CVPR-2022-Papers

Website：https://cvpr2022.thecvf.com/

Table of Contents

🐱	🐶	🐯	🐺
1.Other	2.Image Segmentation	3.Image Progress	4.Image Captioning
5.Object Detection	6.Object Tracking	7.Point Cloud	8.Action Detection
9.Human Pose Estimation	10.3D	11.Face	12.Image-to-Image Translation
13.GAN	14.Video	15.Transformer	16.Semi/self-supervised learning
17.Medical Image	18.Person Re-Identification	19.Neural Architecture Search	20.Autonomous vehicles
21.UAV/Remote Sensing/Satellite Image	22.Image Synthesis/Generation	23.Image Retrieval	24.Super-Resolution
25.Fine-Grained/Image Classification	26.GCN/GNN	27.Pose Estimation	28.Style Transfer
29.Augmented Reality/Virtual Reality/Robotics	30.Visual Answer Questions	31.Vision-Language	32.Data Augmentation
33.Human-Object Interaction	34.Model Compression/Knowledge Distillation/Pruning	35.OCR	36.Optical Flow
37.Contrastive Learning	38.Meta-Learning	39.Continual Learning	40.Adversarial Learning
41.Incremental Learning	42.Metric Learning	43.Multi-Task Learning	44.Federated Learning
45.Dense Prediction	46.Scene Graph Generation	47.Few/Zero-Shot Learning/Domain Generalization/Adaptation	48.Visual Grounding
49.Image Geo-localization	50.Anomaly Detection	51. Optical, Light Field Imaging	52.Human Motion Forecasting
53.Sign Language Translation	54.Dataset	55.Novel View Synthesis	56.Sound
57.Gaze Estimation	58.Neural rendering	59. Animation	60.Visual Emotion Analysis

Machine Translation

• VALHALLA: Visual Hallucination for Machine Translation
  🏠project

computer-aided design (CAD)

• Neural Face Identification in a 2D Wireframe Projection of a Manifold Object
  ⭐code

60.Visual Emotion Analysis

• MDAN: Multi-level Dependent Attention Network for Visual Emotion Analysis

59.Animation

Image Animation

• Thin-Plate Spline Motion Model for Image Animation
• Character Animation
  • Structured Local Radiance Fields for Human Avatar Modeling
• 3D character animation(3D Character Animation)
  • Skin Prediction
    • SkinningNet: Two-Stream Graph Convolutional Neural Network for Skinning Prediction of Synthetic Characters
      🏠project
• 3D Dance Generation
  • Bailando: 3D Dance Generation by Actor-Critic GPT with Choreographic Memory

58.Neural rendering

• Learning Motion-Dependent Appearance for High-Fidelity Rendering of Dynamic Humans from a Single Camera
• IRON: Inverse Rendering by Optimizing Neural SDFs and Materials from Photometric Images
  😮oral🏠project
• SqueezeNeRF: Further factorized FastNeRF for memory-efficient inference
• Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstruction
  ⭐code
• Modeling Indirect Illumination for Inverse Rendering
  ⭐code🏠project
• GenDR: A Generalized Differentiable Renderer
  ⭐code
  
• CLIP-NeRF: Text-and-Image Driven Manipulation of Neural Radiance Fields
  ⭐code🏠project
• NeRF-Editing: Geometry Editing of Neural Radiance Fields

57.Gaze Estimation

• GazeOnce: Real-Time Multi-Person Gaze Estimation

56.Sound

• Sound Source localization
  • Self-Supervised Predictive Learning: A Negative-Free Method for Sound Source Localization in Visual Scenes
    ⭐code

55.Novel View Synthesis

• NPBG++: Accelerating Neural Point-Based Graphics
  🏠project
• AutoRF: Learning 3D Object Radiance Fields from Single View Observations
  🏠project
• NeurMiPs: Neural Mixture of Planar Experts for View Synthesis
  ⭐code🏠project📺video📰here

54.Dataset

• ObjectFolder 2.0: A Multisensory Object Dataset for Sim2Real Transfer
  ⭐code🏠project📰here
• Assembly101: A Large-Scale Multi-View Video Dataset for Understanding Procedural Activities
• 3MASSIV: Multilingual, Multimodal and Multi-Aspect dataset of Social Media Short Videos
• Hephaestus: A large scale multitask dataset towards InSAR understanding
• SmartPortraits: Depth Powered Handheld Smartphone Dataset of Human Portraits for State Estimation, Reconstruction and Synthesis
  🌻dataset
• AKB-48: A Real-World Articulated Object Knowledge Base
  ⭐code
  📰here
• Primitive3D: 3D Object Dataset Synthesis from Randomly Assembled Primitives
• Satellite Dataset
  • DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation
• Animal Behavior Understanding Dataset
  • Animal Kingdom: A Large and Diverse Dataset for Animal Behavior Understanding
    😮oral🏠project🌻dataset

53.Sign Language Translation

• A Simple Multi-Modality Transfer Learning Baseline for Sign Language Translation

52.Human Motion Forecasting

• Motron: Multimodal Probabilistic Human Motion Forecasting
• Progressively Generating Better Initial Guesses Towards Next Stages for High-Quality Human Motion Prediction

51.Optical, geometric, light field imaging

• Light Field
  • Occlusion-Aware Cost Constructor for Light Field Depth Estimation
    ⭐code📰here
• Deep Reconstruction
  • Deep Hyperspectral-Depth Reconstruction Using Single Color-Dot Projection
    ⭐code🏠project📺video
• Shutter Correction
  • Learning Adaptive Warping for Real-World Rolling Shutter Correction
    ⭐code
• Thermal Infrared Imaging
  • Infrared Invisible Clothing:Hiding from Infrared Detectors at Multiple Angles in Real World
    😮oral

50.Anomaly Detection

• Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection
  ⭐code
• Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection
  ⭐code

49.Image Geo-localization

• TransGeo: Transformer Is All You Need for Cross-view Image Geo-localization
  ⭐code
• Visual Geolocation
  • Rethinking Visual Geo-localization for Large-Scale Applications
    ⭐code
  • Deep Visual Geo-localization Benchmark
    😮oral🏠project
• Trajectory reconstruction
  • MonoTrack: Shuttle trajectory reconstruction from monocular badminton video

48.Visual Grounding

• Multi-View Transformer for 3D Visual Grounding
  ⭐code
• Improving Visual Grounding with Visual-Linguistic Verification and Iterative Reasoning
  ⭐code
  Visual Positioning，Target location through natural language （very interesting research）

47.Few/Zero-Shot Learning/Domain Generalization/Adaptation

• Few-Shot
  • Few-shot Learning with Noisy Labels
  • Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference
    🏠project📺video
  • Few-shot Backdoor Defense Using Shapley Estimation
    📰here
• Zero Sample
  • MSDN: Mutually Semantic Distillation Network for Zero-Shot Learning
    ⭐code📰here
  • Unseen Classes at a Later Time? No Problem
    ⭐code
  • KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot Learning
    ⭐code
    📰解读
• Domain Generalization
  • Compound Domain Generalization via Meta-Knowledge Encoding
  • Causality Inspired Representation Learning for Domain Generalization
  • Towards Unsupervised Domain Generalization
    Task（domain generalization(DG)），unsupervised learning, unsupervised domain generalization(UDG)。
  • out-of-domain generalization
    • The Two Dimensions of Worst-case Training and the Integrated Effect for Out-of-domain Generalization
• Domain Adaptation
  • Continual Test-Time Domain Adaptation
    ⭐code
  • Safe Self-Refinement for Transformer-based Domain Adaptation
    ⭐code📰here
  • Source-Free Domain Adaptation via Distribution Estimation
    📰here
  • Learning Distinctive Margin toward Active Domain Adaptation
    ⭐code
    📰here
  • Unsupervised Domain Adaptation
    • Reusing the Task-specific Classifier as a Discriminator: Discriminator-free Adversarial Domain Adaptation
      ⭐code

46.Scene Graph Generation

• HL-Net: Heterophily Learning Network for Scene Graph Generatio
  ⭐code
  Heterogeneous Learning Network
  📰here
• RU-Net: Regularized Unrolling Network for Scene Graph Generation
  ⭐code
  Regular expansion network
  📰here

45.Dense Prediction

• Does Robustness on ImageNet Transfer to Downstream Tasks?

44.Federated Learning

• CD2-pFed: Cyclic Distillation-guided Channel Decoupling for Model Personalization in Federated Learning
• Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage
  ⭐code
• FedCorr: Multi-Stage Federated Learning for Label Noise Correction
  ⭐code
• Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning

43.Multi-Task Learning

• Controllable Dynamic Multi-Task Architectures
• Task Adaptive Parameter Sharing for Multi-Task Learning

👉🏼 You can learn about Multi-Task Learning trough my course: https://courses.thinkautonomous.ai/hydranets

42.Metric Learning

• Self-Taught Metric Learning without Labels

41.Incremental Learning

• incremental learning
  • Energy-based Latent Aligner for Incremental Learning
    ⭐code
  • General Incremental Learning with Domain-aware Categorical Representations
• Class incremental learning
  • Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches
  • Constrained Few-shot Class-incremental Learning
    ⭐code
  • Class-Incremental Learning with Strong Pre-trained Models

40.Adversarial Learning

• Give Me Your Attention: Dot-Product Attention Considered Harmful for Adversarial Patch Robustness
• Masking Adversarial Damage: Finding Adversarial Saliency for Robust and Sparse Network
• Towards Practical Certifiable Patch Defense with Vision Transformer
  📰here
• Adversarial example
  • Label-Only Model Inversion Attacks via Boundary Repulsion
  • Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection
    ⭐code
• Against Attack
  • Shadows can be Dangerous: Stealthy and Effective Physical-world Adversarial Attack by Natural Phenomenon
• Black Box
  • Investigating Top-k White-Box and Transferable Black-box Attack
    ⭐code
  • DST: Dynamic Substitute Training for Data-free Black-box Attack
  • Bandits for Structure Perturbation-based Black-box Attacks to Graph Neural Networks with Theoretical Guarantees
    😮oral
• Adversarial Training
  • LAS-AT: Adversarial Training with Learnable Attack Strategy
    😮oral⭐code
    📰CVPR 2022 LAS-AT，Adversarial training using "learnable attack strategies"”

