Awesome

ICCV-2023-Papers

官网链接：https://iccv2023.thecvf.com/

研讨会:bell:：2023 年 10 月 2 日至 3 日<br>

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

💥💥💥ICCV 2023 获奖论文

最佳论文奖——马尔奖

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

最佳论文奖提名

• Segment Anything<br>:house:project

最佳学生论文奖

• Tracking Everything Everywhere All at Once<br>:house:project

<br>: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） <br>: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<br>:star:code
• Membrane Potential Batch Normalization for Spiking Neural Networks<br>: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<br>: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<br>:star:code<br>: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<br>: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<br>: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<br>: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<br>:star:code
• Robust Frame-to-Frame Camera Rotation Estimation in Crowded Scenes<br>: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<br>:star:code
• Efficient View Synthesis with Neural Radiance Distribution Field
• NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes<br>:star:code
• PARF: Primitive-Aware Radiance Fusion for Indoor Scene Novel View Synthesis
• Urban Radiance Field Representation with Deformable Neural Mesh Primitives<br>: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<br>:star:code<br>: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<br>: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<br>: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<br>:star:code
• RawHDR: High Dynamic Range Image Reconstruction from a Single Raw Image
• Learning Continuous Exposure Value Representations for Single-Image HDR Reconstruction<br>:star:code

