CVPR 2024 Events with Videos

Art Programs

• Art Program Panel Discussion

Expo Track Keynotes

• Computer vision at scale: Driving customer innovation and industry adoption
• Today’s Pictures, Tomorrow’s Training Data: The Synergy Between Human Creativity and AI
• Phase Transition in AI: Opportunities and Gaps Towards Making AI Real

Keynotes

• The Tip and the Iceberg: Deep Learning and Embodiment
• Design of New Protein Functions Using Deep Learning
• Entanglements, Exploring Artificial Biodiversity

Panels

• Societal opportunities and challenges of AI
• CVPR: past, present, and future

Posters

• SVDTree: Semantic Voxel Diffusion for Single Image Tree Reconstruction
• On the Robustness of Language Guidance for Low-Level Vision Tasks: Findings from Depth Estimation
• Forecasting of 3D Whole-body Human Poses with Grasping Objects
• BodyMAP - Jointly Predicting Body Mesh and 3D Applied Pressure Map for People in Bed
• Unsupervised Semantic Segmentation Through Depth-Guided Feature Correlation and Sampling
• Real-Time Neural BRDF with Spherically Distributed Primitives
• QUADify: Extracting Meshes with Pixel-level Details and Materials from Images
• KTPFormer: Kinematics and Trajectory Prior Knowledge-Enhanced Transformer for 3D Human Pose Estimation
• Makeup Prior Models for 3D Facial Makeup Estimation and Applications
• XFeat: Accelerated Features for Lightweight Image Matching
• GSVA: Generalized Segmentation via Multimodal Large Language Models
• AdaBM: On-the-Fly Adaptive Bit Mapping for Image Super-Resolution
• FlashAvatar: High-fidelity Head Avatar with Efficient Gaussian Embedding
• MultiPhys: Multi-Person Physics-aware 3D Motion Estimation
• Activity-Biometrics: Person Identification from Daily Activities
• Eclipse: Disambiguating Illumination and Materials using Unintended Shadows
• Diffuse Attend and Segment: Unsupervised Zero-Shot Segmentation using Stable Diffusion
• Infer from What You Have Seen Before: Temporally-dependent Classifier for Semi-supervised Video Segmentation
• GoMAvatar: Efficient Animatable Human Modeling from Monocular Video Using Gaussians-on-Mesh
• MS-MANO: Enabling Hand Pose Tracking with Biomechanical Constraints
• FaceChain-ImagineID: Freely Crafting High-Fidelity Diverse Talking Faces from Disentangled Audio
• Open-World Semantic Segmentation Including Class Similarity
• OMG: Towards Open-vocabulary Motion Generation via Mixture of Controllers
• HAVE-FUN: Human Avatar Reconstruction from Few-Shot Unconstrained Images
• Training-Free Open-Vocabulary Segmentation with Offline Diffusion-Augmented Prototype Generation
• Laplacian-guided Entropy Model in Neural Codec with Blur-dissipated Synthesis
• Neural Sign Actors: A Diffusion Model for 3D Sign Language Production from Text
• OVFoodSeg: Elevating Open-Vocabulary Food Image Segmentation via Image-Informed Textual Representation
• HHMR: Holistic Hand Mesh Recovery by Enhancing the Multimodal Controllability of Graph Diffusion Models
• DreamPropeller: Supercharge Text-to-3D Generation with Parallel Sampling
• OAKINK2: A Dataset of Bimanual Hands-Object Manipulation in Complex Task Completion
• TexOct: Generating Textures of 3D Models with Octree-based Diffusion
• OHTA: One-shot Hand Avatar via Data-driven Implicit Priors
• CPGA: Coding Priors-Guided Aggregation Network for Compressed Video Quality Enhancement
• Text-Conditioned Generative Model of 3D Strand-based Human Hairstyles
• FINER: Flexible Spectral-bias Tuning in Implicit NEural Representation by Variable-periodic Activation Functions
• BA-SAM: Scalable Bias-Mode Attention Mask for Segment Anything Model
• BigGait: Learning Gait Representation You Want by Large Vision Models
• Generating Human Motion in 3D Scenes from Text Descriptions
• Finsler-Laplace-Beltrami Operators with Application to Shape Analysis
• 4D-DRESS: A 4D Dataset of Real-World Human Clothing With Semantic Annotations
• HOIST-Former: Hand-held Objects Identification Segmentation and Tracking in the Wild
• 3D Human Pose Perception from Egocentric Stereo Videos
• ProxyCap: Real-time Monocular Full-body Capture in World Space via Human-Centric Proxy-to-Motion Learning
• Stratified Avatar Generation from Sparse Observations
• DUDF: Differentiable Unsigned Distance Fields with Hyperbolic Scaling
• MultiPly: Reconstruction of Multiple People from Monocular Video in the Wild
• AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation
• PhysGaussian: Physics-Integrated 3D Gaussians for Generative Dynamics
• SC-GS: Sparse-Controlled Gaussian Splatting for Editable Dynamic Scenes
• SEAS: ShapE-Aligned Supervision for Person Re-Identification
• HOLD: Category-agnostic 3D Reconstruction of Interacting Hands and Objects from Video
• Cross-Domain Few-Shot Segmentation via Iterative Support-Query Correspondence Mining
• Towards Variable and Coordinated Holistic Co-Speech Motion Generation
• Human Gaussian Splatting: Real-time Rendering of Animatable Avatars
• SfmCAD: Unsupervised CAD Reconstruction by Learning Sketch-based Feature Modeling Operations
• SCE-MAE: Selective Correspondence Enhancement with Masked Autoencoder for Self-Supervised Landmark Estimation
• DiffusionPoser: Real-time Human Motion Reconstruction From Arbitrary Sparse Sensors Using Autoregressive Diffusion
• InterHandGen: Two-Hand Interaction Generation via Cascaded Reverse Diffusion
• Mosaic-SDF for 3D Generative Models
• A Semi-supervised Nighttime Dehazing Baseline with Spatial-Frequency Aware and Realistic Brightness Constraint
• MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model
• Digital Life Project: Autonomous 3D Characters with Social Intelligence
• WANDR: Intention-guided Human Motion Generation
• Molecular Data Programming: Towards Molecule Pseudo-labeling with Systematic Weak Supervision
• Normalizing Flows on the Product Space of SO(3) Manifolds for Probabilistic Human Pose Modeling
• Human Motion Prediction Under Unexpected Perturbation
• Memory-Scalable and Simplified Functional Map Learning
• When StyleGAN Meets Stable Diffusion: a W+ Adapter for Personalized Image Generation
• Lodge: A Coarse to Fine Diffusion Network for Long Dance Generation Guided by the Characteristic Dance Primitives
• AnySkill: Learning Open-Vocabulary Physical Skill for Interactive Agents
• Loose Inertial Poser: Motion Capture with IMU-attached Loose-Wear Jacket
• Diffusion 3D Features (Diff3F): Decorating Untextured Shapes with Distilled Semantic Features
• Score-Guided Diffusion for 3D Human Recovery
• AAMDM: Accelerated Auto-regressive Motion Diffusion Model
• Capturing Closely Interacted Two-Person Motions with Reaction Priors
• VINECS: Video-based Neural Character Skinning
• Semantics-aware Motion Retargeting with Vision-Language Models
• Video-Based Human Pose Regression via Decoupled Space-Time Aggregation
• Test-Time Domain Generalization for Face Anti-Spoofing
• A Unified and Interpretable Emotion Representation and Expression Generation
• Locally Adaptive Neural 3D Morphable Models
• Closely Interactive Human Reconstruction with Proxemics and Physics-Guided Adaption
• Fun with Flags: Robust Principal Directions via Flag Manifolds
• I'M HOI: Inertia-aware Monocular Capture of 3D Human-Object Interactions
• Automatic Controllable Colorization via Imagination
• SplattingAvatar: Realistic Real-Time Human Avatars with Mesh-Embedded Gaussian Splatting
• Differentiable Point-based Inverse Rendering
• Video2Game: Real-time Interactive Realistic and Browser-Compatible Environment from a Single Video
• GAvatar: Animatable 3D Gaussian Avatars with Implicit Mesh Learning
• DSL-FIQA: Assessing Facial Image Quality via Dual-Set Degradation Learning and Landmark-Guided Transformer
• Modular Blind Video Quality Assessment
• Attention-Propagation Network for Egocentric Heatmap to 3D Pose Lifting
• Rethinking Few-shot 3D Point Cloud Semantic Segmentation
• MAS: Multi-view Ancestral Sampling for 3D Motion Generation Using 2D Diffusion
• Quantifying Task Priority for Multi-Task Optimization
• From a Bird's Eye View to See: Joint Camera and Subject Registration without the Camera Calibration
• Exploring Vision Transformers for 3D Human Motion-Language Models with Motion Patches
• HumanNorm: Learning Normal Diffusion Model for High-quality and Realistic 3D Human Generation
• DIOD: Self-Distillation Meets Object Discovery
• PhysPT: Physics-aware Pretrained Transformer for Estimating Human Dynamics from Monocular Videos
• Cross-view and Cross-pose Completion for 3D Human Understanding
• SynSP: Synergy of Smoothness and Precision in Pose Sequences Refinement
• Enhancing Video Super-Resolution via Implicit Resampling-based Alignment
• Flexible Biometrics Recognition: Bridging the Multimodality Gap through Attention Alignment and Prompt Tuning
• Perception-Oriented Video Frame Interpolation via Asymmetric Blending
• Move as You Say Interact as You Can: Language-guided Human Motion Generation with Scene Affordance
• Masked and Shuffled Blind Spot Denoising for Real-World Images
• CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation
• Joint2Human: High-Quality 3D Human Generation via Compact Spherical Embedding of 3D Joints
• DPHMs: Diffusion Parametric Head Models for Depth-based Tracking
• Anatomically Constrained Implicit Face Models
• Adaptive Bidirectional Displacement for Semi-Supervised Medical Image Segmentation
• CLIPtone: Unsupervised Learning for Text-based Image Tone Adjustment
• Self-Calibrating Vicinal Risk Minimisation for Model Calibration
• LeGO: Leveraging a Surface Deformation Network for Animatable Stylized Face Generation with One Example
• Prompt-Driven Referring Image Segmentation with Instance Contrasting
• HashPoint: Accelerated Point Searching and Sampling for Neural Rendering
• MoST: Motion Style Transformer Between Diverse Action Contents
• CADTalk: An Algorithm and Benchmark for Semantic Commenting of CAD Programs
• Unbiased Estimator for Distorted Conics in Camera Calibration
• Towards a Perceptual Evaluation Framework for Lighting Estimation
• General Object Foundation Model for Images and Videos at Scale
• Design2Cloth: 3D Cloth Generation from 2D Masks
• Authentic Hand Avatar from a Phone Scan via Universal Hand Model
• HMD-Poser: On-Device Real-time Human Motion Tracking from Scalable Sparse Observations
• DiffusionLight: Light Probes for Free by Painting a Chrome Ball
