CVPR 2022 论文和开源项目合集(papers with code)!
CVPR 2022 收录列表ID:https://drive.google.com/file/d/15JFhfPboKdUcIH9LdbCMUFmGq_JhaxhC/view
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[3D Face](#3D Face)
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[视频生成(Video Generation)](#Video Generation)
A ConvNet for the 2020s
- Paper: https://arxiv.org/abs/2201.03545
- Code: https://github.com/facebookresearch/ConvNeXt
- 中文解读:https://mp.weixin.qq.com/s/Xg5wPYExnvTqRo6s5-2cAw
Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs
MPViT : Multi-Path Vision Transformer for Dense Prediction
- Paper: https://arxiv.org/abs/2112.11010
- Code: https://github.com/youngwanLEE/MPViT
- 中文解读: https://mp.weixin.qq.com/s/Q9-crEOz5IYzZaNoq8oXfg
Mobile-Former: Bridging MobileNet and Transformer
- Paper: https://arxiv.org/abs/2108.05895
- Code: None
- 中文解读:https://mp.weixin.qq.com/s/yo5KmB2Y7t2R4jiOKI87HQ
MetaFormer is Actually What You Need for Vision
Shunted Self-Attention via Multi-Scale Token Aggregation
- Paper(Oral): https://arxiv.org/abs/2111.15193
- Code: https://github.com/OliverRensu/Shunted-Transformer
TVConv: Efficient Translation Variant Convolution for Layout-aware Visual Processing
HairCLIP: Design Your Hair by Text and Reference Image
PointCLIP: Point Cloud Understanding by CLIP
Blended Diffusion for Text-driven Editing of Natural Images
SemanticStyleGAN: Learning Compositional Generative Priors for Controllable Image Synthesis and Editing
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Homepage: https://semanticstylegan.github.io/
Style Transformer for Image Inversion and Editing
Unsupervised Image-to-Image Translation with Generative Prior
- Homepage: https://www.mmlab-ntu.com/project/gpunit/
- Paper: https://arxiv.org/abs/2204.03641
- Code: https://github.com/williamyang1991/GP-UNIT
StyleGAN-V: A Continuous Video Generator with the Price, Image Quality and Perks of StyleGAN2
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Homepage: https://universome.github.io/stylegan-v
OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks
- Paper: https://wanyu-lin.github.io/assets/publications/wanyu-cvpr2022.pdf
- Code: https://github.com/WanyuGroup/CVPR2022-OrphicX
β-DARTS: Beta-Decay Regularization for Differentiable Architecture Search
ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image Prior
- Paper: https://arxiv.org/abs/2111.15362
- Code: None
SwinTextSpotter: Scene Text Spotting via Better Synergy between Text Detection and Text Recognition
Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields
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Homepage: https://jonbarron.info/mipnerf360/
Point-NeRF: Point-based Neural Radiance Fields
- Homepage: https://xharlie.github.io/projects/project_sites/pointnerf/
- Paper: https://arxiv.org/abs/2201.08845
- Code: https://github.com/Xharlie/point-nerf
NeRF in the Dark: High Dynamic Range View Synthesis from Noisy Raw Images
- Paper: https://arxiv.org/abs/2111.13679
- Homepage: https://bmild.github.io/rawnerf/
- Demo: https://www.youtube.com/watch?v=JtBS4KBcKVc
Urban Radiance Fields
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Homepage: https://urban-radiance-fields.github.io/
Pix2NeRF: Unsupervised Conditional π-GAN for Single Image to Neural Radiance Fields Translation
HumanNeRF: Free-viewpoint Rendering of Moving People from Monocular Video
ImFace: A Nonlinear 3D Morphable Face Model with Implicit Neural Representations
Retrieval Augmented Classification for Long-Tail Visual Recognition
- Paper: https://arxiv.org/abs/2202.11233
- Code: None
MPViT : Multi-Path Vision Transformer for Dense Prediction
MetaFormer is Actually What You Need for Vision
Mobile-Former: Bridging MobileNet and Transformer
- Paper: https://arxiv.org/abs/2108.05895
- Code: None
- 中文解读:https://mp.weixin.qq.com/s/yo5KmB2Y7t2R4jiOKI87HQ