47.Image-to-Image Translation

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

46.Edge Detection

• Tiny and Efficient Model for the Edge Detection Generalization<br>: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<br>:house:project
• S3IM: Stochastic Structural SIMilarity and Its Unreasonable Effectiveness for Neural Fields<br>:star:code<br>: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<br>:star:code
• Tri-MipRF: Tri-Mip Representation for Efficient Anti-Aliasing Neural Radiance Fields<br>:star:code
• Rendering Humans from Object-Occluded Monocular Videos<br>: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<br>:house:project<br>:star:code
• Robust e-NeRF: NeRF from Sparse & Noisy Events under Non-Uniform Motion<br>:star:code
• Pose-Free Neural Radiance Fields via Implicit Pose Regularization
• Canonical Factors for Hybrid Neural Fields<br>:star:code
• Multi-Modal Neural Radiance Field for Monocular Dense SLAM with a Light-Weight ToF Sensor<br>:star:code
• Blending-NeRF: Text-Driven Localized Editing in Neural Radiance Fields
• Strata-NeRF : Neural Radiance Fields for Stratified Scenes<br>:star:code
• DReg-NeRF: Deep Registration for Neural Radiance Fields<br>:star:code
• Seal-3D: Interactive Pixel-Level Editing for Neural Radiance Fields<br>:house:project<br>: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<br>:sunflower:dataset<br>: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<br>:star:code
  • EgoObjects: A Large-Scale Egocentric Dataset for Fine-Grained Object Understanding<br>:star:code
  • Towards Universal Image Embeddings: A Large-Scale Dataset and Challenge for Generic Image Representations<br>: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<br>:house:project<br>: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<br>:star:code
  • 360VOT: A New Benchmark Dataset for Omnidirectional Visual Object Tracking<br>:house:project<br>: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<br>: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<br>:star:code<br>: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<br>:star:code
  • COCO-O: A Benchmark for Object Detectors under Natural Distribution Shifts<br>: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<br>: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<br>:star:code
• SG-Former: Self-guided Transformer with Evolving Token Reallocation<br>: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<br>: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<br>:star:code
• OOD
  • CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No<br>: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<br>: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<br>:star:code
• 3D Implicit Transporter for Temporally Consistent Keypoint Discovery<br>: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<br>:star:code
• LoGoPrompt: Synthetic Text Images Can Be Good Visual Prompts for Vision-Language Models<br>: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<br>:star:code
• Regularized Mask Tuning: Uncovering Hidden Knowledge in Pre-trained Vision-Language Models<br>:star:code
• Why Is Prompt Tuning for Vision-Language Models Robust to Noisy Labels?<br>:star:code
• Set-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-training Models<br>: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<br>:star:code
• VL-PET: Vision-and-Language Parameter-Efficient Tuning via Granularity Control<br>:star:code
• Knowledge-Aware Prompt Tuning for Generalizable Vision-Language Models
• VLSlice: Interactive Vision-and-Language Slice Discovery<br>: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<br>: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<br>:star:code
  • AerialVLN: Vision-and-Language Navigation for UAVs<br>:star:code
  • DREAMWALKER: Mental Planning for Continuous Vision-Language Navigation<br>: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<br>: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<br>: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<br>: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<br>: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<br>: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<br>: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<br>:star:code
• Forecast-MAE: Self-supervised Pre-training for Motion Forecasting with Masked Autoencoders<br>: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<br>:star:code
• Masked Motion Predictors are Strong 3D Action Representation Learners<br>: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<br>: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<br>:star:code
• 时序动作定位
  • DDG-Net: Discriminability-Driven Graph Network for Weakly-supervised Temporal Action Localization<br>: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<br>:star:code
• D3G: Exploring Gaussian Prior for Temporal Sentence Grounding with Glance Annotation<br>: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<br>:house:project<br>: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<br>:star:code
  • Knowing Where to Focus: Event-aware Transformer for Video Grounding<br>: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<br>:star:code
  • GraphEcho: Graph-Driven Unsupervised Domain Adaptation for Echocardiogram Video Segmentation<br>:star:code
  • MeViS: A Large-scale Benchmark for Video Segmentation with Motion Expressions<br>:star:code<br>:star:code<br>: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<br>: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<br>: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<br>:star:code
  • Implicit Temporal Modeling with Learnable Alignment for Video Recognition
• 视频修补
  • ProPainter: Improving Propagation and Transformer for Video Inpainting<br>: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<br>: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<br>: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<br>: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<br>: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<br>:house:project