39.Continual Learning

• On Generalizing Beyond Domains in Cross-Domain Continual Learning
• Probing Representation Forgetting in Supervised and Unsupervised Continual Learning
• Online Continual Learning on a Contaminated Data Stream with Blurry Task Boundaries
  ⭐code

38.Meta-Learning

• What Matters For Meta-Learning Vision Regression Tasks?
• Multidimensional Belief Quantification for Label-Efficient Meta-Learning

37.Contrastive Learning

• Selective-Supervised Contrastive Learning with Noisy Labels
  ⭐code📰here
• Frame-wise Action Representations for Long Videos via Sequence Contrastive Learning
  ⭐code
• Cam-Ready: UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning
• Use All The Labels: A Hierarchical Multi-Label Contrastive Learning Framework
  ⭐code
• Crafting Better Contrastive Views for Siamese Representation Learning
  😮oral⭐code

36.Optical Flow

• CRAFT: Cross-Attentional Flow Transformer for Robust Optical Flow
  ⭐code
• DIP: Deep Inverse Patchmatch for High-Resolution Optical Flow
• Imposing Consistency for Optical Flow Estimation
• Deep Equilibrium Optical Flow Estimation
  ⭐code📰解读
• GMFlow: Learning Optical Flow via Global Matching
  😮oral⭐code📰here

👉🏼 You can learn about Optical Flow through: https://courses.thinkautonomous.ai/optical-flow

35.OCR

• Scene Text Detection
  • Towards End-to-End Unified Scene Text Detection and Layout Analysis
    ⭐code
  • Pushing the Performance Limit of Scene Text Recognizer without Human Annotation
  • Vision-Language Pre-Training for Boosting Scene Text Detectors
    Visual language pre-training, scene text detection, the code will be open source, the address has not been announced。
• Text Spotting
  • Text Spotting Transformers
    ⭐code📰here
• LOGO设计
  • Aesthetic Text Logo Synthesis via Content-aware Layout Inferring
    ⭐code
    📰CVPR 2022
• Font Generation
  • XMP-Font: Self-Supervised Cross-Modality Pre-training for Few-Shot Font Generation
  • (Oral)Look Closer to Supervise Better: One-Shot Font Generation via Component-Based Discriminator
    （A direction of great commercial value）
  • Few-Shot Font Generation by Learning Fine-Grained Local Styles
• Text Recognition
  • Open-set Text Recognition via Character-Context Decoupling
• Table structure recognition
  • Neural Collaborative Graph Machines for Table Structure Recognition
    📰here

34.Model Compression/Knowledge Distillation/Pruning

• Knowledge Distillation
  • Knowledge Distillation with the Reused Teacher Classifier
  • DearKD: Data-Efficient Early Knowledge Distillation for Vision Transformers
    📰here
  • Decoupled Knowledge Distillation
    ⭐code
    📰Hinton
  • Knowledge Distillation via the Target-aware Transformer
    😮oral
• Model Compression
  • CHEX: CHannel EXploration for CNN Model Compression
• Model Pruning
  • Revisiting Random Channel Pruning for Neural Network Compression
    ⭐code
    📰here

👉🏼 You can learn about this entire category through: https://courses.thinkautonomous.ai/neural-optimization

33.Human-Object Interaction

• HOI4D: A 4D Egocentric Dataset for Category-Level Human-Object Interaction
• MSTR: Multi-Scale Transformer for End-to-End Human-Object Interaction Detection
• GEN-VLKT: Simplify Association and Enhance Interaction Understanding for HOI Detection
  ⭐code
• OakInk: A Large-scale Knowledge Repository for Understanding Hand-Object Interaction
  ⭐code
  📰here
• D-Grasp: Physically Plausible Dynamic Grasp Synthesis for Hand-Object Interactions
  🏠code
• What to look at and where: Semantic and Spatial Refined Transformer for detecting human-object interactions
  😮oral
• Human-Object Interaction Detection via Disentangled Transformer
• Consistency Learning via Decoding Path Augmentation for Transformers in Human Object Interaction Detection
  ⭐code📰here
• Interactiveness Field in Human-Object Interactions
  ⭐code
• Stability-driven Contact Reconstruction From Monocular Color Images
  ⭐code
  Reconstruction of Hand-Object Interaction through monocular images，
• Interactiveness Field of Human-Object Interactions
  ⭐code
  📰here
• Tracking
  • BEHAVE: Dataset and Method for Tracking Human Object Interactions
    🏠project

32.Data Augmentation

• 🐦️AlignMix: Improving representation by interpolating aligned features
• 3D Common Corruptions and Data Augmentation
  ⭐code🏠project📺video📰here
• Kubric: A scalable dataset generator

31.Vision-Language

• Unsupervised Vision-Language Parsing: Seamlessly Bridging Visual Scene Graphs with Language Structures via Dependency Relationships
• VL-InterpreT: An Interactive Visualization Tool for Interpreting Vision-Language Transformers
• Winoground: Probing Vision and Language Models for Visio-Linguistic Compositionality
  🌻dataset
• Robust Cross-Modal Representation Learning with Progressive Self-Distillation
• Prompt Distribution Learning
  。
• Vision-Language Pre-Training with Triple Contrastive Learning
  ⭐code
• VLN
  • EnvEdit: Environment Editing for Vision-and-Language Navigation
    ⭐code
  • Counterfactual Cycle-Consistent Learning for Instruction Following and Generation in Vision-Language Navigation
  • Reinforced Structured State-Evolution for Vision-Language Navigation
    ⭐code📰here

30.Visual Answer Questions

• VQA
  • SimVQA: Exploring Simulated Environments for Visual Question Answering
    🏠project
  • SwapMix: Diagnosing and Regularizing the Over-Reliance on Visual Context in Visual Question Answering
    ⭐code📰here
• AVQA
  • Learning to Answer Questions in Dynamic Audio-Visual Scenarios
    😮oral⭐code
    📰CVPR 2022 Oral
• Video-QA
  • Measuring Compositional Consistency for Video Question Answering

29.Augmented Reality/Virtual Reality/Robotics

• Target Navigation
  • Online Learning of Reusable Abstract Models for Object Goal Navigation
• try-on
  • Dressing in the Wild by Watching Dance Videos
    🏠project
  • Style-Based Global Appearance Flow for Virtual Try-On
    ⭐code
  • ClothFormer:Taming Video Virtual Try-on in All Module
    😮oral⭐code🏠project📰here
• AR
  • Episodic Memory Question Answering
    😮oral⭐code
    AI）
• Robotics
  • Hand-Object Pose Estimation
    • ArtiBoost: Boosting Articulated 3D Hand-Object Pose Estimation via Online Exploration and Synthesis
      ⭐code
      📰paper

28.Style Transfer

• Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer
  ⭐code
• Industrial Style Transfer with Large-scale Geometric Warping and Content Preservation
  ⭐code
• Movement Style Transfer
  • Style-ERD: Responsive and Coherent Online Motion Style Transfer
• Movement Transfer
  • Structure-Aware Motion Transfer with Deformable Anchor Model
    ⭐code📰paper
• Scene Stylization
  • StylizedNeRF: Consistent 3D Scene Stylization as Stylized NeRF via 2D-3D Mutual Learning

27.Pose Estimation

• OSOP: A Multi-Stage One Shot Object Pose Estimation Framework
• OnePose: One-Shot Object Pose Estimation without CAD Models
  ⭐code🏠project📰paper
• 4D
  • Revealing Occlusions with 4D Neural Fields
    😮oral⭐code🏠project
• 9D
  • CPPF: Towards Robust Category-Level 9D Pose Estimation in the Wild
    ⭐code📰paper📓
• Monocular Object Pose Estimation
  • EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation
    ⭐code
• 6D
  • RNNPose: Recurrent 6-DoF Object Pose Refinement with Robust Correspondence Field Estimation and Pose Optimization
  • FS6D: Few-Shot 6D Pose Estimation of Novel Objects
    ⭐code🏠project📰here
  • Uni6D: A Unified CNN Framework without Projection Breakdown for 6D Pose Estimation
  • ES6D: A Computation Efficient and Symmetry-Aware 6D Pose Regression Framework
    ⭐code
  • Focal Length and Object Pose Estimation via Render and Compare
    ⭐code🏠project📰paper
  • DGECN: A Depth-Guided Edge Convolutional Network for End-to-End 6D Pose Estimation
    ⭐code🏠project📰here
  • Coupled Iterative Refinement for 6D Multi-Object Pose Estimation
    ⭐code📰here
• 3D Object Articulation
  • Understanding 3D Object Articulation in Internet Videos
    🏠project
• 3Dope
  • Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions
    ⭐code

26.GCN/GNN

• GNN
  • 🐦️Lifelong Graph Learning
    ⭐code
  • AEGNN: Asynchronous Event-based Graph Neural Networks
  • "The Pedestrian next to the Lamppost" Adaptive Object Graphs for Better Instantaneous Mapping