• EventEgo3D: 3D Human Motion Capture from Egocentric Event Streams
• GALA: Generating Animatable Layered Assets from a Single Scan
• Frozen CLIP: A Strong Backbone for Weakly Supervised Semantic Segmentation
• GaussianAvatar: Towards Realistic Human Avatar Modeling from a Single Video via Animatable 3D Gaussians
• Neural Implicit Representation for Building Digital Twins of Unknown Articulated Objects
• 3D Paintbrush: Local Stylization of 3D Shapes with Cascaded Score Distillation
• BlockGCN: Redefine Topology Awareness for Skeleton-Based Action Recognition
• Artist-Friendly Relightable and Animatable Neural Heads
• AUEditNet: Dual-Branch Facial Action Unit Intensity Manipulation with Implicit Disentanglement
• Co-Speech Gesture Video Generation via Motion-Decoupled Diffusion Model
• TexTile: A Differentiable Metric for Texture Tileability
• Guided Slot Attention for Unsupervised Video Object Segmentation
• From Correspondences to Pose: Non-minimal Certifiably Optimal Relative Pose without Disambiguation
• SiTH: Single-view Textured Human Reconstruction with Image-Conditioned Diffusion
• GraCo: Granularity-Controllable Interactive Segmentation
• MoMask: Generative Masked Modeling of 3D Human Motions
• Breathing Life Into Sketches Using Text-to-Video Priors
• Exploiting Style Latent Flows for Generalizing Deepfake Video Detection
• Gaussian Head Avatar: Ultra High-fidelity Head Avatar via Dynamic Gaussians
• Open Vocabulary Semantic Scene Sketch Understanding
• Unifying Top-down and Bottom-up Scanpath Prediction Using Transformers
• OmniMotionGPT: Animal Motion Generation with Limited Data
• Learning to Control Camera Exposure via Reinforcement Learning
• TexVocab: Texture Vocabulary-conditioned Human Avatars
• ZERO-IG: Zero-Shot Illumination-Guided Joint Denoising and Adaptive Enhancement for Low-Light Images
• HumMUSS: Human Motion Understanding using State Space Models
• From Feature to Gaze: A Generalizable Replacement of Linear Layer for Gaze Estimation
• G-HOP: Generative Hand-Object Prior for Interaction Reconstruction and Grasp Synthesis
• Boosting Image Restoration via Priors from Pre-trained Models
• UniVS: Unified and Universal Video Segmentation with Prompts as Queries
• PolarMatte: Fully Computational Ground-Truth-Quality Alpha Matte Extraction for Images and Video using Polarized Screen Matting
• One-Class Face Anti-spoofing via Spoof Cue Map-Guided Feature Learning
• HumanRef: Single Image to 3D Human Generation via Reference-Guided Diffusion
• Blur2Blur: Blur Conversion for Unsupervised Image Deblurring on Unknown Domains
• NIVeL: Neural Implicit Vector Layers for Text-to-Vector Generation
• IntrinsicAvatar: Physically Based Inverse Rendering of Dynamic Humans from Monocular Videos via Explicit Ray Tracing
• Multi-agent Long-term 3D Human Pose Forecasting via Interaction-aware Trajectory Conditioning
• Weakly Supervised Point Cloud Semantic Segmentation via Artificial Oracle
• KeyPoint Relative Position Encoding for Face Recognition
• Rethinking Prior Information Generation with CLIP for Few-Shot Segmentation
• BOTH2Hands: Inferring 3D Hands from Both Text Prompts and Body Dynamics
• FaceLift: Semi-supervised 3D Facial Landmark Localization
• SCULPT: Shape-Conditioned Unpaired Learning of Pose-dependent Clothed and Textured Human Meshes
• Robust Image Denoising through Adversarial Frequency Mixup
• Estimating Extreme 3D Image Rotations using Cascaded Attention
• Collaborating Foundation Models for Domain Generalized Semantic Segmentation
• Dynamic Inertial Poser (DynaIP): Part-Based Motion Dynamics Learning for Enhanced Human Pose Estimation with Sparse Inertial Sensors
• A Dual-Augmentor Framework for Domain Generalization in 3D Human Pose Estimation
• Sharingan: A Transformer Architecture for Multi-Person Gaze Following
• Optimizing Diffusion Noise Can Serve As Universal Motion Priors
• CAM Back Again: Large Kernel CNNs from a Weakly Supervised Object Localization Perspective
• Differentiable Micro-Mesh Construction
• UniHuman: A Unified Model For Editing Human Images in the Wild
• ContextSeg: Sketch Semantic Segmentation by Querying the Context with Attention
• Segment Every Out-of-Distribution Object
• NeRF Analogies: Example-Based Visual Attribute Transfer for NeRFs
• ConvoFusion: Multi-Modal Conversational Diffusion for Co-Speech Gesture Synthesis
• SED: A Simple Encoder-Decoder for Open-Vocabulary Semantic Segmentation
• MMM: Generative Masked Motion Model
• A Call to Reflect on Evaluation Practices for Age Estimation: Comparative Analysis of the State-of-the-Art and a Unified Benchmark
• TokenHMR: Advancing Human Mesh Recovery with a Tokenized Pose Representation
• VideoRF: Rendering Dynamic Radiance Fields as 2D Feature Video Streams
• HanDiffuser: Text-to-Image Generation With Realistic Hand Appearances
• Neural Super-Resolution for Real-time Rendering with Radiance Demodulation
• Towards a Simultaneous and Granular Identity-Expression Control in Personalized Face Generation
• Self-Supervised Dual Contouring
• Segment Any Event Streams via Weighted Adaptation of Pivotal Tokens
• Telling Left from Right: Identifying Geometry-Aware Semantic Correspondence
• Beyond Image Super-Resolution for Image Recognition with Task-Driven Perceptual Loss
• MANUS: Markerless Grasp Capture using Articulated 3D Gaussians
• GPLD3D: Latent Diffusion of 3D Shape Generative Models by Enforcing Geometric and Physical Priors
• Deep Equilibrium Diffusion Restoration with Parallel Sampling
• Emotional Speech-driven 3D Body Animation via Disentangled Latent Diffusion
• Efficient 3D Implicit Head Avatar with Mesh-anchored Hash Table Blendshapes
• Point2CAD: Reverse Engineering CAD Models from 3D Point Clouds
• NRDF: Neural Riemannian Distance Fields for Learning Articulated Pose Priors
• Scaling Up Dynamic Human-Scene Interaction Modeling
• GenesisTex: Adapting Image Denoising Diffusion to Texture Space
• Spectral Meets Spatial: Harmonising 3D Shape Matching and Interpolation
• PartDistill: 3D Shape Part Segmentation by Vision-Language Model Distillation
• MatFuse: Controllable Material Generation with Diffusion Models
• Egocentric Whole-Body Motion Capture with FisheyeViT and Diffusion-Based Motion Refinement
• Garment Recovery with Shape and Deformation Priors
• LPSNet: End-to-End Human Pose and Shape Estimation with Lensless Imaging
• Spherical Mask: Coarse-to-Fine 3D Point Cloud Instance Segmentation with Spherical Representation
• Holo-Relighting: Controllable Volumetric Portrait Relighting from a Single Image
• EMAGE: Towards Unified Holistic Co-Speech Gesture Generation via Expressive Masked Audio Gesture Modeling
• Blur-aware Spatio-temporal Sparse Transformer for Video Deblurring
• Single-to-Dual-View Adaptation for Egocentric 3D Hand Pose Estimation
• UltrAvatar: A Realistic Animatable 3D Avatar Diffusion Model with Authenticity Guided Textures
• Putting the Object Back into Video Object Segmentation
• Unlocking the Potential of Pre-trained Vision Transformers for Few-Shot Semantic Segmentation through Relationship Descriptors
• RAM-Avatar: Real-time Photo-Realistic Avatar from Monocular Videos with Full-body Control
• Misalignment-Robust Frequency Distribution Loss for Image Transformation
• Programmable Motion Generation for Open-Set Motion Control Tasks
• RELI11D: A Comprehensive Multimodal Human Motion Dataset and Method
• Person-in-WiFi 3D: End-to-End Multi-Person 3D Pose Estimation with Wi-Fi
• Can Language Beat Numerical Regression? Language-Based Multimodal Trajectory Prediction
• Open3DIS: Open-Vocabulary 3D Instance Segmentation with 2D Mask Guidance
• Relightable Gaussian Codec Avatars
• Arbitrary Motion Style Transfer with Multi-condition Motion Latent Diffusion Model
• From Audio to Photoreal Embodiment: Synthesizing Humans in Conversations
• SyncTalk: The Devil is in the Synchronization for Talking Head Synthesis
• Depth Information Assisted Collaborative Mutual Promotion Network for Single Image Dehazing
• USE: Universal Segment Embeddings for Open-Vocabulary Image Segmentation
• High-Quality Facial Geometry and Appearance Capture at Home
• HOIAnimator: Generating Text-prompt Human-object Animations using Novel Perceptive Diffusion Models
• Emergent Open-Vocabulary Semantic Segmentation from Off-the-shelf Vision-Language Models
• SD2Event:Self-supervised Learning of Dynamic Detectors and Contextual Descriptors for Event Cameras
• HOI-M^3: Capture Multiple Humans and Objects Interaction within Contextual Environment
• RecDiffusion: Rectangling for Image Stitching with Diffusion Models
• Learn to Rectify the Bias of CLIP for Unsupervised Semantic Segmentation
• PIE-NeRF: Physics-based Interactive Elastodynamics with NeRF
• XCube: Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchies
• No Time to Train: Empowering Non-Parametric Networks for Few-shot 3D Scene Segmentation
• HIT: Estimating Internal Human Implicit Tissues from the Body Surface
• RankED: Addressing Imbalance and Uncertainty in Edge Detection Using Ranking-based Losses
• EAGLE: Eigen Aggregation Learning for Object-Centric Unsupervised Semantic Segmentation
• ChatPose: Chatting about 3D Human Pose
• PEGASUS: Personalized Generative 3D Avatars with Composable Attributes
• Retrieval-Augmented Layout Transformer for Content-Aware Layout Generation
• Relightable and Animatable Neural Avatar from Sparse-View Video
• ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt Tuning
• Unsupervised Gaze Representation Learning from Multi-view Face Images
• A Unified Framework for Human-centric Point Cloud Video Understanding
• KITRO: Refining Human Mesh by 2D Clues and Kinematic-tree Rotation
• PFStorer: Personalized Face Restoration and Super-Resolution
• MoSAR: Monocular Semi-Supervised Model for Avatar Reconstruction using Differentiable Shading
• Real-Time Exposure Correction via Collaborative Transformations and Adaptive Sampling
• HUGS: Human Gaussian Splats
• 3D Face Tracking from 2D Video through Iterative Dense UV to Image Flow
• Deciphering ‘What’ and ‘Where’ Visual Pathways from Spectral Clustering of Layer-Distributed Neural Representations
• Vanishing-Point-Guided Video Semantic Segmentation of Driving Scenes
• AvatarGPT: All-in-One Framework for Motion Understanding Planning Generation and Beyond