  • Diffusion-Guided Reconstruction of Everyday Hand-Object Interaction Clips<br>:star:code
  • AffordPose: A Large-scale Dataset of Hand-Object Interactions with Affordance-driven Hand Pose<br>: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<br>: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<br>:star:code<br>: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<br>:star:code<br>: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<br>:star:code
  • Video Task Decathlon: Unifying Image and Video Tasks in Autonomous Driving<br>: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<br>: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<br>: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<br>: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<br>:star:code
  • ADNet: Lane Shape Prediction via Anchor Decomposition<br>:star:code
  • LATR: 3D Lane Detection from Monocular Images with Transformer<br>:star:code
  • Recursive Video Lane Detection<br>: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<br>:star:code
• Creative Birds: Self-Supervised Single-View 3D Style Transfer<br>: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<br>: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<br>: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<br>:star:code
  • Diverse Cotraining Makes Strong Semi-Supervised Segmentor<br>:star:code
  • Semi-Supervised Learning via Weight-aware Distillation under Class Distribution Mismatch<br>:star:code
  • IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization<br>: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<br>: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<br>:star:code
  • 对抗样本
    • Downstream-agnostic Adversarial Examples
    • Benchmarking and Analyzing Robust Point Cloud Recognition: Bag of Tricks for Defending Adversarial Examples<br>: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<br>: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<br>:star:code
  • Masked Autoencoders are Efficient Class Incremental Learners<br>:star:code
  • Heterogeneous Forgetting Compensation for Class-Incremental Learning<br>:star:code
  • Class-Incremental Grouping Network for Continual Audio-Visual Learning<br>: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<br>: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<br>:star:code
  • TaskExpert: Dynamically Assembling Multi-Task Representations with Memorial Mixture-of-Experts<br>:star:code
  • Achievement-Based Training Progress Balancing for Multi-Task Learning
• 持续学习
  • CLR: Channel-wise Lightweight Reprogramming for Continual Learning<br>: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<br>:star:code<br>: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<br>: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<br>: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<br>: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<br>:star:code
  • Learning to Identify Critical States for Reinforcement Learning from Videos<br>: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<br>:star:code
  • Disentangling Spatial and Temporal Learning for Efficient Image-to-Video Transfer Learning<br>: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<br>: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<br>: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<br>: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<br>:star:code
  • LiDAR-UDA: Self-ensembling Through Time for Unsupervised LiDAR Domain Adaptation<br>:star:code
  • Unsupervised Domain Adaptive Detection with Network Stability Analysis<br>:star:code
  • The Unreasonable Effectiveness of Large Language-Vision Models for Source-free Video Domain Adaptation<br>:star:code
  • Domain-Specificity Inducing Transformers for Source-Free Domain Adaptation<br>:house:project
  • DomainAdaptor: A Novel Approach to Test-time Adaptation<br>:star:code
  • GeT: Generative Target Structure Debiasing for Domain Adaptation<br>: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<br>: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<br>:star:code
  • Domain Generalization via Rationale Invariance<br>:star:code
  • PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization<br>:house:project
  • Generalizable Decision Boundaries: Dualistic Meta-Learning for Open Set Domain Generalization<br>:star:code
• 零样本学习
  • Hyperbolic Audio-visual Zero-shot Learning
  • Continual Zero-Shot Learning through Semantically Guided Generative Random Walks<br>:star:code
  • Hierarchical Visual Primitive Experts for Compositional Zero-Shot Learning<br>: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<br>:star:code
  • Read-only Prompt Optimization for Vision-Language Few-shot Learning<br>: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<br>:star:code<br>: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<br>:star:code<br>: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<br>:star:code<br>: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<br>:star:code
• CNN based Cuneiform Sign Detection Learned from Annotated 3D Renderings and Mapped Photographs with Illumination Augmentation<br>:house:project
• ESTextSpotter: Towards Better Scene Text Spotting with Explicit Synergy in Transformer<br>: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<br>: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<br>:star:code
• 字体生成
  • Few shot font generation via transferring similarity guided global style and quantization local style<br>: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<br>:star:code
• 2D3D-MATR: 2D-3D Matching Transformer for Detection-free Registration between Images and Point Clouds<br>:star:code
• DELFlow: Dense Efficient Learning of Scene Flow for Large-Scale Point Clouds<br>:star:code
• Sketch and Text Guided Diffusion Model for Colored Point Cloud Generation
