ICCV-2023-Papers

官网链接：https://iccv2023.thecvf.com/

研讨会:bell:：2023 年 10 月 2 日至 3 日

主会:bell:：2023 年 10 月 4 日至 6 日

历年综述论文分类汇总戳这里↘️CV-Surveys施工中~~~~~~~~~~

2024 年论文分类汇总戳这里

↘️WACV-2024-Papers

2023 年论文分类汇总戳这里

↘️CVPR-2023-Papers ↘️WACV-2023-Papers ↘️ICCV-2023-Papers

2022 年论文分类汇总戳这里

2021 年论文分类汇总戳这里

2020 年论文分类汇总戳这里

目录

:cat:	:dog:	:tiger:	:wolf:
1.其它(others)	2.3D(三维重建\三维视觉)	3.Object Detection(目标检测)	4.Object Tracking(目标跟踪)
5.Biometric Recognition(生物特征识别)	6.Face(人脸)	7.Image Progress(低层图像处理、质量评价)	8.Image Segmentation(图像分割)
9.Image Classification(图像分类)	10.Image Synthesis(图像合成)	11.Image/Video Editing(图像/视频编辑)	12.Medical Image(医学影像)
13.Image Captions(图像字幕)	14.Image/Video Composition(图像/视频压缩)	15.Image/Video Retrieval(图像/视频检索)	16.Super-Resolution(超分辨率)
17.GAN	18.Pose	19.UAV/Remote Sensing/Satellite Image(无人机/遥感/卫星图像)	20.Reid
21.Point Cloud(点云)	22.OCR	23.Optical Flow Estimation(光流估计)	24.Few/Zero-Shot Learning/Domain Generalization/Adaptation(小/零样本/域泛化/域适应)
25.Model Compression/KD/Pruning(模型压缩/知识蒸馏/剪枝)	26.ML(机器学习)	27.Self/Semi-Supervised Learning	28.Style Transfer(风格迁移)
29.Autonomous vehicles(自动驾驶)	30.SLAM/AR/VR/Robotics(增强/虚拟现实/机器人)	31.HOI(人物交互)	32.Sign Language Recognition(手语)
33.Video	34.Action Detection	35.Human Motion Prediction(人体运动预测)	36.Vision Question Answering(视觉问答)
37.Object Pose Estimation(物体姿势估计)	38.Vision-Language(视觉语言)	39.Keypoint Detection(关键点检测)	40.Anomaly Detection(异常检测)
41.Vision Transformers	42.Dataset/Benchmark	43.Neural Radiance Fields	44.Rendering(渲染)
45.Scene Graph Generation(场景图合成)	46.Edge Detection	47.Image-to-Image Translation	48.Image Reconstruction
49.Image Fusion(图像融合)	50.Image Matching(图像匹配)	51.Visual Place Recognition	52.View Synthesis(视图合成)
53.Computed Imaging(计算成像，如光学、几何、光场成像等)	54.Gaze Estimation	55.sound(语音)	56.NAS
57.Semantic Scene Completion(语义场景补全)	58.scene flow estimation(场景流估计)	59.Copyright Protection(版权保护/信息安全)	60.Visual Localization(视觉定位)
61.Natural Language Progress(NLP)	62.Group Affect Recognition(群体情感识别)	63.Industrial Defect Detectors	64.Scene Understanding(场景理解)
65.Deepfake Detectors	66.Graph Neural Networks(图神经网络)	67.Open Set Recognition(开集识别)	68.Clustering(聚类)
69.Affordance Learning(启示学习)	70.Active Learning(主动学习)	71.Data Augmentation(数据增强)	72.Dense Prediction(密集预测)
73.Spiking Neural Networks

💥💥💥ICCV 2023 获奖论文

最佳论文奖——马尔奖

• Adding Conditional Control to Text-to-Image Diffusion Models
  :star:code
• Passive Ultra-Wideband Single-Photon Imaging
  :star:code

最佳论文奖提名

• Segment Anything
  :house:project

最佳学生论文奖

• Tracking Everything Everywhere All at Once
  :house:project

:thumbsup:ICCV 2023 数据集分享（含水下图像视频、阴影去除、目标检测跟踪分割、交互、超分等）
:thumbsup:ICCV 2023 数据集分享（含动人物姿态、自动驾驶、遥感、去雪、人脸、VOS等）

78.Sketch

• CLIPascene: Scene Sketching with Different Types and Levels of Abstraction

73.Spiking Neural Networks

• RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks
• Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks
• SSF: Accelerating Training of Spiking Neural Networks with Stabilized Spiking Flow
• Inherent Redundancy in Spiking Neural Networks
  :star:code
• Membrane Potential Batch Normalization for Spiking Neural Networks
  :star:code
• Unleashing the Potential of Spiking Neural Networks with Dynamic Confidence
• Temporal-Coded Spiking Neural Networks with Dynamic Firing Threshold: Learning with Event-Driven Backpropagation
• Efficient Converted Spiking Neural Network for 3D and 2D Classification

72.Dense Prediction(密集预测)

• Multi-Task Learning with Knowledge Distillation for Dense Prediction
• Consistent Depth Prediction for Transparent Object Reconstruction from RGB-D Camera
• EfficientViT: Lightweight Multi-Scale Attention for High-Resolution Dense Prediction

71.Data Augmentation(数据增强)

• HybridAugment++: Unified Frequency Spectra Perturbations for Model Robustness
• MixBag: Bag-Level Data Augmentation for Learning from Label Proportions
• When to Learn What: Model-Adaptive Data Augmentation Curriculum
• Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning

70.Active Learning(主动学习)

• TiDAL: Learning Training Dynamics for Active Learning
• HAL3D: Hierarchical Active Learning for Fine-Grained 3D Part Labeling
• Knowledge-Aware Federated Active Learning with Non-IID Data
• Skip-Plan: Procedure Planning in Instructional Videos via Condensed Action Space Learning

69.Affordance Learning(启示学习)

• MAAL: Multimodality-Aware Autoencoder-Based Affordance Learning for 3D Articulated Objects

68.Clustering(聚类)

• Deep Multiview Clustering by Contrasting Cluster Assignments
• Cross-modal Scalable Hyperbolic Hierarchical Clustering
• Cross-view Topology Based Consistent and Complementary Information for Deep Multi-view Clustering
• MHCN: A Hyperbolic Neural Network Model for Multi-view Hierarchical Clustering
• Stable Cluster Discrimination for Deep Clustering
• Unsupervised Manifold Linearizing and Clustering
• Anchor Structure Regularization Induced Multi-view Subspace Clustering via Enhanced Tensor Rank Minimization
• Surface Normal Clustering for Implicit Representation of Manhattan Scenes

67.Open Set Recognition(开集识别)

• FedPD: Federated Open Set Recognition with Parameter Disentanglement

66.Graph Neural Networks(图神经网络)

• VertexSerum: Poisoning Graph Neural Networks for Link Inference
• Learning Adaptive Neighborhoods for Graph Neural Networks
• Vision HGNN: An Image is More than a Graph of Nodes

65.Deepfake Detectors

• Towards Understanding the Generalization of Deepfake Detectors from a Game-Theoretical View
• Quality-Agnostic Deepfake Detection with Intra-model Collaborative Learning
• SeeABLE: Soft Discrepancies and Bounded Contrastive Learning for Exposing Deepfakes
• UCF: Uncovering Common Features for Generalizable Deepfake Detection

64.Scene Understanding(场景理解)

• Shape Anchor Guided Holistic Indoor Scene Understanding
• Efficient Computation Sharing for Multi-Task Visual Scene Understanding
• Ordered Atomic Activity for Fine-grained Interactive Traffic Scenario Understanding
• Clutter Detection and Removal in 3D Scenes with View-Consistent Inpainting
• Human-centric Scene Understanding for 3D Large-scale Scenarios

63.Industrial Defect Detectors

• 工业缺陷定位
  • Removing Anomalies as Noises for Industrial Defect Localization
• 工业异常检测
  • PNI : Industrial Anomaly Detection using Position and Neighborhood Information
  • FastRecon: Few-shot Industrial Anomaly Detection via Fast Feature Reconstruction
• 裂缝检测
  • The Devil is in the Crack Orientation: A New Perspective for Crack Detection

62.Group Affect Recognition(群体情感识别)

• Most Important Person-Guided Dual-Branch Cross-Patch Attention for Group Affect Recognition

61.Natural Language Progress(NLP)

• Improved Visual Fine-tuning with Natural Language Supervision
• Tracking by Natural Language Specification with Long Short-term Context Decoupling

60.Visual Localization(视觉定位)

• EP2P-Loc: End-to-End 3D Point to 2D Pixel Localization for Large-Scale Visual Localization
• Flexible Visual Recognition by Evidential Modeling of Confusion and Ignorance
• Yes, we CANN: Constrained Approximate Nearest Neighbors for Local Feature-Based Visual Localization
• OFVL-MS: Once for Visual Localization across Multiple Indoor Scenes

59.Copyright Protection(版权保护/信息安全)

• Towards Robust Model Watermark via Reducing Parametric Vulnerability
  :star:code
• CopyRNeRF: Protecting the CopyRight of Neural Radiance Fields

58.scene flow estimation(场景流估计)

• EMR-MSF: Self-Supervised Recurrent Monocular Scene Flow Exploiting Ego-Motion Rigidity
• Fast Neural Scene Flow
• Multi-Scale Bidirectional Recurrent Network with Hybrid Correlation for Point Cloud Based Scene Flow Estimation
• IHNet: Iterative Hierarchical Network Guided by High-Resolution Estimated Information for Scene Flow Estimation

57.Semantic Scene Completion(语义场景补全)

• NDC-Scene: Boost Monocular 3D Semantic Scene Completion in Normalized Device Coordinates Space
  :star:code
  :star:code
• DDIT: Semantic Scene Completion via Deformable Deep Implicit Templates
• CVSformer: Cross-View Synthesis Transformer for Semantic Scene Completion
• Learning Long-Range Information with Dual-Scale Transformers for Indoor Scene Completion

56.NAS

• ShiftNAS: Improving One-shot NAS via Probability Shift
• ROME: Robustifying Memory-Efficient NAS via Topology Disentanglement and Gradient Accumulation
• Extensible and Efficient Proxy for Neural Architecture Search
• MixPath: A Unified Approach for One-shot Neural Architecture Search
• Unleashing the Power of Gradient Signal-to-Noise Ratio for Zero-Shot NAS

55.sound(语音)

• Speech2Lip: High-fidelity Speech to Lip Generation by Learning from a Short Video
• MixSpeech: Cross-Modality Self-Learning with Audio-Visual Stream Mixup for Visual Speech Translation and Recognition
• Be Everywhere - Hear Everything (BEE): Audio Scene Reconstruction by Sparse Audio-Visual Samples
• On the Audio-visual Synchronization for Lip-to-Speech Synthesis
• Boosting Positive Segments for Weakly-Supervised Audio-Visual Video Parsing
• DiffV2S: Diffusion-based Video-to-Speech Synthesis with Vision-guided Speaker Embedding
• Omnidirectional Information Gathering for Knowledge Transfer-based Audio-Visual Navigation
• Sound Source Localization is All about Cross-Modal Alignment
• Lip2Vec: Efficient and Robust Visual Speech Recognition via Latent-to-Latent Visual to Audio Representation Mapping
• 去混响
  • AdVerb: Visually Guided Audio Dereverberation
    :house:project
• 唇语识别
  • Lip Reading for Low-resource Languages by Learning and Combining General Speech Knowledge and Language-specific Knowledge
• 音频-视频生成
  • The Power of Sound (TPoS): Audio Reactive Video Generation with Stable Diffusion
    :star:code
• 音视觉导航
  • Omnidirectional Information Gathering for Knowledge Transfer-Based Audio-Visual Navigation
• 声音定位
  • Sound Localization from Motion: Jointly Learning Sound Direction and Camera Rotation
• 视听分割
  • Multimodal Variational Auto-encoder based Audio-Visual Segmentation

54.Gaze Estimation

• DVGaze: Dual-View Gaze Estimation
  :star:code

53.Computed Imaging(计算成像，如光学、几何、光场成像等)

• Event Camera Data Pre-training
• Deep Geometrized Cartoon Line Inbetweening
• Aperture Diffraction for Compact Snapshot Spectral Imaging
• Examining Autoexposure for Challenging Scenes
• Vanishing Point Estimation in Uncalibrated Images with Prior Gravity Direction
  :star:code
• Robust Frame-to-Frame Camera Rotation Estimation in Crowded Scenes
  :house:project
• Exploring Positional Characteristics of Dual-Pixel Data for Camera Autofocus
• Enhancing Non-line-of-sight Imaging via Learnable Inverse Kernel and Attention Mechanisms
• On the Robustness of Normalizing Flows for Inverse Problems in Imaging
• Factorized Inverse Path Tracing for Efficient and Accurate Material-Lighting Estimation
• 光场
  • NeILF++: Inter-Reflectable Light Fields for Geometry and Material Estimation
• 相机姿势估计
  • Multi-body Depth and Camera Pose Estimation from Multiple Views

52.View Synthesis(视图合成)

• Forward Flow for Novel View Synthesis of Dynamic Scenes
• iVS-Net: Learning Human View Synthesis from Internet Videos
• Multi-task View Synthesis with Neural Radiance Fields
• IntrinsicNeRF: Learning Intrinsic Neural Radiance Fields for Editable Novel View Synthesis
• Generative Novel View Synthesis with 3D-Aware Diffusion Models
• SparseNeRF: Distilling Depth Ranking for Few-shot Novel View Synthesis
• Total-Recon: Deformable Scene Reconstruction for Embodied View Synthesis
• Neural LiDAR Fields for Novel View Synthesis
• LoLep: Single-View View Synthesis with Locally-Learned Planes and Self-Attention Occlusion Inference
• Learning Unified Decompositional and Compositional NeRF for Editable Novel View Synthesis
  :star:code
• Efficient View Synthesis with Neural Radiance Distribution Field
• NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes
  :star:code
• PARF: Primitive-Aware Radiance Fusion for Indoor Scene Novel View Synthesis
• Urban Radiance Field Representation with Deformable Neural Mesh Primitives
  :house:project
• FlipNeRF: Flipped Reflection Rays for Few-shot Novel View Synthesis
• SAMPLING: Scene-adaptive Hierarchical Multiplane Images Representation for Novel View Synthesis from a Single Image
• A Large-Scale Outdoor Multi-Modal Dataset and Benchmark for Novel View Synthesis and Implicit Scene Reconstruction
• Cross-Ray Neural Radiance Fields for Novel-View Synthesis from Unconstrained Image Collections
• Long-Term Photometric Consistent Novel View Synthesis with Diffusion Models
• NEMTO: Neural Environment Matting for Novel View and Relighting Synthesis of Transparent Objects

51.Visual Place Recognition

• CASSPR: Cross Attention Single Scan Place Recognition
• EigenPlaces: Training Viewpoint Robust Models for Visual Place Recognition
  :star:code
  :star:code
• CrossLoc3D: Aerial-Ground Cross-Source 3D Place Recognition
• BEVPlace: Learning LiDAR-based Place Recognition using Bird's Eye View Images

50.Image Matching(图像匹配)

• OccNet: Robust Image Matching Based on 3D Occupancy Estimation for Occluded Regions
  :thumbsup:ICCV 2023|Occ2Net，一种基于3D 占据估计的有效且稳健的带有遮挡区域的图像匹配方法
• Scene-Aware Feature Matching
• Improving Transformer-based Image Matching by Cascaded Capturing Spatially Informative Keypoints
• GlueStick: Robust Image Matching by Sticking Points and Lines Together
• Grounded Image Text Matching with Mismatched Relation Reasoning
• Graph Matching with Bi-level Noisy Correspondence
• 特征匹配
  • Guiding Local Feature Matching with Surface Curvature

49.Image Fusion(图像融合)

• DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion
• MEFLUT: Unsupervised 1D Lookup Tables for Multi-exposure Image Fusion
• Learned Image Reasoning Prior Penetrates Deep Unfolding Network for Panchromatic and Multi-Spectral Image Fusion
  :star:code
• Degradation-Resistant Unfolding Network for Heterogeneous Image Fusion
• Learned Image Reasoning Prior Penetrates Deep Unfolding Network for Panchromatic and Multi-spectral Image Fusion
• UniFusion: Unified Multi-View Fusion Transformer for Spatial-Temporal Representation in Bird's-Eye-View
• Multi-Modal Gated Mixture of Local-to-Global Experts for Dynamic Image Fusion

48.Image Reconstruction

• Pixel Adaptive Deep Unfolding Transformer for Hyperspectral Image Reconstruction
  :star:code
• RawHDR: High Dynamic Range Image Reconstruction from a Single Raw Image
• Learning Continuous Exposure Value Representations for Single-Image HDR Reconstruction
  :star:code

47.Image-to-Image Translation

• General Image-to-Image Translation with One-Shot Image Guidance
  :star:code
• Scenimefy: Learning to Craft Anime Scene via Semi-Supervised Image-to-Image Translation
  :star:code
  :star:code
• UGC: Unified GAN Compression for Efficient Image-to-Image Translation

46.Edge Detection

• Tiny and Efficient Model for the Edge Detection Generalization
  :star:code

45.Scene Graph Generation(场景图合成)

• SGAligner: 3D Scene Alignment with Scene Graphs
• Environment-Invariant Curriculum Relation Learning for Fine-Grained Scene Graph Generation
• Compositional Feature Augmentation for Unbiased Scene Graph Generation
• Vision Relation Transformer for Unbiased Scene Graph Generation
• TextPSG: Panoptic Scene Graph Generation from Textual Descriptions
• HiLo: Exploiting High Low Frequency Relations for Unbiased Panoptic Scene Graph Generation
• Visually-Prompted Language Model for Fine-Grained Scene Graph Generation in an Open World
• Visual Traffic Knowledge Graph Generation from Scene Images

44.Rendering(渲染)

• LiveHand: Real-time and Photorealistic Neural Hand Rendering
• NeMF: Inverse Volume Rendering with Neural Microflake Field
• ActorsNeRF: Animatable Few-shot Human Rendering with Generalizable NeRFs
• HollowNeRF: Pruning Hashgrid-Based NeRFs with Trainable Collision Mitigation
• DNA-Rendering: A Diverse Neural Actor Repository for High-Fidelity Human-centric Rendering
  :house:project
• S3IM: Stochastic Structural SIMilarity and Its Unreasonable Effectiveness for Neural Fields
  :star:code
  :thumbsup:ICCV 2023 | NeRF 提点的 Magic Loss —— S3IM 随机结构相似性
• TransHuman: A Transformer-based Human Representation for Generalizable Neural Human Rendering
  :star:code
• Tri-MipRF: Tri-Mip Representation for Efficient Anti-Aliasing Neural Radiance Fields
  :star:code
• Rendering Humans from Object-Occluded Monocular Videos
  :house:project
• ScatterNeRF: Seeing Through Fog with Physically-Based Inverse Neural Rendering
• DNA-Rendering: A Diverse Neural Actor Repository for High-Fidelity Human-Centric Rendering
• Neural Microfacet Fields for Inverse Rendering
• 3D-aware Blending with Generative NeRFs

43.Neural Radiance Fields

• Instance Neural Radiance Field
• Adaptive Positional Encoding for Bundle-Adjusting Neural Radiance Fields
• FeatureNeRF: Learning Generalizable NeRFs by Distilling Foundation Models
• NerfAcc: Efficient Sampling Accelerates NeRFs
• MIMO-NeRF: Fast Neural Rendering with Multi-input Multi-output Neural Radiance Fields
• UHDNeRF: Ultra-High-Definition Neural Radiance Fields
• Deformable Neural Radiance Fields using RGB and Event Cameras
• Learning Neural Implicit Surfaces with Object-Aware Radiance Fields
• ClimateNeRF: Extreme Weather Synthesis in Neural Radiance Field
• HOSNeRF: Dynamic Human-Object-Scene Neural Radiance Fields from a Single Video
• ReNeRF: Relightable Neural Radiance Fields with Nearfield Lighting
• E2NeRF: Event Enhanced Neural Radiance Fields from Blurry Images
• Neural Fields for Structured Lighting
• NeRF-MS: Neural Radiance Fields with Multi-Sequence
• StegaNeRF: Embedding Invisible Information within Neural Radiance Fields
• SHERF: Generalizable Human NeRF from a Single Image
• DeformToon3D: Deformable Neural Radiance Fields for 3D Toonification
• Nerfbusters: Removing Ghostly Artifacts from Casually Captured NeRFs
• Tetra-NeRF: Representing Neural Radiance Fields Using Tetrahedra
• Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields
• NeRFrac: Neural Radiance Fields through Refractive Surface
• MonoNeRF: Learning a Generalizable Dynamic Radiance Field from Monocular Videos
• Reference-guided Controllable Inpainting of Neural Radiance Fields
• DeLiRa: Self-Supervised Depth, Light, and Radiance Fields
• Neural Radiance Field with LiDAR maps
• Dynamic Mesh-Aware Radiance Fields
• Locally Stylized Neural Radiance Fields
• Generalizable Neural Fields as Partially Observed Neural Processes
• DeformToon3D: Deformable 3D Toonification from Neural Radiance Fields
  :house:project
  :star:code
• Robust e-NeRF: NeRF from Sparse & Noisy Events under Non-Uniform Motion
  :star:code
• Pose-Free Neural Radiance Fields via Implicit Pose Regularization
• Canonical Factors for Hybrid Neural Fields
  :star:code
• Multi-Modal Neural Radiance Field for Monocular Dense SLAM with a Light-Weight ToF Sensor
  :star:code
• Blending-NeRF: Text-Driven Localized Editing in Neural Radiance Fields
• Strata-NeRF : Neural Radiance Fields for Stratified Scenes
  :star:code
• DReg-NeRF: Deep Registration for Neural Radiance Fields
  :star:code
• Seal-3D: Interactive Pixel-Level Editing for Neural Radiance Fields
  :house:project
  :star:code
• WaveNeRF: Wavelet-based Generalizable Neural Radiance Fields
• UrbanGIRAFFE: Representing Urban Scenes as Compositional Generative Neural Feature Fields
• LERF: Language Embedded Radiance Fields
• Strivec: Sparse Tri-Vector Radiance Fields
• Multiscale Representation for Real-Time Anti-Aliasing Neural Rendering