Shunted Self-Attention via Multi-Scale Token Aggregation
- Paper(Oral): https://arxiv.org/abs/2111.15193
- Code: https://github.com/OliverRensu/Shunted-Transformer
Language-based Video Editing via Multi-Modal Multi-Level Transformer
- Paper: https://arxiv.org/abs/2104.01122
- Code: None
MixSTE: Seq2seq Mixed Spatio-Temporal Encoder for 3D Human Pose Estimation in Video
- Paper: https://arxiv.org/abs/2203.00859
- Code: None
Embracing Single Stride 3D Object Detector with Sparse Transformer
- Paper: https://arxiv.org/abs/2112.06375
- Code: https://github.com/TuSimple/SST
- 中文解读:https://zhuanlan.zhihu.com/p/476056546
Multi-class Token Transformer for Weakly Supervised Semantic Segmentation
Spatio-temporal Relation Modeling for Few-shot Action Recognition
Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction
Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling
- Homepage: https://point-bert.ivg-research.xyz/
- Paper: https://arxiv.org/abs/2111.14819
- Code: https://github.com/lulutang0608/Point-BERT
GroupViT: Semantic Segmentation Emerges from Text Supervision
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Homepage: https://jerryxu.net/GroupViT/
Restormer: Efficient Transformer for High-Resolution Image Restoration
Splicing ViT Features for Semantic Appearance Transfer
- Homepage: https://splice-vit.github.io/
- Paper: https://arxiv.org/abs/2201.00424
- Code: https://github.com/omerbt/Splice
Self-supervised Video Transformer
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Homepage: https://kahnchana.github.io/svt/
Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers
Accelerating DETR Convergence via Semantic-Aligned Matching
DN-DETR: Accelerate DETR Training by Introducing Query DeNoising
- Paper: https://arxiv.org/abs/2203.01305
- Code: https://github.com/FengLi-ust/DN-DETR
- 中文解读: https://mp.weixin.qq.com/s/xdMfZ_L628Ru1d1iaMny0w
Style Transformer for Image Inversion and Editing
MonoDTR: Monocular 3D Object Detection with Depth-Aware Transformer
Mask Transfiner for High-Quality Instance Segmentation
Language as Queries for Referring Video Object Segmentation
- Paper: https://arxiv.org/abs/2201.00487
- Code: https://github.com/wjn922/ReferFormer
- 中文解读:https://mp.weixin.qq.com/s/MkQT8QWSYoYVhJ1RSF6oPQ
X-Trans2Cap: Cross-Modal Knowledge Transfer using Transformer for 3D Dense Captioning
AdaMixer: A Fast-Converging Query-Based Object Detector
- Paper(Oral): https://arxiv.org/abs/2203.16507
- Code: https://github.com/MCG-NJU/AdaMixer
Omni-DETR: Omni-Supervised Object Detection with Transformers
SwinTextSpotter: Scene Text Spotting via Better Synergy between Text Detection and Text Recognition
TransRAC: Encoding Multi-scale Temporal Correlation with Transformers for Repetitive Action Counting
- Paper(Oral): https://arxiv.org/abs/2204.01018
- Code: https://github.com/SvipRepetitionCounting/TransRAC
Collaborative Transformers for Grounded Situation Recognition
NFormer: Robust Person Re-identification with Neighbor Transformer
Boosting Robustness of Image Matting with Context Assembling and Strong Data Augmentation
- Paper: https://arxiv.org/abs/2201.06889
- Code: None
Not All Tokens Are Equal: Human-centric Visual Analysis via Token Clustering Transformer
- Paper(Oral): https://arxiv.org/abs/2204.08680
- Code: https://github.com/zengwang430521/TCFormer
A New Dataset and Transformer for Stereoscopic Video Super-Resolution
- Paper: https://arxiv.org/abs/2204.10039
- Code: https://github.com/H-deep/Trans-SVSR/
- Dataset: http://shorturl.at/mpwGX
Conditional Prompt Learning for Vision-Language Models
Bridging Video-text Retrieval with Multiple Choice Question
UniVIP: A Unified Framework for Self-Supervised Visual Pre-training
- Paper: https://arxiv.org/abs/2203.06965
- Code: None
Crafting Better Contrastive Views for Siamese Representation Learning
