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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 |
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