25.Fine-Grained/Image Classification

• Fine-Grained Classification
  • Dynamic MLP for Fine-Grained Image Classification by Leveraging Geographical and Temporal Information
    ⭐code📰here📓
• Image Classification
  • DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification
    ⭐code
  • Contrastive Test-Time Adaptation
    🏠project
• Few-Shot Classification
  • CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification
  • Matching Feature Sets for Few-Shot Image Classification
    ⭐code🏠project📺video
  • Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification
    😮oral⭐code🏠project📰here
  • Learning to Affiliate: Mutual Centralized Learning for Few-shot Classification
    📰here
  • Generating Representative Samples for Few-Shot Classification
    ⭐code
    📰here
    SOTA。
  • Few-Shot Classification & Segmentation(FS-CS)
    • Integrative Few-Shot Learning for Classification and Segmentation
• Long Tail Recognition
  • Nested Collaborative Learning for Long-Tailed Visual Recognition
  • Long-Tailed Recognition via Weight Balancing
    ⭐code
  • Targeted Supervised Contrastive Learning for Long-Tailed Recognition
• Fine-Grained Identification
  • Knowledge Mining with Scene Text for Fine-Grained Recognition
    ⭐code📰here

24.Super-Resolution

• Learning Graph Regularisation for Guided Super-Resolution
• Self-Supervised Super-Resolution for Multi-Exposure Push-Frame Satellites
  ⭐code🏠project📰here
• Deep Constrained Least Squares for Blind Image Super-Resolution
  ⭐code📰here

23.Image Retrieval

• Sketching without Worrying: Noise-Tolerant Sketch-Based Image Retrieval
  ⭐code
• Correlation Verification for Image Retrieval
  😮oral⭐code
• Sketch3T: Test-Time Training for Zero-Shot SBIR
• Beyond Cross-view Image Retrieval: Highly Accurate Vehicle Localization Using Satellite Image
• Text-Video Retrieval
  • X-Pool: Cross-Modal Language-Video Attention for Text-Video Retrieval
    🏠project
    📰X-Pool
  • Bridging Video-text Retrieval with Multiple Choice Questions
    ⭐code
    📰《BridgeFormer
• Cross-Modal Search
  • ViSTA: Vision and Scene Text Aggregation for Cross-Modal Retrieval

22.Image Synthesis/Generation

• Interactive Image Synthesis with Panoptic Layout Generation
• Autoregressive Image Generation using Residual Quantization
  ⭐code📰here
• GIRAFFE HD: A High-Resolution 3D-aware Generative Model
• Arbitrary-Scale Image Synthesis
  ⭐code📰here
• Multi-View Consistent Generative Adversarial Networks for 3D-aware Image Synthesis
  ⭐code📰here
• Learning to Memorize Feature Hallucination for One-Shot Image Generation
  📰here
• Text-Guided Image processing
  • ManiTrans: Entity-Level Text-Guided Image Manipulation via Token-wise Semantic Alignment and Generation
    😮oral🏠project
• Pose-Guided Image Synthesis
  • Exploring Dual-task Correlation for Pose Guided Person Image Generation
    ⭐code📰here
• Text-To-Image Synthesis
  • StyleT2I: Toward Compositional and High-Fidelity Text-to-Image Synthesis
  • Text-to-Image Synthesis based on Object-Guided Joint-Decoding Transformer
    📰here
  • LAFITE: Towards Language-Free Training for Text-to-Image Generation
    ⭐code
• Image Translation
  • FlexIT: Towards Flexible Semantic Image Translation
  • A Style-aware Discriminator for Controllable Image Translation
• Image Generation
  • Marginal Contrastive Correspondence for Guided Image Generation
    😮oral
  • OSSGAN: Open-Set Semi-Supervised Image Generation
    ⭐code
  • A Closer Look at Few-shot Image Generation

21.UAV/Remote Sensing/Satellite Image

• Remote Sensing Image Fusion
  • HyperTransformer: A Textural and Spectral Feature Fusion Transformer for Pansharpening
    ⭐code📰粗解
• Aerial Image Segmentation
  • Revisiting Near/Remote Sensing with Geospatial Attention

20.Autonomous vehicles

• Autopilot
  • Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data
  • Exploiting Temporal Relations on Radar Perception for Autonomous Driving
  • COOPERNAUT: End-to-End Driving with Cooperative Perception for Networked Vehicles
    ⭐code🏠project📰here
• Lane Line Detection
  • Rethinking Efficient Lane Detection via Curve Modeling
    ⭐code📰here
    📓
  • Towards Driving-Oriented Metric for Lane Detection Models
  • A Keypoint-based Global Association Network for Lane Detection
    ⭐code📰here
  • Monocular 3D Lane Detection
    • ONCE-3DLanes: Building Monocular 3D Lane Detection
      ⭐code
      
• Lane Line Description
  • Eigenlanes: Data-Driven Lane Descriptors for Structurally Diverse Lanes
    ⭐code
  • CLRNet: Cross Layer Refinement Network for Lane Detection
    📰here
• Behavior Predictioj
  • 🐦️JRDB-Act: A Large-scale Dataset for Spatio-temporal Action, Social Group and Activity Detection
• Autopilot Scene Relighting
  • SIMBAR: Single Image-Based Scene Relighting For Effective Data Augmentation For Automated Driving Vision Tasks
    🏠project

👉🏼 You can learn about Autonomous Vehicles trough my course: https://courses.thinkautonomous.ai/self-driving-cars

19.Neural Architecture Search

• 🐦️ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image Prior
• Arch-Graph: Acyclic Architecture Relation Predictor for Task-Transferable Neural Architecture Search
  ⭐code📰解读
• GPUNet: Searching the Deployable Convolution Neural Networks for GPUs
  (Efficient Net)

18.Person Re-Identification

• Reid
  • Part-based Pseudo Label Refinement for Unsupervised Person Re-identification
    ⭐code
  • Camera-Conditioned Stable Feature Generation for Isolated Camera Supervised Person Re-IDentification
  • Large-Scale Pre-training for Person Re-identification with Noisy Labels
    ⭐code
  • Cloning Outfits from Real-World Images to 3D Characters for Generalizable Person Re-Identification
    ⭐code
  • Implicit Sample Extension for Unsupervised Person Re-Identification
    ⭐code📰here
  • Graph Sampling Based Deep Metric Learning for Generalizable Person Re-Identification
    ⭐code
  • NFormer: Robust Person Re-identification with Neighbor Transformer
    ⭐code📰here
  • Dual Cross-Attention Learning for Fine-Grained Visual Categorization and Object Re-Identification
  • Dress-up Pedestrian Re-identification
    • Clothes-Changing Person Re-identification with RGB Modality Only
      ⭐code📰here
  • Occlusion Pedestrian Re-ID
    • Feature Erasing and Diffusion Network for Occluded Person Re-Identification
• Crowd Counting
  • Leveraging Self-Supervision for Cross-Domain Crowd Counting
  • Boosting Crowd Counting via Multifaceted Attention
    ⭐code
  • Bi-level Alignment for Cross-Domain Crowd Counting
    ⭐code
    📰here
• Pedestrian Detection
  • STCrowd: A Multimodal Dataset for Pedestrian Perception in Crowded Scenes
    ⭐code
• Gait Recognition
  • Gait Recognition in the Wild with Dense 3D Representations and A Benchmark
    ⭐code🏠project
    📰paper
• Person Search
  • PSTR: End-to-End One-Step Person Search With Transformers
    ⭐code

17.Medical Image

• Temporal Context Matters: Enhancing Single Image Prediction with Disease Progression Representations
• BoostMIS: Boosting Medical Image Semi-supervised Learning with Adaptive Pseudo Labeling and Informative Active Annotation
• DeepLIIF: An Online Platform for Quantification of Clinical Pathology Slides
• DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis
  ⭐code📰paper
• Surpassing the Human Accuracy: Detecting Gallbladder Cancer from USG Images with Curriculum Learning
  ⭐code🏠project
• 3D Bio Printing
  • Generating 3D Bio-Printable Patches Using Wound Segmentation and Reconstruction to Treat Diabetic Foot Ulcers
    
• SR（ＭRI）
  • Transformer-empowered Multi-scale Contextual Matching and Aggregation for Multi-contrast MRI Super-resolution
    ⭐code
• Medical Image Registration
  • Affine Medical Image Registration with Coarse-to-Fine Vision Transformer
    ⭐code
• Medical Image Analysis
  • FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysis
    ⭐code📰here

16.Semi/self-supervised learning

• Self-Supervised
  • A study on the distribution of social biases in self-supervised learning visual models
  • Learning Where to Learn in Cross-View Self-Supervised Learning
  • Leverage Your Local and Global Representations: A New Self-Supervised Learning Strategy
• Semi-Supervised
  • Class-Aware Contrastive Semi-Supervised Learning
    📰here
  • RSCFed: Random Sampling Consensus Federated Semi-supervised Learning
    ⭐code
  • FisherMatch: Semi-Supervised Rotation Regression via Entropy-based Filtering
    😮oral🏠project
  • Semi-Supervised Learning of Semantic Correspondence with Pseudo-Labels
• Weakly Supervised
  • P3IV: Probabilistic Procedure Planning from Instructional Videos with Weak Supervision
    ⭐code
    

15.Transformer

• Fast Point Transformer
• ChiTransformer:Towards Reliable Stereo from Cues
• Beyond Fixation: Dynamic Window Visual Transformer
• Training-free Transformer Architecture Search
  📰here
• Automated Progressive Learning for Efficient Training of Vision Transformers
  ⭐code
• Collaborative Transformers for Grounded Situation Recognition
  ⭐code
• TubeDETR: Spatio-Temporal Video Grounding with Transformers
  😮oral⭐code🏠project
• Deformable Video Transformer
• MixFormer: Mixing Features across Windows and Dimensions
  😮oral⭐code📰here
• Are Multimodal Transformers Robust to Missing Modality?
• MiniViT: Compressing Vision Transformers with Weight Multiplexing
• Multimodal Token Fusion for Vision Transformers
• Not All Tokens Are Equal: Human-centric Visual Analysis via Token Clustering Transformer
  😮oral⭐code📰here
• UTC: A Unified Transformer with Inter-Task Contrastive Learning for Visual Dialog
  Transformer
• Patch Slimming for Efficient Vision Transformers
  📰here
• Swin Transformer V2: Scaling Up Capacity and Resolution
  ⭐code
  📰Swin Transformer v2.0
• SimMIM: A Simple Framework for Masked Image Modeling
  ⭐code
• NomMer: Nominate Synergistic Context in Vision Transformer for Visual Recognition
  ⭐code
  📰here
• Mobile-Former: Bridging MobileNet and Transformer
• MulT: An End-to-End Multitask Learning Transformer
• Shape Completion
  • ShapeFormer: Transformer-based Shape Completion via Sparse Representation
    ⭐code🏠project