42.Dataset/Benchmark

• 数据集
  • Building3D: An Urban-Scale Dataset and Benchmarks for Learning Roof Structures from Point Clouds
    :sunflower:dataset
    :thumbsup:ICCV2023 首个城市级别的基于航空点云的房屋建模数据集 Building3D
  • LoTE-Animal: A Long Time-span Dataset for Endangered Animal Behavior Understanding
  • Beyond the Pixel: a Photometrically Calibrated HDR Dataset for Luminance and Color Prediction
  • Atmospheric Transmission and Thermal Inertia Induced Blind Road Segmentation with a Large-Scale Dataset TBRSD
  • H3WB: Human3.6M 3D WholeBody Dataset and Benchmark
  • V3Det: Vast Vocabulary Visual Detection Dataset
  • HoloAssist: an Egocentric Human Interaction Dataset for Interactive AI Assistants in the Real World
  • Zenseact Open Dataset: A Large-Scale and Diverse Multimodal Dataset for Autonomous Driving
  • FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods
  • Lecture Presentations Multimodal Dataset: Towards Understanding Multimodality in Educational Videos
  • RealGraph: A Multiview Dataset for 4D Real-world Context Graph Generation
  • Video Background Music Generation: Dataset, Method and Evaluation
  • Thinking Image Color Aesthetics Assessment: Models, Datasets and Benchmarks
  • Snow Removal in Video: A New Dataset and A Novel Method
  • SportsMOT: A Large Multi-Object Tracking Dataset in Multiple Sports Scenes
  • EmoSet: A Large-scale Visual Emotion Dataset with Rich Attributes
  • DetermiNet: A Large-Scale Diagnostic Dataset for Complex Visually-Grounded Referencing using Determiners
  • PointOdyssey: A Large-Scale Synthetic Dataset for Long-Term Point Tracking
  • SynBody: Synthetic Dataset with Layered Human Models for 3D Human Perception and Modeling
  • MOSE: A New Dataset for Video Object Segmentation in Complex Scenes
  • Audio-Visual Deception Detection: DOLOS Dataset and Parameter-Efficient Crossmodal Learning
  • 3DMiner: Discovering Shapes from Large-Scale Unannotated Image Datasets
  • MatrixCity: A Large-scale City Dataset for City-scale Neural Rendering and Beyond
  • LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and Benchmark
    :star:code
  • EgoObjects: A Large-Scale Egocentric Dataset for Fine-Grained Object Understanding
    :star:code
  • Towards Universal Image Embeddings: A Large-Scale Dataset and Challenge for Generic Image Representations
    :house:project
  • High-Resolution Document Shadow Removal via A Large-Scale Real-World Dataset and A Frequency-Aware Shadow Erasing Net
  • ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes
    :house:project
    :star:code
  • Learning Optical Flow from Event Camera with Rendered Dataset
  • Efficient neural supersampling on a novel gaming dataset
  • AIDE: A Vision-Driven Multi-View, Multi-Modal, Multi-Tasking Dataset for Assistive Driving Perception
    :star:code
  • 360VOT: A New Benchmark Dataset for Omnidirectional Visual Object Tracking
    :house:project
    :star:code全向视觉目标跟踪
  • Harvard Glaucoma Detection and Progression: A Multimodal Multitask Dataset and Generalization-Reinforced Semi-Supervised Learning
    :house:project
  • FishNet: A Large-scale Dataset and Benchmark for Fish Recognition, Detection, and Functional Trait Prediction
• 基准
  • Towards Real-world Burst Image Super-Resolution: Benchmark and Method
    :star:code
    :thumbsup:ICCV2023 ｜FBANet：迈向真实世界的多帧超分
  • SQAD: Automatic Smartphone Camera Quality Assessment and Benchmarking
  • ARNOLD: A Benchmark for Language-Grounded Task Learning with Continuous States in Realistic 3D Scenes
  • Aria Digital Twin: A New Benchmark Dataset for Egocentric 3D Machine Perception
  • From Sky to the Ground: A Large-scale Benchmark and Simple Baseline Towards Real Rain Removal
  • ChildPlay: A New Benchmark for Understanding Children's Gaze Behaviour
  • PlanarTrack: A Large-scale Challenging Benchmark for Planar Object Tracking
  • OmniLabel: A Challenging Benchmark for Language-Based Object Detection
  • OpenOccupancy: A Large Scale Benchmark for Surrounding Semantic Occupancy Perception
  • HRS-Bench: Holistic, Reliable and Scalable Benchmark for Text-to-Image Models
  • Beyond Object Recognition: A New Benchmark towards Object Concept Learning
  • ClothPose: A Real-world Benchmark for Visual Analysis of Garment Pose via An Indirect Recording Solution
  • REAP: A Large-Scale Realistic Adversarial Patch Benchmark
  • Chaotic World: A Large and Challenging Benchmark for Human Behavior Understanding in Chaotic Events
  • Breaking Common Sense: WHOOPS! A Vision-and-Language Benchmark of Synthetic and Compositional Images
  • FACET: Fairness in Computer Vision Evaluation Benchmark
  • A Benchmark for Chinese-English Scene Text Image Super-Resolution
  • Ego-Humans: An Ego-Centric 3D Multi-Human Benchmark
  • Towards Real-World Burst Image Super-Resolution: Benchmark and Method
    :star:code
  • COCO-O: A Benchmark for Object Detectors under Natural Distribution Shifts
    :star:code
  • Dancing in the Dark: A Benchmark towards General Low-light Video Enhancement
  • DiLiGenT-Pi: Photometric Stereo for Planar Surfaces with Rich Details - Benchmark Dataset and Beyond
• 方法
  • Prototype-based Dataset Comparison
    :star:code

41.Vision Transformers

• Masked Spiking Transformer
• Scale-Aware Modulation Meet Transformer
• BiViT: Extremely Compressed Binary Vision Transformers
• Fcaformer: Forward Cross Attention in Hybrid Vision Transformer
• FastViT: A Fast Hybrid Vision Transformer Using Structural Reparameterization
• SwinLSTM: Improving Spatiotemporal Prediction Accuracy using Swin Transformer and LSTM
• Multimodal High-order Relation Transformer for Scene Boundary Detection
• GET: Group Event Transformer for Event-Based Vision
• DiffRate : Differentiable Compression Rate for Efficient Vision Transformers
• Scratching Visual Transformer's Back with Uniform Attention
• Skill Transformer: A Monolithic Policy for Mobile Manipulation
• A Multidimensional Analysis of Social Biases in Vision Transformers
• Token-Label Alignment for Vision Transformers
• Building Vision Transformers with Hierarchy Aware Feature Aggregation
• TripLe: Revisiting Pretrained Model Reuse and Progressive Learning for Efficient Vision Transformer Scaling and Searching
• DarSwin: Distortion Aware Radial Swin Transformer
• Robustifying Token Attention for Vision Transformers
• FLatten Transformer: Vision Transformer using Focused Linear Attention
• Detection Transformer with Stable Matching
• LaPE: Layer-adaptive Position Embedding for Vision Transformers with Independent Layer Normalization
• M2T: Masking Transformers Twice for Faster Decoding
• FDViT: Improve the Hierarchical Architecture of Vision Transformer
• Jumping through Local Minima: Quantization in the Loss Landscape of Vision Transformers
• Rethinking Vision Transformers for MobileNet Size and Speed
• Structure Invariant Transformation for better Adversarial Transferability
  :star:code
• SG-Former: Self-guided Transformer with Evolving Token Reallocation
  :star:code
• Pre-training Vision Transformers with Very Limited Synthesized Images
• SMMix: Self-Motivated Image Mixing for Vision Transformers
• Revisiting Vision Transformer from the View of Path Ensemble
• SwinLSTM:Improving Spatiotemporal Prediction Accuracy using Swin Transformer and LSTM
  :star:code
• Eventful Transformers: Leveraging Temporal Redundancy in Vision Transformers
• Contrastive Feature Masking Open-Vocabulary Vision Transformer
• MMST-ViT: Climate Change-aware Crop Yield Prediction via Multi-Modal Spatial-Temporal Vision Transformer
• SAL-ViT: Towards Latency Efficient Private Inference on ViT using Selective Attention Search with a Learnable Softmax Approximation
• SwiftFormer: Efficient Additive Attention for Transformer-based Real-time Mobile Vision Applications
• MPCViT: Searching for Accurate and Efficient MPC-Friendly Vision Transformer with Heterogeneous Attention

40.Anomaly Detection(异常检测)

• Unilaterally Aggregated Contrastive Learning with Hierarchical Augmentation for Anomaly Detection
• Anomaly Detection Under Distribution Shift
• Unsupervised Surface Anomaly Detection with Diffusion Probabilistic Model
• Anomaly Detection using Score-based Perturbation Resilience
• Remembering Normality: Memory-guided Knowledge Distillation for Unsupervised Anomaly Detection
• Template-guided Hierarchical Feature Restoration for Anomaly Detection
• Inter-Realization Channels: Unsupervised Anomaly Detection Beyond One-Class Classification
• 图像异常检测
  • Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image Anomaly Detection
    :star:code
• OOD
  • CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No
    :star:code
  • Meta OOD Learning for Continuously Adaptive OOD Detection
  • Simple and Effective Out-of-Distribution Detection via Cosine-based Softmax Loss
  • Nearest Neighbor Guidance for Out-of-Distribution Detection
    :star:code
  • Understanding the Feature Norm for Out-of-Distribution Detection
  • Meta OOD Learning For Continuously Adaptive OOD Detection
  • SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection
  • Unified Out-Of-Distribution Detection: A Model-Specific Perspective
  • Revisit PCA-based Technique for Out-of-Distribution Detection
  • Hierarchical Visual Categories Modeling: A Joint Representation Learning and Density Estimation Framework for Out-of-Distribution Detection
  • WDiscOOD: Out-of-Distribution Detection via Whitened Linear Discriminant Analysis

39.Keypoint Detection(关键点检测)

• Neural Interactive Keypoint Detection
  :star:code
• 3D Implicit Transporter for Temporally Consistent Keypoint Discovery
  :star:code

38.Vision-Language(视觉语言)

• Linear Spaces of Meanings: Compositional Structures in Vision-Language Models
• ViLTA: Enhancing Vision-Language Pre-training through Textual Augmentation
• Gloss-Free Sign Language Translation: Improving from Visual-Language Pretraining
• SuS-X: Training-Free Name-Only Transfer of Vision-Language Models
• Bayesian Prompt Learning for Image-Language Model Generalization
• eP-ALM: Efficient Perceptual Augmentation of Language Models
• Task-Oriented Multi-Modal Mutual Leaning for Vision-Language Models
• SLAN: Self-Locator Aided Network for Vision-Language Understanding
• Borrowing Knowledge From Pre-trained Language Model: A New Data-efficient Visual Learning Paradigm
• VL-Match: Enhancing Vision-Language Pretraining with Token-Level and Instance-Level Matching
• A Retrospect to Multi-prompt Learning across Vision and Language
• CiT: Curation in Training for Effective Vision-Language Data
• EgoTV: Egocentric Task Verification from Natural Language Task Descriptions
• Gradient-Regulated Meta-Prompt Learning for Generalizable Vision-Language Models
• Towards Unifying Medical Vision-and-Language Pre-Training via Soft Prompts
• Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models
• Perceptual Grouping in Contrastive Vision-Language Models
• Black Box Few-Shot Adaptation for Vision-Language Models
• CTP:Towards Vision-Language Continual Pretraining via Compatible Momentum Contrast and Topology Preservation
• VL-PET: Vision-and-Language Parameter-Efficient Tuning via Granularity Control
• GrowCLIP: Data-Aware Automatic Model Growing for Large-scale Contrastive Language-Image Pre-Training
• I Can't Believe There's No Images! Learning Visual Tasks Using only Language Supervision
• Too Large; Data Reduction for Vision-Language Pre-Training
• Equivariant Similarity for Vision-Language Foundation Models
• Going Beyond Nouns With Vision & Language Models Using Synthetic Data
• SINC: Self-Supervised In-Context Learning for Vision-Language Tasks
• Unified Visual Relationship Detection with Vision and Language Models
• ProbVLM: Probabilistic Adapter for Frozen Vison-Language Models
• Distilling Large Vision-Language Model with Out-of-Distribution Generalizability
• Distribution-Aware Prompt Tuning for Vision-Language Models
  :star:code
• LoGoPrompt: Synthetic Text Images Can Be Good Visual Prompts for Vision-Language Models
  :star:code
• CLIPTrans: Transferring Visual Knowledge with Pre-trained Models for Multimodal Machine Translation
• GrowCLIP: Data-aware Automatic Model Growing for Large-scale Contrastive Language-Image Pre-training
• RLIPv2: Fast Scaling of Relational Language-Image Pre-training
  :star:code
• Regularized Mask Tuning: Uncovering Hidden Knowledge in Pre-trained Vision-Language Models
  :star:code
• Why Is Prompt Tuning for Vision-Language Models Robust to Noisy Labels?
  :star:code
• Set-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-training Models
  :thumbsup:ICCV 2023 Oral | 南科大VIP Lab | 针对VLP模型的集合级引导攻击
• CTP: Towards Vision-Language Continual Pretraining via Compatible Momentum Contrast and Topology Preservation
  :star:code
• VL-PET: Vision-and-Language Parameter-Efficient Tuning via Granularity Control
  :star:code
• Knowledge-Aware Prompt Tuning for Generalizable Vision-Language Models
• VLSlice: Interactive Vision-and-Language Slice Discovery
  :house:project
• What does CLIP know about a red circle? Visual prompt engineering for VLMs
• BUS: Efficient and Effective Vision-Language Pre-Training with Bottom-Up Patch Summarization
• 视觉表示学习
  • Hallucination Improves the Performance of Unsupervised Visual Representation Learning
  • Semantics-Consistent Feature Search for Self-Supervised Visual Representation Learning
  • ViLLA: Fine-Grained Vision-Language Representation Learning from Real-World Data
• VLN
  • Learning Vision-and-Language Navigation from YouTube Videos
    :star:code
  • Learning Navigational Visual Representations with Semantic Map Supervision
  • Grounded Entity-Landmark Adaptive Pre-Training for Vision-and-Language Navigation
  • GridMM: Grid Memory Map for Vision-and-Language Navigation
  • Scaling Data Generation in Vision-and-Language Navigation
  • Bird's-Eye-View Scene Graph for Vision-Language Navigation
    :star:code
  • AerialVLN: Vision-and-Language Navigation for UAVs
    :star:code
  • DREAMWALKER: Mental Planning for Continuous Vision-Language Navigation
    :star:code
  • VLN-PETL: Parameter-Efficient Transfer Learning for Vision-and-Language Navigation
  • March in Chat: Interactive Prompting for Remote Embodied Referring Expression
  • Grounded Entity-Landmark Adaptive Pre-training for Vision-and-Language Navigation
  • BEVBert: Multimodal Map Pre-training for Language-guided Navigation
    :star:code
• Visual Grounding(视觉定位)
  • ViewRefer: Grasp the Multi-view Knowledge for 3D Visual Grounding
  • Distilling Coarse-to-Fine Semantic Matching Knowledge for Weakly Supervised 3D Visual Grounding
  • Confidence-aware Pseudo-label Learning for Weakly Supervised Visual Grounding
• Video-Language
  • HiTeA: Hierarchical Temporal-Aware Video-Language Pre-training
  • Learning Trajectory-Word Alignments for Video-Language Tasks
  • HiVLP: Hierarchical Interactive Video-Language Pre-Training
  • Verbs in Action: Improving Verb Understanding in Video-Language Models
  • Exploring Temporal Concurrency for Video-Language Representation Learning
  • EgoVLPv2: Egocentric Video-Language Pre-training with Fusion in the Backbone
  • SMAUG: Sparse Masked Autoencoder for Efficient Video-Language Pre-Training
• 视觉推理
  • ViperGPT: Visual Inference via Python Execution for Reasoning
• LLM
  • LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models
  • Enhancing NeRF akin to Enhancing LLMs: Generalizable NeRF Transformer with Mixture-of-View-Experts
    :star:code

37.Object Pose Estimation(物体姿势估计)

• IST-Net: Prior-Free Category-Level Pose Estimation with Implicit Space Transformation
• LU-NeRF: Scene and Pose Estimation by Synchronizing Local Unposed NeRFs
• PoseDiffusion: Solving Pose Estimation via Diffusion-aided Bundle Adjustment
• Nonrigid Object Contact Estimation With Regional Unwrapping Transformer
• 6D
  • Deep Fusion Transformer Network with Weighted Vector-Wise Keypoints Voting for Robust 6D Object Pose Estimation
  • SOCS: Semantically-Aware Object Coordinate Space for Category-Level 6D Object Pose Estimation under Large Shape Variations
  • Linear-Covariance Loss for End-to-End Learning of 6D Pose Estimation
  • Pseudo Flow Consistency for Self-Supervised 6D Object Pose Estimation
  • Center-Based Decoupled Point-cloud Registration for 6D Object Pose Estimation
  • Query6DoF: Learning Sparse Queries as Implicit Shape Prior for Category-Level 6DoF Pose Estimation
  • VI-Net: Boosting Category-level 6D Object Pose Estimation via Learning Decoupled Rotations on the Spherical Representations
    :star:code
  • Learning Symmetry-Aware Geometry Correspondences for 6D Object Pose Estimation
  • 3D Neural Embedding Likelihood: Probabilistic Inverse Graphics for Robust 6D Pose Estimation
• 物体计数
  • STEERER: Resolving Scale Variations for Counting and Localization via Selective Inheritance Learning
    :star:code
  • Interactive Class-Agnostic Object Counting
  • A Low-Shot Object Counting Network With Iterative Prototype Adaptation
• 动物姿势估计
  • Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape

36.Vision Question Answering(视觉问答)

• Toward Unsupervised Realistic Visual Question Answering
• Variational Causal Inference Network for Explanatory Visual Question Answering
• VQA Therapy: Exploring Answer Differences by Visually Grounding Answers
• VQA-GNN: Reasoning with Multimodal Knowledge via Graph Neural Networks for Visual Question Answering
• TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering
• Encyclopedic VQA: Visual Questions About Detailed Properties of Fine-Grained Categories
• PromptCap: Prompt-Guided Image Captioning for VQA with GPT-3
• Decouple Before Interact: Multi-Modal Prompt Learning for Continual Visual Question Answering
• Video-QA
  • Discovering Spatio-Temporal Rationales for Video Question Answering
    :star:code
  • Knowledge Proxy Intervention for Deconfounded Video Question Answering
  • Tem-adapter: Adapting Image-Text Pretraining for Video Question Answer
  • Open-vocabulary Video Question Answering: A New Benchmark for Evaluating the Generalizability of Video Question Answering Models
    :star:code
  • Tem-Adapter: Adapting Image-Text Pretraining for Video Question Answer
• 视频意图推理
  • IntentQA: Context-aware Video Intent Reasoning

35.Human Motion Prediction(人体运动预测)

• Auxiliary Tasks Benefit 3D Skeleton-based Human Motion Prediction
  :star:code
• Forecast-MAE: Self-supervised Pre-training for Motion Forecasting with Masked Autoencoders
  :star:code
• Priority-Centric Human Motion Generation in Discrete Latent Space
• MotionLM: Multi-Agent Motion Forecasting as Language Modeling
• HumanMAC: Masked Motion Completion for Human Motion Prediction
• Joint-Relation Transformer for Multi-Person Motion Prediction
• Bootstrap Motion Forecasting With Self-Consistent Constraints
• PhysDiff: Physics-Guided Human Motion Diffusion Model
• AttT2M: Text-Driven Human Motion Generation with Multi-Perspective Attention Mechanism
• BeLFusion: Latent Diffusion for Behavior-Driven Human Motion Prediction
• Social Diffusion: Long-term Multiple Human Motion Anticipation
• SINC: Spatial Composition of 3D Human Motions for Simultaneous Action Generation

34.Action Detection(动作识别)

• Multimodal Distillation for Egocentric Action Recognition
• Memory-and-Anticipation Transformer for Online Action Understanding
  :star:code
• Masked Motion Predictors are Strong 3D Action Representation Learners
  :star:code
• Efficient Video Action Detection with Token Dropout and Context Refinement
• Video-FocalNets: Spatio-Temporal Focal Modulation for Video Action Recognition
• E2E-LOAD: End-to-End Long-form Online Action Detection
• Ego-Only: Egocentric Action Detection without Exocentric Transferring
• Cross-Modal Learning with 3D Deformable Attention for Action Recognition
• DiffTAD: Temporal Action Detection with Proposal Denoising Diffusion
• STPrivacy: Spatio-Temporal Privacy-Preserving Action Recognition
• MiniROAD: Minimal RNN Framework for Online Action Detection
• Video Action Recognition with Attentive Semantic Units
• A Large-scale Study of Spatiotemporal Representation Learning with a New Benchmark on Action Recognition
• What Can a Cook in Italy Teach a Mechanic in India? Action Recognition Generalisation Over Scenarios and Locations
• 基于骨架的动作识别
  • LAC -- Latent Action Composition for Skeleton-based Action Segmentation
  • Generative Action Description Prompts for Skeleton-based Action Recognition
  • Parallel Attention Interaction Network for Few-Shot Skeleton-Based Action Recognition
  • Leveraging Spatio-Temporal Dependency for Skeleton-Based Action Recognition
  • Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action Recognition
  • Modeling the Relative Visual Tempo for Self-supervised Skeleton-based Action Recognition
  • SkeleTR: Towrads Skeleton-based Action Recognition in the Wild
  • Hard No-Box Adversarial Attack on Skeleton-Based Human Action Recognition with Skeleton-Motion-Informed Gradient
  • FSAR: Federated Skeleton-based Action Recognition with Adaptive Topology Structure and Knowledge Distillation
• 开集动作识别
  • SOAR: Scene-debiasing Open-set Action Recognition
    :star:code
• 零样本动作识别
  • MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge
• 小样本动作识别
  • Boosting Few-shot Action Recognition with Graph-guided Hybrid Matching
    :star:code
• 时序动作定位
  • DDG-Net: Discriminability-Driven Graph Network for Weakly-supervised Temporal Action Localization
    :star:code
  • Movement Enhancement toward Multi-Scale Video Feature Representation for Temporal Action Detection
  • Self-Feedback DETR for Temporal Action Detection
  • Action Sensitivity Learning for Temporal Action Localization
  • Revisiting Foreground and Background Separation in Weakly-supervised Temporal Action Localization
  • Learning from Noisy Pseudo Labels for Semi-Supervised Temporal Action Localization
• 弱监督动作定位
  • Weakly-Supervised Action Localization by Hierarchically-structured Latent Attention Modeling
• 小样本动作定位
  • Few-Shot Common Action Localization via Cross-Attentional Fusion of Context and Temporal Dynamics
• 动作理解
  • Memory-and-Anticipation Transformer for Online Action Understanding

33.Video(视频)

• Neural Video Depth Stabilizer
• NPC: Neural Point Characters from Video
• Localizing Moments in Long Video Via Multimodal Guidance
• Order-Prompted Tag Sequence Generation for Video Tagging
• Moment Detection in Long Tutorial Videos
• MMVP: Motion-Matrix-based Video Prediction
  :star:code
• D3G: Exploring Gaussian Prior for Temporal Sentence Grounding with Glance Annotation
  :star:code
• LAN-HDR: Luminance-based Alignment Network for High Dynamic Range Video Reconstruction
• TALL: Thumbnail Layout for Deepfake Video Detection
• Spatio-temporal Prompting Network for Robust Video Feature Extraction
• Neural Reconstruction of Relightable Human Model from Monocular Video
• 视频理解
  • Long-range Multimodal Pretraining for Movie Understanding
  • RefEgo: Referring Expression Comprehension Dataset from First-Person Perception of Ego4D
  • UniFormerV2: Unlocking the Potential of Image ViTs for Video Understanding
• 视频分类
  • ReGen: A good Generative Zero-Shot Video Classifier Should be Rewarded
  • Gram-based Attentive Neural Ordinary Differential Equations Network for Video Nystagmography Classification
  • Few-Shot Video Classification via Representation Fusion and Promotion Learning
• 视频合成
  • StyleInV: A Temporal Style Modulated Inversion Network for Unconditional Video Generation
    :house:project
    :star:code
  • Mixed Neural Voxels for Fast Multi-view Video Synthesis
  • WALDO: Future Video Synthesis Using Object Layer Decomposition and Parametric Flow Prediction
  • Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generators
  • StyleLipSync: Style-based Personalized Lip-sync Video Generation
  • Text2Performer: Text-Driven Human Video Generation
  • DreamPose: Fashion Video Synthesis with Stable Diffusion
  • Structure and Content-Guided Video Synthesis with Diffusion Models
• 视频稳定
  • Fast Full-frame Video Stabilization with Iterative Optimization
  • Minimum Latency Deep Online Video Stabilization
• Video Grounding(视频定位)
  • G2L: Semantically Aligned and Uniform Video Grounding via Geodesic and Game Theory
  • UniVTG: Towards Unified Video-Language Temporal Grounding
    :star:code
  • Knowing Where to Focus: Event-aware Transformer for Video Grounding
    :star:code
  • Scanning Only Once: An End-to-end Framework for Fast Temporal Grounding in Long Videos
• 视频分割
  • XMem++: Production-level Video Segmentation From Few Annotated Frames
  • Rethinking Amodal Video Segmentation from Learning Supervised Signals with Object-centric Representation
    :star:code
  • GraphEcho: Graph-Driven Unsupervised Domain Adaptation for Echocardiogram Video Segmentation
    :star:code
  • MeViS: A Large-scale Benchmark for Video Segmentation with Motion Expressions
    :star:code
    :star:code
    :thumbsup:ICCV2023｜新数据集 MeViS：基于动作描述的视频分割
  • MEGA: Multimodal Alignment Aggregation and Distillation For Cinematic Video Segmentation
  • Tracking Anything with Decoupled Video Segmentation
    :star:code
  • The Making and Breaking of Camouflage
  • Tube-Link: A Flexible Cross Tube Framework for Universal Video Segmentation
• 视频对应
  • Learning Fine-Grained Features for Pixel-wise Video Correspondences
    :star:code
• 视频感知
  • ResQ: Residual Quantization for Video Perception
• 视频识别
  • Audio-Visual Glance Network for Efficient Video Recognition
  • Efficient Decision-based Black-box Patch Attacks on Video Recognition
  • Learning from Semantic Alignment between Unpaired Multiviews for Egocentric Video Recognition
    :star:code
  • Implicit Temporal Modeling with Learnable Alignment for Video Recognition
• 视频修补
  • ProPainter: Improving Propagation and Transformer for Video Inpainting
    :star:code
• 视频表示学习
  • MGMAE: Motion Guided Masking for Video Masked Autoencoding
  • Spatio-Temporal Crop Aggregation for Video Representation Learning
• VAD
  • TeD-SPAD: Temporal Distinctiveness for Self-supervised Privacy-preservation for video Anomaly Detection
    :star:code
  • Video Anomaly Detection via Sequentially Learning Multiple Pretext Tasks
  • Feature Prediction Diffusion Model for Video Anomaly Detection
• Video Localization
  • UnLoc: A Unified Framework for Video Localization Tasks
    :star:code
  • Video OWL-ViT: Temporally-consistent open-world localization in video
  • Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection
  • TeD-SPAD: Temporal Distinctiveness for Self-Supervised Privacy-Preservation for Video Anomaly Detection
• 视频预测
  • MMVP: Motion-Matrix-Based Video Prediction
  • Efficient Video Prediction via Sparsely Conditioned Flow Matching
• 视频玻璃分割
  • Multi-view Spectral Polarization Propagation for Video Glass Segmentation
• 视频帧插值
  • Rethinking Video Frame Interpolation from Shutter Mode Induced Degradation
• 视频语义压缩
  • Non-Semantics Suppressed Mask Learning for Unsupervised Video Semantic Compression
• 视频-视频翻译
  • Shortcut-V2V: Compression Framework for Video-to-Video Translation Based on Temporal Redundancy Reduction