• Degrees of Freedom Matter: Inferring Dynamics from Point Trajectories
• As-Plausible-As-Possible: Plausibility-Aware Mesh Deformation Using 2D Diffusion Priors
• Diff-Plugin: Revitalizing Details for Diffusion-based Low-level Tasks
• Unsupervised Salient Instance Detection
• MeshPose: Unifying DensePose and 3D Body Mesh Reconstruction
• SelfPose3d: Self-Supervised Multi-Person Multi-View 3d Pose Estimation
• DiffHuman: Probabilistic Photorealistic 3D Reconstruction of Humans
• Semantic-aware SAM for Point-Prompted Instance Segmentation
• One-Shot Open Affordance Learning with Foundation Models
• Monocular Identity-Conditioned Facial Reflectance Reconstruction
• RobustSAM: Segment Anything Robustly on Degraded Images
• Confronting Ambiguity in 6D Object Pose Estimation via Score-Based Diffusion on SE(3)
• Self-Supervised Facial Representation Learning with Facial Region Awareness
• Towards Robust Event-guided Low-Light Image Enhancement: A Large-Scale Real-World Event-Image Dataset and Novel Approach
• 3D Facial Expressions through Analysis-by-Neural-Synthesis
• LiveHPS: LiDAR-based Scene-level Human Pose and Shape Estimation in Free Environment
• Rethinking Interactive Image Segmentation with Low Latency High Quality and Diverse Prompts
• Hierarchical Histogram Threshold Segmentation – Auto-terminating High-detail Oversegmentation
• Image Sculpting: Precise Object Editing with 3D Geometry Control
• FMA-Net: Flow-Guided Dynamic Filtering and Iterative Feature Refinement with Multi-Attention for Joint Video Super-Resolution and Deblurring
• Functional Diffusion
• Unleashing the Potential of SAM for Medical Adaptation via Hierarchical Decoding
• From Activation to Initialization: Scaling Insights for Optimizing Neural Fields
• Objects as Volumes: A Stochastic Geometry View of Opaque Solids
• Residual Denoising Diffusion Models
• LAFS: Landmark-based Facial Self-supervised Learning for Face Recognition
• Hybrid Functional Maps for Crease-Aware Non-Isometric Shape Matching
• Text2HOI: Text-guided 3D Motion Generation for Hand-Object Interaction
• PoNQ: a Neural QEM-based Mesh Representation
• Holoported Characters: Real-time Free-viewpoint Rendering of Humans from Sparse RGB Cameras
• ASH: Animatable Gaussian Splats for Efficient and Photoreal Human Rendering
• Task-aligned Part-aware Panoptic Segmentation through Joint Object-Part Representations
• URHand: Universal Relightable Hands
• Learned Scanpaths Aid Blind Panoramic Video Quality Assessment
• Bidirectional Autoregessive Diffusion Model for Dance Generation
• DiffAvatar: Simulation-Ready Garment Optimization with Differentiable Simulation
• CAD-SIGNet: CAD Language Inference from Point Clouds using Layer-wise Sketch Instance Guided Attention
• PTM-VQA: Efficient Video Quality Assessment Leveraging Diverse PreTrained Models from the Wild
• Gradient Alignment for Cross-Domain Face Anti-Spoofing
• Paint-it: Text-to-Texture Synthesis via Deep Convolutional Texture Map Optimization and Physically-Based Rendering
• TextureDreamer: Image-Guided Texture Synthesis Through Geometry-Aware Diffusion
• Upscale-A-Video: Temporal-Consistent Diffusion Model for Real-World Video Super-Resolution
• Multimodal Sense-Informed Forecasting of 3D Human Motions
• M&M VTO: Multi-Garment Virtual Try-On and Editing
• MFP: Making Full Use of Probability Maps for Interactive Image Segmentation
• Separate and Conquer: Decoupling Co-occurrence via Decomposition and Representation for Weakly Supervised Semantic Segmentation
• Learning Spatial Adaptation and Temporal Coherence in Diffusion Models for Video Super-Resolution
• Identifying Important Group of Pixels using Interactions
• MaskPLAN: Masked Generative Layout Planning from Partial Input
• Emu Edit: Precise Image Editing via Recognition and Generation Tasks
• Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models
• Generating Non-Stationary Textures using Self-Rectification
• Data-Free Quantization via Pseudo-label Filtering
• MaskINT: Video Editing via Interpolative Non-autoregressive Masked Transformers
• HumanGaussian: Text-Driven 3D Human Generation with Gaussian Splatting
• IReNe: Instant Recoloring of Neural Radiance Fields
• Pose Adapted Shape Learning for Large-Pose Face Reenactment
• Open-Vocabulary Attention Maps with Token Optimization for Semantic Segmentation in Diffusion Models
• Content-Style Decoupling for Unsupervised Makeup Transfer without Generating Pseudo Ground Truth
• Adaptive Multi-Modal Cross-Entropy Loss for Stereo Matching
• MR-VNet: Media Restoration using Volterra Networks
• Readout Guidance: Learning Control from Diffusion Features
• Layout-Agnostic Scene Text Image Synthesis with Diffusion Models
• DiffMorpher: Unleashing the Capability of Diffusion Models for Image Morphing
• Rethinking the Objectives of Vector-Quantized Tokenizers for Image Synthesis
• AEROBLADE: Training-Free Detection of Latent Diffusion Images Using Autoencoder Reconstruction Error
• Learning Degradation-unaware Representation with Prior-based Latent Transformations for Blind Face Restoration
• Geometry Transfer for Stylizing Radiance Fields
• Scaling Laws of Synthetic Images for Model Training ... for Now
• SHViT: Single-Head Vision Transformer with Memory Efficient Macro Design
• Unsupervised Template-assisted Point Cloud Shape Correspondence Network
• Unmixing Before Fusion: A Generalized Paradigm for Multi-Source-based Hyperspectral Image Synthesis
• WOUAF: Weight Modulation for User Attribution and Fingerprinting in Text-to-Image Diffusion Models
• Mixed-Precision Quantization for Federated Learning on Resource-Constrained Heterogeneous Devices
• DITTO: Dual and Integrated Latent Topologies for Implicit 3D Reconstruction
• Doubly Abductive Counterfactual Inference for Text-based Image Editing
• Text2QR: Harmonizing Aesthetic Customization and Scanning Robustness for Text-Guided QR Code Generation
• Panacea: Panoramic and Controllable Video Generation for Autonomous Driving
• PAIR Diffusion: A Comprehensive Multimodal Object-Level Image Editor
• REACTO: Reconstructing Articulated Objects from a Single Video
• Fairy: Fast Parallelized Instruction-Guided Video-to-Video Synthesis
• NoiseCollage: A Layout-Aware Text-to-Image Diffusion Model Based on Noise Cropping and Merging
• Diversity-aware Channel Pruning for StyleGAN Compression
• Improving Subject-Driven Image Synthesis with Subject-Agnostic Guidance
• Steerers: A Framework for Rotation Equivariant Keypoint Descriptors
• PIA: Your Personalized Image Animator via Plug-and-Play Modules in Text-to-Image Models
• Diffusion Handles Enabling 3D Edits for Diffusion Models by Lifting Activations to 3D
• VideoSwap: Customized Video Subject Swapping with Interactive Semantic Point Correspondence
• Intelligent Grimm - Open-ended Visual Storytelling via Latent Diffusion Models
• Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks
• SwiftBrush: One-Step Text-to-Image Diffusion Model with Variational Score Distillation
• Structure Matters: Tackling the Semantic Discrepancy in Diffusion Models for Image Inpainting
• DiffusionAvatars: Deferred Diffusion for High-fidelity 3D Head Avatars
• Exact Fusion via Feature Distribution Matching for Few-shot Image Generation
• VMC: Video Motion Customization using Temporal Attention Adaption for Text-to-Video Diffusion Models
• LightIt: Illumination Modeling and Control for Diffusion Models
• GreedyViG: Dynamic Axial Graph Construction for Efficient Vision GNNs
• Sparse Semi-DETR: Sparse Learnable Queries for Semi-Supervised Object Detection
• PICTURE: PhotorealistIC virtual Try-on from UnconstRained dEsigns
• Single Mesh Diffusion Models with Field Latents for Texture Generation
• NeRF On-the-go: Exploiting Uncertainty for Distractor-free NeRFs in the Wild
• Fitting Flats to Flats
• LAENeRF: Local Appearance Editing for Neural Radiance Fields
• Contrastive Denoising Score for Text-guided Latent Diffusion Image Editing
• Prompt Augmentation for Self-supervised Text-guided Image Manipulation
• FaceChain-SuDe: Building Derived Class to Inherit Category Attributes for One-shot Subject-Driven Generation
• Universal Robustness via Median Randomized Smoothing for Real-World Super-Resolution
• Your Image is My Video: Reshaping the Receptive Field via Image-To-Video Differentiable AutoAugmentation and Fusion
• VidToMe: Video Token Merging for Zero-Shot Video Editing
• SD-DiT: Unleashing the Power of Self-supervised Discrimination in Diffusion Transformer
• SIGNeRF: Scene Integrated Generation for Neural Radiance Fields
• FedUV: Uniformity and Variance for Heterogeneous Federated Learning
• Permutation Equivariance of Transformers and Its Applications
• LeftRefill: Filling Right Canvas based on Left Reference through Generalized Text-to-Image Diffusion Model
• Denoising Point Clouds in Latent Space via Graph Convolution and Invertible Neural Network
• Towards 3D Vision with Low-Cost Single-Photon Cameras
• Dysen-VDM: Empowering Dynamics-aware Text-to-Video Diffusion with LLMs
• Fast ODE-based Sampling for Diffusion Models in Around 5 Steps
• DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image Editing
• Continuous Pose for Monocular Cameras in Neural Implicit Representation
• Local-consistent Transformation Learning for Rotation-invariant Point Cloud Analysis
• InteractDiffusion: Interaction Control in Text-to-Image Diffusion Models
• Observation-Guided Diffusion Probabilistic Models
• Drag Your Noise: Interactive Point-based Editing via Diffusion Semantic Propagation
• Carve3D: Improving Multi-view Reconstruction Consistency for Diffusion Models with RL Finetuning
• DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models
• Grid Diffusion Models for Text-to-Video Generation
• InstructVideo: Instructing Video Diffusion Models with Human Feedback
• TextCraftor: Your Text Encoder Can be Image Quality Controller
• FRESCO: Spatial-Temporal Correspondence for Zero-Shot Video Translation
• HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models
• In-N-Out: Faithful 3D GAN Inversion with Volumetric Decomposition for Face Editing
• Neural Lineage
• Exploiting Diffusion Prior for Generalizable Dense Prediction
• GenHowTo: Learning to Generate Actions and State Transformations from Instructional Videos
• Style Aligned Image Generation via Shared Attention