14.Video

• Stochastic Backpropagation: A Memory Efficient Strategy for Training Video Models
  😮oral
• Action Segmentation
  • Unsupervised Activity Segmentation by Joint Representation Learning and Online Clustering
    📺video
  • Weakly-Supervised Online Action Segmentation in Multi-View Instructional Videos
• Action Understanding
  • How Do You Do It? Fine-Grained Action Understanding with Pseudo-Adverbs
  • Bridge-Prompt: Towards Ordinal Action Understanding in Instructional Videos
    ⭐code
• Video Copy Detection
  • A Large-scale Comprehensive Dataset and Copy-overlap Aware Evaluation Protocol for Segment-level Video Copy Detection
    ⭐code
• Video Synthesis
  • Show Me What and Tell Me How: Video Synthesis via Multimodal Conditioning
    ⭐code
  • 3D Moments from Near-Duplicate Photos
    🏠project
• Video Anomaly Detection
  • Generative Cooperative Learning for Unsupervised Video Anomaly Detection
  • Bayesian Nonparametric Submodular Video Partition for Robust Anomaly Detection
• Video Surveillance
  • Trajectory Prediction
    • How many Observations are Enough? Knowledge Distillation for Trajectory Forecasting
    • Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion
      ⭐code
    • Non-Probability Sampling Network for Stochastic Human Trajectory Prediction
      ⭐code
• Video Moment Retrieval & Highlight Detection
  • UMT: Unified Multi-modal Transformers for Joint Video Moment Retrieval and Highlight Detection
    ⭐code
  • Learning Pixel-Level Distinctions for Video Highlight Detection
• Video Moment Retrieval
  • AxIoU: An Axiomatically Justified Measure for Video Moment Retrieval
• Video POrediction
  • STRPM: A Spatiotemporal Residual Predictive Model for High-Resolution Video Prediction
  • Continual Predictive Learning from Videos
    😮oral⭐code
• Video Individual Count
  • DR.VIC: Decomposition and Reasoning for Video Individual Counting
    ⭐code
• Frame Interpolation
  • Many-to-many Splatting for Efficient Video Frame Interpolation
    ⭐code
  • TimeReplayer: Unlocking the Potential of Event Cameras for Video Interpolation
  • Long-term Video Frame Interpolation via Feature Propagation
  • Time Lens++: Event-based Frame Interpolation with Parametric Non-linear Flow and Multi-scale Fusion
• Visual Correspondence
  • Locality-Aware Inter-and Intra-Video Reconstruction for Self-Supervised Correspondence Learning
    ⭐code
• Video Recognition
  • BEVT: BERT Pretraining of Video Transformers
    ⭐code📰Transformer
• Video Classification
  • Zero-Shot
    • Alignment-Uniformity aware Representation Learning for Zero-shot Video Classification
• Video Prediction
  • Hand Motion Prediction
    • Joint Hand Motion and Interaction Hotspots Prediction from Egocentric Videos
      🏠project📺video
• Video Segmentation
  • Modeling Motion with Multi-Modal Features for Text-Based Video Segmentation
    ⭐code
  • VOS
    • Recurrent Dynamic Embedding for Video Object Segmentation
      ⭐code
  • Video Instance Segmentation(VIS)
    • Efficient Video Instance Segmentation via Tracklet Query and Proposal
      🏠project📺video📰粗解
    • Temporally Efficient Vision Transformer for Video Instance Segmentation
      😮oral⭐code📰解读
  • Video Semantic Segmentation
    • Coarse-to-Fine Feature Mining for Video Semantic Segmentation
      ⭐code
  • Video Panorama Segmentation
    • Video K-Net: A Simple, Strong, and Unified Baseline for Video Segmentation
      😮oral⭐code📰解读
• Video Image Processing
  • Super Resolution
    • Reference-based Video Super-Resolution Using Multi-Camera Video Triplets
    • Learning Trajectory-Aware Transformer for Video Super-Resolution
      😮oral⭐code
    • Investigating Tradeoffs in Real-World Video Super-Resolution
      ⭐code📰here
    • BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment
      ⭐code🏠project📺video
      🏆NTIRE 2021
    • Look Back and Forth: Video Super-Resolution with Explicit Temporal Difference Modeling
      📰ETDM
    • Memory-Augmented Non-Local Attention for Video Super-Resolution
      📰here
  • Video Recovery
    • Neural Global Shutter: Learn to Restore Video from a Rolling Shutter Camera with Global Reset Feature
      ⭐code
  • Video Repair
    • Towards An End-to-End Framework for Flow-Guided Video Inpainting
  • Video to Moiré
    • Video Demoireing with Relation-Based Temporal Consistency
      🏠project📺video
  • Deblur
    • Multi-Scale Memory-Based Video Deblurring
  • Denoising
    • Dancing under the stars: video denoising in starlight
      ⭐code
  • Movie Restoration
    • Bringing Old Films Back to Life
      ⭐code
• Representation Learning (Video)
  • TransRank: Self-supervised Video Representation Learning via Ranking-based Transformation Recognition
    😮oral⭐code📰here
  • Self-Supervised Representation Learning
    • Hierarchical Self-supervised Representation Learning for Movie Understanding
      ⭐code🏠project
    • Learning from Untrimmed Videos: Self-Supervised Video Representation Learning with Hierarchical Consistency
    • Cross-Architecture Self-supervised Video Representation Learning
      ⭐code📰here
  • Video Comparison Learning
    • Probabilistic Representations for Video Contrastive Learning
• Video Decomposition
  • Deformable Sprites for Unsupervised Video Decomposition
    😮oral🏠project
• Shadow Detection
  • Video Shadow Detection via Spatio-Temporal Interpolation Consistency Training
    ⭐code
• Frame Interpolation
  • IFRNet: Intermediate Feature Refine Network for Efficient Frame Interpolation
    📰here
  • Video Frame Interpolation with Transformer
    ⭐code
    📰here
• VSS
  • Scene Consistency Representation Learning for Video Scene Segmentation
    ⭐code
    📰here
• VSR
  • Spatial-Temporal Space Hand-in-Hand: Spatial-Temporal Video Super-Resolution via Cycle-Projected Mutual Learning
    ⭐code
    📰here
• Video Reconstruction
  • Context-Aware Video Reconstruction for Rolling Shutter Cameras
    ⭐code📰here

13.GAN

• 🐦️HyperInverter: Improving StyleGAN Inversion via Hypernetwork
  🏠project
• InsetGAN for Full-Body Image Generation
  🏠project
  📰1024x1024 Inset GAN
• Commonality in Natural Images Rescues GANs: Pretraining GANs with Generic and Privacy-free Synthetic Data
  ⭐code
• Deep Image-based Illumination Harmonization
• GAN-Supervised Dense Visual Alignment
  😮oral⭐code🏠project📺video
  📰CVPR2022 Oral：GAN
• HairMapper: Removing Hair from Portraits Using GANs
  ⭐code
• Image Tampering Detection
  • Proactive Image Manipulation Detection
    ⭐code
• Hair Editing
  • HairCLIP: Design Your Hair by Text and Reference Image
    ⭐code

12.Image-to-Image Translation

• Exploring Patch-wise Semantic Relation for Contrastive Learning in Image-to-Image Translation Tasks
• Maximum Spatial Perturbation Consistency for Unpaired Image-to-Image Translation
• InstaFormer: Instance-Aware Image-to-Image Translation with Transformer
• Unsupervised Image-to-Image Translation with Generative Prior
  ⭐code🏠project📺video

11.Face

• Protecting Celebrities with Identity Consistency Transformer
• Deepfake
  • Voice-Face Homogeneity Tells Deepfake
    ⭐code📰here
• Makeup Migration
  • Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-robust Makeup Transfer
• Face Recognition
  • Local-Adaptive Face Recognition via Graph-based Meta-Clustering and Regularized Adaptation
  • Killing Two Birds with One Stone:Efficient and Robust Training of Face Recognition CNNs by Partial FC
    ⭐code
  • AdaFace: Quality Adaptive Margin for Face Recognition
    😮oral⭐code
• Facial Expression Recognition
  • Towards Semi-Supervised Deep Facial Expression Recognition with An Adaptive Confidence Margin
    ⭐code
• 3D Face Modeling
  • ImFace: A Nonlinear 3D Morphable Face Model with Implicit Neural Representations
  • Learning to Restore 3D Face from In-the-Wild Degraded Images
    📰here
• Liveness Detection
  • PatchNet: A Simple Face Anti-Spoofing Framework via Fine-Grained Patch Recognition
• DeepFake Detection
  • Exploring Frequency Adversarial Attacks for Face Forgery Detection
    📰here
• Face Swap
  • High-resolution Face Swapping via Latent Semantics Disentanglement
    ⭐code
• Face Attribute Classification
  • Fair Contrastive Learning for Facial Attribute Classification
    ⭐code
• Face Relighting
  • Face Relighting with Geometrically Consistent Shadows
• Face Editing
  • TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing
    ⭐code🏠project
• Face Illusion
  • Escaping Data Scarcity for High-Resolution Heterogeneous Face Hallucination
• Deepfake
  • Detecting Deepfakes with Self-Blended Images
    😮oral⭐code
• Face Reconstruction
  • JIFF: Jointly-aligned Implicit Face Function for High Quality Single View Clothed Human Reconstruction
    ⭐code🏠project📰here
• Face Capture
  • EMOCA: Emotion Driven Monocular Face Capture and Animation
    🏠project
• Change Head
  • Few-Shot Head Swapping in the Wild
    😮oral⭐code🏠project📺video📰here
• Portrait Distortion Correction
  • Semi-Supervised Wide-Angle Portraits Correction by Multi-Scale Transformer
    ⭐code📰here
• 3D Face Modeling
  • Physically-guided Disentangled Implicit Rendering for 3D Face Modeling
    📰here
• Face Repair
  • Blind Face Restoration via Integrating Face Shape and Generative Priors
    📰here