32.Sign Language Recognition(手语)

• Human Part-wise 3D Motion Context Learning for Sign Language Recognition
• CoSign: Exploring Co-occurrence Signals in Skeleton-based Continuous Sign Language Recognition
• Improving Continuous Sign Language Recognition with Cross-Lingual Signs
• C2ST: Cross-Modal Contextualized Sequence Transduction for Continuous Sign Language Recognition
• 手语翻译
  • Sign Language Translation with Iterative Prototype
  • Gloss-free Sign Language Translation: Improving from Visual-Language Pretraining
    :star:code

31.Human-Object Interaction(人物交互)

• Full-Body Articulated Human-Object Interaction
• Efficient Adaptive Human-Object Interaction Detection with Concept-guided Memory
• Learning Human-Human Interactions in Images from Weak Textual Supervision
• Persistent-Transient Duality: A Multi-mechanism Approach for Modeling Human-Object Interaction
• Re-mine, Learn and Reason: Exploring the Cross-modal Semantic Correlations for Language-guided HOI detection
• Agglomerative Transformer for Human-Object Interaction Detection
• InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion
  :star:code
• Exploring Predicate Visual Context in Detecting of Human-Object Interactions
• Persistent-Transient Duality: A Multi-Mechanism Approach for Modeling Human-Object Interaction
• Narrator: Towards Natural Control of Human-Scene Interaction Generation via Relationship Reasoning
• Open Set Video HOI detection from Action-Centric Chain-of-Look Prompting
• Hierarchical Generation of Human-Object Interactions with Diffusion Probabilistic Models
• 手物交互
  • EgoPCA: A New Framework for Egocentric Hand-Object Interaction Understanding
    :house:project
  • Diffusion-Guided Reconstruction of Everyday Hand-Object Interaction Clips
    :star:code
  • AffordPose: A Large-scale Dataset of Hand-Object Interactions with Affordance-driven Hand Pose
    :star:code
  • Novel-View Synthesis and Pose Estimation for Hand-Object Interaction from Sparse Views

30.SLAM/Augmented Reality/Virtual Reality/Robotics(增强/虚拟现实/机器人)

• 虚拟人物生成
  • MODA: Mapping-Once Audio-driven Portrait Animation with Dual Attentions
  • GETAvatar: Generative Textured Meshes for Animatable Human Avatars
  • NSF: Neural Surface Fields for Human Modeling from Monocular Depth
    :house:project
  • AvatarCraft: Transforming Text into Neural Human Avatars with Parameterized Shape and Pose Control
  • DINAR: Diffusion Inpainting of Neural Textures for One-Shot Human Avatars
• 机器人
  • Leveraging SE(3) Equivariance for Learning 3D Geometric Shape Assembly
    :star:code
    :star:code
  • PourIt!: Weakly-Supervised Liquid Perception from a Single Image for Visual Closed-Loop Robotic Pouring
• AR/VR
  • HMD-NeMo: Online 3D Avatar Motion Generation From Sparse Observations
• SLAM
  • GO-SLAM: Global Optimization for Consistent 3D Instant Reconstruction
    :star:code
    :star:code
  • Point-SLAM: Dense Neural Point Cloud-based SLAM
  • NeRF-LOAM: Neural Implicit Representation for Large-Scale Incremental LiDAR Odometry and Mapping
  • MV-Map: Offboard HD-Map Generation with Multi-view Consistency
• 虚拟试穿
  • Virtual Try-On with Pose-Garment Keypoints Guided Inpainting
  • Size Does Matter: Size-aware Virtual Try-on via Clothing-oriented Transformation Try-on Network

29.Autonomous vehicles(自动驾驶)

• HM-ViT: Hetero-Modal Vehicle-to-Vehicle Cooperative Perception with Vision Transformer(https://github.com/XHwind/HM-ViT)
• TransIFF: An Instance-Level Feature Fusion Framework for Vehicle-Infrastructure Cooperative 3D Detection with Transformers
• Learning Human Dynamics in Autonomous Driving Scenarios
• 自动驾驶
  • Improving Online Lane Graph Extraction by Object-Lane Clustering
  • SurroundOcc: Multi-camera 3D Occupancy Prediction for Autonomous Driving
  • Hidden Biases of End-to-End Driving Models
  • Optimizing the Placement of Roadside LiDARs for Autonomous Driving
  • VAD: Vectorized Scene Representation for Efficient Autonomous Driving
  • Domain Generalization of 3D Semantic Segmentation in Autonomous Driving
  • Unsupervised 3D Perception with 2D Vision-Language Distillation for Autonomous Driving
  • DriveAdapter: Breaking the Coupling Barrier of Perception and Planning in End-to-End Autonomous Driving
    :star:code
  • Video Task Decathlon: Unifying Image and Video Tasks in Autonomous Driving
    :house:project
  • Does Physical Adversarial Example Really Matter to Autonomous Driving? Towards System-Level Effect of Adversarial Object Evasion Attack
  • Towards Viewpoint Robustness in Bird's Eye View Segmentation
    :star:code
  • GameFormer: Game-theoretic Modeling and Learning of Transformer-based Interactive Prediction and Planning for Autonomous Driving
  • MV-DeepSDF: Implicit Modeling with Multi-Sweep Point Clouds for 3D Vehicle Reconstruction in Autonomous Driving
• 轨迹预测
  • ADAPT: Efficient Multi-Agent Trajectory Prediction with Adaptation
    :star:code
  • INT2: Interactive Trajectory Prediction at Intersections
  • Semi-supervised Semantics-guided Adversarial Training for Robust Trajectory Prediction
  • EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory Forecasting
  • Fast Inference and Update of Probabilistic Density Estimation on Trajectory Prediction
    :star:code
  • Learn TAROT with MENTOR: A Meta-Learned Self-Supervised Approach for Trajectory Prediction
  • Sparse Instance Conditioned Multimodal Trajectory Prediction
  • Trajectory Unified Transformer for Pedestrian Trajectory Prediction
  • BiFF: Bi-level Future Fusion with Polyline-based Coordinate for Interactive Trajectory Prediction
  • Joint Metrics Matter: A Better Standard for Trajectory Forecasting
  • Traj-MAE: Masked Autoencoders for Trajectory Prediction
  • TrajPAC: Towards Robustness Verification of Pedestrian Trajectory Prediction Models
• 车道线
  • PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images
    :star:code
  • ADNet: Lane Shape Prediction via Anchor Decomposition
    :star:code
  • LATR: 3D Lane Detection from Monocular Images with Transformer
    :star:code
  • Recursive Video Lane Detection
    :star:code
  • Sparse Point Guided 3D Lane Detection
  • Generating Dynamic Kernels via Transformers for Lane Detection

28.Style Transfer(风格迁移)

• All-to-Key Attention for Arbitrary Style Transfer
• AesPA-Net: Aesthetic Pattern-Aware Style Transfer Networks
  :star:code
• Creative Birds: Self-Supervised Single-View 3D Style Transfer
  :star:code
• StyleDiffusion: Controllable Disentangled Style Transfer via Diffusion Models
• Zero-Shot Contrastive Loss for Text-Guided Diffusion Image Style Transfer
• Two Birds, One Stone: A Unified Framework for Joint Learning of Image and Video Style Transfers
• StylerDALLE: Language-Guided Style Transfer Using a Vector-Quantized Tokenizer of a Large-Scale Generative Model
• 头发风格迁移
  • HairNeRF: Geometry-Aware Image Synthesis for Hairstyle Transfer
• 文本驱动的3D风格化
  • X-Mesh: Towards Fast and Accurate Text-driven 3D Stylization via Dynamic Textual Guidance

27.Self/Semi-Supervised Learning

• 全监督
  • OPERA: Omni-Supervised Representation Learning with Hierarchical Supervisions
• 无监督学习
  • NCHO: Unsupervised Learning for Neural 3D Composition of Humans and Objects
  • Householder Projector for Unsupervised Latent Semantics Discovery
  • Unsupervised Self-Driving Attention Prediction via Uncertainty Mining and Knowledge Embedding
• 弱监督学习
  • Box-based Refinement for Weakly Supervised and Unsupervised Localization Tasks
  • CORE: Co-planarity Regularized Monocular Geometry Estimation with Weak Supervision
• 自监督学习
  • Stable and Causal Inference for Discriminative Self-supervised Deep Visual Representations
  • Time Does Tell: Self-Supervised Time-Tuning of Dense Image Representations
  • Tubelet-Contrastive Self-Supervision for Video-Efficient Generalization
  • Active Self-Supervised Learning: A Few Low-Cost Relationships Are All You Need
  • Geometrized Transformer for Self-Supervised Homography Estimation
  • LightDepth: Single-View Depth Self-Supervision from Illumination Decline
  • Contactless Pulse Estimation Leveraging Pseudo Labels and Self-Supervision
  • CROSSFIRE: Camera Relocalization On Self-Supervised Features from an Implicit Representation
  • An Embarrassingly Simple Backdoor Attack on Self-supervised Learning
  • Learning by Sorting: Self-supervised Learning with Group Ordering Constraints
  • Representation Uncertainty in Self-Supervised Learning as Variational Inference
  • L-DAWA: Layer-wise Divergence Aware Weight Aggregation in Federated Self-Supervised Visual Representation Learning
  • Randomized Quantization: A Generic Augmentation for Data Agnostic Self-supervised Learning
  • Semantics Meets Temporal Correspondence: Self-supervised Object-centric Learning in Videos
    :star:code
  • Self-supervised Learning to Bring Dual Reversed Rolling Shutter Images Alive
  • Multi-Label Self-Supervised Learning with Scene Images
  • Weakly Supervised Learning of Semantic Correspondence through Cascaded Online Correspondence Refinement
  • Contrastive Continuity on Augmentation Stability Rehearsal for Continual Self-Supervised Learning
• 半监督学习
  • Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning
    :star:code
  • SimMatchV2: Semi-Supervised Learning with Graph Consistency
  • Rethinking Safe Semi-supervised Learning: Transferring the Open-set Problem to A Close-set One
  • Enhancing Sample Utilization through Sample Adaptive Augmentation in Semi-Supervised Learning
  • Semi-Supervised Learning via Weight-Aware Distillation under Class Distribution Mismatch
  • Learning Semi-supervised Gaussian Mixture Models for Generalized Category Discovery
  • SSB: Simple but Strong Baseline for Boosting Performance of Open-Set Semi-Supervised Learning
  • The Perils of Learning From Unlabeled Data: Backdoor Attacks on Semi-supervised Learning
  • A Soft Nearest-Neighbor Framework for Continual Semi-Supervised Learning
  • Towards Semi-supervised Learning with Non-random Missing Labels
    :star:code
  • Diverse Cotraining Makes Strong Semi-Supervised Segmentor
    :star:code
  • Semi-Supervised Learning via Weight-aware Distillation under Class Distribution Mismatch
    :star:code
  • IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization
    :star:code

26.Machine Learning(机器学习)

• SAFE: Machine Unlearning With Shard Graphs
• Mitigating Adversarial Vulnerability through Causal Parameter Estimation by Adversarial Double Machine Learning
• Adversarial Learning(对抗学习)
  • ACTIVE: Towards Highly Transferable 3D Physical Camouflage for Universal and Robust Vehicle Evasion
    :star:code
  • Towards Building More Robust Models with Frequency Bias
  • Backpropagation Path Search On Adversarial Transferability
  • Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregation
  • AdaptGuard: Defending Against Universal Attacks for Model Adaptation
  • Explaining Adversarial Robustness of Neural Networks from Clustering Effect Perspective
  • 黑盒
    • CGBA: Curvature-aware Geometric Black-box Attack
      :star:code
  • 对抗样本
    • Downstream-agnostic Adversarial Examples
    • Benchmarking and Analyzing Robust Point Cloud Recognition: Bag of Tricks for Defending Adversarial Examples
      :star:code
  • 对抗攻击
    • An Adaptive Model Ensemble Adversarial Attack for Boosting Adversarial Transferability
    • Unified Adversarial Patch for Cross-Modal Attacks in the Physical World
    • Tracing the Origin of Adversarial Attack for Forensic Investigation and Deterrence
    • How to Choose your Best Allies for a Transferable Attack?
    • LEA2: A Lightweight Ensemble Adversarial Attack via Non-overlapping Vulnerable Frequency Regions
    • RFLA: A Stealthy Reflected Light Adversarial Attack in the Physical World
    • Distracting Downpour: Adversarial Weather Attacks for Motion Estimation
    • Boosting Adversarial Transferability via Gradient Relevance Attack
    • SAGA: Spectral Adversarial Geometric Attack on 3D Meshes
    • F&F Attack: Adversarial Attack against Multiple Object Trackers by Inducing False Negatives and False Positives
    • Transferable Adversarial Attack for Both Vision Transformers and Convolutional Networks via Momentum Integrated Gradients
  • 对抗训练
    • Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning
      :star:code
    • Adversarial Finetuning with Latent Representation Constraint to Mitigate Accuracy-Robustness Tradeoff
    • Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning
    • Advancing Example Exploitation Can Alleviate Critical Challenges in Adversarial Training
    • Fast Adversarial Training with Smooth Convergence
    • TRM-UAP: Enhancing the Transferability of Data-Free Universal Adversarial Perturbation via Truncated Ratio Maximization
  • 后门
    • Beating Backdoor Attack at Its Own Game
    • Enhancing Fine-Tuning Based Backdoor Defense with Sharpness-Aware Minimization
    • Computation and Data Efficient Backdoor Attacks
• Class Incremental Learning(类增量学习)
  • Proxy Anchor-based Unsupervised Learning for Continuous Generalized Category Discovery
  • Online Class Incremental Learning on Stochastic Blurry Task Boundary via Mask and Visual Prompt Tuning
  • Prototype Reminiscence and Augmented Asymmetric Knowledge Aggregation for Non-Exemplar Class-Incremental Learning
  • Dynamic Residual Classifier for Class Incremental Learning
  • First Session Adaptation: A Strong Replay-Free Baseline for Class-Incremental Learning
  • Self-Organizing Pathway Expansion for Non-Exemplar Class-Incremental Learning
  • Knowledge Restore and Transfer for Multi-Label Class-Incremental Learning
  • Audio-Visual Class-Incremental Learning
    :star:code
  • Masked Autoencoders are Efficient Class Incremental Learners
    :star:code
  • Heterogeneous Forgetting Compensation for Class-Incremental Learning
    :star:code
  • Class-Incremental Grouping Network for Continual Audio-Visual Learning
    :star:code
  • Space-time Prompting for Video Class-incremental Learning
• 多任务学习
  • Efficient Controllable Multi-Task Architectures
  • Deep Multitask Learning with Progressive Parameter Sharing
  • AdaMV-MoE: Adaptive Multi-Task Vision Mixture-of-Experts
  • MAS: Towards Resource-Efficient Federated Multiple-Task Learning
    :thumbsup:ICCV 2023 | 如何在资源受限下进行联邦多任务学习
  • FULLER: Unified Multi-modality Multi-task 3D Perception via Multi-level Gradient Calibration
  • Vision Transformer Adapters for Generalizable Multitask Learning
    :star:code
  • TaskExpert: Dynamically Assembling Multi-Task Representations with Memorial Mixture-of-Experts
    :star:code
  • Achievement-Based Training Progress Balancing for Multi-Task Learning
• 持续学习
  • CLR: Channel-wise Lightweight Reprogramming for Continual Learning
    :star:code
  • Rapid Adaptation in Online Continual Learning: Are We Evaluating It Right?
  • Self-Evolved Dynamic Expansion Model for Task-Free Continual Learning
  • Wasserstein Expansible Variational Autoencoder for Discriminative and Generative Continual Learning
  • Measuring Asymmetric Gradient Discrepancy in Parallel Continual Learning
  • Data Augmented Flatness-aware Gradient Projection for Continual Learning
  • A Unified Continual Learning Framework with General Parameter-Efficient Tuning
  • Growing a Brain with Sparsity-Inducing Generation for Continual Learning
  • Towards Realistic Evaluation of Industrial Continual Learning Scenarios with an Emphasis on Energy Consumption and Computational Footprint
  • ICICLE: Interpretable Class Incremental Continual Learning
  • CLNeRF: Continual Learning Meets NeRF
    :star:code
    :house:project
  • SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model
  • TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation
  • Instance and Category Supervision are Alternate Learners for Continual Learning
  • Exemplar-Free Continual Transformer with Convolutions
  • Online Prototype Learning for Online Continual Learning
    :star:code
  • CBA: Improving Online Continual Learning via Continual Bias Adaptor
  • Introducing Language Guidance in Prompt-based Continual Learning
  • NAPA-VQ: Neighborhood Aware Prototype Augmentation with Vector Quantization for Continual Learning
    :star:code
  • Generating Instance-level Prompts for Rehearsal-free Continual Learning
  • Online Continual Learning on Hierarchical Label Expansion
  • Few-shot Continual Infomax Learning
  • NAPA-VQ: Neighborhood-Aware Prototype Augmentation with Vector Quantization for Continual Learning
• 增量学习
  • When Prompt-based Incremental Learning Does Not Meet Strong Pretraining
    :star:code
• Federated Learning(联邦学习)
  • When Do Curricula Work in Federated Learning?
  • Reducing Training Time in Cross-Silo Federated Learning Using Multigraph Topology
  • Robust Heterogeneous Federated Learning under Data Corruption
  • No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier
  • Federated Learning Over Images: Vertical Decompositions and Pre-Trained Backbones Are Difficult to Beat
  • Enhancing Privacy Preservation in Federated Learning via Learning Rate Perturbation
  • Local or Global: Selective Knowledge Assimilation for Federated Learning with Limited Labels
  • Holistic Geometric Feature Learning for Structured Reconstruction
  • ProtoFL: Unsupervised Federated Learning via Prototypical Distillation
  • Multi-Metrics Adaptively Identifies Backdoors in Federated Learning
  • zPROBE: Zero Peek Robustness Checks for Federated Learning
  • PGFed: Personalize Each Client's Global Objective for Federated Learning
  • Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence
  • Towards Instance-adaptive Inference for Federated Learning
  • Efficient Model Personalization in Federated Learning via Client-Specific Prompt Generation
  • FedPerfix: Towards Partial Model Personalization of Vision Transformers in Federated Learning
  • Workie-Talkie: Accelerating Federated Learning by Overlapping Computing and Communications via Contrastive Regularization
  • Generative Gradient Inversion via Over-Parameterized Networks in Federated Learning
  • FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation
  • Bold but Cautious: Unlocking the Potential of Personalized Federated Learning through Cautiously Aggressive Collaboration
• Reinforcement Learning(强化学习)
  • Improving Generalization in Visual Reinforcement Learning via Conflict-aware Gradient Agreement Augmentation
  • ReLeaPS : Reinforcement Learning-based Illumination Planning for Generalized Photometric Stereo
  • Environment Agnostic Representation for Visual Reinforcement Learning
  • PolicyCleanse: Backdoor Detection and Mitigation for Competitive Reinforcement Learning
  • GAIT: Generating Aesthetic Indoor Tours with Deep Reinforcement Learning
  • RLSAC: Reinforcement Learning Enhanced Sample Consensus for End-to-End Robust Estimation
  • Simoun: Synergizing Interactive Motion-appearance Understanding for Vision-based Reinforcement Learning
  • DISeR: Designing Imaging Systems with Reinforcement Learning
    :star:code
  • Learning to Identify Critical States for Reinforcement Learning from Videos
    :star:code
  • Towards Attack-tolerant Federated Learning via Critical Parameter Analysis
  • Stabilizing Visual Reinforcement Learning via Asymmetric Interactive Cooperation
• 迁移学习
  • Disposable Transfer Learning for Selective Source Task Unlearning
  • Towards Inadequately Pre-trained Models in Transfer Learning
  • Distilling from Similar Tasks for Transfer Learning on a Budget
  • Building a Winning Team: Selecting Source Model Ensembles using a Submodular Transferability Estimation Approach
  • Exploring Model Transferability through the Lens of Potential Energy
    :star:code
  • Disentangling Spatial and Temporal Learning for Efficient Image-to-Video Transfer Learning
    :star:code
• 元学习
  • Meta-ZSDETR: Zero-shot DETR with Meta-learning
  • Enhanced Meta Label Correction for Coping with Label Corruption
  • A Simple Recipe to Meta-Learn Forward and Backward Transfer
  • Dark Side Augmentation: Generating Diverse Night Examples for Metric Learning
  • Learning with Diversity: Self-Expanded Equalization for Better Generalized Deep Metric Learning
• 度量学习
  • Generalized Sum Pooling for Metric Learning
  • HSE: Hybrid Species Embedding for Deep Metric Learning
• 多模态学习
  • Preserving Modality Structure Improves Multi-Modal Learning
    :star:code
  • Distribution-Consistent Modal Recovering for Incomplete Multimodal Learning
  • DG3D: Generating High Quality 3D Textured Shapes by Learning to Discriminate Multi-Modal Diffusion-Renderings
  • Practical Membership Inference Attacks Against Large-Scale Multi-Modal Models: A Pilot Study
• 对比学习
  • Contrastive Learning Relies More on Spatial Inductive Bias Than Supervised Learning: An Empirical Study
  • CL-MVSNet: Unsupervised Multi-View Stereo with Dual-Level Contrastive Learning
  • Semantic Information in Contrastive Learning
  • Pre-Training-Free Image Manipulation Localization through Non-Mutually Exclusive Contrastive Learning
  • CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning
  • One-Shot Recognition of Any Material Anywhere Using Contrastive Learning with Physics-Based Rendering
  • All4One: Symbiotic Neighbour Contrastive Learning via Self-Attention and Redundancy Reduction
• 机器遗忘
  • MUter: Machine Unlearning on Adversarially Trained Models

25.Model Compression/Knowledge Distillation/Pruning(模型压缩/知识蒸馏/剪枝)

• ElasticViT: Conflict-aware Supernet Training for Deploying Fast Vision Transformer on Diverse Mobile Devices
• Tangent Model Composition for Ensembling and Continual Fine-tuning
• 量化
  • EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization
  • I-ViT: Integer-only Quantization for Efficient Vision Transformer Inference
  • RepQ-ViT: Scale Reparameterization for Post-Training Quantization of Vision Transformers
  • Causal-DFQ: Causality Guided Data-free Network Quantization
    :star:code
  • DenseShift: Towards Accurate and Efficient Low-Bit Power-of-Two Quantization
  • EQ-Net: Elastic Quantization Neural Networks
  • Causal-DFQ: Causality Guided Data-Free Network Quantization
• 剪枝
  • Unified Data-Free Compression: Pruning and Quantization without Fine-Tuning
  • Automatic Network Pruning via Hilbert-Schmidt Independence Criterion Lasso under Information Bottleneck Principle
  • Structural Alignment for Network Pruning through Partial Regularization
  • Differentiable Transportation Pruning
  • Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks
  • Towards Fairness-aware Adversarial Network Pruning
• 轻量级网络
  • Adaptive Frequency Filters As Efficient Global Token Mixers
• 知识蒸馏
  • DOT: A Distillation-Oriented Trainer
  • ORC: Network Group-based Knowledge Distillation using Online Role Change
  • Class-relation Knowledge Distillation for Novel Class Discovery
  • Beyond the Limitation of Monocular 3D Detector via Knowledge Distillation
  • FerKD: Surgical Label Adaptation for Efficient Distillation
  • Masked Autoencoders Are Stronger Knowledge Distillers
  • DETRDistill: A Universal Knowledge Distillation Framework for DETR-families
  • Distribution Shift Matters for Knowledge Distillation with Webly Collected Images
  • Automated Knowledge Distillation via Monte Carlo Tree Search
  • Cumulative Spatial Knowledge Distillation for Vision Transformers
  • Data-free Knowledge Distillation for Fine-grained Visual Categorization
  • Multi-Label Knowledge Distillation
    :star:code
  • DistillBEV: Boosting Multi-Camera 3D Object Detection with Cross-Modal Knowledge Distillation
  • Alleviating Catastrophic Forgetting of Incremental Object Detection via Within-Class and Between-Class Knowledge Distillation
  • From Knowledge Distillation to Self-Knowledge Distillation: A Unified Approach with Normalized Loss and Customized Soft Labels
  • Enhancing Adversarial Robustness in Low-Label Regime via Adaptively Weighted Regularization and Knowledge Distillation
• 模型压缩
  • Lossy and Lossless (L2) Post-training Model Size Compression