• NC-TTT: A Noise Constrastive Approach for Test-Time Training
• Learning Continuous 3D Words for Text-to-Image Generation
• MRFP: Learning Generalizable Semantic Segmentation from Sim-2-Real with Multi-Resolution Feature Perturbation
• Don't Look into the Dark: Latent Codes for Pluralistic Image Inpainting
• Training-Free Pretrained Model Merging
• A Recipe for Scaling up Text-to-Video Generation with Text-free Videos
• CCEdit: Creative and Controllable Video Editing via Diffusion Models
• Focus on Your Instruction: Fine-grained and Multi-instruction Image Editing by Attention Modulation
• Mitigating Motion Blur in Neural Radiance Fields with Events and Frames
• AnyDoor: Zero-shot Object-level Image Customization
• Making Vision Transformers Truly Shift-Equivariant
• Leveraging Camera Triplets for Efficient and Accurate Structure-from-Motion
• Video-P2P: Video Editing with Cross-attention Control
• SportsSloMo: A New Benchmark and Baselines for Human-centric Video Frame Interpolation
• DreamVideo: Composing Your Dream Videos with Customized Subject and Motion
• Texture-Preserving Diffusion Models for High-Fidelity Virtual Try-On
• AirPlanes: Accurate Plane Estimation via 3D-Consistent Embeddings
• Learned Representation-Guided Diffusion Models for Large-Image Generation
• WonderJourney: Going from Anywhere to Everywhere
• Faces that Speak: Jointly Synthesising Talking Face and Speech from Text
• Personalized Residuals for Concept-Driven Text-to-Image Generation
• A Video is Worth 256 Bases: Spatial-Temporal Expectation-Maximization Inversion for Zero-Shot Video Editing
• Dancing with Still Images: Video Distillation via Static-Dynamic Disentanglement
• AdaShift: Learning Discriminative Self-Gated Neural Feature Activation With an Adaptive Shift Factor
• Gaussian Shell Maps for Efficient 3D Human Generation
• Matching 2D Images in 3D: Metric Relative Pose from Metric Correspondences
• Accurate Training Data for Occupancy Map Prediction in Automated Driving Using Evidence Theory
• InstantBooth: Personalized Text-to-Image Generation without Test-Time Finetuning
• StegoGAN: Leveraging Steganography for Non-Bijective Image-to-Image Translation
• Cache Me if You Can: Accelerating Diffusion Models through Block Caching
• Training Generative Image Super-Resolution Models by Wavelet-Domain Losses Enables Better Control of Artifacts
• Towards Understanding Cross and Self-Attention in Stable Diffusion for Text-Guided Image Editing
• Instruct-Imagen: Image Generation with Multi-modal Instruction
• Style Injection in Diffusion: A Training-free Approach for Adapting Large-scale Diffusion Models for Style Transfer
• CDFormer: When Degradation Prediction Embraces Diffusion Model for Blind Image Super-Resolution
• Boosting Diffusion Models with Moving Average Sampling in Frequency Domain
• Tackling the Singularities at the Endpoints of Time Intervals in Diffusion Models
• StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On
• Towards Memorization-Free Diffusion Models
• Towards Effective Usage of Human-Centric Priors in Diffusion Models for Text-based Human Image Generation
• RNb-NeuS: Reflectance and Normal-based Multi-View 3D Reconstruction
• MotionEditor: Editing Video Motion via Content-Aware Diffusion
• Face2Diffusion for Fast and Editable Face Personalization
• Generative Unlearning for Any Identity
• DreamComposer: Controllable 3D Object Generation via Multi-View Conditions
• Deformable One-shot Face Stylization via DINO Semantic Guidance
• 2S-UDF: A Novel Two-stage UDF Learning Method for Robust Non-watertight Model Reconstruction from Multi-view Images
• SNED: Superposition Network Architecture Search for Efficient Video Diffusion Model
• FSRT: Facial Scene Representation Transformer for Face Reenactment from Factorized Appearance Head-pose and Facial Expression Features
• GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models
• 3D Multi-frame Fusion for Video Stabilization
• In Search of a Data Transformation That Accelerates Neural Field Training
• Neural Point Cloud Diffusion for Disentangled 3D Shape and Appearance Generation
• Space-Time Diffusion Features for Zero-Shot Text-Driven Motion Transfer
• CAT-DM: Controllable Accelerated Virtual Try-on with Diffusion Model
• TeTriRF: Temporal Tri-Plane Radiance Fields for Efficient Free-Viewpoint Video
• Named Entity Driven Zero-Shot Image Manipulation
• PRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Models
• Transcending Forgery Specificity with Latent Space Augmentation for Generalizable Deepfake Detection
• Orthogonal Adaptation for Modular Customization of Diffusion Models
• SSR-Encoder: Encoding Selective Subject Representation for Subject-Driven Generation
• Concept Weaver: Enabling Multi-Concept Fusion in Text-to-Image Models
• RAVE: Randomized Noise Shuffling for Fast and Consistent Video Editing with Diffusion Models
• TRIP: Temporal Residual Learning with Image Noise Prior for Image-to-Video Diffusion Models
• Intrinsic Image Diffusion for Indoor Single-view Material Estimation
• Generating Illustrated Instructions
• Anomaly Score: Evaluating Generative Models and Individual Generated Images based on Complexity and Vulnerability
• Clockwork Diffusion: Efficient Generation With Model-Step Distillation
• LiDAR4D: Dynamic Neural Fields for Novel Space-time View LiDAR Synthesis
• VAREN: Very Accurate and Realistic Equine Network
• Condition-Aware Neural Network for Controlled Image Generation
• It's All About Your Sketch: Democratising Sketch Control in Diffusion Models
• Time- Memory- and Parameter-Efficient Visual Adaptation
• MedBN: Robust Test-Time Adaptation against Malicious Test Samples
• Snap Video: Scaled Spatiotemporal Transformers for Text-to-Video Synthesis
• Your Student is Better Than Expected: Adaptive Teacher-Student Collaboration for Text-Conditional Diffusion Models
• CAMEL: CAusal Motion Enhancement Tailored for Lifting Text-driven Video Editing
• OmniLocalRF: Omnidirectional Local Radiance Fields from Dynamic Videos
• Friendly Sharpness-Aware Minimization
• DanceCamera3D: 3D Camera Movement Synthesis with Music and Dance
• LucidDreamer: Towards High-Fidelity Text-to-3D Generation via Interval Score Matching
• TiNO-Edit: Timestep and Noise Optimization for Robust Diffusion-Based Image Editing
• MVIP-NeRF: Multi-view 3D Inpainting on NeRF Scenes via Diffusion Prior
• Low-Latency Neural Stereo Streaming
• VideoBooth: Diffusion-based Video Generation with Image Prompts
• TI2V-Zero: Zero-Shot Image Conditioning for Text-to-Video Diffusion Models
• Multimodal Pathway: Improve Transformers with Irrelevant Data from Other Modalities
• Learning Structure-from-Motion with Graph Attention Networks
• AVID: Any-Length Video Inpainting with Diffusion Model
• Generalizable Novel-View Synthesis using a Stereo Camera
• Grounded Text-to-Image Synthesis with Attention Refocusing
• TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Analysis
• Seeing the World through Your Eyes
• Geometry-aware Reconstruction and Fusion-refined Rendering for Generalizable Neural Radiance Fields
• Beyond Textual Constraints: Learning Novel Diffusion Conditions with Fewer Examples
• Rethinking the Spatial Inconsistency in Classifier-Free Diffusion Guidance
• 4D-fy: Text-to-4D Generation Using Hybrid Score Distillation Sampling
• AnyScene: Customized Image Synthesis with Composited Foreground
• FlowerFormer: Empowering Neural Architecture Encoding using a Flow-aware Graph Transformer
• Prompting Hard or Hardly Prompting: Prompt Inversion for Text-to-Image Diffusion Models
• ControlRoom3D: Room Generation using Semantic Proxy Rooms
• Robust Self-calibration of Focal Lengths from the Fundamental Matrix
• Correcting Diffusion Generation through Resampling
• Ranni: Taming Text-to-Image Diffusion for Accurate Instruction Following
• AZ-NAS: Assembling Zero-Cost Proxies for Network Architecture Search
• YolOOD: Utilizing Object Detection Concepts for Multi-Label Out-of-Distribution Detection
• Hierarchical Patch Diffusion Models for High-Resolution Video Generation
• GenN2N: Generative NeRF2NeRF Translation
• SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering
• CosmicMan: A Text-to-Image Foundation Model for Humans
• Sat2Scene: 3D Urban Scene Generation from Satellite Images with Diffusion
• SuperPrimitive: Scene Reconstruction at a Primitive Level
• ZeroNVS: Zero-Shot 360-Degree View Synthesis from a Single Image
• HEAL-SWIN: A Vision Transformer On The Sphere
• VecFusion: Vector Font Generation with Diffusion
• StyleCineGAN: Landscape Cinemagraph Generation using a Pre-trained StyleGAN
• The Devil is in the Details: StyleFeatureEditor for Detail-Rich StyleGAN Inversion and High Quality Image Editing
• Portrait4D: Learning One-Shot 4D Head Avatar Synthesis using Synthetic Data
• Vlogger: Make Your Dream A Vlog
• Text-Driven Image Editing via Learnable Regions
• ANIM: Accurate Neural Implicit Model for Human Reconstruction from a single RGB-D Image
• Mean-Shift Feature Transformer
• KPConvX: Modernizing Kernel Point Convolution with Kernel Attention
• FreeControl: Training-Free Spatial Control of Any Text-to-Image Diffusion Model with Any Condition
• DyBluRF: Dynamic Neural Radiance Fields from Blurry Monocular Video
• State Space Models for Event Cameras
• Relightful Harmonization: Lighting-aware Portrait Background Replacement
• Revisiting Sampson Approximations for Geometric Estimation Problems
• SurMo: Surface-based 4D Motion Modeling for Dynamic Human Rendering
• InceptionNeXt: When Inception Meets ConvNeXt
• Wired Perspectives: Multi-View Wire Art Embraces Generative AI
• CHAIN: Enhancing Generalization in Data-Efficient GANs via lipsCHitz continuity constrAIned Normalization
• Video Interpolation with Diffusion Models
• GeneAvatar: Generic Expression-Aware Volumetric Head Avatar Editing from a Single Image
• JeDi: Joint-Image Diffusion Models for Finetuning-Free Personalized Text-to-Image Generation
• LTM: Lightweight Textured Mesh Extraction and Refinement of Large Unbounded Scenes for Efficient Storage and Real-time Rendering
• Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model
• DiffSHEG: A Diffusion-Based Approach for Real-Time Speech-driven Holistic 3D Expression and Gesture Generation
• On Exact Inversion of DPM-Solvers
• Total Selfie: Generating Full-Body Selfies