10.3D Vision

• Disentangled3D: Learning a 3D Generative Model with Disentangled Geometry and Appearance from Monocular Images
• Depth-Guided Sparse Structure-from-Motion for Movies and TV Shows
  ⭐code
• 3D-SPS: Single-Stage 3D Visual Grounding via Referred Point Progressive Selection
  😮oral⭐code📰here
• Stereo Merging
  • PSMNet: Position-aware Stereo Merging Network for Room Layout Estimation
  • GraftNet: Towards Domain Generalized Stereo Matching with a Broad-Spectrum and Task-Oriented Feature
    ⭐code
  • Degradation-agnostic Correspondence from Resolution-asymmetric Stereo
  • Practical Stereo Matching via Cascaded Recurrent Network with Adaptive Correlation
    😮oral⭐code📰here
• Depth Estimation
  • OmniFusion: 360 Monocular Depth Estimation via Geometry-Aware Fusion
  • NeW CRFs: Neural Window Fully-connected CRFs for Monocular Depth Estimation
  • 🐦️Toward Practical Self-Supervised Monocular Indoor Depth Estimation
  • P3Depth: Monocular Depth Estimation with a Piecewise Planarity Prior
    ⭐code
  • HiMODE: A Hybrid Monocular Omnidirectional Depth Estimation Model
  • Multi-Frame Self-Supervised Depth with Transformers
• Room Layout
  • LGT-Net: Indoor Panoramic Room Layout Estimation with Geometry-Aware Transformer Network
    ⭐code📰here
• MVS
  • RayMVSNet: Learning Ray-based 1D Implicit Fields for Accurate Multi-View Stereo
  • TransMVSNet: Global Context-aware Multi-view Stereo Network with Transformers
    ⭐code📰here
  • Non-parametric Depth Distribution Modelling based Depth Inference for Multi-view Stereo
• 3D Reconstruction
  • PlaneMVS: 3D Plane Reconstruction from Multi-View Stereo
  • Self-supervised Neural Articulated Shape and Appearance Models
    🏠project
  • BNV-Fusion: Dense 3D Reconstruction using Bi-level Neural Volume Fusion
  • Topologically-Aware Deformation Fields for Single-View 3D Reconstruction
    ⭐code🏠project
  • Pre-train, Self-train, Distill: A simple recipe for Supersizing 3D Reconstruction
    ⭐code🏠project📰here
  • What's in your hands? 3D Reconstruction of Generic Objects in Hands
    ⭐code🏠project📺video📰here
  • Surface Reconstruction from Point Clouds by Learning Predictive Context Priors
    ⭐code
  • FvOR: Robust Joint Shape and Pose Optimization for Few-view Object Reconstruction
    ⭐code
    📰here
  • 3D Scene Reconstruction
    • Neural 3D Scene Reconstruction with the Manhattan-world Assumption
      😮oral⭐code🏠project📺video📰here
  • Hand Reconstruction
    • Collaborative Learning for Hand and Object Reconstruction with Attention-guided Graph Convolution
  • 3D Garment Mesh Reconstruction
    • Registering Explicit to Implicit: Towards High-Fidelity Garment mesh Reconstruction from Single Images
      🏠project
    • Photorealistic Monocular 3D Reconstruction of Humans Wearing Clothing
      🏠project
• 3D Shape Reconstruction
  • 3D Shape Reconstruction from 2D Images with Disentangled Attribute Flow
  • GIFS: Neural Implicit Function for General Shape Representation
    🏠project
• 3D Garment Deformation
  • SNUG: Self-Supervised Neural Dynamic Garments
    😮oral⭐code
• Texture Migration & Compositing
  • AUV-Net: Learning Aligned UV Maps for Texture Transfer and Synthesis
    ⭐code🏠project📺video
• Shape Matching
  • A Scalable Combinatorial Solver for Elastic Geometrically Consistent 3D Shape Matching
    ⭐code
  • Deep Orientation-Aware Functional Maps: Tackling Symmetry Issues in Shape Matching
    ⭐code

👉🏼 You can learn about Stereo & 3D Vision here: https://courses.thinkautonomous.ai/stereo-vision

9.Human Pose Estimation

• COAP: Compositional Articulated Occupancy of People
  ⭐code🏠project📺video📰here
• Context-Aware Sequence Alignment using 4D Skeletal Augmentation
  😮oral⭐code🏠project
• Multi-Person Pose Estimation
  • Learning Local-Global Contextual Adaptation for Multi-Person Pose Estimation
• Video-Based HPE
  • Temporal Feature Alignment and Mutual Information Maximization for Video-Based Human Pose Estimation
    ::oral:star:code
• 3D pose
  • MixSTE: Seq2seq Mixed Spatio-Temporal Encoder for 3D Human Pose Estimation in Video
  • PoseTriplet: Co-evolving 3D Human Pose Estimation, Imitation, and Hallucination under Self-supervision
    😮oral⭐code
  • Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation
  • Distribution-Aware Single-Stage Models for Multi-Person 3D Pose Estimation
    📰here
• 4D Human Capture
  • H4D: Human 4D Modeling by Learning Neural Compositional Representation
• Gesture Generation
  • Learning Hierarchical Cross-Modal Association for Co-Speech Gesture Generation
• 3D Hand Grid Estimation
  • HandOccNet: Occlusion-Robust 3D Hand Mesh Estimation Network
• 3D Shape Generation
  • Towards Implicit Text-Guided 3D Shape Generation
  • 3D Dog Shape
    • BARC: Learning to Regress 3D Dog Shape from Images by Exploiting Breed Information
      🏠project
• Motion Capture
  • Neural MoCon: Neural Motion Control for Physically Plausible Human Motion Capture
    🏠project
• Arm-Hand Dynamic Estimation
  • Spatial-Temporal Parallel Transformer for Arm-Hand Dynamic Estimation
• 3D Hand reconstruction
  • LISA: Learning Implicit Shape and Appearance of Hands
    🏠project
• 3D Body Shape
  • OSSO: Obtaining Skeletal Shape from Outside
    ⭐code🏠project📺video📰here
• Dense correspondence
  • BodyMap: Learning Full-Body Dense Correspondence Map
    🏠project
• 3D body movement reconstruction
  • Differentiable Dynamics for Articulated 3d Human Motion Reconstruction
• 3D Human Pose Reconstruction
  • Trajectory Optimization for Physics-Based Reconstruction of 3d Human Pose from Monocular Video

8.Action Detection

• Motion Detection
  • Colar: Effective and Efficient Online Action Detection by Consulting Exemplars
  • Learnable Irrelevant Modality Dropout for Multimodal Action Recognition on Modality-Specific Annotated Videos
  • End-to-End Semi-Supervised Learning for Video Action Detection
  • SPAct: Self-supervised Privacy Preservation for Action Recognition
    ⭐code
  • Temporal Alignment Networks for Long-term Video
    😮oral⭐code🏠project📰paper
  • SOS! Self-supervised Learning Over Sets Of Handled Objects In Egocentric Action Recognition
  • Zero-Shot Action Recognition
    • Cross-modal Representation Learning for Zero-shot Action Recognition
      ⭐code
      
  • Few-Shot Action Recognition
    • Hybrid Relation Guided Set Matching for Few-shot Action Recognition
      ⭐code📰here
  • Sequence Action Detection
    • An Empirical Study of End-to-End Temporal Action Detection
      ⭐code📰paper
• Timing action positioning
  • Weakly Supervised Temporal Action Localization via Representative Snippet Knowledge Propagation
    ⭐code📰here
  • Unsupervised Pre-training for Temporal Action Localization Tasks
    ⭐code
  • ASM-Loc: Action-aware Segment Modeling for Weakly-Supervised Temporal Action Localization
    ⭐code
  • Fine-grained Temporal Contrastive Learning for Weakly-supervised Temporal Action Localization
    ⭐code
  • Structured Attention Composition for Temporal Action Localization
    ⭐code
• Repetitive Action Count
  • TransRAC: Encoding Multi-scale Temporal Correlation with Transformers for Repetitive Action Counting
    😮oral⭐code🏠project
• Group Action Recognition
  • Dual-AI: Dual-path Action Interaction Learning for Group Activity Recognition
    😮oral
  • Detector-Free Weakly Supervised Group Activity Recognition
• Action Quality Assessment
  • FineDiving: A Fine-grained Dataset for Procedure-aware Action Quality Assessment
    😮oral⭐code🏠project📰here