• Clustering based Point Cloud Representation Learning for 3D Analysis<br>:star:code
• Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models<br>:house:project<br>: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<br>:star:code
  • Sample-adaptive Augmentation for Point Cloud Recognition Against Real-world Corruptions<br>: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<br>:star:code
  • Hierarchical Point-based Active Learning for Semi-supervised Point Cloud Semantic Segmentation<br>:star:code
  • Generalized Few-Shot Point Cloud Segmentation Via Geometric Words<br>:star:code
• 点云补全
  • P2C: Self-Supervised Point Cloud Completion from Single Partial Clouds<br>: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<br>: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<br>: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<br>: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<br>: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<br>:star:code<br>:star:code
• 3D人体姿态估计
  • 3D-Aware Neural Body Fitting for Occlusion Robust 3D Human Pose Estimation<br>:star:code<br>: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<br>: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<br>:star:code<br>:star:code
  • EMDB: The Electromagnetic Database of Global 3D Human Pose and Shape in the Wild<br>: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<br>: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<br>: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<br>:star:code
• 3D人体恢复
  • ReFit: Recurrent Fitting Network for 3D Human Recovery<br>: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<br>: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<br>:star:code
• 手-物建模
  • CHORD: Category-level Hand-held Object Reconstruction via Shape Deformation<br>:star:code
  • Dynamic Hyperbolic Attention Network for Fine Hand-object Reconstruction
  • Reconstructing Interacting Hands with Interaction Prior from Monocular Images<br>: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<br>:star:code<br>: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<br>: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<br>:star:code
• Dual Aggregation Transformer for Image Super-Resolution<br>:star:code
• Feature Modulation Transformer: Cross-Refinement of Global Representation via High-Frequency Prior for Image Super-Resolution<br>:star:code
• MetaF2N: Blind Image Super-Resolution by Learning Efficient Model Adaptation from Faces<br>: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<br>:house:project
• Coarse-to-Fine: Learning Compact Discriminative Representation for Single-Stage Image Retrieval<br>:star:code
• Global Features are All You Need for Image Retrieval and Reranking<br>: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<br>: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<br>:star:code
  • Unified Coarse-to-Fine Alignment for Video-Text Retrieval<br>:star:code
• 视频检索
  • Simple Baselines for Interactive Video Retrieval with Questions and Answers<br>: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<br>: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<br>:star:code
• Explore and Tell: Embodied Visual Captioning in 3D Environments<br>:star:code
• With a Little Help from your own Past: Prototypical Memory Networks for Image Captioning<br>: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<br>: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<br>: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<br>:star:code
  • Preserving Tumor Volumes for Unsupervised Medical Image Registration<br>:star:code
• 医学报告生成
  • PRIOR: Prototype Representation Joint Learning from Medical Images and Reports<br>: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<br>: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<br>: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<br>: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<br>: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<br>: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<br>:star:code
  • Learning to Generate Semantic Layouts for Higher Text-Image Correspondence in Text-to-Image Synthesis<br>: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<br>: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<br>: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<br>: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<br>: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<br>:house:project<br>: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<br>:star:code
• Label-Free Event-based Object Recognition via Joint Learning with Image Reconstruction from Events<br>:star:code
• ImbSAM: A Closer Look at Sharpness-Aware Minimization in Class-Imbalanced Recognition<br>:star:code
• Learning Concise and Descriptive Attributes for Visual Recognition
• Get the Best of Both Worlds: Improving Accuracy and Transferability by Grassmann Class Representation<br>: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<br>: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<br>: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<br>:star:code
• Homography Guided Temporal Fusion for Road Line and Marking Segmentation
• SegPrompt: Boosting Open-world Segmentation via Category-level Prompt Learning<br>:star:code
• Multi-interactive Feature Learning and a Full-time Multi-modality Benchmark for Image Fusion and Segmentation<br>:star:code
• CoinSeg: Contrast Inter- and Intra- Class Representations for Incremental Segmentation
• Unmasking Anomalies in Road-Scene Segmentation<br>: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<br>: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<br>:star:code
  • Beyond One-to-One: Rethinking the Referring Image Segmentation<br>:star:code
  • Referring Image Segmentation Using Text Supervision<br>: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<br>: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<br>:star:code