24.Few/Zero-Shot Learning/Domain Generalization/Adaptation(小/零样本/域泛化/域适应)

• 域适应
  • Unsupervised Accuracy Estimation of Deep Visual Models using Domain-Adaptive Adversarial Perturbation without Source Samples
  • Rethinking the Role of Pre-Trained Networks in Source-Free Domain Adaptation
  • Energy-based Self-Training and Normalization for Unsupervised Domain Adaptation
  • SSDA: Secure Source-Free Domain Adaptation
  • Black-Box Unsupervised Domain Adaptation with Bi-Directional Atkinson-Shiffrin Memory
  • PODA: Prompt-driven Zero-shot Domain Adaptation
  • Local Context-Aware Active Domain Adaptation
  • Similarity Min-Max: Zero-Shot Day-Night Domain Adaptation
  • Augmenting and Aligning Snippets for Few-Shot Video Domain Adaptation
  • Improved Knowledge Transfer for Semi-Supervised Domain Adaptation via Trico Training Strategy
  • Universal Domain Adaptation via Compressive Attention Matching
  • Unsupervised Domain Adaptation for Training Event-Based Networks Using Contrastive Learning and Uncorrelated Conditioning
  • GeT: Generative Target Structure Debiasing for Domain Adaptation
  • PADCLIP: Pseudo-labeling with Adaptive Debiasing in CLIP for Unsupervised Domain Adaptation
  • Homeomorphism Alignment for Unsupervised Domain Adaptation
  • Towards Effective Instance Discrimination Contrastive Loss for Unsupervised Domain Adaptation
  • Order-preserving Consistency Regularization for Domain Adaptation and Generalization
  • Complementary Domain Adaptation and Generalization for Unsupervised Continual Domain Shift Learning
  • One-Shot Generative Domain Adaptation
  • StyleDomain: Efficient and Lightweight Parameterizations of StyleGAN for One-shot and Few-shot Domain Adaptation
  • SFHarmony: Source Free Domain Adaptation for Distributed Neuroimaging Analysis
  • Domain Adaptive Few-Shot Open-Set Learning
  • Confidence-based Visual Dispersal for Few-shot Unsupervised Domain Adaptation
    :star:code
  • LiDAR-UDA: Self-ensembling Through Time for Unsupervised LiDAR Domain Adaptation
    :star:code
  • Unsupervised Domain Adaptive Detection with Network Stability Analysis
    :star:code
  • The Unreasonable Effectiveness of Large Language-Vision Models for Source-free Video Domain Adaptation
    :star:code
  • Domain-Specificity Inducing Transformers for Source-Free Domain Adaptation
    :house:project
  • DomainAdaptor: A Novel Approach to Test-time Adaptation
    :star:code
  • GeT: Generative Target Structure Debiasing for Domain Adaptation
    :star:code
  • Black-box Unsupervised Domain Adaptation with Bi-directional Atkinson-Shiffrin Memory
  • Towards Better Robustness against Common Corruptions for Unsupervised Domain Adaptation
  • Bidirectional Alignment for Domain Adaptive Detection with Transformers
  • Text-Driven Generative Domain Adaptation with Spectral Consistency Regularization
• 域泛化
  • Flatness-Aware Minimization for Domain Generalization
  • Cross Contrasting Feature Perturbation for Domain Generalization
  • Domain Generalization Guided by Gradient Signal to Noise Ratio of Parameters
  • DomainDrop: Suppressing Domain-Sensitive Channels for Domain Generalization
    :star:code
  • Domain Generalization via Balancing Training Difficulty and Model Capability
  • Activate and Reject: Towards Safe Domain Generalization under Category Shift
  • Adversarial Bayesian Augmentation for Single-Source Domain Generalization
  • PASTA: Proportional Amplitude Spectrum Training Augmentation for Syn-to-Real Domain Generalization
  • DandelionNet: Domain Composition with Instance Adaptive Classification for Domain Generalization
  • iDAG: Invariant DAG Searching for Domain Generalization
  • A Sentence Speaks a Thousand Images: Domain Generalization through Distilling CLIP with Language Guidance
  • Understanding Hessian Alignment for Domain Generalization
    :star:code
  • Domain Generalization via Rationale Invariance
    :star:code
  • PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization
    :house:project
  • Generalizable Decision Boundaries: Dualistic Meta-Learning for Open Set Domain Generalization
    :star:code
• 零样本学习
  • Hyperbolic Audio-visual Zero-shot Learning
  • Continual Zero-Shot Learning through Semantically Guided Generative Random Walks
    :star:code
  • Hierarchical Visual Primitive Experts for Compositional Zero-Shot Learning
    :star:code
  • Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning
• 小样本学习
  • Prototypes-oriented Transductive Few-shot Learning with Conditional Transport
  • Frequency Guidance Matters in Few-Shot Learning
  • CDFSL-V: Cross-Domain Few-Shot Learning for Videos
    :star:code
  • Read-only Prompt Optimization for Vision-Language Few-shot Learning
    :star:code
  • Task-aware Adaptive Learning for Cross-domain Few-shot Learning
  • DETA: Denoised Task Adaptation for Few-Shot Learning

23.Optical Flow Estimation(光流估计)

• GAFlow: Incorporating Gaussian Attention into Optical Flow
• AccFlow: Backward Accumulation for Long-Range Optical Flow
• SemARFlow: Injecting Semantics into Unsupervised Optical Flow Estimation for Autonomous Driving
• Explicit Motion Disentangling for Efficient Optical Flow Estimation
• VideoFlow: Exploiting Temporal Cues for Multi-frame Optical Flow Estimation
  :star:code
  :thumbsup:ICCV2023|港中文MMLab提出多帧光流估计模型VideoFlow，充分挖掘时序线索，Sintel与KITTI榜单排名第一
• MPI-Flow: Learning Realistic Optical Flow with Multiplane Images
  :star:code
  :thumbsup:从多平面图像中学习更真实的光流
• RPEFlow: Multimodal Fusion of RGB-PointCloud-Event for Joint Optical Flow and Scene Flow Estimation
  :star:code
  :star:code
• Event-based Temporally Dense Optical Flow Estimation with Sequential Learning
• TMA: Temporal Motion Aggregation for Event-based Optical Flow
• Taming Contrast Maximization for Learning Sequential, Low-latency, Event-based Optical Flow
• CroCo v2: Improved Cross-view Completion Pre-training for Stereo Matching and Optical Flow

22.OCR

• ChartReader: A Unified Framework for Chart Derendering and Comprehension without Heuristic Rules
• Self-Supervised Character-to-Character Distillation for Text Recognition
• Vision Grid Transformer for Document Layout Analysis
  :star:code
• CNN based Cuneiform Sign Detection Learned from Annotated 3D Renderings and Mapped Photographs with Illumination Augmentation
  :house:project
• ESTextSpotter: Towards Better Scene Text Spotting with Explicit Synergy in Transformer
  :star:code
• DocTr: Document Transformer for Structured Information Extraction in Documents
• 场景文本识别
  • LISTER: Neighbor Decoding for Length-Insensitive Scene Text Recognition
  • CLIPTER: Looking at the Bigger Picture in Scene Text Recognition
  • Revisiting Scene Text Recognition: A Data Perspective
• 中文文本识别
  • Chinese Text Recognition with A Pre-Trained CLIP-Like Model Through Image-IDS Aligning
    :star:code
• 文档图像校正
  • Foreground and Text-lines Aware Document Image Rectification
• 文档理解
  • Attention Where It Matters: Rethinking Visual Document Understanding with Selective Region Concentration
  • SCOB: Universal Text Understanding via Character-wise Supervised Contrastive Learning with Online Text Rendering for Bridging Domain Gap
    :star:code
• 字体生成
  • Few shot font generation via transferring similarity guided global style and quantization local style
    :star:code
• 实体识别
  • Open-domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia Entities
• 文本识别
  • MRN: Multiplexed Routing Network for Incremental Multilingual Text Recognition
• 手写打印文本分割
  • Handwritten and Printed Text Segmentation: A Signature Case Study
• 场景-文本理解
  • PreSTU: Pre-Training for Scene-Text Understanding

21.Point Cloud(点云)

• Self-Ordering Point Clouds
• Efficient LiDAR Point Cloud Oversegmentation Network
• Attention Discriminant Sampling for Point Clouds
• Dynamic Mesh Recovery from Partial Point Cloud Sequence
• Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning
• CO-PILOT: Dynamic Top-Down Point Cloud with Conditional Neighborhood Aggregation for Multi-Gigapixel Histopathology Image Representation
• Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models
• Ponder: Point Cloud Pre-training via Neural Rendering
• CO-Net: Learning Multiple Point Cloud Tasks at Once with A Cohesive Network
• SVDFormer: Complementing Point Cloud via Self-view Augmentation and Self-structure Dual-generator
• EPiC: Ensemble of Partial Point Clouds for Robust Classification
• Point Contrastive Prediction with Semantic Clustering for Self-Supervised Learning on Point Cloud Videos
• Masked Spatio-Temporal Structure Prediction for Self-supervised Learning on Point Cloud Videos
• SC3K: Self-supervised and Coherent 3D Keypoints Estimation from Rotated, Noisy, and Decimated Point Cloud Data
  :star:code
• 2D3D-MATR: 2D-3D Matching Transformer for Detection-free Registration between Images and Point Clouds
  :star:code
• DELFlow: Dense Efficient Learning of Scene Flow for Large-Scale Point Clouds
  :star:code
• Sketch and Text Guided Diffusion Model for Colored Point Cloud Generation
• Clustering based Point Cloud Representation Learning for 3D Analysis
  :star:code
• Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models
  :house:project
  :star:code
• PC-Adapter: Topology-Aware Adapter for Efficient Domain Adaption on Point Clouds with Rectified Pseudo-label
• Invariant Training 2D-3D Joint Hard Samples for Few-Shot Point Cloud Recognition
• PointDC: Unsupervised Semantic Segmentation of 3D Point Clouds via Cross-Modal Distillation and Super-Voxel Clustering
• 点云配准
  • Density-invariant Features for Distant Point Cloud Registration
  • Rethinking Point Cloud Registration as Masking and Reconstruction
  • Point-TTA: Test-Time Adaptation for Point Cloud Registration Using Multitask Meta-Auxiliary Learning
  • SIRA-PCR: Sim-to-Real Adaptation for 3D Point Cloud Registration
  • PointMBF: A Multi-scale Bidirectional Fusion Network for Unsupervised RGB-D Point Cloud Registration
    :star:code
  • Sample-adaptive Augmentation for Point Cloud Recognition Against Real-world Corruptions
    :star:code
  • AutoSynth: Learning to Generate 3D Training Data for Object Point Cloud Registration
  • RegFormer: An Efficient Projection-Aware Transformer Network for Large-Scale Point Cloud Registration
  • Chasing Clouds: Differentiable Volumetric Rasterisation of Point Clouds as a Highly Efficient and Accurate Loss for Large-Scale Deformable 3D Registration
• 点云分割
  • See More and Know More: Zero-shot Point Cloud Segmentation via Multi-modal Visual Data
  • Generalized Few-Shot Point Cloud Segmentation via Geometric Words
  • 2D-3D Interlaced Transformer for Point Cloud Segmentation with Scene-Level Supervision
  • ProtoTransfer: Cross-Modal Prototype Transfer for Point Cloud Segmentation
  • Zero-Shot Point Cloud Segmentation by Semantic-Visual Aware Synthesis
  • CPCM: Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation
  • GaPro: Box-Supervised 3D Point Cloud Instance Segmentation Using Gaussian Processes as Pseudo Labelers
    :star:code
  • Hierarchical Point-based Active Learning for Semi-supervised Point Cloud Semantic Segmentation
    :star:code
  • Generalized Few-Shot Point Cloud Segmentation Via Geometric Words
    :star:code
• 点云补全
  • P2C: Self-Supervised Point Cloud Completion from Single Partial Clouds
    :star:code
  • Learning Point Cloud Completion without Complete Point Clouds: A Pose-Aware Approach
  • Hyperbolic Chamfer Distance for Point Cloud Completion
  • VAPCNet: Viewpoint-Aware 3D Point Cloud Completion
• 点云分类
  • CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-Training
• 3D点云
  • 3DHacker: Spectrum-based Decision Boundary Generation for Hard-label 3D Point Cloud Attack
  • GridPull: Towards Scalability in Learning Implicit Representations from 3D Point Clouds
    :star:code
  • DiffFacto: Controllable Part-Based 3D Point Cloud Generation with Cross Diffusion
  • GeoUDF: Surface Reconstruction from 3D Point Clouds via Geometry-guided Distance Representation
• 4D 点云
  • LeaF: Learning Frames for 4D Point Cloud Sequence Understanding

20.Reid(人员重识别/步态识别/行人检测)

• 人员搜索
  • Self-similarity Driven Scale-invariant Learning for Weakly Supervised Person Search
  • Large-Scale Person Detection and Localization Using Overhead Fisheye Cameras
• Reid
  • Identity-Seeking Self-Supervised Representation Learning for Generalizable Person Re-identification
    :star:code
  • Person Re-Identification without Identification via Event anonymization
  • Part-Aware Transformer for Generalizable Person Re-identification
  • Unified Pre-training with Pseudo Texts for Text-To-Image Person Re-identification
  • Camera-Driven Representation Learning for Unsupervised Domain Adaptive Person Re-identification
  • Discrepant and Multi-Instance Proxies for Unsupervised Person Re-Identification
  • Learning Clothing and Pose Invariant 3D Shape Representation for Long-Term Person Re-Identification
  • Identity-Seeking Self-Supervised Representation Learning for Generalizable Person Re-Identification
  • 换衣重识别
    • DeepChange: A Long-Term Person Re-Identification Benchmark with Clothes Change
  • 可见光红外重识别
    • Modality Unifying Network for Visible-Infrared Person Re-Identification
    • Dual Pseudo-Labels Interactive Self-Training for Semi-Supervised Visible-Infrared Person Re-Identification
    • Towards Grand Unified Representation Learning for Unsupervised Visible-Infrared Person Re-Identification
    • Visible-Infrared Person Re-Identification via Semantic Alignment and Affinity Inference
    • Learning Concordant Attention via Target-aware Alignment for Visible-Infrared Person Re-identification
  • 文本-图像重识别
    • Unified Pre-Training with Pseudo Texts for Text-To-Image Person Re-Identification
• 步态识别
  • Hierarchical Spatio-Temporal Representation Learning for Gait Recognition
  • Fine-grained Unsupervised Domain Adaptation for Gait Recognition
  • DyGait: Exploiting Dynamic Representations for High-performance Gait Recognition
  • 基于姿势
    • GPGait: Generalized Pose-based Gait Recognition
  • 基于3D骨架
    • Physics-Augmented Autoencoder for 3D Skeleton-Based Gait Recognition
• 人群计数
  • Calibrating Uncertainty for Semi-Supervised Crowd Counting
  • Point-Query Quadtree for Crowd Counting, Localization, and More
    :star:code
  • Counting Crowds in Bad Weather

19.UAV/Remote Sensing/Satellite Image(无人机/遥感/卫星图像)

• View Consistent Purification for Accurate Cross-View Localization
• Class Prior-Free Positive-Unlabeled Learning with Taylor Variational Loss for Hyperspectral Remote Sensing Imagery
  :star:code
• Boosting 3-DoF Ground-to-Satellite Camera Localization Accuracy via Geometry-Guided Cross-View Transformer
• Scalable Multi-Temporal Remote Sensing Change Data Generation via Simulating Stochastic Change Process
• 遥感目标检测
  • Large Selective Kernel Network for Remote Sensing Object Detection
• 遥感图像分割
  • Seeing Beyond the Patch: Scale-Adaptive Semantic Segmentation of High-resolution Remote Sensing Imagery based on Reinforcement Learning
• 遥感图像理解
  • SatlasPretrain: A Large-Scale Dataset for Remote Sensing Image Understanding
• 无人机跟踪
  • Adaptive and Background-Aware Vision Transformer for Real-Time UAV Tracking
• 变化检测
  • MapFormer: Boosting Change Detection by Using Pre-change Information

18.Human Pose Estimation

• Plausible Uncertainties for Human Pose Regression
• BaRe-ESA: A Riemannian Framework for Unregistered Human Body Shapes
• Algebraically Rigorous Quaternion Framework for the Neural Network Pose Estimation Problem
• 人体姿态估计
  • DiffPose: SpatioTemporal Diffusion Model for Video-Based Human Pose Estimation
  • Rethinking Pose Estimation in Crowds: Overcoming the Detection Information Bottleneck and Ambiguity
  • SEFD: Learning to Distill Complex Pose and Occlusion
  • DiffPose: Multi-hypothesis Human Pose Estimation using Diffusion Models
  • Source-free Domain Adaptive Human Pose Estimation
  • Prior-guided Source-free Domain Adaptation for Human Pose Estimation
  • TEMPO: Efficient Multi-View Pose Estimation, Tracking, and Forecasting
  • MHEntropy: Entropy Meets Multiple Hypotheses for Pose and Shape Recovery
  • MixSynthFormer: A Transformer Encoder-like Structure with Mixed Synthetic Self-attention for Efficient Human Pose Estimation
  • Human from Blur: Human Pose Tracking from Blurry Images
• 多人姿态估计
  • Group Pose: A Simple Baseline for End-to-End Multi-person Pose Estimation
    :star:code
    :star:code
• 3D人体姿态估计
  • 3D-Aware Neural Body Fitting for Occlusion Robust 3D Human Pose Estimation
    :star:code
    :star:code
  • Diffusion-Based 3D Human Pose Estimation with Multi-Hypothesis Aggregation
  • Global Adaptation Meets Local Generalization: Unsupervised Domain Adaptation for 3D Human Pose Estimation
  • PhaseMP: Robust 3D Pose Estimation via Phase-conditioned Human Motion Prior
  • Test-time Personalizable Forecasting of 3D Human Poses
    :thumbsup:面向分布外角色的个性化人体运动预测
  • Probabilistic Triangulation for Uncalibrated Multi-View 3D Human Pose Estimation
  • HopFIR: Hop-wise GraphFormer with Intragroup Joint Refinement for 3D Human Pose Estimation
  • Co-Evolution of Pose and Mesh for 3D Human Body Estimation from Video
    :star:code
    :star:code
  • EMDB: The Electromagnetic Database of Global 3D Human Pose and Shape in the Wild
    :house:project
  • GLA-GCN: Global-local Adaptive Graph Convolutional Network for 3D Human Pose Estimation from Monocular Video
  • PoseFix: Correcting 3D Human Poses with Natural Language
  • Towards Robust and Smooth 3D Multi-Person Pose Estimation from Monocular Videos in the Wild
    :house:project
• 人体姿态预测
  • HDG-ODE: A Hierarchical Continuous-Time Model for Human Pose Forecasting
• 人体网格恢复
  • JOTR: 3D Joint Contrastive Learning with Transformers for Occluded Human Mesh Recovery
  • Probabilistic Human Mesh Recovery in 3D Scenes from Egocentric Views
  • Zolly: Zoom Focal Length Correctly for Perspective-Distorted Human Mesh Reconstruction
  • Delicate Textured Mesh Recovery from NeRF via Adaptive Surface Refinement
  • TORE: Token Reduction for Efficient Human Mesh Recovery with Transformer
  • Distribution-Aligned Diffusion for Human Mesh Recovery
    :star:code
  • Cloth2Body: Generating 3D Human Body Mesh from 2D Clothing
  • 3D Human Mesh Recovery with Sequentially Global Rotation Estimation
• 多人网格恢复
  • Coordinate Transformer: Achieving Single-stage Multi-person Mesh Recovery from Videos
    :star:code
• 3D人体恢复
  • ReFit: Recurrent Fitting Network for 3D Human Recovery
    :star:code
• 姿势迁移
  • Weakly-supervised 3D Pose Transfer with Keypoints
  • WaveIPT: Joint Attention and Flow Alignment in the Wavelet domain for Pose Transfer
  • Collecting The Puzzle Pieces: Disentangled Self-Driven Human Pose Transfer by Permuting Textures
  • Bidirectionally Deformable Motion Modulation For Video-based Human Pose Transfer
  • MAPConNet: Self-supervised 3D Pose Transfer with Mesh and Point Contrastive Learning
• 姿势生成
  • COOP: Decoupling and Coupling of Whole-Body Grasping Pose Generation
• 三维人体重建
  • Body Knowledge and Uncertainty Modeling for Monocular 3D Human Body ReconstructionMeta
  • Chupa: Carving 3D Clothed Humans from Skinned Shape Priors using 2D Diffusion Probabilistic Models
  • Get3DHuman: Lifting StyleGAN-Human into a 3D Generative Model Using Pixel-Aligned Reconstruction Priors
• 三维人体网格重建
  • Cyclic Test-Time Adaptation on Monocular Video for 3D Human Mesh Reconstruction
    :star:code
• 手部姿势估计
  • Deformer: Dynamic Fusion Transformer for Robust Hand Pose Estimation
  • HaMuCo: Hand Pose Estimation via Multiview Collaborative Self-Supervised Learning
• 3D手部姿态估计
  • OCHID-Fi: Occlusion-Robust Hand Pose Estimation in 3D via RF-Vision
  • RenderIH: A Large-Scale Synthetic Dataset for 3D Interacting Hand Pose Estimation
  • HandR2N2: Iterative 3D Hand Pose Estimation Using a Residual Recurrent Neural Network
  • RenderIH: A Large-scale Synthetic Dataset for 3D Interacting Hand Pose Estimation
    :star:code
• 手-物建模
  • CHORD: Category-level Hand-held Object Reconstruction via Shape Deformation
    :star:code
  • Dynamic Hyperbolic Attention Network for Fine Hand-object Reconstruction
  • Reconstructing Interacting Hands with Interaction Prior from Monocular Images
    :star:code
• 手部重建
  • Spectral Graphormer: Spectral Graph-based Transformer for Egocentric Two-Hand Reconstruction using Multi-View Color Images
  • Decoupled Iterative Refinement Framework for Interacting Hands Reconstruction from a Single RGB Image
  • Spectral Graphormer: Spectral Graph-Based Transformer for Egocentric Two-Hand Reconstruction using Multi-View Color Images
• 手势生成
  • LivelySpeaker: Towards Semantic-Aware Co-Speech Gesture Generation
  • Continual Learning for Personalized Co-speech Gesture Generation
• 手势识别
  • Learning Robust Representations with Information Bottleneck and Memory Network for RGB-D-based Gesture Recognition
  • 手部轨迹预测
    • Uncertainty-aware State Space Transformer for Egocentric 3D Hand Trajectory Forecasting
  • Data-Free Class-Incremental Hand Gesture Recognition
• 人体合成
  • UnitedHuman: Harnessing Multi-Source Data for High-Resolution Human Generation
    :star:code
    :star:code
  • 3DHumanGAN: 3D-Aware Human Image Generation with 3D Pose Mapping
• 3D 人体运动生成
  • Make-An-Animation: Large-Scale Text-conditional 3D Human Motion Generation
  • ActFormer: A GAN-based Transformer towards General Action-Conditioned 3D Human Motion Generation
  • Synthesizing Diverse Human Motions in 3D Indoor Scenes
  • TMR: Text-to-Motion Retrieval Using Contrastive 3D Human Motion Synthesis
  • Guided Motion Diffusion for Controllable Human Motion Synthesis
  • MotionBERT: A Unified Perspective on Learning Human Motion Representations
  • Fg-T2M: Fine-Grained Text-Driven Human Motion Generation via Diffusion Model
• 人体姿态异常检测
  • Normalizing Flows for Human Pose Anomaly Detection
• 舞蹈生成
  • FineDance: A Fine-grained Choreography Dataset for 3D Full Body Dance Generation
  • TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integration