7.Point Clouds

• Shape-invariant 3D Adversarial Point Clouds
  ⭐code
• AziNorm: Exploiting the Radial Symmetry of Point Cloud for Azimuth-Normalized 3D Perception
• REGTR: End-to-end Point Cloud Correspondences with Transformers
  ⭐code
• Equivariant Point Cloud Analysis via Learning Orientations for Message Passing
  ⭐code
• Text2Pos: Text-to-Point-Cloud Cross-Modal Localization
• Deformation and Correspondence Aware Unsupervised Synthetic-to-Real Scene Flow Estimation for Point Clouds
  ⭐code
• Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation
  ⭐code📰paper
• 3DeformRS: Certifying Spatial Deformations on Point Clouds
  ⭐code
• Reconstructing Surfaces for Sparse Point Clouds with On-Surface Priors
  ⭐code📰paper
• Density-preserving Deep Point Cloud Compression
  ⭐code🏠project📰paper
• Surface Representation for Point Clouds
  😮oral⭐code
  📰paper
• 3D 点云
  • CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding
    ⭐code📰paper
    CrossPoint，3D...
  • A Unified Query-based Paradigm for Point Cloud Understanding
  • WarpingGAN: Warping Multiple Uniform Priors for Adversarial 3D Point Cloud Generation
    ⭐code
  • 3D Point Cloud Segmentation
    • Stratified Transformer for 3D Point Cloud Segmentation
      ⭐code
• Point Cloud Classification
  • ART-Point: Improving Rotation Robustness of Point Cloud Classifiers via Adversarial Rotation
    ⭐code📰paper📓
• Point Cloud Registration
  • SC^2-PCR: A Second Order Spatial Compatibility for Efficient and Robust Point Cloud Registration
    ⭐code
    📰(https://mp.weixin.qq.com/s/pOVgC4nvE4YCxe3hyLmkGA)
• Point Cloud Completion
  • Learning a Structured Latent Space for Unsupervised Point Cloud Completion
  • Learning Local Displacements for Point Cloud Completion
  • LAKe-Net: Topology-Aware Point Cloud Completionby Localizing Aligned Keypoints
    📰paper
• Point Cloud Segmentation
  • Contrastive Boundary Learning for Point Cloud Segmentation
    ⭐code📰paper
  • SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation
    ⭐code📰paper
• Scene Flow Estimation
  • RCP: Recurrent Closest Point for Scene Flow Estimation on 3D Point Clouds

👉🏼 You can learn more about point clouds through my intro-course https://courses.thinkautonomous.ai/point-clouds

6.Object Tracking

• TCTrack: Temporal Contexts for Aerial Tracking
  ⭐code📰paper
• Correlation-Aware Deep Tracking
• Global Tracking Transformers
  ⭐code
• Unified Transformer Tracker for Object Tracking
  ⭐code
• Global Tracking via Ensemble of Local Trackers
• Unsupervised Learning of Accurate Siamese Tracking
  ⭐code
• Transformer Tracking with Cyclic Shifting Window Attention
  ⭐code
  Transformer, UAV123, LaSOT, TrackingNet, GOT-10k SOTA.
• 3D Target Tracking
  • Beyond 3D Siamese Tracking: A Motion-Centric Paradigm for 3D Single Object Tracking in Point Clouds
    ⭐code📰paper
• Multi-Target Tracking
  • Learning of Global Objective for Network Flow in Multi-Object Tracking
  • MeMOT: Multi-Object Tracking with Memory
    😮oral
• RGB-Tracking
  • Visible-Thermal UAV Tracking: A Large-Scale Benchmark and New Baseline
    🏠project📰paper
• Visual Tracking
  • Ranking-Based Siamese Visual Tracking
    ⭐code📰paper

👉🏼 Learn more about object tracking though my course https://courses.thinkautonomous.ai/obstacle-tracking

5.Object Detection

• DN-DETR: Accelerate DETR Training by Introducing Query DeNoising
  ⭐code📰paper
• Overcoming Catastrophic Forgetting in Incremental Object Detection via Elastic Response Distillation
  ⭐code
• Beyond Bounding Box: Multimodal Knowledge Learning for Object Detection
  。
• Dynamic Sparse R-CNN
• Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild
  ⭐code📰paper
• Focal and Global Knowledge Distillation for Detectors
  ⭐code📰paper
  
• Group R-CNN for Weakly Semi-supervised Object Detection with Points
  ⭐code
  📰paper
• Real-time Object Detection for Streaming Perception
  ⭐code📰paper
• Ev-TTA: Test-Time Adaptation for Event-Based Object Recognition
• Learning to Prompt for Open-Vocabulary Object Detection with Vision-Language Model
  ⭐code
• Optimal Correction Cost for Object Detection Evaluation
• Expanding Low-Density Latent Regions for Open-Set Object Detection
  ⭐code
  📰paper
• SIOD: Single Instance Annotated Per Category Per Image for Object Detection
  📰paper
• Task-specific Inconsistency Alignment for Domain Adaptive Object Detection
  ⭐code
• Zero-Query Transfer Attacks on Context-Aware Object Detectors
• AdaMixer: A Fast-Converging Query-Based Object Detector
  😮oral⭐code
• Learning to Detect Mobile Objects from LiDAR Scans Without Labels
  ⭐code
• Forecasting from LiDAR via Future Object Detection
  ⭐code
• Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection
  😮oral
• Multi-Granularity Alignment Domain Adaptation for Object Detection
• Proper Reuse of Image Classification Features Improves Object Detection
  ⭐code
• R(Det)^2: Randomized Decision Routing for Object Detection
• Towards Robust Adaptive Object Detection under Noisy Annotations
  ⭐code
• Entropy-based Active Learning for Object Detection with Progressive Diversity Constraint
• Target-Relevant Knowledge Preservation for Multi-Source Domain Adaptive Object Detection
• Interactive Segmentation and Visualization for Tiny Objects in Multi-megapixel Images
  ⭐code
• Cross Domain Object Detection by Target-Perceived Dual Branch Distillation
  ⭐code
  
• Progressive End-to-End Object Detection in Crowded Scenes
  ⭐code
  📰paper
• HCSC: Hierarchical Contrastive Selective Coding
  ⭐code
  📰SOTA：上交、Mila
• Recurrent Glimpse-based Decoder for Detection with Transformer
  😮oral⭐code
  📰paper
• Few-Shot Target Detection
  • Sylph: A Hypernetwork Framework for Incremental Few-shot Object Detection
  • Few-Shot Object Detection with Fully Cross-Transformer
• 目标定位
  • Weakly Supervised Object Localization as Domain Adaption
    ⭐code📰paper
  • Bridging the Gap between Classification and Localization for Weakly Supervised Object Localization
  • Object Localization under Single Coarse Point Supervision
    ⭐code
    📰paper
• 3D Object Detection
  • A Versatile Multi-View Framework for LiDAR-based 3D Object Detection with Guidance from Panoptic Segmentation
  • Pseudo-Stereo for Monocular 3D Object Detection in Autonomous Driving
    ⭐code📰paper
  • Rope3D: TheRoadside Perception Dataset for Autonomous Driving and Monocular 3D Object Detection Task
    🏠project
  • Point2Seq: Detecting 3D Objects as Sequences
    ⭐code
  • MonoDETR: Depth-aware Transformer for Monocular 3D Object Detection
    ⭐code
  • LiDAR Snowfall Simulation for Robust 3D Object Detection
    😮oral⭐code
  • CAT-Det: Contrastively Augmented Transformer for Multi-modal 3D Object Detection
  • Homography Loss for Monocular 3D Object Detection
  • HyperDet3D: Learning a Scene-conditioned 3D Object Detector
  • DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detection
    ⭐code
  • OccAM's Laser: Occlusion-based Attribution Maps for 3D Object Detectors on LiDAR Data
    ⭐code
  • Focal Sparse Convolutional Networks for 3D Object Detection
    😮oral⭐code📰paper📓
  • Rotationally Equivariant 3D Object Detection
    🏠project
  • Bridged Transformer for Vision and Point Cloud 3D Object Detection
    📰paper
  • Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion
    📰paper
  • VISTA: Boosting 3D Object Detection via Dual Cross-VIew SpaTial Attention
    ⭐code
    📰SOTA
  • Diversity Matters: Fully Exploiting Depth Clues for Reliable Monocular 3D Object Detection
    😮oral
• Camouflage Target Detection
  • Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object Detection
    ⭐code
• Fully Supervised Object Detection
  • Omni-DETR: Omni-Supervised Object Detection with Transformers
    ⭐code
• Semi-Supervised Object Detection
  • Dense Learning based Semi-Supervised Object Detection
    ⭐code📰paper
• Salient Object Detection
  • Pyramid Grafting Network for One-Stage High Resolution Saliency Detection
    ⭐code📰paper
    📰PGNet（CVPR2022）
  • Learning from Pixel-Level Noisy Label : A New Perspective for Light Field Saliency Detection
    ⭐code📰paper
  • Bi-directional Object-context Prioritization Learning for Saliency Ranking
    ⭐code
• Keypoint Detection
  • Self-Supervised Equivariant Learning for Oriented Keypoint Detection
  • UKPGAN: A General Self-Supervised Keypoint Detector
    ⭐code
    📰paper
• Affordance grounding
  • Learning Affordance Grounding from Exocentric Images
    ⭐code📰paper
• Image Alignment
  • Unsupervised Homography Estimation with Coplanarity-Aware GAN
• Object Attribute Recognition
  • Disentangling Visual Embeddings for Attributes and Objects
    😮oral⭐code

4.Image Captioning

• X-Trans2Cap: Cross-Modal Knowledge Transfer using Transformer for 3D Dense Captioning
• Quantifying Societal Bias Amplification in Image Captioning
• NICGSlowDown: Evaluating the Efficiency Robustness of Neural Image Caption Generation Models
• It is Okay to Not Be Okay: Overcoming Emotional Bias in Affective Image Captioning by Contrastive Data Collection
  ⭐code🏠project
• Beyond a Pre-Trained Object Detector: Cross-Modal Textual and Visual Context for Image Captioning
• Novel Object Captioning
  • NOC-REK: Novel Object Captioning with Retrieved Vocabulary from External Knowledge