• DaReNeRF: Direction-aware Representation for Dynamic Scenes
• Improving Physics-Augmented Continuum Neural Radiance Field-Based Geometry-Agnostic System Identification with Lagrangian Particle Optimization
• DreamControl: Control-Based Text-to-3D Generation with 3D Self-Prior
• Self-correcting LLM-controlled Diffusion Models
• DreamMatcher: Appearance Matching Self-Attention for Semantically-Consistent Text-to-Image Personalization
• Language-driven Object Fusion into Neural Radiance Fields with Pose-Conditioned Dataset Updates
• Building Optimal Neural Architectures using Interpretable Knowledge
• A&B BNN: Add&Bit-Operation-Only Hardware-Friendly Binary Neural Network
• SCEdit: Efficient and Controllable Image Diffusion Generation via Skip Connection Editing
• Person in Place: Generating Associative Skeleton-Guidance Maps for Human-Object Interaction Image Editing
• You Only Need Less Attention at Each Stage in Vision Transformers
• Efficient Detection of Long Consistent Cycles and its Application to Distributed Synchronization
• HOIDiffusion: Generating Realistic 3D Hand-Object Interaction Data
• Towards Accurate and Robust Architectures via Neural Architecture Search
• Coarse-to-Fine Latent Diffusion for Pose-Guided Person Image Synthesis
• FreeU: Free Lunch in Diffusion U-Net
• Don’t Drop Your Samples! Coherence-Aware Training Benefits Conditional Diffusion
• ConsistNet: Enforcing 3D Consistency for Multi-view Images Diffusion
• Dynamic Policy-Driven Adaptive Multi-Instance Learning for Whole Slide Image Classification
• Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation
• PLACE: Adaptive Layout-Semantic Fusion for Semantic Image Synthesis
• Predicated Diffusion: Predicate Logic-Based Attention Guidance for Text-to-Image Diffusion Models
• Generate Like Experts: Multi-Stage Font Generation by Incorporating Font Transfer Process into Diffusion Models
• ViewDiff: 3D-Consistent Image Generation with Text-to-Image Models
• 3DGS-Avatar: Animatable Avatars via Deformable 3D Gaussian Splatting
• Balancing Act: Distribution-Guided Debiasing in Diffusion Models
• SpikeNeRF: Learning Neural Radiance Fields from Continuous Spike Stream
• Customization Assistant for Text-to-Image Generation
• 3D Geometry-Aware Deformable Gaussian Splatting for Dynamic View Synthesis
• Spacetime Gaussian Feature Splatting for Real-Time Dynamic View Synthesis
• One-Shot Structure-Aware Stylized Image Synthesis
• Puff-Net: Efficient Style Transfer with Pure Content and Style Feature Fusion Network
• Customize your NeRF: Adaptive Source Driven 3D Scene Editing via Local-Global Iterative Training
• Relation Rectification in Diffusion Model
• Template Free Reconstruction of Human-object Interaction with Procedural Interaction Generation
• Long-Tailed Anomaly Detection with Learnable Class Names
• Boosting Object Detection with Zero-Shot Day-Night Domain Adaptation
• Learning Occupancy for Monocular 3D Object Detection
• PatchFusion: An End-to-End Tile-Based Framework for High-Resolution Monocular Metric Depth Estimation
• Bootstrapping Chest CT Image Understanding by Distilling Knowledge from X-ray Expert Models
• ZePT: Zero-Shot Pan-Tumor Segmentation via Query-Disentangling and Self-Prompting
• MRC-Net: 6-DoF Pose Estimation with MultiScale Residual Correlation
• Explaining the Implicit Neural Canvas: Connecting Pixels to Neurons by Tracing their Contributions
• Learning Triangular Distribution in Visual World
• Depth Prompting for Sensor-Agnostic Depth Estimation
• NeRFDeformer: NeRF Transformation from a Single View via 3D Scene Flows
• Understanding Video Transformers via Universal Concept Discovery
• EscherNet: A Generative Model for Scalable View Synthesis
• Beyond Seen Primitive Concepts and Attribute-Object Compositional Learning
• Decoupling Static and Hierarchical Motion Perception for Referring Video Segmentation
• Weakly Supervised Monocular 3D Detection with a Single-View Image
• A Stealthy Wrongdoer: Feature-Oriented Reconstruction Attack against Split Learning
• Modality-agnostic Domain Generalizable Medical Image Segmentation by Multi-Frequency in Multi-Scale Attention
• Efficient Test-Time Adaptation of Vision-Language Models
• FairRAG: Fair Human Generation via Fair Retrieval Augmentation
• HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data
• SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities
• Open3DSG: Open-Vocabulary 3D Scene Graphs from Point Clouds with Queryable Objects and Open-Set Relationships
• CPLIP: Zero-Shot Learning for Histopathology with Comprehensive Vision-Language Alignment
• Explaining CLIP's Performance Disparities on Data from Blind/Low Vision Users
• OpenBias: Open-set Bias Detection in Text-to-Image Generative Models
• Compositional Chain-of-Thought Prompting for Large Multimodal Models
• Behind the Veil: Enhanced Indoor 3D Scene Reconstruction with Occluded Surfaces Completion
• MuseChat: A Conversational Music Recommendation System for Videos
• ViewFusion: Towards Multi-View Consistency via Interpolated Denoising
• DRESS: Instructing Large Vision-Language Models to Align and Interact with Humans via Natural Language Feedback
• HandBooster: Boosting 3D Hand-Mesh Reconstruction by Conditional Synthesis and Sampling of Hand-Object Interactions
• HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields
• CrowdDiff: Multi-hypothesis Crowd Density Estimation using Diffusion Models
• VTimeLLM: Empower LLM to Grasp Video Moments
• MICap: A Unified Model for Identity-Aware Movie Descriptions
• Structured Gradient-based Interpretations via Norm-Regularized Adversarial Training
• SketchINR: A First Look into Sketches as Implicit Neural Representations
• 6D-Diff: A Keypoint Diffusion Framework for 6D Object Pose Estimation
• Referring Image Editing: Object-level Image Editing via Referring Expressions
• SocialCounterfactuals: Probing and Mitigating Intersectional Social Biases in Vision-Language Models with Counterfactual Examples
• SAOR: Single-View Articulated Object Reconstruction
• RegionGPT: Towards Region Understanding Vision Language Model
• AttriHuman-3D: Editable 3D Human Avatar Generation with Attribute Decomposition and Indexing
• The Manga Whisperer: Automatically Generating Transcriptions for Comics
• VOODOO 3D: Volumetric Portrait Disentanglement For One-Shot 3D Head Reenactment
• Physics-guided Shape-from-Template: Monocular Video Perception through Neural Surrogate Models
• Previously on ... From Recaps to Story Summarization
• See Say and Segment: Teaching LMMs to Overcome False Premises
• Multi-Modal Hallucination Control by Visual Information Grounding
• 3DFIRES: Few Image 3D REconstruction for Scenes with Hidden Surfaces
• Koala: Key Frame-Conditioned Long Video-LLM
• Prompting Vision Foundation Models for Pathology Image Analysis
• A Unified Framework for Microscopy Defocus Deblur with Multi-Pyramid Transformer and Contrastive Learning
• E-GPS: Explainable Geometry Problem Solving via Top-Down Solver and Bottom-Up Generator
• HiPose: Hierarchical Binary Surface Encoding and Correspondence Pruning for RGB-D 6DoF Object Pose Estimation
• SleepVST: Sleep Staging from Near-Infrared Video Signals using Pre-Trained Transformers
• Correlation-aware Coarse-to-fine MLPs for Deformable Medical Image Registration
• Tumor Micro-environment Interactions Guided Graph Learning for Survival Analysis of Human Cancers from Whole-slide Pathological Images
• An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning
• Token Transformation Matters: Towards Faithful Post-hoc Explanation for Vision Transformer
• MonoCD: Monocular 3D Object Detection with Complementary Depths
• Versatile Medical Image Segmentation Learned from Multi-Source Datasets via Model Self-Disambiguation
• VS: Reconstructing Clothed 3D Human from Single Image via Vertex Shift
• Rethinking Inductive Biases for Surface Normal Estimation
• ConTex-Human: Free-View Rendering of Human from a Single Image with Texture-Consistent Synthesis
• Masked Autoencoders for Microscopy are Scalable Learners of Cellular Biology
• Enhancing Intrinsic Features for Debiasing via Investigating Class-Discerning Common Attributes in Bias-Contrastive Pair
• Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts
• Visual Program Distillation: Distilling Tools and Programmatic Reasoning into Vision-Language Models
• Neural Parametric Gaussians for Monocular Non-Rigid Object Reconstruction
• Multi-Modal Proxy Learning Towards Personalized Visual Multiple Clustering
• Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration
• Unleashing Network Potentials for Semantic Scene Completion
• Continual Self-supervised Learning: Towards Universal Multi-modal Medical Data Representation Learning
• Zero-shot Referring Expression Comprehension via Structural Similarity Between Images and Captions
• Physical Backdoor: Towards Temperature-based Backdoor Attacks in the Physical World
• CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation
• Honeybee: Locality-enhanced Projector for Multimodal LLM
• A Simple Recipe for Contrastively Pre-training Video-First Encoders Beyond 16 Frames
• Differentiable Display Photometric Stereo
• Quilt-LLaVA: Visual Instruction Tuning by Extracting Localized Narratives from Open-Source Histopathology Videos
• Learning Large-Factor EM Image Super-Resolution with Generative Priors
• Comparing the Decision-Making Mechanisms by Transformers and CNNs via Explanation Methods
• Tune-An-Ellipse: CLIP Has Potential to Find What You Want
• Doodle Your 3D: From Abstract Freehand Sketches to Precise 3D Shapes
• Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image Segmentation
• 3D-LFM: Lifting Foundation Model
• Unsupervised 3D Structure Inference from Category-Specific Image Collections
• Tyche: Stochastic In-Context Learning for Medical Image Segmentation
• Towards Better Vision-Inspired Vision-Language Models
• SeaBird: Segmentation in Bird’s View with Dice Loss Improves Monocular 3D Detection of Large Objects
• UniDepth: Universal Monocular Metric Depth Estimation
• CAD: Photorealistic 3D Generation via Adversarial Distillation
• GeoReF: Geometric Alignment Across Shape Variation for Category-level Object Pose Refinement
• Intraoperative 2D/3D Image Registration via Differentiable X-ray Rendering
• Model Inversion Robustness: Can Transfer Learning Help?
