021 |
Face Forensics in the Wild | 36 | cvpr | 1 | 1 | 2023-06-03 14:29:24.888000 | https://github.com/tfzhou/FFIW | 40 | Face forensics in the wild | https://scholar.google.com/scholar?cluster=18250568401405564851&hl=en&as_sdt=0,11 | 4 | 2,021 |
SRWarp: Generalized Image Super-Resolution under Arbitrary Transformation | 21 | cvpr | 9 | 2 | 2023-06-03 14:29:25.082000 | https://github.com/sanghyun-son/srwarp | 94 | SRWarp: Generalized image super-resolution under arbitrary transformation | https://scholar.google.com/scholar?cluster=2617927953153752522&hl=en&as_sdt=0,33 | 7 | 2,021 |
Point Cloud Upsampling via Disentangled Refinement | 72 | cvpr | 7 | 10 | 2023-06-03 14:29:25.277000 | https://github.com/liruihui/Dis-PU | 57 | Point cloud upsampling via disentangled refinement | https://scholar.google.com/scholar?cluster=621432179935144707&hl=en&as_sdt=0,33 | 3 | 2,021 |
Riggable 3D Face Reconstruction via In-Network Optimization | 28 | cvpr | 11 | 10 | 2023-06-03 14:29:25.470000 | https://github.com/zqbai-jeremy/INORig | 134 | Riggable 3d face reconstruction via in-network optimization | https://scholar.google.com/scholar?cluster=1590327969363368005&hl=en&as_sdt=0,3 | 11 | 2,021 |
Anti-Aliasing Semantic Reconstruction for Few-Shot Semantic Segmentation | 33 | cvpr | 6 | 3 | 2023-06-03 14:29:25.664000 | https://github.com/Bibkiller/ASR | 13 | Anti-aliasing semantic reconstruction for few-shot semantic segmentation | https://scholar.google.com/scholar?cluster=10066436287730165739&hl=en&as_sdt=0,44 | 1 | 2,021 |
Masksembles for Uncertainty Estimation | 44 | cvpr | 10 | 9 | 2023-06-03 14:29:25.857000 | https://github.com/nikitadurasov/masksembles | 87 | Masksembles for uncertainty estimation | https://scholar.google.com/scholar?cluster=8793330525655669666&hl=en&as_sdt=0,5 | 3 | 2,021 |
S2R-DepthNet: Learning a Generalizable Depth-Specific Structural Representation | 34 | cvpr | 35 | 11 | 2023-06-03 14:29:26.051000 | https://github.com/microsoft/S2R-DepthNet | 161 | S2r-depthnet: Learning a generalizable depth-specific structural representation | https://scholar.google.com/scholar?cluster=13231358957211408773&hl=en&as_sdt=0,10 | 10 | 2,021 |
ACTION-Net: Multipath Excitation for Action Recognition | 96 | cvpr | 45 | 7 | 2023-06-03 14:29:26.245000 | https://github.com/V-Sense/ACTION-Net | 182 | Action-net: Multipath excitation for action recognition | https://scholar.google.com/scholar?cluster=7419477302114680323&hl=en&as_sdt=0,5 | 11 | 2,021 |
FFB6D: A Full Flow Bidirectional Fusion Network for 6D Pose Estimation | 125 | cvpr | 65 | 47 | 2023-06-03 14:29:26.438000 | https://github.com/ethnhe/FFB6D | 220 | Ffb6d: A full flow bidirectional fusion network for 6d pose estimation | https://scholar.google.com/scholar?cluster=18291440380943792483&hl=en&as_sdt=0,33 | 7 | 2,021 |
The Heterogeneity Hypothesis: Finding Layer-Wise Differentiated Network Architectures | 13 | cvpr | 0 | 0 | 2023-06-03 14:29:26.631000 | https://github.com/ofsoundof/Heterogeneity_Hypothesis | 9 | The heterogeneity hypothesis: Finding layer-wise differentiated network architectures | https://scholar.google.com/scholar?cluster=4465443810300018794&hl=en&as_sdt=0,5 | 3 | 2,021 |
CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation | 141 | cvpr | 34 | 19 | 2023-06-03 14:29:26.825000 | https://github.com/microsoft/CoCosNet-v2 | 321 | Cocosnet v2: Full-resolution correspondence learning for image translation | https://scholar.google.com/scholar?cluster=11302776795234140037&hl=en&as_sdt=0,5 | 19 | 2,021 |
Three Ways To Improve Semantic Segmentation With Self-Supervised Depth Estimation | 54 | cvpr | 28 | 4 | 2023-06-03 14:29:27.019000 | https://github.com/lhoyer/improving_segmentation_with_selfsupervised_depth | 224 | Three ways to improve semantic segmentation with self-supervised depth estimation | https://scholar.google.com/scholar?cluster=15846260331884670403&hl=en&as_sdt=0,5 | 9 | 2,021 |
A Fourier-Based Framework for Domain Generalization | 165 | cvpr | 20 | 5 | 2023-06-03 14:29:27.213000 | https://github.com/MediaBrain-SJTU/FACT | 120 | A fourier-based framework for domain generalization | https://scholar.google.com/scholar?cluster=3133270315407407724&hl=en&as_sdt=0,3 | 1 | 2,021 |
Self-Supervised Motion Learning From Static Images | 21 | cvpr | 28 | 4 | 2023-06-03 14:29:27.407000 | https://github.com/alibaba-mmai-research/TAdaConv | 163 | Self-supervised motion learning from static images | https://scholar.google.com/scholar?cluster=15224416147268474185&hl=en&as_sdt=0,5 | 8 | 2,021 |
iMiGUE: An Identity-Free Video Dataset for Micro-Gesture Understanding and Emotion Analysis | 33 | cvpr | 4 | 1 | 2023-06-03 14:29:27.599000 | https://github.com/linuxsino/iMiGUE | 33 | iMiGUE: An identity-free video dataset for micro-gesture understanding and emotion analysis | https://scholar.google.com/scholar?cluster=16225884599772598439&hl=en&as_sdt=0,4 | 3 | 2,021 |
Probabilistic Modeling of Semantic Ambiguity for Scene Graph Generation | 44 | cvpr | 7 | 0 | 2023-06-03 14:29:27.794000 | https://github.com/IIGROUP/PUM | 17 | Probabilistic modeling of semantic ambiguity for scene graph generation | https://scholar.google.com/scholar?cluster=13595340087031567164&hl=en&as_sdt=0,33 | 3 | 2,021 |
Subsets and Splits