3.Image Progress

• Image Restoration
  • Attentive Fine-Grained Structured Sparsity for Image Restoration
    ⭐code📰paper
• Image Restoration
  • Incremental Transformer Structure Enhanced Image Inpainting with Masking Positional Encoding
    ⭐code📰paper
  • MAT: Mask-Aware Transformer for Large Hole Image Inpainting
    ⭐code
  • Reduce Information Loss in Transformers for Pluralistic Image Inpainting
• Image Stitching
  • Deep Rectangling for Image Stitching: A Learning Baseline
    😮oral⭐code📰paper
• Motion Deblur
  • Unifying Motion Deblurring and Frame Interpolation with Events
• image outpainting
  • Diverse Plausible 360-Degree Image Outpainting for Efficient 3DCG Background Creation
    🏠project
• Image Aesthetic Evaluation
  • Personalized Image Aesthetics Assessment with Rich Attributes
    🏠project
• Image Quality Assessment
  • Incorporating Semi-Supervised and Positive-Unlabeled Learning for Boosting Full Reference Image Quality Assessment
    ⭐code📰paper
• Image To Rain
  • Towards Robust Rain Removal Against Adversarial Attacks: A Comprehensive Benchmark Analysis and Beyond
    ⭐code
• Image Deblurring
  • Learning to Deblur using Light Field Generated and Real Defocus Images
    ⭐code🏠project
• Image Denoising
  • CVF-SID: Cyclic multi-Variate Function for Self-Supervised Image Denoising by Disentangling Noise from Image
    ⭐code
  • NAN: Noise-Aware NeRFs for Burst-Denoising
• Image Enhancement
  • Toward Fast, Flexible, and Robust Low-Light Image Enhancement
    😮oral⭐code📰paper
  • AdaInt: Learning Adaptive Intervals for 3D Lookup Tables on Real-time Image Enhancement
    ⭐code
  • Directional Self-supervised Learning for Heavy Image Augmentations
    📰paper
• Image Harmonization
  • SCS-Co: Self-Consistent Style Contrastive Learning for Image Harmonization
    ⭐code
• Image Super Completion
  • Scene Graph Expansion for Semantics-Guided Image Outpainting
    
• Semantic Image Matching
  • TransforMatcher: Match-to-Match Attention for Semantic Correspondence
    📰paper

2.Image Segmentation

• FocalClick: Towards Practical Interactive Image Segmentation
  ⭐code📰paper
• Semantic-Aware Domain Generalized Segmentation
  😮oral⭐code
• ReSTR: Convolution-free Referring Image Segmentation Using Transformers
• Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation
  🏠project
  
• Instance Segmentation
  • E2EC: An End-to-End Contour-based Method for High-Quality High-Speed Instance Segmentation
    ⭐code📰paper
  • Sparse Instance Activation for Real-Time Instance Segmentation
    ⭐code
  • SharpContour: A Contour-based Boundary Refinement Approach for Efficient and Accurate Instance Segmentation
    🏠project
  • Open-World Instance Segmentation: Exploiting Pseudo Ground Truth From Learned Pairwise Affinity
    ⭐code🏠project
  • DArch: Dental Arch Prior-assisted 3D Tooth Instance Segmentation
  • Relieving Long-tailed Instance Segmentation via Pairwise Class Balance
    ⭐code📰解读
  • ContrastMask: Contrastive Learning to Segment Every Thing
    📰paper
    
  • Semi-Supervised Instance Segmentation
    • Noisy Boundaries: Lemon or Lemonade for Semi-supervised Instance Segmentation?
  • 3D Instance Segmentation
    • SoftGroup for 3D Instance Segmentation on Point Clouds
      ⭐code📰paper
  • 🐦️FreeSOLO: Learning to Segment Objects without Annotations
• Semantic Segmentation
  • Pin the Memory: Learning to Generalize Semantic Segmentation
    ⭐code📰paper
  • Tree Energy Loss: Towards Sparsely Annotated Semantic Segmentation
    ⭐code📰paper
  • GroupViT: Semantic Segmentation Emerges from Text Supervision
    ⭐code🏠project📺video
    📰UCSD
  • Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic Segmentation
    ⭐code📰paper
  • Deep Hierarchical Semantic Segmentation
    ⭐code
  • Semantic Segmentation by Early Region Proxy
    ⭐code📰paper
  • SimT: Handling Open-set Noise for Domain Adaptive Semantic Segmentation
    ⭐code
  • Rethinking Semantic Segmentation: A Prototype View
    😮oral⭐code
  • On the Road to Online Adaptation for Semantic Image Segmentation
  • Threshold Matters in WSSS: Manipulating the Activation for the Robust and Accurate Segmentation Model Against Thresholds
  • NightLab: A Dual-level Architecture with Hardness Detection for Segmentation at Night
    ⭐code📰paper
  • TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation
  • Cross-Image Relational Knowledge Distillation for Semantic Segmentation
    ⭐code📰paper
  • Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation
  • Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering Transformers
    ⭐code
  • Self-Supervised Learning of Object Parts for Semantic Segmentation
  • Cross-view Transformers for real-time Map-view Semantic Segmentation
    😮oral⭐code
  • Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization
    🏠project
  • 3D Semantic Segmentation
    • MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation
      🏠project
    • Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation
      😮oral⭐code📰paper
  • Weakly Supervised Semantic Segmentation
    • Class Re-Activation Maps for Weakly-Supervised Semantic Segmentation
      ⭐code📰paper
    • Self-supervised Image-specific Prototype Exploration for Weakly Supervised Semantic Segmentation
      ⭐code
    • Contrastive learning of Class-agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation
      ⭐code
    • Cross Language Image Matching for Weakly Supervised Semantic Segmentation
      ⭐code
    • Multi-class Token Transformer for Weakly Supervised Semantic Segmentation
      ⭐code
    • Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers
      ⭐code📰paper
    • Weakly Supervised Semantic Segmentation using Out-of-Distribution Data
      ⭐code📰paper
    • L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic Segmentation
      ⭐code
  • Semi-Supervised Semantic Segmentation
    • Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels
    • Semi-supervised Semantic Segmentation with Error Localization Network
      ⭐code🏠project📰粗解
    • UCC: Uncertainty guided Cross-head Co-training for Semi-Supervised Semantic Segmentation
  • Domain Adaptive Semantic Segmentation
    • Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation
      ⭐code
  • Domain Generalization Semantic Segmentation
    • WildNet: Learning Domain Generalized Semantic Segmentation from the Wild
      ⭐code
  • Few-Shot Semantic Segmentation
    • Learning Non-target Knowledge for Few-shot Semantic Segmentation
      ⭐code
      📰paper
• Action Segmentation
  • Weakly-Supervised Online Action Segmentation in Multi-View Instructional Videos
• Scene Analysis
  • FLOAT: Factorized Learning of Object Attributes for Improved Multi-object Multi-part Scene Parsing
    ⭐code
• FOG Segmentation
  • FIFO: Learning Fog-invariant Features for Foggy Scene Segmentation
    😮oral
• Panoptic Segmentation
  • Panoptic, Instance and Semantic Relations: A Relational Context Encoder to Enhance Panoptic Segmentation
  • Joint Forecasting of Panoptic Segmentations with Difference Attention
    ⭐code📰paper
  • PanopticDepth: A Unified Framework for Depth-aware Panoptic Segmentation
    ⭐code📰paper
• Cutout
  • Human Instance Matting via Mutual Guidance and Multi-Instance Refinement
    😮oral⭐code

👉🏼 Learn Image Segmentation here: https://courses.thinkautonomous.ai/image-segmentation