- Paper: https://arxiv.org/abs/2202.03278
- Code: https://github.com/xyupeng/ContrastiveCrop
- 中文解读:https://mp.weixin.qq.com/s/VTP9D5f7KG9vg30U9kVI2A
HCSC: Hierarchical Contrastive Selective Coding
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Homepage: https://github.com/gyfastas/HCSC
TeachAugment: Data Augmentation Optimization Using Teacher Knowledge
AlignMix: Improving representation by interpolating aligned features
- Paper: https://arxiv.org/abs/2103.15375
- Code: None
Decoupled Knowledge Distillation
- Paper: https://arxiv.org/abs/2203.08679
- Code: https://github.com/megvii-research/mdistiller
- 中文解读:https://mp.weixin.qq.com/s/-4AA0zKIXh9Ei9-vc5jOhw
BoxeR: Box-Attention for 2D and 3D Transformers
- Paper: https://arxiv.org/abs/2111.13087
- Code: https://github.com/kienduynguyen/BoxeR
- 中文解读:https://mp.weixin.qq.com/s/UnUJJBwcAsRgz6TnQf_b7w
DN-DETR: Accelerate DETR Training by Introducing Query DeNoising
- Paper: https://arxiv.org/abs/2203.01305
- Code: https://github.com/FengLi-ust/DN-DETR
- 中文解读: https://mp.weixin.qq.com/s/xdMfZ_L628Ru1d1iaMny0w
Accelerating DETR Convergence via Semantic-Aligned Matching
Localization Distillation for Dense Object Detection
- Paper: https://arxiv.org/abs/2102.12252
- Code: https://github.com/HikariTJU/LD
- Code2: https://github.com/HikariTJU/LD
- 中文解读:https://mp.weixin.qq.com/s/dxss8RjJH283h6IbPCT9vg
Focal and Global Knowledge Distillation for Detectors
- Paper: https://arxiv.org/abs/2111.11837
- Code: https://github.com/yzd-v/FGD
- 中文解读:https://mp.weixin.qq.com/s/yDkreTudC8JL2V2ETsADwQ
A Dual Weighting Label Assignment Scheme for Object Detection
AdaMixer: A Fast-Converging Query-Based Object Detector
- Paper(Oral): https://arxiv.org/abs/2203.16507
- Code: https://github.com/MCG-NJU/AdaMixer
Omni-DETR: Omni-Supervised Object Detection with Transformers
SIGMA: Semantic-complete Graph Matching for Domain Adaptive Object Detection
- Paper(Oral): https://arxiv.org/abs/2203.06398
- Code: https://github.com/CityU-AIM-Group/SIGMA
Dense Learning based Semi-Supervised Object Detection
Correlation-Aware Deep Tracking
- Paper: https://arxiv.org/abs/2203.01666
- Code: None
TCTrack: Temporal Contexts for Aerial Tracking
Visible-Thermal UAV Tracking: A Large-Scale Benchmark and New Baseline
Learning of Global Objective for Network Flow in Multi-Object Tracking
- Paper: https://arxiv.org/abs/2203.16210
- Code: None
Novel Class Discovery in Semantic Segmentation
- Homepage: https://ncdss.github.io/
- Paper: https://arxiv.org/abs/2112.01900
- Code: https://github.com/HeliosZhao/NCDSS
Class Re-Activation Maps for Weakly-Supervised Semantic Segmentation
Multi-class Token Transformer for Weakly Supervised Semantic Segmentation
Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers
CLIMS: Cross Language Image Matching for Weakly Supervised Semantic Segmentation
CCAM: Contrastive learning of Class-agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation
FIFO: Learning Fog-invariant Features for Foggy Scene Segmentation
- Homeapage: http://cvlab.postech.ac.kr/research/FIFO/
- Paper(Oral): https://arxiv.org/abs/2204.01587
- Code: https://github.com/sohyun-l/FIFO
ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation
- Paper: https://arxiv.org/abs/2106.05095
- Code: https://github.com/LiheYoung/ST-PlusPlus
- 中文解读:https://mp.weixin.qq.com/s/knSnlebdtEnmrkChGM_0CA
Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels
- Homepage: https://haochen-wang409.github.io/U2PL/
- Paper: https://arxiv.org/abs/2203.03884
- Code: https://github.com/Haochen-Wang409/U2PL
- 中文解读: https://mp.weixin.qq.com/s/-08olqE7np8A1XQzt6HAgQ
Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation
Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation
GroupViT: Semantic Segmentation Emerges from Text Supervision
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Homepage: https://jerryxu.net/GroupViT/