17.Generative Adversarial Network

• LFS-GAN: Lifelong Few-Shot Image Generation
• Mimic3D: Thriving 3D-Aware GANs via 3D-to-2D Imitation
• What can Discriminator do? Towards Box-free Ownership Verification of Generative Adversarial Network
  :star:code
• OrthoPlanes: A Novel Representation for Better 3D-Awareness of GANs
• GlowGAN: Unsupervised Learning of HDR Images from LDR Images in the Wild
• Improving Diversity in Zero-Shot GAN Adaptation with Semantic Variations
• LinkGAN: Linking GAN Latents to Pixels for Controllable Image Synthesis
• Robust One-Shot Face Video Re-enactment using Hybrid Latent Spaces of StyleGAN2
• Smoothness Similarity Regularization for Few-Shot GAN Adaptation
• SIDGAN: High-Resolution Dubbed Video Generation via Shift-Invariant Learning
• Frequency-aware GAN for Adversarial Manipulation Generation
• What can Discriminator do? Towards Box-free Ownership Verification of Generative Adversarial Networks
• GAN 逆映射
  • Diverse Inpainting and Editing with GAN Inversion
  • Make Encoder Great Again in 3D GAN Inversion through Geometry and Occlusion-Aware Encoding

16.Super-Resolution(超分辨率)

• Self-Supervised Burst Super-Resolution
• Who Are You Referring To? Coreference Resolution In Image Narrations
• Spherical Space Feature Decomposition for Guided Depth Map Super-Resolution
• SRFormer: Permuted Self-Attention for Single Image Super-Resolution
• ESSAformer: Efficient Transformer for Hyperspectral Image Super-resolution
• Spatially-Adaptive Feature Modulation for Efficient Image Super-Resolution
• CuNeRF: Cube-Based Neural Radiance Field for Zero-Shot Medical Image Arbitrary-Scale Super Resolution
• Content-Aware Local GAN for Photo-Realistic Super-Resolution
• Boosting Single Image Super-Resolution via Partial Channel Shifting
• Reconstructed Convolution Module Based Look-Up Tables for Efficient Image Super-Resolution
• Learning Non-Local Spatial-Angular Correlation for Light Field Image Super-Resolution
• Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution
• On the Effectiveness of Spectral Discriminators for Perceptual Quality Improvement
  :star:code
• Dual Aggregation Transformer for Image Super-Resolution
  :star:code
• Feature Modulation Transformer: Cross-Refinement of Global Representation via High-Frequency Prior for Image Super-Resolution
  :star:code
• MetaF2N: Blind Image Super-Resolution by Learning Efficient Model Adaptation from Faces
  :star:code
• HSR-Diff: Hyperspectral Image Super-Resolution via Conditional Diffusion Models
• Lightweight Image Super-Resolution with Superpixel Token Interaction
• MSRA-SR: Image Super-resolution Transformer with Multi-scale Shared Representation Acquisition
• DLGSANet: Lightweight Dynamic Local and Global Self-Attention Networks for Image Super-Resolution
• Learning Correction Filter via Degradation-Adaptive Regression for Blind Single Image Super-Resolution
• 视频超分辨率
  • MoTIF: Learning Motion Trajectories with Local Implicit Neural Functions for Continuous Space-Time Video Super-Resolution
  • Learning Data-Driven Vector-Quantized Degradation Model for Animation Video Super-Resolution
  • Multi-Frequency Representation Enhancement with Privilege Information for Video Super-Resolution
• 基于参考的超分辨率
  • LMR: A Large-Scale Multi-Reference Dataset for Reference-Based Super-Resolution
• 图像重缩放
  • Downscaled Representation Matters: Improving Image Rescaling with Collaborative Downscaled Images

15.Image/Video Retrieval(图像/视频检索)

• Zero-Shot Composed Image Retrieval with Textual Inversion
• Democratising 2D Sketch to 3D Shape Retrieval Through Pivoting
• Learning Spatial-context-aware Global Visual Feature Representation for Instance Image Retrieval
• Prototypical Mixing and Retrieval-Based Refinement for Label Noise-Resistant Image Retrieval
• U-RED: Unsupervised 3D Shape Retrieval and Deformation for Partial Point Clouds
• DeDrift: Robust Similarity Search under Content Drift
• FashionNTM: Multi-turn Fashion Image Retrieval via Cascaded Memory
  :house:project
• Coarse-to-Fine: Learning Compact Discriminative Representation for Single-Stage Image Retrieval
  :star:code
• Global Features are All You Need for Image Retrieval and Reranking
  :star:code
• Unsupervised Feature Representation Learning for Domain-generalized Cross-domain Image Retrieval
• Towards Content-based Pixel Retrieval in Revisited Oxford and Paris
• Fan-Beam Binarization Difference Projection (FB-BDP): A Novel Local Object Descriptor for Fine-Grained Leaf Image Retrieval
• 图像-文本检索
  • LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval
• 文本-视频检索
  • Helping Hands: An Object-Aware Ego-Centric Video Recognition Model
  • DiffusionRet: Generative Text-Video Retrieval with Diffusion Model
  • Audio-Enhanced Text-to-Video Retrieval using Text-Conditioned Feature Alignment
  • PIDRo: Parallel Isomeric Attention with Dynamic Routing for Text-Video Retrieval
  • Prompt Switch: Efficient CLIP Adaptation for Text-Video Retrieval
  • In-Style: Bridging Text and Uncurated Videos with Style Transfer for Text-Video Retrieval
    :star:code
  • UATVR: Uncertainty-Adaptive Text-Video Retrieval
  • Progressive Spatio-Temporal Prototype Matching for Text-Video Retrieval
• 视频-文本检索
  • Multi-event Video-Text Retrieval
    :star:code
  • Unified Coarse-to-Fine Alignment for Video-Text Retrieval
    :star:code
• 视频检索
  • Simple Baselines for Interactive Video Retrieval with Questions and Answers
    :star:code
  • VADER: Video Alignment Differencing and Retrieval
  • Dual Learning with Dynamic Knowledge Distillation for Partially Relevant Video Retrieval
• 视频时刻检索
  • SCANet: Scene Complexity Aware Network for Weakly-Supervised Video Moment Retrieval

14.Image/Video Composition(图像/视频压缩)

• 图像压缩
  • TF-ICON: Diffusion-Based Training-Free Cross-Domain Image Composition
    :star:code
  • AdaNIC: Towards Practical Neural Image Compression via Dynamic Transform Routing
  • Semantically Structured Image Compression via Irregular Group-Based Decoupling
  • COMPASS: High-Efficiency Deep Image Compression with Arbitrary-scale Spatial Scalability
  • Computationally-Efficient Neural Image Compression with Shallow Decoders
  • Dec-Adapter: Exploring Efficient Decoder-Side Adapter for Bridging Screen Content and Natural Image Compression
  • TransTIC: Transferring Transformer-based Image Compression from Human Perception to Machine Perception
  • RFD-ECNet: Extreme Underwater Image Compression with Reference to Feature Dictionary
• 视频压缩
  • Deep Optics for Video Snapshot Compressive Imaging
  • Unfolding Framework with Prior of Convolution-Transformer Mixture and Uncertainty Estimation for Video Snapshot Compressive Imaging
  • Scene Matters: Model-based Deep Video Compression

13.Image Captions(图像字幕)

• Noise-Aware Learning from Web-Crawled Image-Text Data for Image Captioning
• UniT3D: A Unified Transformer for 3D Dense Captioning and Visual Grounding
• RCA-NOC: Relative Contrastive Alignment for Novel Object Captioning
• Guiding Image Captioning Models Toward More Specific Captions
• OxfordTVG-HIC: Can Machine Make Humorous Captions from Images?
• Transferable Decoding with Visual Entities for Zero-Shot Image Captioning
  :star:code
• Explore and Tell: Embodied Visual Captioning in 3D Environments
  :star:code
• With a Little Help from your own Past: Prototypical Memory Networks for Image Captioning
  :star:code
• With a Little Help from Your Own Past: Prototypical Memory Networks for Image Captioning
• 更改字幕
  • Self-supervised Cross-view Representation Reconstruction for Change Captioning
• 视频字幕
  • Accurate and Fast Compressed Video Captioning
  • Exploring Group Video Captioning with Efficient Relational Approximation

12.Medical Image(医学影像)

• LIMITR: Leveraging Local Information for Medical Image-Text Representation
• SKiT: a Fast Key Information Video Transformer for Online Surgical Phase Recognition
• LNPL-MIL: Learning from Noisy Pseudo Labels for Promoting Multiple Instance Learning in Whole Slide Image
• A skeletonization algorithm for gradient-based optimization
• Learning to Distill Global Representation for Sparse-View CT
  :star:code
• Taxonomy Adaptive Cross-Domain Adaptation in Medical Imaging via Optimization Trajectory Distillation
• Dual Meta-Learning with Longitudinally Generalized Regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan
  :star:code
• MRM: Masked Relation Modeling for Medical Image Pre-Training with Genetics
• Neural Deformable Models for 3D Bi-Ventricular Heart Shape Reconstruction and Modeling from 2D Sparse Cardiac Magnetic Resonance Imaging
• 医学影像配准
  • Towards Saner Deep Image Registration
    :star:code
  • Preserving Tumor Volumes for Unsupervised Medical Image Registration
    :star:code
• 医学报告生成
  • PRIOR: Prototype Representation Joint Learning from Medical Images and Reports
    :star:code
  • Unify, Align and Refine: Multi-Level Semantic Alignment for Radiology Report Generation
• 医学影像分割
  • CauSSL: Causality-inspired Semi-supervised Learning for Medical Image Segmentation
  • Dynamic Snake Convolution Based on Topological Geometric Constraints for Tubular Structure Segmentation
  • UniverSeg: Universal Medical Image Segmentation
  • Probabilistic Modeling of Inter- and Intra-observer Variability in Medical Image Segmentation
• 医学影像分析
  • Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image Analysis
  • ConSlide: Asynchronous Hierarchical Interaction Transformer with Breakup-Reorganize Rehearsal for Continual Whole Slide Image Analysis
• 切片分类
  • Multiple Instance Learning Framework with Masked Hard Instance Mining for Whole Slide Image Classification
    :star:code
  • Boosting Whole Slide Image Classification from the Perspectives of Distribution, Correlation and Magnification
• 细胞核检测
  • Affine-Consistent Transformer for Multi-Class Cell Nuclei Detection
• X 射线
  • MedKLIP: Medical Knowledge Enhanced Language-Image Pre-Training for X-ray Diagnosis
  • BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification
• MRI
  • MRI 重建
    • Decomposition-Based Variational Network for Multi-Contrast MRI Super-Resolution and Reconstruction
  • MRI超分辨率
    • Rethinking Multi-Contrast MRI Super-Resolution: Rectangle-Window Cross-Attention Transformer and Arbitrary-Scale Upsampling
• 脑肿瘤分割
  • Scratch Each Other's Back: Incomplete Multi-Modal Brain Tumor Segmentation via Category Aware Group Self-Support Learning
  • Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation
  • Dual Meta-Learning with Longitudinally Consistent Regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan
• 器官分割和肿瘤检测
  • CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection
• CT
  • Continual Segment: Towards a Single, Unified and Non-forgetting Continual Segmentation Model of 143 Whole-body Organs in CT Scans
  • DOLCE: A Model-Based Probabilistic Diffusion Framework for Limited-Angle CT Reconstruction
  • CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans
• 线粒体分割
  • Adaptive Template Transformer for Mitochondria Segmentation in Electron Microscopy Images

11.Image/Video Editing(图像/视频编辑)

• 图像编辑
  • Effective Real Image Editing with Accelerated Iterative Diffusion Inversion
  • Multimodal Garment Designer: Human-Centric Latent Diffusion Models for Fashion Image Editing
  • SKED: Sketch-guided Text-based 3D Editing
  • Prompt Tuning Inversion for Text-driven Image Editing Using Diffusion Models
  • A Latent Space of Stochastic Diffusion Models for Zero-Shot Image Editing and Guidance
• 视频编辑
  • StableVideo: Text-driven Consistency-aware Diffusion Video Editing
    :star:code
  • VidStyleODE: Disentangled Video Editing via StyleGAN and NeuralODEs
  • Pix2Video: Video Editing using Image Diffusion
  • FateZero: Fusing Attentions for Zero-shot Text-based Video Editing
• 头发编辑
  • HairCLIPv2: Unifying Hair Editing via Proxy Feature Blending

10.Image Synthesis(图像合成)

• Foreground Object Search by Distilling Composite Image Feature
  :star:code
• Beyond Image Borders: Learning Feature Extrapolation for Unbounded Image Composition
• 图像生成
  • MosaiQ: Quantum Generative Adversarial Networks for Image Generation on NISQ Computers
  • Neural Characteristic Function Learning for Conditional Image Generation
  • Efficient-VQGAN: Towards High-Resolution Image Generation with Efficient Vision Transformers
  • HumanSD: A Native Skeleton-Guided Diffusion Model for Human Image Generation
  • GRAM-HD: 3D-Consistent Image Generation at High Resolution with Generative Radiance Manifolds
  • The Euclidean Space is Evil: Hyperbolic Attribute Editing for Few-shot Image Generation
  • Generative Multiplane Neural Radiance for 3D-Aware Image Generation
  • EGC: Image Generation and Classification via a Diffusion Energy-Based Model
  • Personalized Image Generation for Color Vision Deficiency Population
  • 3D-aware Image Generation using 2D Diffusion Models
  • Ray Conditioning: Trading Photo-consistency for Photo-realism in Multi-view Image Generation
  • Both Diverse and Realism Matter: Physical Attribute and Style Alignment for Rainy Image Generation
• 图像合成
  • Conditional 360-degree Image Synthesis for Immersive Indoor Scene Decoration
  • Controllable Person Image Synthesis with Pose-Constrained Latent Diffusion
  • Steered Diffusion: A Generalized Framework for Plug-and-Play Conditional Image Synthesis
  • BallGAN: 3D-aware Image Synthesis with a Spherical Background
  • Perceptual Artifacts Localization for Image Synthesis Tasks
  • Masked Diffusion Transformer is a Strong Image Synthesizer
  • SideGAN: 3D-Aware Generative Model for Improved Side-View Image Synthesis
  • VeRi3D: Generative Vertex-based Radiance Fields for 3D Controllable Human Image Synthesis
  • MasaCtrl: Tuning-Free Mutual Self-Attention Control for Consistent Image Synthesis and Editing
  • CHORUS : Learning Canonicalized 3D Human-Object Spatial Relations from Unbounded Synthesized Images
• 文本-图像合成
  • Dense Text-to-Image Generation with Attention Modulation
    :star:code
  • Unleashing Text-to-Image Diffusion Models for Visual Perception
  • Anti-DreamBooth: Protecting Users from Personalized Text-to-image Synthesis
  • Text2Room: Extracting Textured 3D Meshes from 2D Text-to-Image Models
  • ELITE: Encoding Visual Concepts into Textual Embeddings for Customized Text-to-Image Generation
  • DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation Models
  • ITI-GEN: Inclusive Text-to-Image Generation
    :star:code
  • MagicFusion: Boosting Text-to-Image Generation Performance by Fusing Diffusion Models
  • Localizing Object-Level Shape Variations with Text-to-Image Diffusion Models
  • Expressive Text-to-Image Generation with Rich Text
  • Evaluating Data Attribution for Text-to-Image Models
  • Affective Image Filter: Reflecting Emotions from Text to Images
  • Editing Implicit Assumptions in Text-to-Image Diffusion Models
  • A-STAR: Test-time Attention Segregation and Retention for Text-to-image Synthesis
  • PODIA-3D: Domain Adaptation of 3D Generative Model Across Large Domain Gap Using Pose-Preserved Text-to-Image Diffusion
  • BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion
    :star:code
  • Learning to Generate Semantic Layouts for Higher Text-Image Correspondence in Text-to-Image Synthesis
    :star:code
  • Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models
  • Rickrolling the Artist: Injecting Backdoors into Text Encoders for Text-to-Image Synthesis
  • Text-Conditioned Sampling Framework for Text-to-Image Generation with Masked Generative Models
  • Zero-Shot Spatial Layout Conditioning for Text-to-Image Diffusion Models
  • Harnessing the Spatial-Temporal Attention of Diffusion Models for High-Fidelity Text-to-Image Synthesis
• 图像-视频生成
  • Breaking Temporal Consistency: Generating Video Universal Adversarial Perturbations Using Image Models
• 文本-视频生成
  • Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation
• 音频驱动的图像生成
  • Generating Realistic Images from In-the-wild Sounds
• X-图像生成
  • GlueGen: Plug and Play Multi-modal Encoders for X-to-image Generation
• 扩散
  • DPM-OT: A New Diffusion Probabilistic Model Based on Optimal Transport
    :star:code
  • FreeDoM: Training-Free Energy-Guided Conditional Diffusion Model
  • Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models
  • DDP: Diffusion Model for Dense Visual Prediction
  • GECCO: Geometrically-Conditioned Point Diffusion Models
  • LAW-Diffusion: Complex Scene Generation by Diffusion with Layouts
  • Scalable Diffusion Models with Transformers
  • Diffuse3D: Wide-Angle 3D Photography via Bilateral Diffusion
  • Diffusion Models as Masked Autoencoders
  • Versatile Diffusion: Text, Images and Variations All in One Diffusion Model
  • DS-Fusion: Artistic Typography via Discriminated and Stylized Diffusion
  • HyperDiffusion: Generating Implicit Neural Fields with Weight-Space Diffusion
  • The Stable Signature: Rooting Watermarks in Latent Diffusion Models
  • Improving Sample Quality of Diffusion Models Using Self-Attention Guidance
  • Ablating Concepts in Text-to-Image Diffusion Models
  • Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models
  • Score-Based Diffusion Models as Principled Priors for Inverse Imaging
  • Diffusion-SDF: Conditional Generative Modeling of Signed Distance Functions
  • Benchmarking Low-Shot Robustness to Natural Distribution Shifts
  • Viewset Diffusion: (0-)Image-Conditioned 3D Generative Models from 2D Data
  • AutoDiffusion: Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model Acceleration
  • Text2Tex: Text-driven Texture Synthesis via Diffusion Models
  • AdvDiffuser: Natural Adversarial Example Synthesis with Diffusion Models
  • Q-Diffusion: Quantizing Diffusion Models
  • Phasic Content Fusing Diffusion Model with Directional Distribution Consistency for Few-Shot Model Adaption
    :star:code
  • DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using Pre-trained Diffusion Models
  • DiffDis: Empowering Generative Diffusion Model with Cross-Modal Discrimination Capability
  • Texture Generation on 3D Meshes with Point-UV Diffusion
    :star:code
  • End-to-End Diffusion Latent Optimization Improves Classifier Guidance
  • Stochastic Segmentation with Conditional Categorical Diffusion Models
  • DIFFGUARD: Semantic Mismatch-Guided Out-of-Distribution Detection Using Pre-Trained Diffusion Models
  • Erasing Concepts from Diffusion Models
  • A Complete Recipe for Diffusion Generative Models
  • SVDiff: Compact Parameter Space for Diffusion Fine-Tuning
  • TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models
  • DiffDreamer: Towards Consistent Unsupervised Single-view Scene Extrapolation with Conditional Diffusion Models
• 3D形状生成
  • 3D Semantic Subspace Traverser: Empowering 3D Generative Model with Shape Editing Capability
    :star:code
  • SALAD: Part-Level Latent Diffusion for 3D Shape Generation and Manipulation
  • ShapeScaffolder: Structure-Aware 3D Shape Generation from Text
• 故事可视化
  • Story Visualization by Online Text Augmentation with Context Memory
• AIGC
  • ReMoDiffuse: Retrieval-Augmented Motion Diffusion Model
    :house:project
    :thumbsup:ICCV 2023|重塑人体动作生成，融合扩散模型与检索策略的新范式ReMoDiffuse来了
• 布局生成
  • LayoutDiffusion: Improving Graphic Layout Generation by Discrete Diffusion Probabilistic Models
  • CC3D: Layout-Conditioned Generation of Compositional 3D Scenes
  • A Parse-Then-Place Approach for Generating Graphic Layouts from Textual Descriptions
  • GlobalMapper: Arbitrary-Shaped Urban Layout Generation
  • DLT: Conditioned layout generation with Joint Discrete-Continuous Diffusion Layout Transformer
  • MapPrior: Bird's-Eye View Map Layout Estimation with Generative Models
• 文本-3D
  • Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation

9.Image Classification(图像分类)

• Adaptive Image Anonymization in the Context of Image Classification with Neural Networks
• Personalized Semantics Excitation for Federated Image Classification
• Learning Support and Trivial Prototypes for Interpretable Image Classification
• Boosting Novel Category Discovery Over Domains with Soft Contrastive Learning and All in One Classifier
• Dynamic Perceiver for Efficient Visual Recognition
• Agile Modeling: From Concept to Classifier in Minutes
• Waffling Around for Performance: Visual Classification with Random Words and Broad Concepts
• A step towards understanding why classification helps regression
• Image-free Classifier Injection for Zero-Shot Classification
  :star:code
• Label-Free Event-based Object Recognition via Joint Learning with Image Reconstruction from Events
  :star:code
• ImbSAM: A Closer Look at Sharpness-Aware Minimization in Class-Imbalanced Recognition
  :star:code
• Learning Concise and Descriptive Attributes for Visual Recognition
• Get the Best of Both Worlds: Improving Accuracy and Transferability by Grassmann Class Representation
  :star:code
• What do neural networks learn in image classification? A frequency shortcut perspective
• Identification of Systematic Errors of Image Classifiers on Rare Subgroups
• Better May Not Be Fairer: A Study on Subgroup Discrepancy in Image Classification
• Neglected Free Lunch - Learning Image Classifiers Using Annotation Byproducts
• 零样本图像分类
  • What Does a Platypus Look Like? Generating Customized Prompts for Zero-Shot Image Classification
  • Your Diffusion Model is Secretly a Zero-Shot Classifier
  • Image-Free Classifier Injection for Zero-Shot Classification
• 小样本图像分类
  • Class-Aware Patch Embedding Adaptation for Few-Shot Image Classification
• 多标签图像分类
  • CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image Classification
  • Learning in Imperfect Environment: Multi-Label Classification with Long-Tailed Distribution and Partial Labels
  • PatchCT: Aligning Patch Set and Label Set with Conditional Transport for Multi-Label Image Classification
  • Scene-Aware Label Graph Learning for Multi-Label Image Classification
  • Holistic Label Correction for Noisy Multi-Label Classification
• 细粒度识别/分类
  • Learning Gabor Texture Features for Fine-Grained Recognition
  • PDiscoNet: Semantically consistent part discovery for fine-grained recognition
  • Multi-View Active Fine-Grained Visual Recognition
  • Divide&Classify: Fine-Grained Classification for City-Wide Visual Geo-Localization
• 长尾识别
  • MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition
    :star:code
  • Subclass-balancing Contrastive Learning for Long-tailed Recognition
• 长尾分类
  • AREA: Adaptive Reweighting via Effective Area for Long-Tailed Classification
• 长尾学习
  • Local and Global Logit Adjustments for Long-Tailed Learning
  • Global Balanced Experts for Federated Long-Tailed Learning

8.Image Segmentation(图像分割)