1.Other

• Learning to Anticipate Future with Dynamic Context Removal
  ⭐code📰paper
• Learning Optimal K-space Acquisition and Reconstruction using Physics-Informed Neural Networks
• Instance-wise Occlusion and Depth Orders in Natural Scenes
• IFOR: Iterative Flow Minimization for Robotic Object Rearrangement
  🏠project
• PINA: Learning a Personalized Implicit Neural Avatar from a Single RGB-D Video Sequence
  ⭐code🏠project📺video📰paper
• CAFE: Learning to Condense Dataset by Aligning Features
  ⭐code📰paper
• Enhancing Adversarial Robustness for Deep Metric Learning
• BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning
  ⭐code📰paper📓
• ACVNet: Attention Concatenation Volume for Accurate and Efficient Stereo Matching
  ⭐code📰paper
• Polarity Sampling: Quality and Diversity Control of Pre-Trained Generative Networks via Singular Values
  ⭐code
• Do Explanations Explain? Model Knows Best
  ⭐code
• HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging
• E-CIR: Event-Enhanced Continuous Intensity Recovery
  ⭐code
• 🐦️Transferability Estimation using Bhattacharyya Class Separability
• Interpretable part-whole hierarchies and conceptual-semantic relationships in neural networks
  ⭐code
• GlideNet: Global, Local and Intrinsic based Dense Embedding NETwork for Multi-category Attributes Prediction
  ⭐code
• Differentially Private Federated Learning with Local Regularization and Sparsification
• Towards Efficient and Scalable Sharpness-Aware Minimization
• DeltaCNN: End-to-End CNN Inference of Sparse Frame Differences in Videos
• Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences
  ⭐code📰paper
• Dynamic Dual-Output Diffusion Models
• Moving Window Regression: A Novel Approach to Ordinal Regression
• Egocentric Prediction of Action Target in 3D
• Compositional Temporal Grounding with Structured Variational Cross-Graph Correspondence Learning
  ⭐code
• Hierarchical Nearest Neighbor Graph Embedding for Efficient Dimensionality Reduction
  ⭐code
• Neural Reflectance for Shape Recovery with Shadow Handling
  ⭐code
• DyRep: Bootstrapping Training with Dynamic Re-parameterization
  ⭐code
• Enhancing Classifier Conservativeness and Robustness by Polynomiality
• Versatile Multi-Modal Pre-Training for Human-Centric Perception
  ⭐code
• Attributable Visual Similarity Learning
  ⭐code
• Optimizing Elimination Templates by Greedy Parameter Search
• Partially Does It: Towards Scene-Level FG-SBIR with Partial Input
• Bi-level Doubly Variational Learning for Energy-based Latent Variable Models
• Brain-inspired Multilayer Perceptron with Spiking Neurons
• ARCS: Accurate Rotation and Correspondence Search
  ⭐code
• iPLAN: Interactive and Procedural Layout Planning
• HINT: Hierarchical Neuron Concept Explainer
  ⭐code
• Visual Abductive Reasoning
  ⭐code
• A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration
  ⭐code
• Learning Structured Gaussians to Approximate Deep Ensembles
• Self-Supervised Image Representation Learning with Geometric Set Consistency
• Balanced Multimodal Learning via On-the-fly Gradient Modulation
  😮oral⭐code
• CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters
  ⭐code
• Eigencontours: Novel Contour Descriptors Based on Low-Rank Approximation
  😮oral
• Pop-Out Motion: 3D-Aware Image Deformation via Learning the Shape Laplacian
• Long-term Visual Map Sparsification with Heterogeneous GNN
• Clean Implicit 3D Structure from Noisy 2D STEM Images
• Equivariance Allows Handling Multiple Nuisance Variables When Analyzing Pooled Neuroimaging Datasets
• CaDeX: Learning Canonical Deformation Coordinate Space for Dynamic Surface Representation via Neural Homeomorphism
  ⭐code🏠project
• Fast Light-Weight Near-Field Photometric Stereo
• Fast, Accurate and Memory-Efficient Partial Permutation Synchronization
• Multi-Robot Active Mapping via Neural Bipartite Graph Matching
• Learning Program Representations for Food Images and Cooking Recipes
  😮oral
• Iterative Deep Homography Estimation
  ⭐code
• Practical Learned Lossless JPEG Recompression with Multi-Level Cross-Channel Entropy Model in the DCT Domain
• Generating High Fidelity Data from Low-density Regions using Diffusion Models
• Continuous Scene Representations for Embodied AI
  ⭐code🏠project
• It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher
• End-to-End Trajectory Distribution Prediction Based on Occupancy Grid Maps
• Reflection and Rotation Symmetry Detection via Equivariant Learning
• Exploiting Explainable Metrics for Augmented SGD
• On the Importance of Asymmetry for Siamese Representation Learning
  ⭐code
• Unimodal-Concentrated Loss: Fully Adaptive Label Distribution Learning for Ordinal Regression
• Perception Prioritized Training of Diffusion Models
  ⭐code
• LASER: LAtent SpacE Rendering for 2D Visual Localization
  😮oral
• Efficient Maximal Coding Rate Reduction by Variational Forms
• Exemplar-bsaed Pattern Synthesis with Implicit Periodic Field Network
• Progressive Minimal Path Method with Embedded CNN
• Online Convolutional Re-parameterization
  ⭐code
• Consistency driven Sequential Transformers Attention Model for Partially Observable Scenes
• Leveraging Equivariant Features for Absolute Pose Regression
• Neural Convolutional Surfaces
  🏠project
• GLASS: Geometric Latent Augmentation for Shape Spaces
  ⭐code🏠project
• Total Variation Optimization Layers for Computer Vision
• Identifying Ambiguous Similarity Conditions via Semantic Matching
  ⭐code📰paper
• TemporalUV: Capturing Loose Clothing with Temporally Coherent UV Coordinates
• Gravitationally Lensed Black Hole Emission Tomography
  ⭐code🏠project📺video
• Robust and Accurate Superquadric Recovery: a Probabilistic Approach
  ⭐code
• Projective Manifold Gradient Layer for Deep Rotation Regression
  ⭐code
• Habitat-Web: Learning Embodied Object-Search Strategies from Human Demonstrations at Scale
  ⭐code
• Single-Photon Structured Light
• Explaining Deep Convolutional Neural Networks via Latent Visual-Semantic Filter Attention
  😮oral⭐code
• Defensive Patches for Robust Recognition in the Physical World
  ⭐code📰paper
• Event-aided Direct Sparse Odometry
  😮oral⭐code🏠project📺video
• Deep Unlearning via Randomized Conditionally Independent Hessians
  ⭐code
• Learning to Imagine: Diversify Memory for Incremental Learning using Unlabeled Data
• Towards Data-Free Model Stealing in a Hard Label Setting
  ⭐code🏠project
• Proto2Proto: Can you recognize the car, the way I do?
  ⭐code
• Balanced MSE for Imbalanced Visual Regression
  😮oral⭐code
  📰CVPR 2022 (Oral) | 回归标签不平衡? 试试Balanced MSE
• Leveraging Unlabeled Data for Sketch-based Understanding
• Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction
  ⭐code🏠project
• Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs
  ⭐code📰paper
• RepMLPNet: Hierarchical Vision MLP with Re-parameterized Locality
  ⭐code📰paper
• An Image Patch is a Wave: Quantum Inspired Vision MLP
  😮oral⭐code
• A ConvNet for the 2020s
  ⭐code
• NeuralHDHair: Automatic High-fidelity Hair Modeling from a Single Image Using Implicit Neural Representations
  
• A Unified Framework for Implicit Sinkhorn Differentiation
  ⭐code
  📰paper
• Towards Better Understanding Attribution Methods
  ⭐code

Papers Not Yet Published (not translated)

• Camera Relocation

  • ❌[SceneSqueezer: Learning to Compress Scene for Camera Relocalization]
    😮oral

• Camera Imaging

  • ❌[Learning to Zoom Inside Camera Imaging Pipeline]
    

• Homography Estimation(旋转估计)

  • ❌[Unsupervised Homography Estimation with Coplanarity-Aware GAN]
    ⭐code📰解读

• 3D人体重建

  • ❌[Putting People in their Place: Monocular Regression of 3D People in Depth]
    ⭐code📰解读

• 图像字幕

  • ❌[Comprehending and Ordering Semantics for Image Captioning]
    📰解读

• 图像去雾

  • ❌[Self-augmented Unpaired Image Dehazing via Density and Depth Decomposition]
    📰解读

• 图像到图像翻译

  • ❌[Alleviating Semantics Distortion in Unsupervised Low-Level Image-to-Image Translation via Structure Consistency Constraint]
    📰解读

• 光流

  • ❌[Learning Optical Flow with Kernel Patch Attention]
    ⭐code📰解读

• 图像生成

  • ❌[Modeling Image Composition for Complex Scene Generation]
    📰解读

• 连续学习

  • ❌[Continual Learning with Lifelong Vision Transformer]
    📰解读

• 元学习

  • ❌[Learning to Learn and Remember Super Long Multi-Domain Task Sequence]
    📰解读

• 目标检测

  • ❌[Voxel Field Fusion for 3D Object Detection]
    📰解读
  • ❌[ISNet: Shape Matters for Infrared Small Target Detection]
    📰解读

• HOI

  • ❌[Exploring Structure-aware Transformer over Interaction Proposals for Human-Object Interaction Detection]
    📰解读

• 视频建模

  • ❌[Stand-Alone Inter-Frame Attention in Video Models]
    📰解读

• 其他

  • ❌[RAGO: Recurrent Graph Optimizer For Multiple Rotation Averaging]
    ⭐code
  • ❌[Learning to Collaborate in Decentralized Learning of Personalized Models]
    📰解读
  • ❌[MLP-3D: A MLP-like 3D Architecture with Grouped Time Mixing]
    📰解读

• 视频场景分割

  • ❌[Scene Consistency Representation Learning for Video Scene Segmentation]
    📰解读

• 图像字幕

  • ❌[DIFNet: Boosting Visual Information Flow for Image Captioning]
    📰解读

• 姿态

  • ❌[Location-Free Human Pose Estimation]
    📰解读

• 小样本

  • ❌[Ranking-Guided Distance Calibration for Cross-Domain Few-Shot Learning]
    📰解读
  • ❌[En-Compactness: Self-Distillation Embedding & Contrastive Generation for Generalized Zero-Shot Learning]
    📰解读

• 点云

  • ❌[Surface Representation for Point Clouds]
    📰解读
  • ❌[Deterministic Point Cloud Registration via Novel Transformation Decomposition]
    📰解读

• 人脸

  • ❌[Evaluation-oriented Knowledge Distillation for Deep Face Recognition]
    📰解读
  • ❌[End-to-End Reconstruction-Classification Learning for Face Forgery Detection]
    📰解读

• 目标检测

  • ❌[Thinking Camouflaged Object Detection in Frequency]
    📰解读

• 对抗

  • ❌[Efficent Data-free Model Stealing for Black-box Adversarial Attacks]
    📰解读

• 分割

  • ❌[ISDNet: Integrating Shallow and Deep Networks for Efficient Ultra-high Resolution Segmentation]
    📰解读
  • ❌[HybridCR: Weakly-Supervised 3D Point Cloud Semantic Segmentation via Hybrid Contrastive Regularization]
    📰解读

• 3D场景

  • ❌[Canonical Voting: Towards Robust Oriented Bounding Box Detection in 3D Scenes]
    📰paper

• 行人轨迹预测

  • ❌[Human Trajectory Prediction with Momentary Observation]
    📰paper

AxIoU: An Axiomatically Justified Measure for Video Moment Retrieval

ID:Cyelie multi-Variate Function for self-supervised image denoising by disentangling noise form image

Diverse Plausible 360-Degree Image Outpainting for Efficient 3DCG Background Creation

Source
[Two Systems in Thinking: Dual-System Transformer for Grounded Situation Recognition]
[Autoregressive Image Generation using Residual Quantization]
✔️Instance-wise Occlusion and Depth Orders in Natural Scenes
[Style Neophile: Constantly Seeking Novel Styles for Domain Generalization]
[ReSTR: Convolution-free Referring Image Segmentation Using Transformers]
[FIFO: Learning Fog-invariant Features for Foggy Scene Segmentation]
[TransforMatcher: Match-to-Match Attention for Semantic Correspondence]
[Reflection and Rotation Symmetry Detection via Equivariant Learning]
[Semi-supervised Semantic Segmentation with Error Localization Network]
[Future Transformer for Long-term Action Anticipation]
[Self-Taught Metric Learning without Labels]
✔️Fast Point Transformer
[Integrative Few-Shot Learning for Classification and Segmentation]
[Scene Painting via Semantic Image Synthesis]
[Detector-Free Weakly Supervised Group Activity Recognition]