  • CMDA: Cross-Modality Domain Adaptation for Nighttime Semantic Segmentation<br>:star:code
  • To Adapt or Not to Adapt? Real-Time Adaptation for Semantic Segmentation<br>: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<br>: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<br>: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<br>: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<br>: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<br>:star:code
  • LiDAR-Camera Panoptic Segmentation via Geometry-Consistent and Semantic-Aware Alignment<br>: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<br>:star:code
  • DVIS: Decoupled Video Instance Segmentation Framework<br>:star:code<br>: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<br>:star:code
  • Towards Open-Vocabulary Video Instance Segmentation<br>:thumbsup:面向开放任务的视频实例分割（ Oral )
• VOS
  • Spectrum-guided Multi-granularity Referring Video Object Segmentation<br>: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<br>:star:code
  • Temporal Collection and Distribution for Referring Video Object Segmentation<br>:star:code
  • OnlineRefer: A Simple Online Baseline for Referring Video Object Segmentation<br>:star:code
  • Isomer: Isomerous Transformer for Zero-shot Video Object Segmentation<br>:star:code
  • Scalable Video Object Segmentation with Simplified Framework
  • Learning Cross-Modal Affinity for Referring Video Object Segmentation Targeting Limited Samples<br>: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<br>: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<br>: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<br>: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<br>:house:project
  • Implicit Neural Representation for Cooperative Low-light Image Enhancement<br>:star:code<br>: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<br>:star:code<br>: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<br>: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<br>: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<br>: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<br>:star:code<br>: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<br>:star:code
  • Deep Image Harmonization with Globally Guided Feature Transformation and Relation Distillation<br>: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<br>:star:code
• Can Language Models Learn to Listen?<br>: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<br>:star:code
  • Efficient Emotional Adaptation for Audio-Driven Talking-Head Generation<br>: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<br>:star:code<br>: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<br>:star:code<br>: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<br>:star:code
  • How to Boost Face Recognition with StyleGAN?
  • Privacy-Preserving Face Recognition Using Random Frequency Components<br>: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<br>: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<br>: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<br>: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<br>: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<br>: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<br>: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<br>:star:code
• FeatEnHancer: Enhancing Hierarchical Features for Object Detection and Beyond Under Low-Light Vision
• FB-BEV: BEV Representation from Forward-Backward View Transformations<br>:star:code
• DETR Doesn't Need Multi-Scale or Locality Design<br>:star:code
• RecursiveDet: End-to-End Region-based Recursive Object Detection<br>:star:code
• Less is More: Focus Attention for Efficient DETR<br>:star:code<br>:house:project
• Spatial Self-Distillation for Object Detection with Inaccurate Bounding Boxes<br>:star:code
• AlignDet: Aligning Pre-training and Fine-tuning in Object Detection<br>: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<br>:star:code
• Object-aware Gaze Target Detection<br>: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<br>: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<br>:star:code
  • MonoNeRD: NeRF-like Representations for Monocular 3D Object Detection<br>:star:code
  • SparseBEV: High-Performance Sparse 3D Object Detection from Multi-Camera Videos<br>: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<br>:star:code
  • FocalFormer3D : Focusing on Hard Instance for 3D Object Detection<br>:star:code
  • NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection<br>:star:code
  • Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection<br>:star:code
  • Cross Modal Transformer: Towards Fast and Robust 3D Object Detection<br>: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<br>: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<br>: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<br>:star:code
• 视频目标检测
  • Objects do not disappear: Video object detection by single-frame object location anticipation<br>: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<br>: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<br>: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<br>:star:code
• PlaneRecTR: Unified Query learning for 3D Plane Recovery from a Single View<br>:house:project<br>:star:code
• OmnimatteRF: Robust Omnimatte with 3D Background Modeling<br>: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<br>: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<br>:star:code
  • Doppelgangers: Learning to Disambiguate Images of Similar Structures<br>: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<br>:star:code
  • CHORUS: Learning Canonicalized 3D Human-Object Spatial Relations from Unbounded Synthesized Images<br>:star:code
  • PlankAssembly: Robust 3D Reconstruction from Three Orthographic Views with Learnt Shape Programs<br>:star:code
  • Coordinate Quantized Neural Implicit Representations for Multi-view Reconstruction<br>:star:code