BoxeR: Box-Attention for 2D and 3D Transformers
- Paper: https://arxiv.org/abs/2111.13087
- Code: https://github.com/kienduynguyen/BoxeR
- 中文解读:https://mp.weixin.qq.com/s/UnUJJBwcAsRgz6TnQf_b7w
E2EC: An End-to-End Contour-based Method for High-Quality High-Speed Instance Segmentation
Mask Transfiner for High-Quality Instance Segmentation
Open-World Instance Segmentation: Exploiting Pseudo Ground Truth From Learned Pairwise Affinity
FreeSOLO: Learning to Segment Objects without Annotations
Efficient Video Instance Segmentation via Tracklet Query and Proposal
- Homepage: https://jialianwu.com/projects/EfficientVIS.html
- Paper: https://arxiv.org/abs/2203.01853
- Demo: https://youtu.be/sSPMzgtMKCE
Temporally Efficient Vision Transformer for Video Instance Segmentation
Integrative Few-Shot Learning for Classification and Segmentation
Learning to Affiliate: Mutual Centralized Learning for Few-shot Classification
Learning What Not to Segment: A New Perspective on Few-Shot Segmentation
Integrative Few-Shot Learning for Classification and Segmentation
Boosting Robustness of Image Matting with Context Assembling and Strong Data Augmentation
- Paper: https://arxiv.org/abs/2201.06889
- Code: None
Self-supervised Video Transformer
- Homepage: https://kahnchana.github.io/svt/
- Paper: https://arxiv.org/abs/2112.01514
- Code: https://github.com/kahnchana/svt
TransRAC: Encoding Multi-scale Temporal Correlation with Transformers for Repetitive Action Counting
- Paper(Oral): https://arxiv.org/abs/2204.01018
- Code: https://github.com/SvipRepetitionCounting/TransRAC
FineDiving: A Fine-grained Dataset for Procedure-aware Action Quality Assessment
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Paper(Oral): https://arxiv.org/abs/2204.03646
Dual-AI: Dual-path Actor Interaction Learning for Group Activity Recognition
- Paper(Oral): https://arxiv.org/abs/2204.02148
- Code: None
Spatio-temporal Relation Modeling for Few-shot Action Recognition
End-to-End Semi-Supervised Learning for Video Action Detection
- Paper: https://arxiv.org/abs/2203.04251
- Code: None
Style Transformer for Image Inversion and Editing
Blended Diffusion for Text-driven Editing of Natural Images
SemanticStyleGAN: Learning Compositional Generative Priors for Controllable Image Synthesis and Editing
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Homepage: https://semanticstylegan.github.io/
ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image Prior
- Paper: https://arxiv.org/abs/2111.15362
- Code: None
Restormer: Efficient Transformer for High-Resolution Image Restoration
Learning the Degradation Distribution for Blind Image Super-Resolution
BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment
- Paper: https://arxiv.org/abs/2104.13371
- Code: https://github.com/open-mmlab/mmediting
- Code: https://github.com/ckkelvinchan/BasicVSR_PlusPlus
- 中文解读:https://mp.weixin.qq.com/s/HZTwYfphixyLHxlbCAxx4g
Look Back and Forth: Video Super-Resolution with Explicit Temporal Difference Modeling
- Paper: https://arxiv.org/abs/2204.07114
- Code: None
A New Dataset and Transformer for Stereoscopic Video Super-Resolution
- Paper: https://arxiv.org/abs/2204.10039
- Code: https://github.com/H-deep/Trans-SVSR/
- Dataset: http://shorturl.at/mpwGX
Learning to Deblur using Light Field Generated and Real Defocus Images
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Homepage: http://lyruan.com/Projects/DRBNet/
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Paper(Oral): https://arxiv.org/abs/2204.00442
Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling
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Homepage: https://point-bert.ivg-research.xyz/
A Unified Query-based Paradigm for Point Cloud Understanding
- Paper: https://arxiv.org/abs/2203.01252
- Code: None
CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding
PointCLIP: Point Cloud Understanding by CLIP
Not All Points Are Equal: Learning Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds
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Paper(Oral): https://arxiv.org/abs/2203.11139
BoxeR: Box-Attention for 2D and 3D Transformers
- Paper: https://arxiv.org/abs/2111.13087
- Code: https://github.com/kienduynguyen/BoxeR
- 中文解读:https://mp.weixin.qq.com/s/UnUJJBwcAsRgz6TnQf_b7w
Embracing Single Stride 3D Object Detector with Sparse Transformer
Canonical Voting: Towards Robust Oriented Bounding Box Detection in 3D Scenes
MonoDTR: Monocular 3D Object Detection with Depth-Aware Transformer
HyperDet3D: Learning a Scene-conditioned 3D Object Detector
- Paper: https://arxiv.org/abs/2204.05599
- Code: None
OccAM's Laser: Occlusion-based Attribution Maps for 3D Object Detectors on LiDAR Data
DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detection
- Homepage: https://thudair.baai.ac.cn/index
- Paper: https://arxiv.org/abs/2204.05575
- Code: https://github.com/AIR-THU/DAIR-V2X
Scribble-Supervised LiDAR Semantic Segmentation
Beyond 3D Siamese Tracking: A Motion-Centric Paradigm for 3D Single Object Tracking in Point Clouds
PTTR: Relational 3D Point Cloud Object Tracking with Transformer
MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation
MixSTE: Seq2seq Mixed Spatio-Temporal Encoder for 3D Human Pose Estimation in Video
- Paper: https://arxiv.org/abs/2203.00859
- Code: None
Distribution-Aware Single-Stage Models for Multi-Person 3D Pose Estimation
- Paper: https://arxiv.org/abs/2203.07697
- Code: None
- 中文解读:https://mp.weixin.qq.com/s/L_F28IFLXvs5R4V9TTUpRw
BEV: Putting People in their Place: Monocular Regression of 3D People in Depth
- Homepage: https://arthur151.github.io/BEV/BEV.html
- Paper: https://arxiv.org/abs/2112.08274
- Code: https://github.com/Arthur151/ROMP
- Dataset: https://github.com/Arthur151/Relative_Human
- Demo: https://www.youtube.com/watch?v=Q62fj_6AxRI
MonoScene: Monocular 3D Semantic Scene Completion
BANMo: Building Animatable 3D Neural Models from Many Casual Videos
- Homepage: https://banmo-www.github.io/
- Paper: https://arxiv.org/abs/2112.12761
- Code: https://github.com/facebookresearch/banmo
- 中文解读:https://mp.weixin.qq.com/s/NMHP8-xWwrX40vpGx55Qew
NFormer: Robust Person Re-identification with Neighbor Transformer
Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object Detection
NeW CRFs: Neural Window Fully-connected CRFs for Monocular Depth Estimation
- Paper: https://arxiv.org/abs/2203.01502
- Code: None
OmniFusion: 360 Monocular Depth Estimation via Geometry-Aware Fusion
- Paper: https://arxiv.org/abs/2203.00838
- Code: None
Toward Practical Self-Supervised Monocular Indoor Depth Estimation
- Paper: https://arxiv.org/abs/2112.02306
- Code: None
P3Depth: Monocular Depth Estimation with a Piecewise Planarity Prior
Multi-Frame Self-Supervised Depth with Transformers
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Code: None
ACVNet: Attention Concatenation Volume for Accurate and Efficient Stereo Matching
Rethinking Efficient Lane Detection via Curve Modeling
- Paper: https://arxiv.org/abs/2203.02431
- Code: https://github.com/voldemortX/pytorch-auto-drive
- Demo:https://user-images.githubusercontent.com/32259501/148680744-a18793cd-f437-461f-8c3a-b909c9931709.mp4
A Keypoint-based Global Association Network for Lane Detection
Incremental Transformer Structure Enhanced Image Inpainting with Masking Positional Encoding
Correlation Verification for Image Retrieval
- Paper(Oral): https://arxiv.org/abs/2204.01458
- Code: https://github.com/sungonce/CVNet
AdaFace: Quality Adaptive Margin for Face Recognition
- Paper(Oral): https://arxiv.org/abs/2204.00964
- Code: https://github.com/mk-minchul/AdaFace
Leveraging Self-Supervision for Cross-Domain Crowd Counting