• Instance-aware Contrastive Learning for Occluded Human Mesh Reconstruction
• DiffPortrait3D: Controllable Diffusion for Zero-Shot Portrait View Synthesis
• Navigate Beyond Shortcuts: Debiased Learning Through the Lens of Neural Collapse
• Diffusion Reflectance Map: Single-Image Stochastic Inverse Rendering of Illumination and Reflectance
• Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline
• Alpha-CLIP: A CLIP Model Focusing on Wherever You Want
• EventPS: Real-Time Photometric Stereo Using an Event Camera
• Validating Privacy-Preserving Face Recognition under a Minimum Assumption
• SignGraph: A Sign Sequence is Worth Graphs of Nodes
• Know Your Neighbors: Improving Single-View Reconstruction via Spatial Vision-Language Reasoning
• MiKASA: Multi-Key-Anchor & Scene-Aware Transformer for 3D Visual Grounding
• Hearing Anything Anywhere
• Fair-VPT: Fair Visual Prompt Tuning for Image Classification
• Towards Efficient Replay in Federated Incremental Learning
• Label-Efficient Group Robustness via Out-of-Distribution Concept Curation
• Diversified and Personalized Multi-rater Medical Image Segmentation
• BiTT: Bi-directional Texture Reconstruction of Interacting Two Hands from a Single Image
• SCoFT: Self-Contrastive Fine-Tuning for Equitable Image Generation
• HiLo: Detailed and Robust 3D Clothed Human Reconstruction with High-and Low-Frequency Information of Parametric Models
• Do Vision and Language Encoders Represent the World Similarly?
• DiffusionGAN3D: Boosting Text-guided 3D Generation and Domain Adaptation by Combining 3D GANs and Diffusion Priors
• LoSh: Long-Short Text Joint Prediction Network for Referring Video Object Segmentation
• Naturally Supervised 3D Visual Grounding with Language-Regularized Concept Learners
• EpiDiff: Enhancing Multi-View Synthesis via Localized Epipolar-Constrained Diffusion
• Facial Identity Anonymization via Intrinsic and Extrinsic Attention Distraction
• Panda-70M: Captioning 70M Videos with Multiple Cross-Modality Teachers
• Situational Awareness Matters in 3D Vision Language Reasoning
• Brush2Prompt: Contextual Prompt Generator for Object Inpainting
• MemSAM: Taming Segment Anything Model for Echocardiography Video Segmentation
• DiG-IN: Diffusion Guidance for Investigating Networks - Uncovering Classifier Differences Neuron Visualisations and Visual Counterfactual Explanations
• WorDepth: Variational Language Prior for Monocular Depth Estimation
• LaneCPP: Continuous 3D Lane Detection using Physical Priors
• Efficient Privacy-Preserving Visual Localization Using 3D Ray Clouds
• Dynamic Graph Representation with Knowledge-aware Attention for Histopathology Whole Slide Image Analysis
• Slice3D: Multi-Slice Occlusion-Revealing Single View 3D Reconstruction
• What Sketch Explainability Really Means for Downstream Tasks?
• FocusMAE: Gallbladder Cancer Detection from Ultrasound Videos with Focused Masked Autoencoders
• Visual Fact Checker: Enabling High-Fidelity Detailed Caption Generation
• Siamese Learning with Joint Alignment and Regression for Weakly-Supervised Video Paragraph Grounding
• CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data
• SEED-Bench: Benchmarking Multimodal Large Language Models
• MCPNet: An Interpretable Classifier via Multi-Level Concept Prototypes
• XFibrosis: Explicit Vessel-Fiber Modeling for Fibrosis Staging from Liver Pathology Images
• GROUNDHOG: Grounding Large Language Models to Holistic Segmentation
• PointInfinity: Resolution-Invariant Point Diffusion Models
• Learning by Correction: Efficient Tuning Task for Zero-Shot Generative Vision-Language Reasoning
• LQMFormer: Language-aware Query Mask Transformer for Referring Image Segmentation
• R-Cyclic Diffuser: Reductive and Cyclic Latent Diffusion for 3D Clothed Human Digitalization
• Revisiting Counterfactual Problems in Referring Expression Comprehension
• Visual Concept Connectome (VCC): Open World Concept Discovery and their Interlayer Connections in Deep Models
• Leak and Learn: An Attacker's Cookbook to Train Using Leaked Data from Federated Learning
• ProMark: Proactive Diffusion Watermarking for Causal Attribution
• Boosting Self-Supervision for Single-View Scene Completion via Knowledge Distillation
• NeRSP: Neural 3D Reconstruction for Reflective Objects with Sparse Polarized Images
• CNC-Net: Self-Supervised Learning for CNC Machining Operations
• Separating the "Chirp" from the "Chat": Self-supervised Visual Grounding of Sound and Language
• Language-only Training of Zero-shot Composed Image Retrieval
• In-distribution Public Data Synthesis with Diffusion Models for Differentially Private Image Classification
• Text-Image Alignment for Diffusion-Based Perception
• ExMap: Leveraging Explainability Heatmaps for Unsupervised Group Robustness to Spurious Correlations
• Plug-and-Play Diffusion Distillation
• Incorporating Geo-Diverse Knowledge into Prompting for Increased Geographical Robustness in Object Recognition
• CORES: Convolutional Response-based Score for Out-of-distribution Detection
• Joint Reconstruction of 3D Human and Object via Contact-Based Refinement Transformer
• WWW: A Unified Framework for Explaining What Where and Why of Neural Networks by Interpretation of Neuron Concepts
• Neural Underwater Scene Representation
• MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding
• Mind The Edge: Refining Depth Edges in Sparsely-Supervised Monocular Depth Estimation
• Global and Local Prompts Cooperation via Optimal Transport for Federated Learning
• On the Faithfulness of Vision Transformer Explanations
• The Unreasonable Effectiveness of Pre-Trained Features for Camera Pose Refinement
• Communication-Efficient Federated Learning with Accelerated Client Gradient
• Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models
• Sparse Views Near Light: A Practical Paradigm for Uncalibrated Point-light Photometric Stereo
• Decomposing Disease Descriptions for Enhanced Pathology Detection: A Multi-Aspect Vision-Language Pre-training Framework
• Towards Learning a Generalist Model for Embodied Navigation
• Bi-level Learning of Task-Specific Decoders for Joint Registration and One-Shot Medical Image Segmentation
• Incremental Residual Concept Bottleneck Models
• Unknown Prompt the only Lacuna: Unveiling CLIP's Potential for Open Domain Generalization
• V?: Guided Visual Search as a Core Mechanism in Multimodal LLMs
• Uncertainty Visualization via Low-Dimensional Posterior Projections
• The STVchrono Dataset: Towards Continuous Change Recognition in Time
• 3DToonify: Creating Your High-Fidelity 3D Stylized Avatar Easily from 2D Portrait Images
• Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Compositional Understanding
• Enhancing 3D Fidelity of Text-to-3D using Cross-View Correspondences
• Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image Segmentation
• RichDreamer: A Generalizable Normal-Depth Diffusion Model for Detail Richness in Text-to-3D
• FLHetBench: Benchmarking Device and State Heterogeneity in Federated Learning
• GenFlow: Generalizable Recurrent Flow for 6D Pose Refinement of Novel Objects
• Language Models as Black-Box Optimizers for Vision-Language Models
• Interpretable Measures of Conceptual Similarity by Complexity-Constrained Descriptive Auto-Encoding
• BT-Adapter: Video Conversation is Feasible Without Video Instruction Tuning
• VA3: Virtually Assured Amplification Attack on Probabilistic Copyright Protection for Text-to-Image Generative Models
• ScanFormer: Referring Expression Comprehension by Iteratively Scanning
• EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation
• PrPSeg: Universal Proposition Learning for Panoramic Renal Pathology Segmentation
• Steganographic Passport: An Owner and User Verifiable Credential for Deep Model IP Protection Without Retraining
• Discovering and Mitigating Visual Biases through Keyword Explanation
• Seg2Reg: Differentiable 2D Segmentation to 1D Regression Rendering for 360 Room Layout Reconstruction
• InstaGen: Enhancing Object Detection by Training on Synthetic Dataset
• FairDeDup: Detecting and Mitigating Vision-Language Fairness Disparities in Semantic Dataset Deduplication
• Building Vision-Language Models on Solid Foundations with Masked Distillation
• From-Ground-To-Objects: Coarse-to-Fine Self-supervised Monocular Depth Estimation of Dynamic Objects with Ground Contact Prior
• Posterior Distillation Sampling
• CoG-DQA: Chain-of-Guiding Learning with Large Language Models for Diagram Question Answering
• SNIFFER: Multimodal Large Language Model for Explainable Out-of-Context Misinformation Detection
• FairCLIP: Harnessing Fairness in Vision-Language Learning
• Weakly-Supervised Emotion Transition Learning for Diverse 3D Co-speech Gesture Generation
• Privacy-Preserving Optics for Enhancing Protection in Face De-Identification
• WateRF: Robust Watermarks in Radiance Fields for Protection of Copyrights
• VMINer: Versatile Multi-view Inverse Rendering with Near- and Far-field Light Sources
• ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual Prompts
• Data-Efficient Unsupervised Interpolation Without Any Intermediate Frame for 4D Medical Images
• Towards Language-Driven Video Inpainting via Multimodal Large Language Models
• Discontinuity-preserving Normal Integration with Auxiliary Edges
• Mining Supervision for Dynamic Regions in Self-Supervised Monocular Depth Estimation
• Would Deep Generative Models Amplify Bias in Future Models?