  • Root Pose Decomposition Towards Generic Non-rigid 3D Reconstruction with Monocular Videos<br>:star:code
  • R3D3: Dense 3D Reconstruction of Dynamic Scenes from Multiple Cameras<br>:house:project
  • 三维场景重建
    • FrozenRecon: Pose-free 3D Scene Reconstruction with Frozen Depth Models<br>: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<br>: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<br>: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<br>:star:code
  • ELFNet: Evidential Local-global Fusion for Stereo Matching<br>: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<br>: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<br>:star:code
• DECO: Dense Estimation of 3D Human-Scene Contact In The Wild<br>:house:project
• PHRIT: Parametric Hand Representation with Implicit Template
• Improving Unsupervised Visual Program Inference with Code Rewriting Families<br>:star:code
• Generating Visual Scenes from Touch<br>:star:code
• LOGICSEG: Parsing Visual Semantics with Neural Logic Learning and Reasoning<br>:star:code
• Automatic Animation of Hair Blowing in Still Portrait Photos<br>: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<br>:star:code<br>:star:code
• TinyCLIP: CLIP Distillation via Affinity Mimicking and Weight Inheritance<br>:house:project
• BANSAC: A dynamic BAyesian Network for adaptive SAmple Consensus
• Tree-Structured Shading Decomposition<br>:house:project
• Keep It SimPool: Who Said Supervised Transformers Suffer from Attention Deficit?<br>:star:code
• Beyond Skin Tone: A Multidimensional Measure of Apparent Skin Color
• Multi3DRefer: Grounding Text Description to Multiple 3D Objects
• Panoramas from Photons<br>: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<br>:house:project
• PivotNet: Vectorized Pivot Learning for End-to-end HD Map Construction
• Active Neural Mapping<br>:star:code
• Reconstructing Groups of People with Hypergraph Relational Reasoning<br>:star:code
• Learning to Upsample by Learning to Sample<br>: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<br>:star:code
• LDL: Line Distance Functions for Panoramic Localization<br>:star:code
• Generalized Lightness Adaptation with Channel Selective Normalization<br>:star:code<br>: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<br>:star:code
• SUMMIT: Source-Free Adaptation of Uni-Modal Models to Multi-Modal Targets<br>:star:code
• DR-Tune: Improving Fine-tuning of Pretrained Visual Models by Distribution Regularization with Semantic Calibration<br>: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<br>:star:code
• Learning a More Continuous Zero Level Set in Unsigned Distance Fields through Level Set Projection<br>: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<br>:star:code
• MetaGCD: Learning to Continually Learn in Generalized Category Discovery
• Few-Shot Physically-Aware Articulated Mesh Generation via Hierarchical Deformation<br>:star:code
• Improving Adversarial Robustness of Masked Autoencoders via Test-time Frequency-domain Prompting<br>:star:code
• Robust Mixture-of-Expert Training for Convolutional Neural Networks<br>:star:code
• Single Image Reflection Separation via Component Synergy<br>:star:code
• Partition-and-Debias: Agnostic Biases Mitigation via A Mixture of Biases-Specific Experts<br>:star:code
• On the Robustness of Open-World Test-Time Training: Self-Training with Dynamic Prototype Expansion<br>:star:code
• Understanding Self-attention Mechanism via Dynamical System Perspective
• A Theory of Topological Derivatives for Inverse Rendering of Geometry<br>:star:code
• X-VoE: Measuring eXplanatory Violation of Expectation in Physical Events<br>:house:project
• ClothesNet: An Information-Rich 3D Garment Model Repository with Simulated Clothes Environment
• Leveraging Intrinsic Properties for Non-Rigid Garment Alignment<br>:star:code
• Event-Guided Procedure Planning from Instructional Videos with Text Supervision
• Spatially and Spectrally Consistent Deep Functional Maps<br>:star:code
• Realistic Full-Body Tracking from Sparse Observations via Joint-Level Modeling<br>:star:code
• Label Shift Adapter for Test-Time Adaptation under Covariate and Label Shifts
• ALIP: Adaptive Language-Image Pre-training with Synthetic Caption<br>:star:code
• OmniZoomer: Learning to Move and Zoom in on Sphere at High-Resolution<br>:star:code
• One-bit Flip is All You Need: When Bit-flip Attack Meets Model Training<br>:star:code
• ObjectSDF++: Improved Object-Compositional Neural Implicit Surfaces<br>:star:code<br>:star:code
• UniTR: A Unified and Efficient Multi-Modal Transformer for Bird's-Eye-View Representation<br>:star:code
• PARIS: Part-level Reconstruction and Motion Analysis for Articulated Objects<br>:star:code<br>:house:project
• Boosting Multi-modal Model Performance with Adaptive Gradient Modulation<br>: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<br>:star:code
• TIJO: Trigger Inversion with Joint Optimization for Defending Multimodal Backdoored Models<br>:star:code
• 3D Motion Magnification: Visualizing Subtle Motions with Time Varying Radiance Fields<br>:star:code
• Improving Pixel-based MIM by Reducing Wasted Modeling Capability<br>:star:code
• Revisiting the Parameter Efficiency of Adapters from the Perspective of Precision Redundancy<br>:star:code
• Towards General Low-Light Raw Noise Synthesis and Modeling<br>:star:code
• Supervised Homography Learning with Realistic Dataset Generation<br>:star:code
• Dynamic PlenOctree for Adaptive Sampling Refinement in Explicit NeRF<br>: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<br>:star:code
• Towards Viewpoint-Invariant Visual Recognition via Adversarial Training
• Tuning Pre-trained Model via Moment Probing<br>: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<br>:star:code
• Cross-Domain Product Representation Learning for Rich-Content E-Commerce
• Interaction-aware Joint Attention Estimation Using People Attributes<br>: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

扫码CV君微信(注明：paper)入微信交流群：