- Paper: https://arxiv.org/abs/2103.16291
- Code: None
BoostMIS: Boosting Medical Image Semi-supervised Learning with Adaptive Pseudo Labeling and Informative Active Annotation
- Paper: https://arxiv.org/abs/2203.02533
- Code: None
Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification
StyleGAN-V: A Continuous Video Generator with the Price, Image Quality and Perks of StyleGAN2
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Homepage: https://universome.github.io/stylegan-v
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Demo: https://kaust-cair.s3.amazonaws.com/stylegan-v/stylegan-v.mp4
SGTR: End-to-end Scene Graph Generation with Transformer
- Paper: https://arxiv.org/abs/2112.12970
- Code: None
Language as Queries for Referring Video Object Segmentation
ReSTR: Convolution-free Referring Image Segmentation Using Transformers
- Paper: https://arxiv.org/abs/2203.16768
- Code: None
Gait Recognition in the Wild with Dense 3D Representations and A Benchmark
- Homepage: https://gait3d.github.io/
- Paper: https://arxiv.org/abs/2204.02569
- Code: https://github.com/Gait3D/Gait3D-Benchmark
StyleMesh: Style Transfer for Indoor 3D Scene Reconstructions
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Homepage: https://lukashoel.github.io/stylemesh/
Shadows can be Dangerous: Stealthy and Effective Physical-world Adversarial Attack by Natural Phenomenon
LAS-AT: Adversarial Training with Learnable Attack Strategy
- Paper(Oral): https://arxiv.org/abs/2203.06616
- Code: https://github.com/jiaxiaojunQAQ/LAS-AT
Weakly Supervised Object Localization as Domain Adaption
Exploiting Temporal Relations on Radar Perception for Autonomous Driving
- Paper: https://arxiv.org/abs/2204.01184
- Code: None
Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction
Deep Rectangling for Image Stitching: A Learning Baseline
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Paper(Oral): https://arxiv.org/abs/2203.03831
Deep 3D-to-2D Watermarking: Embedding Messages in 3D Meshes and Extracting Them from 2D Renderings
- Paper: https://arxiv.org/abs/2104.13450
- Code: None
TransRAC: Encoding Multi-scale Temporal Correlation with Transformers for Repetitive Action Counting
- Paper(Oral): https://arxiv.org/abs/2204.01018
- Dataset: https://svip-lab.github.io/dataset/RepCount_dataset.html
- Code: https://github.com/SvipRepetitionCounting/TransRAC
Collaborative Transformers for Grounded Situation Recognition
Unseen Classes at a Later Time? No Problem
- Paper: https://arxiv.org/abs/2203.16517
- Code: https://github.com/sumitramalagi/Unseen-classes-at-a-later-time
It's About Time: Analog Clock Reading in the Wild
- Homepage: https://charigyang.github.io/abouttime/
- Paper: https://arxiv.org/abs/2111.09162
- Code: https://github.com/charigyang/itsabouttime
- Demo: https://youtu.be/cbiMACA6dRc
Toward Practical Self-Supervised Monocular Indoor Depth Estimation
- Paper: https://arxiv.org/abs/2112.02306
- Code: None
Kubric: A scalable dataset generator
- Paper: https://arxiv.org/abs/2203.03570
- Code: https://github.com/google-research/kubric
- 中文解读:https://mp.weixin.qq.com/s/mJ8HzY6C0GifxsErJIS3Mg
Scribble-Supervised LiDAR Semantic Segmentation
Deep Rectangling for Image Stitching: A Learning Baseline
- Paper(Oral): https://arxiv.org/abs/2203.03831
- Code: https://github.com/nie-lang/DeepRectangling
- Dataset: https://github.com/nie-lang/DeepRectangling
- 中文解读:https://mp.weixin.qq.com/s/lp5AnrtO_9urp-Fv6Z0l2Q
ObjectFolder 2.0: A Multisensory Object Dataset for Sim2Real Transfer
- Homepage: https://ai.stanford.edu/~rhgao/objectfolder2.0/
- Paper: https://arxiv.org/abs/2204.02389
- Dataset: https://github.com/rhgao/ObjectFolder
- Demo:https://youtu.be/e5aToT3LkRA
Shape from Polarization for Complex Scenes in the Wild
- Homepage: https://chenyanglei.github.io/sfpwild/index.html