• Segment Anything
  :house:project
• High Quality Entity Segmentation
• InterFormer: Real-time Interactive Image Segmentation
• Zero-guidance Segmentation Using Zero Segment Labels
• Video State-Changing Object Segmentation
• RbA: Segmenting Unknown Regions Rejected by All
• Locating Noise is Halfway Denoising for Semi-Supervised Segmentation
• SEMPART: Self-supervised Multi-resolution Partitioning of Image Semantics
• Texture Learning Domain Randomization for Domain Generalized Segmentation
• Open-vocabulary Object Segmentation with Diffusion Models
• SegGPT: Towards Segmenting Everything in Context
• Coarse-to-Fine Amodal Segmentation with Shape Prior
  :star:code
• Homography Guided Temporal Fusion for Road Line and Marking Segmentation
• SegPrompt: Boosting Open-world Segmentation via Category-level Prompt Learning
  :star:code
• Multi-interactive Feature Learning and a Full-time Multi-modality Benchmark for Image Fusion and Segmentation
  :star:code
• CoinSeg: Contrast Inter- and Intra- Class Representations for Incremental Segmentation
• Unmasking Anomalies in Road-Scene Segmentation
  :star:code
• DynaMITe: Dynamic Query Bootstrapping for Multi-object Interactive Segmentation Transformer
• LogicSeg: Parsing Visual Semantics with Neural Logic Learning and Reasoning
• SimpleClick: Interactive Image Segmentation with Simple Vision Transformers
• UniSeg: A Unified Multi-Modal LiDAR Segmentation Network and the OpenPCSeg Codebase
  :star:code
• 3D Segmentation of Humans in Point Clouds with Synthetic Data
• MasQCLIP for Open-Vocabulary Universal Image Segmentation
• FreeCOS: Self-Supervised Learning from Fractals and Unlabeled Images for Curvilinear Object Segmentation
• Rethinking Range View Representation for LiDAR Segmentation
• SegPrompt: Boosting Open-World Segmentation via Category-Level Prompt Learning
• 引用表达式分割
  • Advancing Referring Expression Segmentation Beyond Single Image
• 指代图像分割
  • Bridging Vision and Language Encoders: Parameter-Efficient Tuning for Referring Image Segmentation
    :star:code
  • Beyond One-to-One: Rethinking the Referring Image Segmentation
    :star:code
  • Referring Image Segmentation Using Text Supervision
    :star:code
  • Shatter and Gather: Learning Referring Image Segmentation with Text Supervision
  • Weakly Supervised Referring Image Segmentation with Intra-Chunk and Inter-Chunk Consistency
• 小样本分割
  • Self-Calibrated Cross Attention Network for Few-Shot Segmentation
    :star:code
  • MSI: Maximize Support-Set Information for Few-Shot Segmentation
• 语义分割
  • A Good Student is Cooperative and Reliable: CNN-Transformer Collaborative Learning for Semantic Segmentation
  • Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR Semantic Segmentation
  • SegRCDB: Semantic Segmentation via Formula-Driven Supervised Learning
  • Contrastive Model Adaptation for Cross-Condition Robustness in Semantic Segmentation
  • Learning Pseudo-Relations for Cross-domain Semantic Segmentation
  • Adaptive Superpixel for Active Learning in Semantic Segmentation
  • Dynamic Token Pruning in Plain Vision Transformers for Semantic Segmentation
  • MemorySeg: Online LiDAR Semantic Segmentation with a Latent Memory
  • Disentangle then Parse: Night-time Semantic Segmentation with Illumination Disentanglement
  • DiffuMask: Synthesizing Images with Pixel-level Annotations for Semantic Segmentation Using Diffusion Models
  • Boosting Semantic Segmentation from the Perspective of Explicit Class Embeddings
  • Informative Data Mining for One-Shot Cross-Domain Semantic Segmentation
    :star:code
  • CMDA: Cross-Modality Domain Adaptation for Nighttime Semantic Segmentation
    :star:code
  • To Adapt or Not to Adapt? Real-Time Adaptation for Semantic Segmentation
    :star:code
  • Residual Pattern Learning for Pixel-Wise Out-of-Distribution Detection in Semantic Segmentation
  • Look at the Neighbor: Distortion-aware Unsupervised Domain Adaptation for Panoramic Semantic Segmentation
  • SVQNet: Sparse Voxel-Adjacent Query Network for 4D Spatio-Temporal LiDAR Semantic Segmentation
  • Preparing the Future for Continual Semantic Segmentation
  • 点云语义分割
    • Retro-FPN: Retrospective Feature Pyramid Network for Point Cloud Semantic Segmentation
      :star:code
    • Using a Waffle Iron for Automotive Point Cloud Semantic Segmentation
    • Label-Guided Knowledge Distillation for Continual Semantic Segmentation on 2D Images and 3D Point Clouds
  • 小样本语义分割
    • Prototypical Kernel Learning and Open-set Foreground Perception for Generalized Few-shot Semantic Segmentation
  • 零样本语义分割
    • SATR: Zero-Shot Semantic Segmentation of 3D Shapes
  • 无监督语义分割
    • Learning Neural Eigenfunctions for Unsupervised Semantic Segmentation
  • 弱监督语义分割
    • MARS: Model-agnostic Biased Object Removal without Additional Supervision for Weakly-Supervised Semantic Segmentation
    • USAGE: A Unified Seed Area Generation Paradigm for Weakly Supervised Semantic Segmentation
    • FPR: False Positive Rectification for Weakly Supervised Semantic Segmentation
    • Treating Pseudo-labels Generation as Image Matting for Weakly Supervised Semantic Segmentation
  • 半监督语义分割
    • Space Engage: Collaborative Space Supervision for Contrastive-Based Semi-Supervised Semantic Segmentation
    • Large-Scale Land Cover Mapping with Fine-Grained Classes via Class-Aware Semi-Supervised Semantic Segmentation
    • Semi-Supervised Semantic Segmentation under Label Noise via Diverse Learning Groups
    • Logic-induced Diagnostic Reasoning for Semi-supervised Semantic Segmentation
      :star:code
    • Enhanced Soft Label for Semi-Supervised Semantic Segmentation
    • CFCG: Semi-Supervised Semantic Segmentation via Cross-Fusion and Contour Guidance Supervision
    • XNet: Wavelet-Based Low and High Frequency Fusion Networks for Fully- and Semi-Supervised Semantic Segmentation of Biomedical Images
  • 域适应语义分割
    • Diffusion-based Image Translation with Label Guidance for Domain Adaptive Semantic Segmentation
    • CrossMatch: Source-Free Domain Adaptive Semantic Segmentation via Cross-Modal Consistency Training
    • Focus on Your Target: A Dual Teacher-Student Framework for Domain-Adaptive Semantic Segmentation
    • CDAC: Cross-domain Attention Consistency in Transformer for Domain Adaptive Semantic Segmentation
  • 开放词汇语义分割
    • Exploring Open-Vocabulary Semantic Segmentation from CLIP Vision Encoder Distillation Only
    • Global Knowledge Calibration for Fast Open-Vocabulary Segmentation
    • A Simple Framework for Open-Vocabulary Segmentation and Detection
    • Open-Vocabulary Semantic Segmentation with Decoupled One-Pass Network
  • 开放世界语义分割
    • MixReorg: Cross-Modal Mixed Patch Reorganization is a Good Mask Learner for Open-World Semantic Segmentation
  • 3D 语义分割
    • BEV-DG: Cross-Modal Learning under Bird's-Eye View for Domain Generalization of 3D Semantic Segmentation
    • Multi-Modal Continual Test-Time Adaptation for 3D Semantic Segmentation
    • Efficient 3D Semantic Segmentation with Superpoint Transformer
    • You Never Get a Second Chance To Make a Good First Impression: Seeding Active Learning for 3D Semantic Segmentation
• 实例分割
  • BoxSnake: Polygonal Instance Segmentation with Box Supervision
  • TopoSeg: Topology-Aware Nuclear Instance Segmentation
  • MUVA: A New Large-Scale Benchmark for Multi-View Amodal Instance Segmentation in the Shopping Scenario
  • WaterMask: Instance Segmentation for Underwater Imagery
  • Learning Cross-Representation Affinity Consistency for Sparsely Supervised Biomedical Instance Segmentation
  • Class-incremental Continual Learning for Instance Segmentation with Image-level Weak Supervision
  • 3D 实例分割
    • Mask-Attention-Free Transformer for 3D Instance Segmentation
      :star:code
    • 3D Instance Segmentation via Enhanced Spatial and Semantic Supervision
    • Collaborative Propagation on Multiple Instance Graphs for 3D Instance Segmentation with Single-point Supervision
    • Query Refinement Transformer for 3D Instance Segmentation
  • 点云实例分割
    • Divide and Conquer: 3D Point Cloud Instance Segmentation With Point-Wise Binarization
  • 细胞实例分割
    • Unsupervised Learning of Object-Centric Embeddings for Cell Instance Segmentation in Microscopy Images
  • 半监督实例分割
    • Pseudo-label Alignment for Semi-supervised Instance Segmentation
      :star:code
  • 开放世界实例分割
    • Exploring Transformers for Open-world Instance Segmentation
  • 开放词汇实例分割
    • Betrayed by Captions: Joint Caption Grounding and Generation for Open Vocabulary Instance Segmentation
• 全景分割
  • Towards Deeply Unified Depth-aware Panoptic Segmentation with Bi-directional Guidance Learning
  • A Generalist Framework for Panoptic Segmentation of Images and Videos
  • Open-vocabulary Panoptic Segmentation with Embedding Modulation
  • 4D Panoptic Segmentation as Invariant and Equivariant Field Prediction
  • EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation
  • Point2Mask: Point-supervised Panoptic Segmentation via Optimal Transport
    :star:code
  • LiDAR-Camera Panoptic Segmentation via Geometry-Consistent and Semantic-Aware Alignment
    :star:code
• 开放词汇部分分割
  • Going Denser with Open-Vocabulary Part Segmentation
• VIS
  • CTVIS: Consistent Training for Online Video Instance Segmentation
    :star:code
  • DVIS: Decoupled Video Instance Segmentation Framework
    :star:code
    :thumbsup:ICCV 2023 | 发挥offline方法的潜力，武大&快手提出解耦合的视频实例分割框架DVIS
  • TCOVIS: Temporally Consistent Online Video Instance Segmentation
    :star:code
  • Towards Open-Vocabulary Video Instance Segmentation
    :thumbsup:面向开放任务的视频实例分割（ Oral )
• VOS
  • Spectrum-guided Multi-granularity Referring Video Object Segmentation
    :star:code
  • HTML: Hybrid Temporal-scale Multimodal Learning Framework for Referring Video Object Segmentation
  • Video Object Segmentation-aware Video Frame Interpolation
  • LVOS: A Benchmark for Long-term Video Object Segmentation
  • Robust Referring Video Object Segmentation with Cyclic Structural Consensus
  • Unsupervised Video Object Segmentation with Online Adversarial Self-Tuning
  • Alignment Before Aggregation: Trajectory Memory Retrieval Network for Video Object Segmentation
  • Multi-grained Temporal Prototype Learning for Few-shot Video Object Segmentation
    :star:code
  • Temporal Collection and Distribution for Referring Video Object Segmentation
    :star:code
  • OnlineRefer: A Simple Online Baseline for Referring Video Object Segmentation
    :star:code
  • Isomer: Isomerous Transformer for Zero-shot Video Object Segmentation
    :star:code
  • Scalable Video Object Segmentation with Simplified Framework
  • Learning Cross-Modal Affinity for Referring Video Object Segmentation Targeting Limited Samples
    :star:code
• 动作分割
  • Diffusion Action Segmentation
  • How Much Temporal Long-Term Context is Needed for Action Segmentation?
  • Video Action Segmentation via Contextually Refined Temporal Keypoints
  • Markov Game Video Augmentation for Action Segmentation
  • Weakly-Supervised Action Segmentation and Unseen Error Detection in Anomalous Instructional Videos
  • LAC - Latent Action Composition for Skeleton-based Action Segmentation
• 交互分割
  • Multi-granularity Interaction Simulation for Unsupervised Interactive Segmentation
• 基于文本的图像分割
  • LD-ZNet: A Latent Diffusion Approach for Text-Based Image Segmentation
• 场景解析
  • Re:PolyWorld - A Graph Neural Network for Polygonal Scene Parsing

7.Image Progress(低层图像处理、质量评价)

• DRAW: Defending Camera-shooted RAW against Image Manipulation
• SAFL-Net: Semantic-Agnostic Feature Learning Network with Auxiliary Plugins for Image Manipulation Detection
• Towards Generic Image Manipulation Detection with Weakly-Supervised Self-Consistency Learning
  :star:code
• Improving Lens Flare Removal with General Purpose Pipeline and Multiple Light Sources Recovery
• Deep Homography Mixture for Single Image Rolling Shutter Correction
• 图像修饰
  • RSFNet: A White-Box Image Retouching Approach using Region-Specific Color Filters
• 图像恢复
  • Physics-Driven Turbulence Image Restoration with Stochastic Refinement
    :star:code
  • Multi-weather Image Restoration via Domain Translation
  • PIRNet: Privacy-Preserving Image Restoration Network via Wavelet Lifting
  • DiffIR: Efficient Diffusion Model for Image Restoration
  • DDS2M: Self-Supervised Denoising Diffusion Spatio-Spectral Model for Hyperspectral Image Restoration
  • Under-Display Camera Image Restoration with Scattering Effect
    :star:code
  • Learning Image-Adaptive Codebooks for Class-Agnostic Image Restoration
  • Fingerprinting Deep Image Restoration Models
  • Focal Network for Image Restoration
  • FSI: Frequency and Spatial Interactive Learning for Image Restoration in Under-Display Cameras
  • Self-supervised Monocular Underwater Depth Recovery, Image Restoration, and a Real-sea Video Dataset
• 图像/视频修复
  • Rethinking Fast Fourier Convolution in Image Inpainting
  • Continuously Masked Transformer for Image Inpainting
  • Semantic-Aware Dynamic Parameter for Video Inpainting Transformer
  • MI-GAN: A Simple Baseline for Image Inpainting on Mobile Devices
  • CIRI: Curricular Inactivation for Residue-aware One-shot Video Inpainting
• 图像/视频增强
  • Coherent Event Guided Low-Light Video Enhancement
  • Lighting up NeRF via Unsupervised Decomposition and Enhancement
    :house:project
  • Implicit Neural Representation for Cooperative Low-light Image Enhancement
    :star:code
    :thumbsup:ICCV2023 | 将隐式神经表征用于“低光增强”，北大张健团队提出NeRCo
  • Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement
    :star:code
    :thumbsup:ICCV 2023 清华ETH提出 Retinexformer 刷新十三大暗光增强榜单
  • Low-Light Image Enhancement with Illumination-Aware Gamma Correction and Complete Image Modelling Network
  • Diff-Retinex: Rethinking Low-light Image Enhancement with A Generative Diffusion Model
  • Empowering Low-Light Image Enhancer through Customized Learnable Priors
    :star:code
  • ExposureDiffusion: Learning to Expose for Low-light Image Enhancement
  • NIR-assisted Video Enhancement via Unpaired 24-hour Data
  • Low-Light Image Enhancement with Multi-Stage Residue Quantization and Brightness-Aware Attention
  • Iterative Prompt Learning for Unsupervised Backlit Image Enhancement
• 图像/视频去雨
  • Sparse Sampling Transformer with Uncertainty-Driven Ranking for Unified Removal of Raindrops and Rain Streaks
  • Learning Rain Location Prior for Nighttime Deraining
  • Unsupervised Video Deraining with An Event Camera
• 图像去噪
  • Delta Denoising Score
  • Random Sub-Samples Generation for Self-Supervised Real Image Denoising
    :star:code
  • Denoising Diffusion Autoencoders are Unified Self-supervised Learners
  • Noise2Info: Noisy Image to Information of Noise for Self-Supervised Image Denoising
  • Iterative Denoiser and Noise Estimator for Self-Supervised Image Denoising
  • Self-supervised Image Denoising with Downsampled Invariance Loss and Conditional Blind-Spot Network
  • The Devil is in the Upsampling: Architectural Decisions Made Simpler for Denoising with Deep Image Prior
  • Lighting Every Darkness in Two Pairs: A Calibration-Free Pipeline for RAW Denoising
    :star:code
  • Score Priors Guided Deep Variational Inference for Unsupervised Real-World Single Image Denoising
  • Unsupervised Image Denoising in Real-World Scenarios via Self-Collaboration Parallel Generative Adversarial Branches
  • Multi-view Self-supervised Disentanglement for General Image Denoising
  • RED-PSM: Regularization by Denoising of Partially Separable Models for Dynamic Imaging
  • Hybrid Spectral Denoising Transformer with Guided Attention
• 图像去雾
  • MB-TaylorFormer: Multi-branch Efficient Transformer Expanded by Taylor Formula for Image Dehazing
    :star:code
    :thumbsup:ICCV2023 | 更快、更灵活的 Transformer图像去雾网络
• 图像去除阴影
  • Boundary-Aware Divide and Conquer: A Diffusion-Based Solution for Unsupervised Shadow Removal
  • Leveraging Inpainting for Single-Image Shadow Removal
• 图像/视频去模糊
  • Exploring Temporal Frequency Spectrum in Deep Video Deblurring
  • Single Image Deblurring with Row-dependent Blur Magnitude
  • Multi-Scale Residual Low-Pass Filter Network for Image Deblurring
  • Multiscale Structure Guided Diffusion for Image Deblurring
  • Single Image Defocus Deblurring via Implicit Neural Inverse Kernels
  • Non-Coaxial Event-Guided Motion Deblurring with Spatial Alignment
  • Deep Feature Deblurring Diffusion for Detecting Out-of-Distribution Objects
• 图像/视频区摩尔纹
  • Deep Video Demoireing via Compact Invertible Dyadic Decomposition
• 去马赛克/去鬼影
  • Joint Demosaicing and Deghosting of Time-Varying Exposures for Single-Shot HDR Imaging
  • Alignment-free HDR Deghosting with Semantics Consistent Transformer
• 图像/视频质量评估
  • Test Time Adaptation for Blind Image Quality Assessment
  • Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives
• 图像和谐化
  • Learning Global-aware Kernel for Image Harmonization
  • Deep Image Harmonization with Learnable Augmentation
    :star:code
  • Deep Image Harmonization with Globally Guided Feature Transformation and Relation Distillation
    :star:code
  • Learning Image Harmonization in the Linear Color Space
• 图像校正
  • SimFIR: A Simple Framework for Fisheye Image Rectification with Self-supervised Representation Learning
  • Innovating Real Fisheye Image Correction with Dual Diffusion Architecture
• 图像拼接
  • Parallax-Tolerant Unsupervised Deep Image Stitching
• 图像着色
  • DDColor: Towards Photo-Realistic Image Colorization via Dual Decoders
• 图像/视频分解
  • Variational Degeneration to Structural Refinement: A Unified Framework for Superimposed Image Decomposition
  • uSplit: Image Decomposition for Fluorescence Microscopy
  • Hashing Neural Video Decomposition with Multiplicative Residuals in Space-Time
• 运动(去)模糊
  • Generalizing Event-Based Motion Deblurring in Real-World Scenarios
  • ExBluRF: Efficient Radiance Fields for Extreme Motion Blurred Images
• 水印去除
  • Fine-grained Visible Watermark Removal

6.Face(人脸)

• StyleGANEX: StyleGAN-Based Manipulation Beyond Cropped Aligned Faces
• Efficient Region-Aware Neural Radiance Fields for High-Fidelity Talking Portrait Synthesis
• UniFace: Unified Cross-Entropy Loss for Deep Face Recognition
• Human-Inspired Facial Sketch Synthesis with Dynamic Adaptation
  :star:code
• Can Language Models Learn to Listen?
  :house:project
• Out-of-Domain GAN Inversion via Invertibility Decomposition for Photo-Realistic Human Face Manipulation
• Knowledge-Spreader: Learning Semi-Supervised Facial Action Dynamics by Consistifying Knowledge Granularity
• 去识别
  • Divide and Conquer: a Two-Step Method for High Quality Face De-identification with Model Explainability
• 人脸活体检测
  • Towards Unsupervised Domain Generalization for Face Anti-Spoofing
  • Rehearsal-Free Domain Continual Face Anti-Spoofing: Generalize More and Forget Less
  • FLIP: Cross-domain Face Anti-spoofing with Language Guidance
• 说话头合成
  • Implicit Identity Representation Conditioned Memory Compensation Network for Talking Head video Generation
    :star:code
  • Efficient Emotional Adaptation for Audio-Driven Talking-Head Generation
    :star:code
  • Talking Head Generation with Probabilistic Audio-to-Visual Diffusion Priors
  • Emotional Listener Portrait: Neural Listener Head Generation with Emotion
• 说话人脸合成
  • EMMN: Emotional Motion Memory Network for Audio-driven Emotional Talking Face Generation
• 人脸交换
  • BlendFace: Re-designing Identity Encoders for Face-Swapping
    :star:code
    :star:code
  • Reinforced Disentanglement for Face Swapping without Skip Connection
• 假脸检测
  • Controllable Guide-Space for Generalizable Face Forgery Detection
• 人脸再现
  • HyperReenact: One-Shot Reenactment via Jointly Learning to Refine and Retarget Faces
    :star:code
    :star:code
  • ToonTalker: Cross-Domain Face Reenactment
• 文本驱动的人脸处理
  • FaceCLIPNeRF: Text-driven 3D Face Manipulation using Deformable Neural Radiance Fields
• 人脸表情
  • GaFET: Learning Geometry-aware Facial Expression Translation from In-The-Wild Images
  • Latent-OFER: Detect, Mask, and Reconstruct with Latent Vectors for Occluded Facial Expression Recognition
  • A-Net: Landmark-Aware Learning for Reliable Facial Expression Recognition under Label Noise
• 人脸识别
  • IDiff-Face: Synthetic-based Face Recognition through Fizzy Identity-Conditioned Diffusion Models
  • Invariant Feature Regularization for Fair Face Recognition
  • Benchmarking Algorithmic Bias in Face Recognition: An Experimental Approach Using Synthetic Faces and Human Evaluation
  • TransFace: Calibrating Transformer Training for Face Recognition from a Data-Centric Perspective
    :star:code
  • How to Boost Face Recognition with StyleGAN?
  • Privacy-Preserving Face Recognition Using Random Frequency Components
    :star:code
  • ICD-Face: Intra-class Compactness Distillation for Face Recognition
• 人脸聚类
  • Face Clustering via Graph Convolutional Networks with Confidence Edges
  • CLIP-Cluster: CLIP-Guided Attribute Hallucination for Face Clustering
• 人脸合成
  • LPFF: A Portrait Dataset for Face Generators Across Large Poses
  • Preface: A Data-driven Volumetric Prior for Few-shot Ultra High-resolution Face Synthesis
• 3D 人脸
  • Unpaired Multi-domain Attribute Translation of 3D Facial Shapes with a Square and Symmetric Geometric Map
  • ASM: Adaptive Skinning Model for High-Quality 3D Face Modeling
  • Relightify: Relightable 3D Faces from a Single Image via Diffusion Models
  • 3D人脸合成
    • Towards High-Fidelity Text-Guided 3D Face Generation and Manipulation Using only Images
  • 3D 人脸动画
    • EmoTalk: Speech-Driven Emotional Disentanglement for 3D Face Animation
    • Semi-supervised Speech-driven 3D Facial Animation via Cross-modal Encoding
    • Imitator: Personalized Speech-driven 3D Facial Animation
    • Speech4Mesh: Speech-Assisted Monocular 3D Facial Reconstruction for Speech-Driven 3D Facial Animation
  • 3D 人脸重建
    • Template Inversion Attack against Face Recognition Systems using 3D Face Reconstruction
    • HiFace: High-Fidelity 3D Face Reconstruction by Learning Static and Dynamic Details
    • Accurate 3D Face Reconstruction with Facial Component Tokens
• 人脸质量评估
  • Troubleshooting Ethnic Quality Bias with Curriculum Domain Adaptation for Face Image Quality Assessment
• 人脸恢复
  • Towards Authentic Face Restoration with Iterative Diffusion Models and Beyond
  • PATMAT: Person Aware Tuning of Mask-Aware Transformer for Face Inpainting
• 人脸编辑
  • Unsupervised Facial Performance Editing via Vector-Quantized StyleGAN Representations
  • Conceptual and Hierarchical Latent Space Decomposition for Face Editing
  • RIGID: Recurrent GAN Inversion and Editing of Real Face Videos
  • Adaptive Nonlinear Latent Transformation for Conditional Face Editing
• 语音驱动的人像动画
  • SPACE: Speech-driven Portrait Animation with Controllable Expression
• 人脸重照明
  • DiFaReli: Diffusion Face Relighting
• 面部行为理解
  • Weakly-Supervised Text-Driven Contrastive Learning for Facial Behavior Understanding
  • ReactioNet: Learning High-Order Facial Behavior from Universal Stimulus-Reaction by Dyadic Relation Reasoning

5.Biometric Recognition(生物特征识别)

• 掌纹识别
  • RPG-Palm: Realistic Pseudo-data Generation for Palmprint Recognition
    :star:code

4.Object Tracking(目标跟踪)