• SRTube: Video-Language Pre-Training with Action-Centric Video Tube Features and Semantic Role Labeling
• Dual-View Visual Contextualization for Web Navigation
• Deep Single Image Camera Calibration by Heatmap Regression to Recover Fisheye Images Under Manhattan World Assumption
• WildlifeMapper: Aerial Image Analysis for Multi-Species Detection and Identification
• Bayesian Differentiable Physics for Cloth Digitalization
• Pixel-Aligned Language Model
• Diffusion-driven GAN Inversion for Multi-Modal Face Image Generation
• CityDreamer: Compositional Generative Model of Unbounded 3D Cities
• Visual Objectification in Films: Towards a New AI Task for Video Interpretation
• A Theory of Joint Light and Heat Transport for Lambertian Scenes
• Cross-Dimension Affinity Distillation for 3D EM Neuron Segmentation
• Instance-level Expert Knowledge and Aggregate Discriminative Attention for Radiology Report Generation
• WALT3D: Generating Realistic Training Data from Time-Lapse Imagery for Reconstructing Dynamic Objects Under Occlusion
• DeCoTR: Enhancing Depth Completion with 2D and 3D Attentions
• Holistic Autonomous Driving Understanding by Bird’s-Eye-View Injected Multi-Modal Large Models
• G-NeRF: Geometry-enhanced Novel View Synthesis from Single-View Images
• PIN: Positional Insert Unlocks Object Localisation Abilities in VLMs
• Learning the 3D Fauna of the Web
• SCINeRF: Neural Radiance Fields from a Snapshot Compressive Image
• AHIVE: Anatomy-aware Hierarchical Vision Encoding for Interactive Radiology Report Retrieval
• EarthLoc: Astronaut Photography Localization by Indexing Earth from Space
• En3D: An Enhanced Generative Model for Sculpting 3D Humans from 2D Synthetic Data
• Blind Image Quality Assessment Based on Geometric Order Learning
• Question Aware Vision Transformer for Multimodal Reasoning
• Transcriptomics-guided Slide Representation Learning in Computational Pathology
• Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation
• IDGuard: Robust General Identity-centric POI Proactive Defense Against Face Editing Abuse
• Free3D: Consistent Novel View Synthesis without 3D Representation
• PH-Net: Semi-Supervised Breast Lesion Segmentation via Patch-wise Hardness
• EvDiG: Event-guided Direct and Global Components Separation
• Incremental Nuclei Segmentation from Histopathological Images via Future-class Awareness and Compatibility-inspired Distillation
• IBD-SLAM: Learning Image-Based Depth Fusion for Generalizable SLAM
• Viewpoint-Aware Visual Grounding in 3D Scenes
• SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology
• SyncMask: Synchronized Attentional Masking for Fashion-centric Vision-Language Pretraining
• Do You Remember? Dense Video Captioning with Cross-Modal Memory Retrieval
• An Edit Friendly DDPM Noise Space: Inversion and Manipulations
• ZeroShape: Regression-based Zero-shot Shape Reconstruction
• Retrieval-Augmented Egocentric Video Captioning
• MonoDiff: Monocular 3D Object Detection and Pose Estimation with Diffusion Models
• MonoNPHM: Dynamic Head Reconstruction from Monocular Videos
• Improved Visual Grounding through Self-Consistent Explanations
• Spin-UP: Spin Light for Natural Light Uncalibrated Photometric Stereo
• MicroDiffusion: Implicit Representation-Guided Diffusion for 3D Reconstruction from Limited 2D Microscopy Projections
• Fully Convolutional Slice-to-Volume Reconstruction for Single-Stack MRI
• InNeRF360: Text-Guided 3D-Consistent Object Inpainting on 360-degree Neural Radiance Fields
• Chat-UniVi: Unified Visual Representation Empowers Large Language Models with Image and Video Understanding
• Structure-Aware Sparse-View X-ray 3D Reconstruction
• MM-Narrator: Narrating Long-form Videos with Multimodal In-Context Learning
• Habitat Synthetic Scenes Dataset (HSSD-200): An Analysis of 3D Scene Scale and Realism Tradeoffs for ObjectGoal Navigation
• Multi-modal In-Context Learning Makes an Ego-evolving Scene Text Recognizer
• Holistic Features are almost Sufficient for Text-to-Video Retrieval
• Streaming Dense Video Captioning
• PhyScene: Physically Interactable 3D Scene Synthesis for Embodied AI
• EASE-DETR: Easing the Competition among Object Queries
• 3D Feature Tracking via Event Camera
• EgoGen: An Egocentric Synthetic Data Generator
• RadSimReal: Bridging the Gap Between Synthetic and Real Data in Radar Object Detection With Simulation
• OCAI: Improving Optical Flow Estimation by Occlusion and Consistency Aware Interpolation
• Rethinking Boundary Discontinuity Problem for Oriented Object Detection
• Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous and Instruction-guided Driving
• Improved Zero-Shot Classification by Adapting VLMs with Text Descriptions
• Test-Time Zero-Shot Temporal Action Localization
• CRKD: Enhanced Camera-Radar Object Detection with Cross-modality Knowledge Distillation
• Unsupervised Video Domain Adaptation with Masked Pre-Training and Collaborative Self-Training
• D3still: Decoupled Differential Distillation for Asymmetric Image Retrieval
• What When and Where? Self-Supervised Spatio-Temporal Grounding in Untrimmed Multi-Action Videos from Narrated Instructions
• CURSOR: Scalable Mixed-Order Hypergraph Matching with CUR Decomposition
• FlowDiffuser: Advancing Optical Flow Estimation with Diffusion Models
• Effective Video Mirror Detection with Inconsistent Motion Cues
• A Category Agnostic Model for Visual Rearrangment
• Uncovering What Why and How: A Comprehensive Benchmark for Causation Understanding of Video Anomaly
• Atom-Level Optical Chemical Structure Recognition with Limited Supervision
• Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping
• Region-Based Representations Revisited
• How to Handle Sketch-Abstraction in Sketch-Based Image Retrieval?
• Versatile Navigation Under Partial Observability via Value-guided Diffusion Policy
• CaKDP: Category-aware Knowledge Distillation and Pruning Framework for Lightweight 3D Object Detection
• LORS: Low-rank Residual Structure for Parameter-Efficient Network Stacking
• Smart Help: Strategic Opponent Modeling for Proactive and Adaptive Robot Assistance in Households
• GenH2R: Learning Generalizable Human-to-Robot Handover via Scalable Simulation Demonstration and Imitation
• Fourier-basis Functions to Bridge Augmentation Gap: Rethinking Frequency Augmentation in Image Classification
• Bézier Everywhere All at Once: Learning Drivable Lanes as Bézier Graphs
• Learning Vision from Models Rivals Learning Vision from Data
• Dual Pose-invariant Embeddings: Learning Category and Object-specific Discriminative Representations for Recognition and Retrieval
• VicTR: Video-conditioned Text Representations for Activity Recognition
• VLP: Vision Language Planning for Autonomous Driving
• Efficient Meshflow and Optical Flow Estimation from Event Cameras
• MemFlow: Optical Flow Estimation and Prediction with Memory
• OmniViD: A Generative Framework for Universal Video Understanding
• VSRD: Instance-Aware Volumetric Silhouette Rendering for Weakly Supervised 3D Object Detection
• Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly Detectors
• Compositional Video Understanding with Spatiotemporal Structure-based Transformers
• UnO: Unsupervised Occupancy Fields for Perception and Forecasting
• Generalizing 6-DoF Grasp Detection via Domain Prior Knowledge
• LayoutLLM: Layout Instruction Tuning with Large Language Models for Document Understanding
• PELA: Learning Parameter-Efficient Models with Low-Rank Approximation
• An N-Point Linear Solver for Line and Motion Estimation with Event Cameras
• Neural Visibility Field for Uncertainty-Driven Active Mapping
• Logit Standardization in Knowledge Distillation
• Selective Interpretable and Motion Consistent Privacy Attribute Obfuscation for Action Recognition
• PlatoNeRF: 3D Reconstruction in Plato's Cave via Single-View Two-Bounce Lidar
• Joint-Task Regularization for Partially Labeled Multi-Task Learning
• 3D LiDAR Mapping in Dynamic Environments using a 4D Implicit Neural Representation
• CaDeT: a Causal Disentanglement Approach for Robust Trajectory Prediction in Autonomous Driving
• Hyperspherical Classification with Dynamic Label-to-Prototype Assignment
• LASIL: Learner-Aware Supervised Imitation Learning For Long-term Microscopic Traffic Simulation
• PNeRV: Enhancing Spatial Consistency via Pyramidal Neural Representation for Videos
• CyberDemo: Augmenting Simulated Human Demonstration for Real-World Dexterous Manipulation
• Exploring Orthogonality in Open World Object Detection
• Novel Class Discovery for Ultra-Fine-Grained Visual Categorization
• Frozen Feature Augmentation for Few-Shot Image Classification
• Text-to-Image Diffusion Models are Great Sketch-Photo Matchmakers
• Finding Lottery Tickets in Vision Models via Data-driven Spectral Foresight Pruning
• RadarDistill: Boosting Radar-based Object Detection Performance via Knowledge Distillation from LiDAR Features
• Driving Everywhere with Large Language Model Policy Adaptation
• LSK3DNet: Towards Effective and Efficient 3D Perception with Large Sparse Kernels
• Point Segment and Count: A Generalized Framework for Object Counting
• Zero-TPrune: Zero-Shot Token Pruning through Leveraging of the Attention Graph in Pre-Trained Transformers
• Hyperbolic Learning with Synthetic Captions for Open-World Detection
• Harnessing the Power of MLLMs for Transferable Text-to-Image Person ReID
• Towards Generalizable Multi-Object Tracking
• Why Not Use Your Textbook? Knowledge-Enhanced Procedure Planning of Instructional Videos
• RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection
• Open-Vocabulary Object 6D Pose Estimation
• Visual Point Cloud Forecasting enables Scalable Autonomous Driving
• Step Differences in Instructional Video
• Dr2Net: Dynamic Reversible Dual-Residual Networks for Memory-Efficient Finetuning
• End-to-End Spatio-Temporal Action Localisation with Video Transformers
• Gaussian Splatting SLAM
• Not All Voxels Are Equal: Hardness-Aware Semantic Scene Completion with Self-Distillation
• TransLoc4D: Transformer-based 4D Radar Place Recognition
• ExACT: Language-guided Conceptual Reasoning and Uncertainty Estimation for Event-based Action Recognition and More
• Scaled Decoupled Distillation
• Learning Transferable Negative Prompts for Out-of-Distribution Detection
• UnSAMFlow: Unsupervised Optical Flow Guided by Segment Anything Model
• Pixel-level Semantic Correspondence through Layout-aware Representation Learning and Multi-scale Matching Integration
• NeuRAD: Neural Rendering for Autonomous Driving
• Improving Distant 3D Object Detection Using 2D Box Supervision
• EventDance: Unsupervised Source-free Cross-modal Adaptation for Event-based Object Recognition
• CSTA: CNN-based Spatiotemporal Attention for Video Summarization
• Attention-Driven Training-Free Efficiency Enhancement of Diffusion Models
• Holodeck: Language Guided Generation of 3D Embodied AI Environments
• FlashEval: Towards Fast and Accurate Evaluation of Text-to-image Diffusion Generative Models
• MaxQ: Multi-Axis Query for N:M Sparsity Network
• Multiscale Vision Transformers Meet Bipartite Matching for Efficient Single-stage Action Localization
• RepViT: Revisiting Mobile CNN From ViT Perspective
• CLIP-KD: An Empirical Study of CLIP Model Distillation
• Modeling Collaborator: Enabling Subjective Vision Classification With Minimal Human Effort via LLM Tool-Use
• Weak-to-Strong 3D Object Detection with X-Ray Distillation
• ADA-Track: End-to-End Multi-Camera 3D Multi-Object Tracking with Alternating Detection and Association
• ProTeCt: Prompt Tuning for Taxonomic Open Set Classification
• Supervised Anomaly Detection for Complex Industrial Images
• From Isolated Islands to Pangea: Unifying Semantic Space for Human Action Understanding
• GOAT-Bench: A Benchmark for Multi-Modal Lifelong Navigation
• LoCoNet: Long-Short Context Network for Active Speaker Detection
• CMA: A Chromaticity Map Adapter for Robust Detection of Screen-Recapture Document Images
• OVER-NAV: Elevating Iterative Vision-and-Language Navigation with Open-Vocabulary Detection and StructurEd Representation
• LLMs are Good Action Recognizers
• LAA-Net: Localized Artifact Attention Network for Quality-Agnostic and Generalizable Deepfake Detection
• StreamingFlow: Streaming Occupancy Forecasting with Asynchronous Multi-modal Data Streams via Neural Ordinary Differential Equation
• SOAC: Spatio-Temporal Overlap-Aware Multi-Sensor Calibration using Neural Radiance Fields
• SingularTrajectory: Universal Trajectory Predictor Using Diffusion Model
• Is Ego Status All You Need for Open-Loop End-to-End Autonomous Driving?