- Paper: https://arxiv.org/abs/2112.11377
- Code: https://github.com/ChenyangLEI/sfp-wild
Visible-Thermal UAV Tracking: A Large-Scale Benchmark and New Baseline
TransRAC: Encoding Multi-scale Temporal Correlation with Transformers for Repetitive Action Counting
- Paper(Oral): https://arxiv.org/abs/2204.01018
- Dataset: https://svip-lab.github.io/dataset/RepCount_dataset.html
- Code: https://github.com/SvipRepetitionCounting/TransRAC
FineDiving: A Fine-grained Dataset for Procedure-aware Action Quality Assessment
- Paper(Oral): https://arxiv.org/abs/2204.03646
- Dataset: https://github.com/xujinglin/FineDiving
- Code: https://github.com/xujinglin/FineDiving
- 中文解读:https://mp.weixin.qq.com/s/8t12Y34eMNwvJr8PeryWXg
Aesthetic Text Logo Synthesis via Content-aware Layout Inferring
- Paper: https://arxiv.org/abs/2204.02701
- Dataset: https://github.com/yizhiwang96/TextLogoLayout
- Code: https://github.com/yizhiwang96/TextLogoLayout
DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detection
- Homepage: https://thudair.baai.ac.cn/index
- Paper: https://arxiv.org/abs/2204.05575
- Code: https://github.com/AIR-THU/DAIR-V2X
A New Dataset and Transformer for Stereoscopic Video Super-Resolution
- Paper: https://arxiv.org/abs/2204.10039
- Code: https://github.com/H-deep/Trans-SVSR/
- Dataset: http://shorturl.at/mpwGX
Language-based Video Editing via Multi-Modal Multi-Level Transformer
- Paper: https://arxiv.org/abs/2104.01122
- Code: None
It's About Time: Analog Clock Reading in the Wild
- Homepage: https://charigyang.github.io/abouttime/
- Paper: https://arxiv.org/abs/2111.09162
- Code: https://github.com/charigyang/itsabouttime
- Demo: https://youtu.be/cbiMACA6dRc
Splicing ViT Features for Semantic Appearance Transfer
- Homepage: https://splice-vit.github.io/
- Paper: https://arxiv.org/abs/2201.00424
- Code: https://github.com/omerbt/Splice
Kubric: A scalable dataset generator
- Paper: https://arxiv.org/abs/2203.03570
- Code: https://github.com/google-research/kubric
- 中文解读:https://mp.weixin.qq.com/s/mJ8HzY6C0GifxsErJIS3Mg
X-Trans2Cap: Cross-Modal Knowledge Transfer using Transformer for 3D Dense Captioning
Balanced MSE for Imbalanced Visual Regression
- Paper(Oral): https://arxiv.org/abs/2203.16427
- Code: https://github.com/jiawei-ren/BalancedMSE
SNUG: Self-Supervised Neural Dynamic Garments
- Homepage: http://mslab.es/projects/SNUG/
- Paper(Oral): https://arxiv.org/abs/2204.02219
- Code: https://github.com/isantesteban/snug
Shape from Polarization for Complex Scenes in the Wild
- Homepage: https://chenyanglei.github.io/sfpwild/index.html
- Paper: https://arxiv.org/abs/2112.11377
- Code: https://github.com/ChenyangLEI/sfp-wild
LASER: LAtent SpacE Rendering for 2D Visual Localization
- Paper(Oral): https://arxiv.org/abs/2204.00157
- Code: None
Single-Photon Structured Light
- Paper(Oral): https://arxiv.org/abs/2204.05300
- Code: None
3DeformRS: Certifying Spatial Deformations on Point Clouds
- Paper: https://arxiv.org/abs/2204.05687
- Code: None
Aesthetic Text Logo Synthesis via Content-aware Layout Inferring
- Paper: https://arxiv.org/abs/2204.02701
- Dataset: https://github.com/yizhiwang96/TextLogoLayout
- Code: https://github.com/yizhiwang96/TextLogoLayout
Self-Supervised Predictive Learning: A Negative-Free Method for Sound Source Localization in Visual Scenes
Robust and Accurate Superquadric Recovery: a Probabilistic Approach
- Paper(Oral): https://arxiv.org/abs/2111.14517
- Code: https://github.com/bmlklwx/EMS-superquadric_fitting
Towards Bidirectional Arbitrary Image Rescaling: Joint Optimization and Cycle Idempotence
- Paper: https://arxiv.org/abs/2203.00911
- Code: None
Not All Tokens Are Equal: Human-centric Visual Analysis via Token Clustering Transformer
- Paper(Oral): https://arxiv.org/abs/2204.08680
- Code: https://github.com/zengwang430521/TCFormer