• Tracking Everything Everywhere All at Once
• Deep Active Contours for Real-time 6-DoF Object Tracking
• Humans in 4D: Reconstructing and Tracking Humans with Transformers
• Cross-Modal Orthogonal High-Rank Augmentation for RGB-Event Transformer-Trackers
• Multiple Planar Object Tracking
• End-to-end 3D Tracking with Decoupled Queries
• TAPIR: Tracking Any Point with Per-Frame Initialization and Temporal Refinement
• 多目标跟踪
  • MeMOTR: Long-Term Memory-Augmented Transformer for Multi-Object Tracking
    :star:code
  • Tracking without Label: Unsupervised Multiple Object Tracking via Contrastive Similarity Learning
  • Collaborative Tracking Learning for Frame-Rate-Insensitive Multi-Object Tracking
  • DARTH: Holistic Test-time Adaptation for Multiple Object Tracking
  • Uncertainty-aware Unsupervised Multi-Object Tracking
  • TrackFlow: Multi-Object Tracking with Normalizing Flows
  • 3DMOTFormer: Graph Transformer for Online 3D Multi-Object Tracking
    :star:code
  • ReST: A Reconfigurable Spatial-Temporal Graph Model for Multi-Camera Multi-Object Tracking
  • Object-Centric Multiple Object Tracking
  • Heterogeneous Diversity Driven Active Learning for Multi-Object Tracking
• 视觉跟踪
  • Exploring Lightweight Hierarchical Vision Transformers for Efficient Visual Tracking
  • CiteTracker: Correlating Image and Text for Visual Tracking
  • Robust Object Modeling for Visual Tracking
    :star:code
  • PVT++: A Simple End-to-End Latency-Aware Visual Tracking Framework
  • Integrating Boxes and Masks: A Multi-Object Framework for Unified Visual Tracking and Segmentation
    :star:code
  • Foreground-Background Distribution Modeling Transformer for Visual Object Tracking
• 3D目标跟踪
  • Delving into Motion-Aware Matching for Monocular 3D Object Tracking
    :star:code
  • Synchronize Feature Extracting and Matching: A Single Branch Framework for 3D Object Tracking
  • MixCycle: Mixup Assisted Semi-Supervised 3D Single Object Tracking with Cycle Consistency
  • TrajectoryFormer: 3D Object Tracking Transformer with Predictive Trajectory Hypotheses
  • MBPTrack: Improving 3D Point Cloud Tracking with Memory Networks and Box Priors

3.Object Detection(目标检测)

• Deep Equilibrium Object Detection
• DIRE for Diffusion-Generated Image Detection
• DiffusionDet: Diffusion Model for Object Detection
• Shift from Texture-bias to Shape-bias: Edge Deformation-based Augmentation for Robust Object Recognition
• Detecting Objects with Context-Likelihood Graphs and Graph Refinement
• Multi-Object Discovery by Low-Dimensional Object Motion
• MOST: Multiple Object Localization with Self-Supervised Transformers for Object Discovery
• Label-Efficient Online Continual Object Detection in Streaming Video
• Spurious Features Everywhere - Large-Scale Detection of Harmful Spurious Features in ImageNet
• SparseDet: Improving Sparsely Annotated Object Detection with Pseudo-positive Mining
• RecursiveDet: End-to-End Region-Based Recursive Object Detection
• StageInteractor: Query-based Object Detector with Cross-stage Interaction
• Anchor-Intermediate Detector: Decoupling and Coupling Bounding Boxes for Accurate Object Detection
• Uncertainty-guided Learning for Improving Image Manipulation Detection
• From Chaos Comes Order: Ordering Event Representations for Object Recognition and Detection
• Integrally Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection
• Unleashing Vanilla Vision Transformer with Masked Image Modeling for Object Detection
• FemtoDet: An Object Detection Baseline for Energy Versus Performance Tradeoffs
• Periodically Exchange Teacher-Student for Source-Free Object Detection
• Parametric Depth Based Feature Representation Learning for Object Detection and Segmentation in Bird's-Eye View
• CoTDet: Affordance Knowledge Prompting for Task Driven Object Detection
• A Dynamic Dual-Processing Object Detection Framework Inspired by the Brain's Recognition Mechanism
• ASAG: Building Strong One-Decoder-Layer Sparse Detectors via Adaptive Sparse Anchor Generation
  :star:code
• FeatEnHancer: Enhancing Hierarchical Features for Object Detection and Beyond Under Low-Light Vision
• FB-BEV: BEV Representation from Forward-Backward View Transformations
  :star:code
• DETR Doesn't Need Multi-Scale or Locality Design
  :star:code
• RecursiveDet: End-to-End Region-based Recursive Object Detection
  :star:code
• Less is More: Focus Attention for Efficient DETR
  :star:code
  :house:project
• Spatial Self-Distillation for Object Detection with Inaccurate Bounding Boxes
  :star:code
• AlignDet: Aligning Pre-training and Fine-tuning in Object Detection
  :star:code
• Augmented Box Replay: Overcoming Foreground Shift for Incremental Object Detection
• Deep Directly-Trained Spiking Neural Networks for Object Detection
• Cascade-DETR: Delving into High-Quality Universal Object Detection
  :star:code
• Object-aware Gaze Target Detection
  :star:code
• FS-DETR: Few-Shot DEtection TRansformer with Prompting and without Re-Training
• Adaptive Rotated Convolution for Rotated Object Detection
• UniKD: Universal Knowledge Distillation for Mimicking Homogeneous or Heterogeneous Object Detectors
• 3D OD
  • PG-RCNN: Semantic Surface Point Generation for 3D Object Detection
    :star:code
  • Efficient Transformer-based 3D Object Detection with Dynamic Token Halting
  • Temporal Enhanced Training of Multi-view 3D Object Detector via Historical Object Prediction
  • DQS3D: Densely-matched Quantization-aware Semi-supervised 3D Detection
  • Towards Universal LiDAR-Based 3D Object Detection by Multi-Domain Knowledge Transfer
  • Towards Fair and Comprehensive Comparisons for Image-Based 3D Object Detection
  • DPF-Net: Combining Explicit Shape Priors in Deformable Primitive Field for Unsupervised Structural Reconstruction of 3D Objects
  • FocalFormer3D: Focusing on Hard Instance for 3D Object Detection
  • GACE: Geometry Aware Confidence Enhancement for Black-Box 3D Object Detectors on LiDAR-Data
  • Not Every Side Is Equal: Localization Uncertainty Estimation for Semi-Supervised 3D Object Detection
  • Once Detected, Never Lost: Surpassing Human Performance in Offline LiDAR based 3D Object Detection
  • Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection
  • Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling
  • Clusterformer: Cluster-based Transformer for 3D Object Detection in Point Clouds
  • Object as Query: Lifting Any 2D Object Detector to 3D Detection
  • MetaBEV: Solving Sensor Failures for 3D Detection and Map Segmentation
  • SupFusion: Supervised LiDAR-Camera Fusion for 3D Object Detection
  • UpCycling: Semi-supervised 3D Object Detection without Sharing Raw-level Unlabeled Scenes
  • Pixel-Aligned Recurrent Queries for Multi-View 3D Object Detection
  • Monocular 3D Object Detection with Bounding Box Denoising in 3D by Perceiver
  • MonoNeRD: NeRF-like Representations for Monocular 3D Object Detection
  • MonoDETR: Depth-guided Transformer for Monocular 3D Object Detection
  • Learning from Noisy Data for Semi-Supervised 3D Object Detection
  • DetZero: Rethinking Offboard 3D Object Detection with Long-term Sequential Point Clouds
  • SparseFusion: Fusing Multi-Modal Sparse Representations for Multi-Sensor 3D Object Detection
  • SA-BEV: Generating Semantic-Aware Bird's-Eye-View Feature for Multi-view 3D Object Detection
  • KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection
  • ObjectFusion: Multi-modal 3D Object Detection with Object-Centric Fusion
  • Predict to Detect: Prediction-guided 3D Object Detection using Sequential Images
  • A Simple Vision Transformer for Weakly Semi-supervised 3D Object Detection
  • A Fast Unified System for 3D Object Detection and Tracking
  • 3DPPE: 3D Point Positional Encoding for Transformer-based Multi-Camera 3D Object Detection
  • PARTNER: Level up the Polar Representation for LiDAR 3D Object Detection
  • SHIFT3D: Synthesizing Hard Inputs For Tricking 3D Detectors
  • ImGeoNet: Image-induced Geometry-aware Voxel Representation for Multi-view 3D Object Detection
    :star:code
  • MonoNeRD: NeRF-like Representations for Monocular 3D Object Detection
    :star:code
  • SparseBEV: High-Performance Sparse 3D Object Detection from Multi-Camera Videos
    :star:code
  • QD-BEV : Quantization-aware View-guided Distillation for Multi-view 3D Object Detection
  • Representation Disparity-aware Distillation for 3D Object Detection
  • GPA-3D: Geometry-aware Prototype Alignment for Unsupervised Domain Adaptive 3D Object Detection from Point Clouds
    :star:code
  • FocalFormer3D : Focusing on Hard Instance for 3D Object Detection
    :star:code
  • NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection
    :star:code
  • Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection
    :star:code
  • Cross Modal Transformer: Towards Fast and Robust 3D Object Detection
    :star:code
  • CoIn: Contrastive Instance Feature Mining for Outdoor 3D Object Detection with Very Limited Annotations
  • GraphAlign: Enhancing Accurate Feature Alignment by Graph matching for Multi-Modal 3D Object Detection
• 文本驱动的目标检测
  • Unsupervised Prompt Tuning for Text-Driven Object Detection
• 开放词汇目标检测
  • EdaDet: Open-Vocabulary Object Detection Using Early Dense Alignment
    :star:code
  • Open-Vocabulary Object Detection With an Open Corpus
  • Distilling DETR with Visual-Linguistic Knowledge for Open-Vocabulary Object Detection
• 开放世界目标检测
  • Random Boxes Are Open-world Object Detectors
• 端到端目标检测
  • Decoupled DETR: Spatially Disentangling Localization and Classification for Improved End-to-End Object Detection
• 域适应目标检测
  • Masked Retraining Teacher-Student Framework for Domain Adaptive Object Detection
  • CSDA: Learning Category-Scale Joint Feature for Domain Adaptive Object Detection
• 自监督目标检测
  • Self-Supervised Object Detection from Egocentric Videos
• 弱监督目标检测
  • ALWOD: Active Learning for Weakly-Supervised Object Detection
    :star:code
  • Cyclic-Bootstrap Labeling for Weakly Supervised Object Detection
• 半监督目标检测
• Gradient-based Sampling for Class Imbalanced Semi-supervised Object Detection
• 小样本目标检测
  • s-Adaptive Decoupled Prototype for Few-Shot Object Detection
• 密集目标检测
  • Bridging Cross-task Protocol Inconsistency for Distillation in Dense Object Detection
    :star:code
• 视频目标检测
  • Objects do not disappear: Video object detection by single-frame object location anticipation
    :star:code
  • Identity-Consistent Aggregation for Video Object Detection
• 长尾目标检测
  • Boosting Long-tailed Object Detection via Step-wise Learning on Smooth-tail Data
  • Reconciling Object-Level and Global-Level Objectives for Long-Tail Detection
• 开集目标检测
  • Novel Scenes & Classes: Towards Adaptive Open-set Object Detection
• 小目标检测
  • Small Object Detection via Coarse-to-fine Proposal Generation and Imitation Learning
    :star:code
  • Monte Carlo Linear Clustering with Single-Point Supervision is Enough for Infrared Small Target Detection
• 目标定位
  • 3D OL
    • EgoLoc: Revisiting 3D Object Localization from Egocentric Videos with Visual Queries
  • 无监督目标定位
    • Unsupervised Object Localization with Representer Point Selection
  • 弱监督目标定位
    • Category-aware Allocation Transformer for Weakly Supervised Object Localization
    • Generative Prompt Model for Weakly Supervised Object Localization
      :star:code
    • Spatial-Aware Token for Weakly Supervised Object Localization
  • 开放词汇目标定位
    • Unsupervised Open-Vocabulary Object Localization in Videos
• 影子检测
  • SILT: Shadow-aware Iterative Label Tuning for Learning to Detect Shadows from Noisy Labels
  • Adaptive Illumination Mapping for Shadow Detection in Raw Images
• 镜子检查
  • Self-supervised Pre-training for Mirror Detection

2.3D(三维重建\三维视觉)

• ATT3D: Amortized Text-to-3D Object Synthesis
• Zero-1-to-3: Zero-shot One Image to 3D Object
• Robo3D: Towards Robust and Reliable 3D Perception against Corruptions
• AG3D: Learning to Generate 3D Avatars from 2D Image Collections
• Semantify: Simplifying the Control of 3D Morphable Models Using CLIP
• Vox-E: Text-Guided Voxel Editing of 3D Objects
• PlaneRecTR: Unified Query Learning for 3D Plane Recovery from a Single View
• Tiled Multiplane Images for Practical 3D Photography
• Learned Compressive Representations for Single-Photon 3D Imaging
• CVRecon: Rethinking 3D Geometric Feature Learning For Neural Reconstruction
• DeFormer: Integrating Transformers with Deformable Models for 3D Shape Abstraction from a Single Image
• HoloFusion: Towards Photo-realistic 3D Generative Modeling
  :star:code
• PlaneRecTR: Unified Query learning for 3D Plane Recovery from a Single View
  :house:project
  :star:code
• OmnimatteRF: Robust Omnimatte with 3D Background Modeling
  :star:code
• Learning Versatile 3D Shape Generation with Improved Auto-regressive Models
• GeoMIM: Towards Better 3D Knowledge Transfer via Masked Image Modeling for Multi-view 3D Understanding
• 3D-VisTA: Pre-trained Transformer for 3D Vision and Text Alignment
• 三维重建
  • Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image
    :star:code
  • Batch-based Model Registration for Fast 3D Sherd Reconstruction
  • UMIFormer: Mining the Correlations between Similar Tokens for Multi-View 3D Reconstruction
  • Theoretical and Numerical Analysis of 3D Reconstruction Using Point and Line Incidences
  • FineRecon: Depth-aware Feed-forward Network for Detailed 3D Reconstruction
  • LIST: Learning Implicitly from Spatial Transformers for Single-View 3D Reconstruction
  • Neural-PBIR Reconstruction of Shape, Material, and Illumination
  • Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction
  • LivePose: Online 3D Reconstruction from Monocular Video with Dynamic Camera Poses
  • Long-Range Grouping Transformer for Multi-View 3D Reconstruction
    :star:code
  • Doppelgangers: Learning to Disambiguate Images of Similar Structures
    :star:code
  • Deformable Model-Driven Neural Rendering for High-Fidelity 3D Reconstruction of Human Heads Under Low-View Settings
  • Iterative Superquadric Recomposition of 3D Objects from Multiple Views
    :star:code
  • CHORUS: Learning Canonicalized 3D Human-Object Spatial Relations from Unbounded Synthesized Images
    :star:code
  • PlankAssembly: Robust 3D Reconstruction from Three Orthographic Views with Learnt Shape Programs
    :star:code
  • Coordinate Quantized Neural Implicit Representations for Multi-view Reconstruction
    :star:code
  • Root Pose Decomposition Towards Generic Non-rigid 3D Reconstruction with Monocular Videos
    :star:code
  • R3D3: Dense 3D Reconstruction of Dynamic Scenes from Multiple Cameras
    :house:project
  • 三维场景重建
    • FrozenRecon: Pose-free 3D Scene Reconstruction with Frozen Depth Models
      :star:code
    • Spacetime Surface Regularization for Neural Dynamic Scene Reconstruction
    • Geometry-guided Feature Learning and Fusion for Indoor Scene Reconstruction
    • SceneRF: Self-Supervised Monocular 3D Scene Reconstruction with Radiance Fields
    • DG-Recon: Depth-Guided Neural 3D Scene Reconstruction
    • Uni-3D: A Universal Model for Panoptic 3D Scene Reconstruction
• 深度估计
  • MAMo: Leveraging Memory and Attention for Monocular Video Depth Estimation
  • Out-of-Distribution Detection for Monocular Depth Estimation
  • Improving Equivariance in State-of-the-Art Supervised Depth and Normal Predictors
  • Two-in-One Depth: Bridging the Gap Between Monocular and Binocular Self-Supervised Depth Estimation
  • Single Depth-image 3D Reflection Symmetry and Shape Prediction
  • SlaBins: Fisheye Depth Estimation using Slanted Bins on Road Environments
  • 3D Distillation: Improving Self-Supervised Monocular Depth Estimation on Reflective Surfaces
  • EGformer: Equirectangular Geometry-biased Transformer for 360 Depth Estimation
  • DPS-Net: Deep Polarimetric Stereo Depth Estimation
  • Robust Geometry-Preserving Depth Estimation Using Differentiable Rendering
  • Towards Zero-Shot Scale-Aware Monocular Depth Estimation
  • Indoor Depth Recovery Based on Deep Unfolding with Non-Local Prior
  • GasMono: Geometry-Aided Self-Supervised Monocular Depth Estimation for Indoor Scenes
  • NDDepth: Normal-Distance Assisted Monocular Depth Estimation
  • V-FUSE: Volumetric Depth Map Fusion with Long-Range Constraints
  • Robust Monocular Depth Estimation under Challenging Conditions
    :star:code
  • Self-Supervised Monocular Depth Estimation by Direction-aware Cumulative Convolution Network
  • Self-supervised Monocular Depth Estimation: Let's Talk About The Weather
  • Calibrating Panoramic Depth Estimation for Practical Localization and Mapping
  • Two-in-One Depth: Bridging the Gap Between Monocular and Binocular Self-supervised Depth Estimation
    :star:code
  • Robust Geometry-Preserving Depth Estimation Using Differentiable Rendering
  • GEDepth: Ground Embedding for Monocular Depth Estimation
• 深度补全
  • AGG-Net: Attention Guided Gated-convolutional Network for Depth Image Completion
  • AGG-Net: Attention Guided Gated-Convolutional Network for Depth Image Completion
  • LRRU: Long-short Range Recurrent Updating Networks for Depth Completion
  • Aggregating Feature Point Cloud for Depth Completion
• Stereo Matching
  • Uncertainty Guided Adaptive Warping for Robust and Efficient Stereo Matching
  • Learning Depth Estimation for Transparent and Mirror Surfaces
    :star:code
  • ELFNet: Evidential Local-global Fusion for Stereo Matching
    :star:code
  • Parameterized Cost Volume for Stereo Matching
• 三维生成
  • 3D形状生成
    • Learning Versatile 3D Shape Generation with Improved AR Models
  • 文本-3D生成
    • DreamBooth3D: Subject-Driven Text-to-3D Generation
• MVS
  • Hierarchical Prior Mining for Non-local Multi-View Stereo
  • MVPSNet: Fast Generalizable Multi-view Photometric Stereo
  • S-VolSDF: Sparse Multi-View Stereo Regularization of Neural Implicit Surfaces
  • When Epipolar Constraint Meets Non-Local Operators in Multi-View Stereo
  • Constraining Depth Map Geometry for Multi-View Stereo: A Dual-Depth Approach with Saddle-shaped Depth Cells
• 表面重建
  • Structure-Aware Surface Reconstruction via Primitive Assembly
  • C2F2NeUS: Cascade Cost Frustum Fusion for High Fidelity and Generalizable Neural Surface Reconstruction
  • NeuS2: Fast Learning of Neural Implicit Surfaces for Multi-view Reconstruction
  • Ref-NeuS: Ambiguity-Reduced Neural Implicit Surface Learning for Multi-View Reconstruction with Reflection

1.其它(others)

• Poincare ResNet
• Muscles in Action
• Scene as Occupancy
• Diffusion in Style
• Attentive Mask CLIP
• Dataset Quantization
• Dynamic Point Fields
• Teaching CLIP to Count to Ten
• SiLK: Simple Learned Keypoints
• Audiovisual Masked Autoencoders
• Generalized Differentiable RANSAC
• Neural Implicit Surface Evolution
• Gender Artifacts in Visual Datasets
• Towards Models that Can See and Read
• Convex Decomposition of Indoor Scenes
• Viewing Graph Solvability in Practice
• Navigating to Objects Specified by Images
• InfiniCity: Infinite-Scale City Synthesis
• Quality Diversity for Visual Pre-Training
• Incremental Generalized Category Discovery
• Towards Multi-Layered 3D Garments Animation
• XiNet: Efficient Neural Networks for tinyML
• Simulating Fluids in Real-World Still Images
• Bayesian Optimization Meets Self-Distillation
• Sentence Attention Blocks for Answer Grounding
• Do DALL-E and Flamingo Understand Each Other?
• Computational 3D Imaging with Position Sensors
• Landscape Learning for Neural Network Inversion
• ClusT3: Information Invariant Test-Time Training
• DETR Does Not Need Multi-Scale or Locality Design
• Multi-Directional Subspace Editing in Style-Space
• Re-ReND: Real-Time Rendering of NeRFs across Devices
• Curvature-Aware Training for Coordinate Networks
• Document Understanding Dataset and Evaluation (DUDE)
• SparseMAE: Sparse Training Meets Masked Autoencoders
• Mesh2Tex: Generating Mesh Textures from Image Queries
• Rosetta Neurons: Mining the Common Units in a Model Zoo
• General Planar Motion from a Pair of 3D Correspondences
• Adaptive Reordering Sampler with Neurally Guided MAGSAC
• Transparent Shape from a Single View Polarization Image
• Leaping Into Memories: Space-Time Deep Feature Synthesis
• Label-Noise Learning with Intrinsically Long-Tailed Data
• 3D VR Sketch Guided 3D Shape Prototyping and Exploration
• Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning
• CAD-Estate: Large-scale CAD Model Annotation in RGB Videos
• Role-Aware Interaction Generation from Textual Description
• DFA3D: 3D Deformable Attention For 2D-to-3D Feature Lifting
• BT^2: Backward-compatible Training with Basis Transformation
• Grounding 3D Object Affordance from 2D Interactions in Images
• FBLNet: FeedBack Loop Network for Driver Attention Prediction
• INSTA-BNN: Binary Neural Network with INSTAnce-aware Threshold
• Towards Geospatial Foundation Models via Continual Pretraining
• Deep Incubation: Training Large Models by Divide-and-Conquering
• Learning to Learn: How to Continuously Teach Humans and Machines
• Efficient Neural Supersampling on a Novel Gaming Dataset
• PPR: Physically Plausible Reconstruction from Monocular Videos
• SpinCam: High-Speed Imaging via a Rotating Point-Spread Function
• Lens Parameter Estimation for Realistic Depth of Field Modeling
• BANSAC: A Dynamic BAyesian Network for Adaptive SAmple Consensus
• What Can Simple Arithmetic Operations Do for Temporal Modeling?
• Sample4Geo: Hard Negative Sampling For Cross-View Geo-Localisation
• Cross-view Semantic Alignment for Livestreaming Product Recognition
• Geometric Viewpoint Learning with Hyper-Rays and Harmonics Encoding
• E^2VPT: An Effective and Efficient Approach for Visual Prompt Tuning
• Segmenting Known Objects and Unseen Unknowns without Prior Knowledge
• Learning Fine-Grained Features for Pixel-Wise Video Correspondences
• Graphics2RAW: Mapping Computer Graphics Images to Sensor RAW Images
• LoCUS: Learning Multiscale 3D-consistent Features from Posed Images
• DreamTeacher: Pretraining Image Backbones with Deep Generative Models
• Parametric Information Maximization for Generalized Category Discovery
• Sat2Density: Faithful Density Learning from Satellite-Ground Image Pairs
• Neural Collage Transfer: Artistic Reconstruction via Material Manipulation
• Adaptive Spiral Layers for Efficient 3D Representation Learning on Meshes
• Tiny Updater: Towards Efficient Neural Network-Driven Software Updating
• Efficient Unified Demosaicing for Bayer and Non-Bayer Patterned Image Sensors
• Multi-Object Navigation with Dynamically Learned Neural Implicit Representations
• Is Imitation All You Need? Generalized Decision-Making with Dual-Phase Training
• Not All Features Matter: Enhancing Few-shot CLIP with Adaptive Prior Refinement
• Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples
• Improving Representation Learning for Histopathologic Images with Cluster Constraints
• UMC: A Unified Bandwidth-efficient and Multi-resolution based Collaborative Perception Framework
• Generalizing Neural Human Fitting to Unseen Poses With Articulated SE(3) Equivariance
• Rapid Network Adaptation: Learning to Adapt Neural Networks Using Test-Time Feedback
• A Skeletonization Algorithm for Gradient-Based Optimization
• Joint Implicit Neural Representation for High-fidelity and Compact Vector Fonts
• EfficientTrain: Exploring Generalized Curriculum Learning for Training Visual Backbones
• Mitigating and Evaluating Static Bias of Action Representations in the Background and the Foreground
• Probabilistic Precision and Recall Towards Reliable Evaluation of Generative Models
• S-TREK: Sequential Translation and Rotation Equivariant Keypoints for Local Feature Extraction
• Manipulate by Seeing: Creating Manipulation Controllers from Pre-Trained Representations
• SAFARI: Versatile and Efficient Evaluations for Robustness of Interpretability
• Evaluation and Improvement of Interpretability for Self-Explainable Part-Prototype Networks
• Combating Noisy Labels with Sample Selection by Mining High-Discrepancy Examples
• Among Us: Adversarially Robust Collaborative Perception by Consensus
• Strip-MLP: Efficient Token Interaction for Vision MLP
• MAGI: Multi-Annotated Explanation-Guided Learning
• NeTO:Neural Reconstruction of Transparent Objects with Self-Occlusion Aware Refraction-Tracing
• Video Adverse-Weather-Component Suppression Network via Weather Messenger and Adversarial Backpropagation
• Learning Foresightful Dense Visual Affordance for Deformable Object Manipulation
• A 5-Point Minimal Solver for Event Camera Relative Motion Estimation
• Sample-wise Label Confidence Incorporation for Learning with Noisy Labels
• Inducing Neural Collapse to a Fixed Hierarchy-Aware Frame for Reducing Mistake Severity
• Global Perception Based Autoregressive Neural Processes
• Counterfactual-based Saliency Map: Towards Visual Contrastive Explanations for Neural Networks
• Prompt-aligned Gradient for Prompt Tuning
• Recovering a Molecule's 3D Dynamics from Liquid-phase Electron Microscopy Movies
• Overwriting Pretrained Bias with Finetuning Data
• DataDAM: Efficient Dataset Distillation with Attention Matching
• MatrixVT: Efficient Multi-Camera to BEV Transformation for 3D Perception
• UMFuse: Unified Multi View Fusion for Human Editing Applications
• Semantic-Aware Implicit Template Learning via Part Deformation Consistency
• Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement
• When Noisy Labels Meet Long Tail Dilemmas: A Representation Calibration Method
• FCCNs: Fully Complex-valued Convolutional Networks using Complex-valued Color Model and Loss Function
• Name Your Colour For the Task: Artificially Discover Colour Naming via Colour Quantisation Transformer
• NeSS-ST: Detecting Good and Stable Keypoints with a Neural Stability Score and the Shi-Tomasi detector
• Search for or Navigate to? Dual Adaptive Thinking for Object Navigation
• Real-Time Neural Rasterization for Large Scenes
• A Game of Bundle Adjustment - Learning Efficient Convergence
• Fast Globally Optimal Surface Normal Estimation from an Affine Correspondence
• Fast and Accurate Transferability Measurement by Evaluating Intra-class Feature Variance
• Model Calibration in Dense Classification with Adaptive Label Perturbation
• Improving CLIP Fine-tuning Performance
• TiDy-PSFs: Computational Imaging with Time-Averaged Dynamic Point-Spread-Functions
• Ordinal Label Distribution Learning
• Why do networks have inhibitory/negative connections?
• Pyramid Dual Domain Injection Network for Pan-sharpening
• MULLER: Multilayer Laplacian Resizer for Vision
• Privacy Preserving Localization via Coordinate Permutations
• All in Tokens: Unifying Output Space of Visual Tasks via Soft Token
• Pretrained Language Models as Visual Planners for Human Assistance
• Concept-wise Fine-tuning Matters in Preventing Negative Transfer
• Essential Matrix Estimation using Convex Relaxations in Orthogonal Space
• IIEU: Rethinking Neural Feature Activation from Decision-Making
• A Unified Framework for Robustness on Diverse Sampling Errors
• VQ3D: Learning a 3D-Aware Generative Model on ImageNet
• Learning to Ground Instructional Articles in Videos through Narrations
• Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep Ensembles are More Efficient than Single Models
• Multimodal Optimal Transport-based Co-Attention Transformer with Global Structure Consistency for Survival Prediction
• PADDLES: Phase-Amplitude Spectrum Disentangled Early Stopping for Learning with Noisy Labels
• ICL-D3IE: In-Context Learning with Diverse Demonstrations Updating for Document Information Extraction
• Translating Images to Road Network: A Non-Autoregressive Sequence-to-Sequence Approach
• CHAMPAGNE: Learning Real-world Conversation from Large-Scale Web Videos
• AssetField: Assets Mining and Reconfiguration in Ground Feature Plane Representation
• NLOS-NeuS: Non-line-of-sight Neural Implicit Surface
• XVO: Generalized Visual Odometry via Cross-Modal Self-Training
• ASIC: Aligning Sparse in-the-wild Image Collections
• PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning
• DEDRIFT: Robust Similarity Search under Content Drift
• MATE: Masked Autoencoders are Online 3D Test-Time Learners
• SYENet: A Simple Yet Effective Network for Multiple Low-Level Vision Tasks with Real-Time Performance on Mobile Device
• Misalign, Contrast then Distill: Rethinking Misalignments in Language-Image Pre-training
• Domain Specified Optimization for Deployment Authorization
• PRANC: Pseudo RAndom Networks for Compacting Deep Models
• Neural Haircut: Prior-Guided Strand-Based Hair Reconstruction
• NaviNeRF: NeRF-based 3D Representation Disentanglement by Latent Semantic Navigation
• Building Bridge Across the Time: Disruption and Restoration of Murals In the Wild
• MoreauGrad: Sparse and Robust Interpretation of Neural Networks via Moreau Envelope
• One-shot Implicit Animatable Avatars with Model-based Priors
  :thumbsup:基于模型先验的隐式可动数字人单样本学习
• RecRecNet: Rectangling Rectified Wide-Angle Images by Thin-Plate Spline Model and DoF-based Curriculum Learning
• Luminance-aware Color Transform for Multiple Exposure Correction
• Segment Every Reference Object in Spatial and Temporal Spaces
• RankMatch: Fostering Confidence and Consistency in Learning with Noisy Labels
• Hiding Visual Information via Obfuscating Adversarial Perturbations
• SHACIRA: Scalable HAsh-grid Compression for Implicit Neural Representations
• VoroMesh: Learning Watertight Surface Meshes with Voronoi Diagrams
• UniDexGrasp++: Improving Dexterous Grasping Policy Learning via Geometry-Aware Curriculum and Iterative Generalist-Specialist Learning
• Will Large-scale Generative Models Corrupt Future Datasets?
• DREAM: Efficient Dataset Distillation by Representative Matching
• Inverse Compositional Learning for Weakly-supervised Relation Grounding
• Adaptive Similarity Bootstrapping for Self-Distillation Based Representation Learning
• ParCNetV2: Oversized Kernel with Enhanced Attention
• Efficiently Robustify Pre-Trained Models
• DIME-FM : DIstilling Multimodal and Efficient Foundation Models
• Overcoming Forgetting Catastrophe in Quantization-Aware Training
• Adverse Weather Removal with Codebook Priors
• MAP: Towards Balanced Generalization of IID and OOD through Model-Agnostic Adapters
• Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions
• COOL-CHIC: Coordinate-based Low Complexity Hierarchical Image Codec
• Chop & Learn: Recognizing and Generating Object-State Compositions
• CORE: Cooperative Reconstruction for Multi-Agent Perception
• Gramian Attention Heads are Strong yet Efficient Vision Learners
• Improving Zero-Shot Generalization for CLIP with Synthesized Prompts
• E3Sym: Leveraging E(3) Invariance for Unsupervised 3D Planar Reflective Symmetry Detection
• Towards Improved Input Masking for Convolutional Neural Networks
• SIGMA: Scale-Invariant Global Sparse Shape Matching
• Pluralistic Aging Diffusion Autoencoder
• PEANUT: Predicting and Navigating to Unseen Targets
• ModelGiF: Gradient Fields for Model Functional Distance
• Robust Evaluation of Diffusion-Based Adversarial Purification
• R-Pred: Two-Stage Motion Prediction Via Tube-Query Attention-Based Trajectory Refinement
• DynamicISP: Dynamically Controlled Image Signal Processor for Image Recognition
• AutoReP: Automatic ReLU Replacement for Fast Private Network Inference
• Candidate-aware Selective Disambiguation Based On Normalized Entropy for Instance-dependent Partial-label Learning
• Distributed Bundle Adjustment with Block-Based Sparse Matrix Compression for Super Large Scale Datasets
• COPILOT: Human-Environment Collision Prediction and Localization from Egocentric Videos
• Convolutional Networks with Oriented 1D Kernels
• SurfsUP: Learning Fluid Simulation for Novel Surfaces
• How Far Pre-trained Models Are from Neural Collapse on the Target Dataset Informs their Transferability
• SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 Inference
• Designing Phase Masks for Under-Display Cameras
• GePSAn: Generative Procedure Step Anticipation in Cooking Videos
• Online Clustered Codebook
• Source-free Depth for Object Pop-out
• Cross-Modal Translation and Alignment for Survival Analysis
• Partition Speeds Up Learning Implicit Neural Representations Based on Exponential-Increase Hypothesis
• Towards High-Quality Specular Highlight Removal by Leveraging Large-Scale Synthetic Data
• Corrupting Neuron Explanations of Deep Visual Features
• Editable Image Geometric Abstraction via Neural Primitive Assembly
• DETRs with Collaborative Hybrid Assignments Training
• D3G: Exploring Gaussian Prior for Temporal Sentence Grounding with Glance Annotation
• OccFormer: Dual-path Transformer for Vision-based 3D Semantic Occupancy Prediction
• Group DETR: Fast DETR Training with Group-Wise One-to-Many Assignment
• LightGlue: Local Feature Matching at Light Speed
• Minimal Solutions to Generalized Three-View Relative Pose Problem
• RICO: Regularizing the Unobservable for Indoor Compositional Reconstruction
• Tangent Sampson Error: Fast Approximate Two-view Reprojection Error for Central Camera Models
• DCPB: Deformable Convolution Based on the Poincare Ball for Top-view Fisheye Cameras
• Improving Lens Flare Removal with General-Purpose Pipeline and Multiple Light Sources Recovery
• CAFA: Class-Aware Feature Alignment for Test-Time Adaptation
• EverLight: Indoor-Outdoor Editable HDR Lighting Estimation
• Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning
• Self-regulating Prompts: Foundational Model Adaptation without Forgetting
• MotionDeltaCNN: Sparse CNN Inference of Frame Differences in Moving Camera Videos with Spherical Buffers and Padded Convolutions
• CRN: Camera Radar Net for Accurate, Robust, Efficient 3D Perception
• Efficient Diffusion Training via Min-SNR Weighting Strategy
• Shape Analysis of Euclidean Curves under Frenet-Serret Framework
• Learning Shape Primitives via Implicit Convexity Regularization
• Exploring the Sim2Real Gap Using Digital Twins
• Compatibility of Fundamental Matrices for Complete Viewing Graphs
• Chordal Averaging on Flag Manifolds and Its Applications
• ContactGen: Generative Contact Modeling for Grasp Generation
• Parametric Classification for Generalized Category Discovery: A Baseline Study
• SeiT: Storage-Efficient Vision Training with Tokens Using 1% of Pixel Storage
• Not All Steps are Created Equal: Selective Diffusion Distillation for Image Manipulation
• ENVIDR: Implicit Differentiable Renderer with Neural Environment Lighting
• Foreground-Background Separation through Concept Distillation from Generative Image Foundation Models
• Beyond Single Path Integrated Gradients for Reliable Input Attribution via Randomized Path Sampling
• CaPhy: Capturing Physical Properties for Animatable Human Avatars
• RLIPv2: Fast Scaling of Relational Language-Image Pre-Training
• ICE-NeRF: Interactive Color Editing of NeRFs via Decomposition-Aware Weight Optimization
• Toward Multi-Granularity Decision-Making: Explicit Visual Reasoning with Hierarchical Knowledge
• Breaking The Limits of Text-conditioned 3D Motion Synthesis with Elaborative Descriptions
• AutoAD II: The Sequel - Who, When, and What in Movie Audio Description
• Bring Clipart to Life
• Few-Shot Dataset Distillation via Translative Pre-Training
• Controllable Visual-Tactile Synthesis
• MolGrapher: Graph-based Visual Recognition of Chemical Structures
• The Effectiveness of MAE Pre-Pretraining for Billion-Scale Pretraining
• Towards Zero Domain Gap: A Comprehensive Study of Realistic LiDAR Simulation for Autonomy Testing
• Learning Hierarchical Features with Joint Latent Space Energy-Based Prior
• Regularized Primitive Graph Learning for Unified Vector Mapping
• Saliency Regularization for Self-Training with Partial Annotations
• Ord2Seq: Regarding Ordinal Regression as Label Sequence Prediction
• ViM: Vision Middleware for Unified Downstream Transferring
• RANA: Relightable Articulated Neural Avatars
• Surface Extraction from Neural Unsigned Distance Fields
• Towards Nonlinear-Motion-Aware and Occlusion-Robust Rolling Shutter Correction
• Perpetual Humanoid Control for Real-time Simulated Avatars
• Efficient Deep Space Filling Curve
• Pixel-Wise Contrastive Distillation
• FACTS: First Amplify Correlations and Then Slice to Discover Bias
• Pairwise Similarity Learning is SimPLE
• PanFlowNet: A Flow-Based Deep Network for Pan-Sharpening
• Visual Explanations via Iterated Integrated Attributions
• Make-It-3D: High-fidelity 3D Creation from A Single Image with Diffusion Prior
• Fully Attentional Networks with Self-emerging Token Labeling
• DMNet: Delaunay Meshing Network for 3D Shape Representation
• Eulerian Single-Photon Vision
• Adaptive Calibrator Ensemble: Navigating Test Set Difficulty in Out-of-Distribution Scenarios
• Sequential Texts Driven Cohesive Motions Synthesis with Natural Transitions
• Locomotion-Action-Manipulation: Synthesizing Human-Scene Interactions in Complex 3D Environments
• Human Preference Score: Better Aligning Text-to-Image Models with Human Preference
• D-IF: Uncertainty-aware Human Digitization via Implicit Distribution Field
• P1AC: Revisiting Absolute Pose From a Single Affine Correspondence
• Mining bias-target Alignment from Voronoi Cells
• Exploring the Benefits of Visual Prompting in Differential Privacy
• The Victim and The Beneficiary: Exploiting a Poisoned Model to Train a Clean Model on Poisoned Data
• End2End Multi-View Feature Matching with Differentiable Pose Optimization
• Task Agnostic Restoration of Natural Video Dynamics
• GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning
• Scene Graph Contrastive Learning for Embodied Navigation
• Mastering Spatial Graph Prediction of Road Networks
• ETran: Energy-Based Transferability Estimation
• Inverse Problem Regularization with Hierarchical Variational Autoencoders
• A2Q: Accumulator-Aware Quantization with Guaranteed Overflow Avoidance
• Learning a Room with the Occ-SDF Hybrid: Signed Distance Function Mingled with Occupancy Aids Scene Representation
• Context-Aware Planning and Environment-Aware Memory for Instruction Following Embodied Agents
• Minimal Solutions to Uncalibrated Two-view Geometry with Known Epipoles
• Deep Geometry-Aware Camera Self-Calibration from Video
• Feature Proliferation -- the "Cancer" in StyleGAN and its Treatments
• Adaptive Testing of Computer Vision Models
• Semantic Attention Flow Fields for Monocular Dynamic Scene Decomposition
• Unmasked Teacher: Towards Training-Efficient Video Foundation Models
• Time-to-Contact Map by Joint Estimation of Up-to-Scale Inverse Depth and Global Motion using a Single Event Camera
• Cross-modal Latent Space Alignment for Image to Avatar Translation
• Partition-And-Debias: Agnostic Biases Mitigation via a Mixture of Biases-Specific Experts
• Learning to Transform for Generalizable Instance-wise Invariance
• DeePoint: Visual Pointing Recognition and Direction Estimation
• Sigmoid Loss for Language Image Pre-Training
• Tracking by 3D Model Estimation of Unknown Objects in Videos
• Physically-Plausible Illumination Distribution Estimation
• Exploiting Proximity-Aware Tasks for Embodied Social Navigation
• SkeletonMAE: Graph-based Masked Autoencoder for Skeleton Sequence Pre-training
• Studying How to Efficiently and Effectively Guide Models with Explanations
• NeuRBF: A Neural Fields Representation with Adaptive Radial Basis Functions
  :star:code
• DECO: Dense Estimation of 3D Human-Scene Contact In The Wild
  :house:project
• PHRIT: Parametric Hand Representation with Implicit Template
• Improving Unsupervised Visual Program Inference with Code Rewriting Families
  :star:code
• Generating Visual Scenes from Touch
  :star:code
• LOGICSEG: Parsing Visual Semantics with Neural Logic Learning and Reasoning
  :star:code
• Automatic Animation of Hair Blowing in Still Portrait Photos
  :star:code
• Cross-Modal Translation and Alignment for Survival Analysis
• Contrastive Pseudo Learning for Open-World DeepFake Attribution
• Dense 2D-3D Indoor Prediction with Sound via Aligned Cross-Modal Distillation
• Segmentation of Tubular Structures Using Iterative Training with Tailored Samples
• Active Stereo Without Pattern Projector
  :star:code
  :star:code
• TinyCLIP: CLIP Distillation via Affinity Mimicking and Weight Inheritance
  :house:project
• BANSAC: A dynamic BAyesian Network for adaptive SAmple Consensus
• Tree-Structured Shading Decomposition
  :house:project
• Keep It SimPool: Who Said Supervised Transformers Suffer from Attention Deficit?
  :star:code
• Beyond Skin Tone: A Multidimensional Measure of Apparent Skin Color
• Multi3DRefer: Grounding Text Description to Multiple 3D Objects
• Panoramas from Photons
  :house:project
• SimNP: Learning Self-Similarity Priors Between Neural Points
• Multi-label affordance mapping from egocentric vision
• SoDaCam: Software-defined Cameras via Single-Photon Imaging
  :house:project
• PivotNet: Vectorized Pivot Learning for End-to-end HD Map Construction
• Active Neural Mapping
  :star:code
• Reconstructing Groups of People with Hypergraph Relational Reasoning
  :star:code
• Learning to Upsample by Learning to Sample
  :star:code
• Efficient Discovery and Effective Evaluation of Visual Perceptual Similarity: A Benchmark and Beyond
• S-TREK: Sequential Translation and Rotation Equivariant Keypoints for local feature extraction
• Unaligned 2D to 3D Translation with Conditional Vector-Quantized Code Diffusion using Transformers
• 4D Myocardium Reconstruction with Decoupled Motion and Shape Model
• Hierarchical Contrastive Learning for Pattern-Generalizable Image Corruption Detection
  :star:code
• LDL: Line Distance Functions for Panoramic Localization
  :star:code
• Generalized Lightness Adaptation with Channel Selective Normalization
  :star:code
  :star:code
• MST-compression: Compressing and Accelerating Binary Neural Networks with Minimum Spanning Tree
• Late Stopping: Avoiding Confidently Learning from Mislabeled Examples
• Motion-Guided Masking for Spatiotemporal Representation Learning
• Self-supervised Learning of Implicit Shape Representation with Dense Correspondence for Deformable Objects
  :star:code
• SUMMIT: Source-Free Adaptation of Uni-Modal Models to Multi-Modal Targets
  :star:code
• DR-Tune: Improving Fine-tuning of Pretrained Visual Models by Distribution Regularization with Semantic Calibration
  :star:code
• RankMixup: Ranking-Based Mixup Training for Network Calibration
• ACLS: Adaptive and Conditional Label Smoothing for Network Calibration
• SPANet: Frequency-balancing Token Mixer using Spectral Pooling Aggregation Modulation
  :star:code
• Learning a More Continuous Zero Level Set in Unsigned Distance Fields through Level Set Projection
  :star:code
• CAME: Contrastive Automated Model Evaluation
• LDP-Feat: Image Features with Local Differential Privacy
• DiffCloth: Diffusion Based Garment Synthesis and Manipulation via Structural Cross-modal Semantic Alignment
• Diffusion Model as Representation Learner
  :star:code
• MetaGCD: Learning to Continually Learn in Generalized Category Discovery
• Few-Shot Physically-Aware Articulated Mesh Generation via Hierarchical Deformation
  :star:code
• Improving Adversarial Robustness of Masked Autoencoders via Test-time Frequency-domain Prompting
  :star:code
• Robust Mixture-of-Expert Training for Convolutional Neural Networks
  :star:code
• Single Image Reflection Separation via Component Synergy
  :star:code
• Partition-and-Debias: Agnostic Biases Mitigation via A Mixture of Biases-Specific Experts
  :star:code
• On the Robustness of Open-World Test-Time Training: Self-Training with Dynamic Prototype Expansion
  :star:code
• Understanding Self-attention Mechanism via Dynamical System Perspective
• A Theory of Topological Derivatives for Inverse Rendering of Geometry
  :star:code
• X-VoE: Measuring eXplanatory Violation of Expectation in Physical Events
  :house:project
• ClothesNet: An Information-Rich 3D Garment Model Repository with Simulated Clothes Environment
• Leveraging Intrinsic Properties for Non-Rigid Garment Alignment
  :star:code
• Event-Guided Procedure Planning from Instructional Videos with Text Supervision
• Spatially and Spectrally Consistent Deep Functional Maps
  :star:code
• Realistic Full-Body Tracking from Sparse Observations via Joint-Level Modeling
  :star:code
• Label Shift Adapter for Test-Time Adaptation under Covariate and Label Shifts
• ALIP: Adaptive Language-Image Pre-training with Synthetic Caption
  :star:code
• OmniZoomer: Learning to Move and Zoom in on Sphere at High-Resolution
  :star:code
• One-bit Flip is All You Need: When Bit-flip Attack Meets Model Training
  :star:code
• ObjectSDF++: Improved Object-Compositional Neural Implicit Surfaces
  :star:code
  :star:code
• UniTR: A Unified and Efficient Multi-Modal Transformer for Bird's-Eye-View Representation
  :star:code
• PARIS: Part-level Reconstruction and Motion Analysis for Articulated Objects
  :star:code
  :house:project
• Boosting Multi-modal Model Performance with Adaptive Gradient Modulation
  :star:code
• Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization
• Estimator Meets Equilibrium Perspective: A Rectified Straight Through Estimator for Binary Neural Networks Training
• GIFD: A Generative Gradient Inversion Method with Feature Domain Optimization
• Prune Spatio-temporal Tokens by Semantic-aware Temporal Accumulation
  :star:code
• TIJO: Trigger Inversion with Joint Optimization for Defending Multimodal Backdoored Models
  :star:code
• 3D Motion Magnification: Visualizing Subtle Motions with Time Varying Radiance Fields
  :star:code
• Improving Pixel-based MIM by Reducing Wasted Modeling Capability
  :star:code
• Revisiting the Parameter Efficiency of Adapters from the Perspective of Precision Redundancy
  :star:code
• Towards General Low-Light Raw Noise Synthesis and Modeling
  :star:code
• Supervised Homography Learning with Realistic Dataset Generation
  :star:code
• Dynamic PlenOctree for Adaptive Sampling Refinement in Explicit NeRF
  :house:project
• Spatio-Temporal Domain Awareness for Multi-Agent Collaborative Perception
• Conditional Cross Attention Network for Multi-Space Embedding without Entanglement in Only a SINGLE Network
• Rethinking Data Distillation: Do Not Overlook Calibration
• Kick Back & Relax: Learning to Reconstruct the World by Watching SlowTV
  :star:code
• Towards Viewpoint-Invariant Visual Recognition via Adversarial Training
• Tuning Pre-trained Model via Moment Probing
  :star:code
• Replay: Multi-modal Multi-view Acted Videos for Casual Holography
• TextManiA: Enriching Visual Feature by Text-driven Manifold Augmentation
• Rethinking Mobile Block for Efficient Attention-based Models
• RLSAC: Reinforcement Learning enhanced Sample Consensus for End-to-End Robust Estimation
  :star:code
• Cross-Domain Product Representation Learning for Rich-Content E-Commerce
• Interaction-aware Joint Attention Estimation Using People Attributes
  :house:project

2020 年论文分类汇总戳这里

↘️CVPR-2020-Papers ↘️ECCV-2020-Papers

2021 年论文分类汇总戳这里

↘️ICCV-2021-Papers ↘️CVPR-2021-Papers

2022 年论文分类汇总戳这里

↘️CVPR-2022-Papers ↘️WACV-2022-Papers ↘️ECCV-2022-Papers

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