• DualAD: Disentangling the Dynamic and Static World for End-to-End Driving
• Object Recognition as Next Token Prediction
• MULDE: Multiscale Log-Density Estimation via Denoising Score Matching for Video Anomaly Detection
• Enhancing the Power of OOD Detection via Sample-Aware Model Selection
• Bridging the Gap: A Unified Video Comprehension Framework for Moment Retrieval and Highlight Detection
• Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching
• Harnessing Large Language Models for Training-free Video Anomaly Detection
• MULTIFLOW: Shifting Towards Task-Agnostic Vision-Language Pruning
• Generalized Predictive Model for Autonomous Driving
• Summarize the Past to Predict the Future: Natural Language Descriptions of Context Boost Multimodal Object Interaction Anticipation
• Extreme Point Supervised Instance Segmentation
• Video ReCap: Recursive Captioning of Hour-Long Videos
• SeMoLi: What Moves Together Belongs Together
• HIG: Hierarchical Interlacement Graph Approach to Scene Graph Generation in Video Understanding
• A Subspace-Constrained Tyler's Estimator and its Applications to Structure from Motion
• Adaptive Softassign via Hadamard-Equipped Sinkhorn
• Event Stream-based Visual Object Tracking: A High-Resolution Benchmark Dataset and A Novel Baseline
• Commonsense Prototype for Outdoor Unsupervised 3D Object Detection
• CrossKD: Cross-Head Knowledge Distillation for Object Detection
• UniMix: Towards Domain Adaptive and Generalizable LiDAR Semantic Segmentation in Adverse Weather
• NetTrack: Tracking Highly Dynamic Objects with a Net
• Dual Prototype Attention for Unsupervised Video Object Segmentation
• SHiNe: Semantic Hierarchy Nexus for Open-vocabulary Object Detection
• GLiDR: Topologically Regularized Graph Generative Network for Sparse LiDAR Point Clouds
• Preserving Fairness Generalization in Deepfake Detection
• TASeg: Temporal Aggregation Network for LiDAR Semantic Segmentation
• Active Object Detection with Knowledge Aggregation and Distillation from Large Models
• ICP-Flow: LiDAR Scene Flow Estimation with ICP
• SnAG: Scalable and Accurate Video Grounding
• On the Estimation of Image-matching Uncertainty in Visual Place Recognition
• PanoOcc: Unified Occupancy Representation for Camera-based 3D Panoptic Segmentation
• CLIP-BEVFormer: Enhancing Multi-View Image-Based BEV Detector with Ground Truth Flow
• Optimal Transport Aggregation for Visual Place Recognition
• SFOD: Spiking Fusion Object Detector
• Rapid Motor Adaptation for Robotic Manipulator Arms
• Temporally Consistent Unbalanced Optimal Transport for Unsupervised Action Segmentation
• Dense Vision Transformer Compression with Few Samples
• MovieChat: From Dense Token to Sparse Memory for Long Video Understanding
• Depth-Aware Concealed Crop Detection in Dense Agricultural Scenes
• UniMODE: Unified Monocular 3D Object Detection
• Producing and Leveraging Online Map Uncertainty in Trajectory Prediction
• CAT: Exploiting Inter-Class Dynamics for Domain Adaptive Object Detection
• UniPAD: A Universal Pre-training Paradigm for Autonomous Driving
• Model Adaptation for Time Constrained Embodied Control
• Learning Group Activity Features Through Person Attribute Prediction
• Towards High-fidelity Artistic Image Vectorization via Texture-Encapsulated Shape Parameterization
• Single-Model and Any-Modality for Video Object Tracking
• View From Above: Orthogonal-View aware Cross-view Localization
• Pseudo Label Refinery for Unsupervised Domain Adaptation on Cross-dataset 3D Object Detection
• Resource-Efficient Transformer Pruning for Finetuning of Large Models
• A Generative Approach for Wikipedia-Scale Visual Entity Recognition
• Text Is MASS: Modeling as Stochastic Embedding for Text-Video Retrieval
• Video Harmonization with Triplet Spatio-Temporal Variation Patterns
• Detours for Navigating Instructional Videos
• A Backpack Full of Skills: Egocentric Video Understanding with Diverse Task Perspectives
• Autoregressive Queries for Adaptive Tracking with Spatio-Temporal Transformers
• Multi-View Attentive Contextualization for Multi-View 3D Object Detection
• Fusing Personal and Environmental Cues for Identification and Segmentation of First-Person Camera Wearers in Third-Person Views
• On Train-Test Class Overlap and Detection for Image Retrieval
• Exploring Region-Word Alignment in Built-in Detector for Open-Vocabulary Object Detection
• Riemannian Multinomial Logistics Regression for SPD Neural Networks
• SIRA: Scalable Inter-frame Relation and Association for Radar Perception
• PREGO: Online Mistake Detection in PRocedural EGOcentric Videos
• Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis
• SPIN: Simultaneous Perception Interaction and Navigation
• MoST: Multi-Modality Scene Tokenization for Motion Prediction
• CAGE: Controllable Articulation GEneration
• Seeing the Unseen: Visual Common Sense for Semantic Placement
• GenNBV: Generalizable Next-Best-View Policy for Active 3D Reconstruction
• Continual Learning for Motion Prediction Model via Meta-Representation Learning and Optimal Memory Buffer Retention Strategy
• GRAM: Global Reasoning for Multi-Page VQA
• Learning Object State Changes in Videos: An Open-World Perspective
• vid-TLDR: Training Free Token Merging for Light-weight Video Transformer
• Learning for Transductive Threshold Calibration in Open-World Recognition
• Feedback-Guided Autonomous Driving
• BEVSpread: Spread Voxel Pooling for Bird’s-Eye-View Representation in Vision-based Roadside 3D Object Detection
• SkillDiffuser: Interpretable Hierarchical Planning via Skill Abstractions in Diffusion-Based Task Execution
• Adversarial Backdoor Attack by Naturalistic Data Poisoning on Trajectory Prediction in Autonomous Driving
• PikeLPN: Mitigating Overlooked Inefficiencies of Low-Precision Neural Networks
• RoHM: Robust Human Motion Reconstruction via Diffusion
• Multi-criteria Token Fusion with One-step-ahead Attention for Efficient Vision Transformers
• TIM: A Time Interval Machine for Audio-Visual Action Recognition
• DiffLoc: Diffusion Model for Outdoor LiDAR Localization
• Higher-order Relational Reasoning for Pedestrian Trajectory Prediction
• Prompt-Enhanced Multiple Instance Learning for Weakly Supervised Video Anomaly Detection
• Auto-Train-Once: Controller Network Guided Automatic Network Pruning from Scratch
• Transferable and Principled Efficiency for Open-Vocabulary Segmentation
• TransNeXt: Robust Foveal Visual Perception for Vision Transformers
• Generating Handwritten Mathematical Expressions From Symbol Graphs: An End-to-End Pipeline
• LLMs are Good Sign Language Translators
• Language-driven Grasp Detection
• Context-based and Diversity-driven Specificity in Compositional Zero-Shot Learning
• Dense Optical Tracking: Connecting the Dots
• Scaling Diffusion Models to Real-World 3D LiDAR Scene Completion
• Gradient Reweighting: Towards Imbalanced Class-Incremental Learning
• SceneFun3D: Fine-Grained Functionality and Affordance Understanding in 3D Scenes
• Part-aware Unified Representation of Language and Skeleton for Zero-shot Action Recognition
• Attribute-Guided Pedestrian Retrieval: Bridging Person Re-ID with Internal Attribute Variability
• From Coarse to Fine-Grained Open-Set Recognition
• SpiderMatch: 3D Shape Matching with Global Optimality and Geometric Consistency
• SPOC: Imitating Shortest Paths in Simulation Enables Effective Navigation and Manipulation in the Real World
• Learning Correlation Structures for Vision Transformers
• OneTracker: Unifying Visual Object Tracking with Foundation Models and Efficient Tuning
• YOLO-World: Real-Time Open-Vocabulary Object Detection
• Learning to Navigate Efficiently and Precisely in Real Environments
• Driving into the Future: Multiview Visual Forecasting and Planning with World Model for Autonomous Driving
• You'll Never Walk Alone: A Sketch and Text Duet for Fine-Grained Image Retrieval
• Matching Anything by Segmenting Anything
• Action-slot: Visual Action-centric Representations for Multi-label Atomic Activity Recognition in Traffic Scenes
• Low-power Continuous Remote Behavioral Localization with Event Cameras
• MGMap: Mask-Guided Learning for Online Vectorized HD Map Construction
• Action Detection via an Image Diffusion Process
• PaSCo: Urban 3D Panoptic Scene Completion with Uncertainty Awareness
• FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects
• Towards Realistic Scene Generation with LiDAR Diffusion Models
• TULIP: Transformer for Upsampling of LiDAR Point Clouds
• Towards Robust 3D Object Detection with LiDAR and 4D Radar Fusion in Various Weather Conditions
• Benchmarking the Robustness of Temporal Action Detection Models Against Temporal Corruptions
• Exploring the Potential of Large Foundation Models for Open-Vocabulary HOI Detection
• Task-Conditioned Adaptation of Visual Features in Multi-Task Policy Learning
• Hybrid Proposal Refiner: Revisiting DETR Series from the Faster R-CNN Perspective
• MTLoRA: Low-Rank Adaptation Approach for Efficient Multi-Task Learning
• PTQ4SAM: Post-Training Quantization for Segment Anything
• Characteristics Matching Based Hash Codes Generation for Efficient Fine-grained Image Retrieval
• Delving into the Trajectory Long-tail Distribution for Muti-object Tracking
• ALGM: Adaptive Local-then-Global Token Merging for Efficient Semantic Segmentation with Plain Vision Transformers
• Hyperbolic Anomaly Detection
• Implicit Motion Function
• Modeling Multimodal Social Interactions: New Challenges and Baselines with Densely Aligned Representations
• Promptable Behaviors: Personalizing Multi-Objective Rewards from Human Preferences
• Referring Expression Counting
• Improving Visual Recognition with Hyperbolical Visual Hierarchy Mapping
• ExtDM: Distribution Extrapolation Diffusion Model for Video Prediction
• Hierarchical Diffusion Policy for Kinematics-Aware Multi-Task Robotic Manipulation
• Contrastive Learning for DeepFake Classification and Localization via Multi-Label Ranking
• Visual Delta Generator with Large Multi-modal Models for Semi-supervised Composed Image Retrieval
• PeVL: Pose-Enhanced Vision-Language Model for Fine-Grained Human Action Recognition
• Diffusion-EDFs: Bi-equivariant Denoising Generative Modeling on SE(3) for Visual Robotic Manipulation
• DETRs Beat YOLOs on Real-time Object Detection
• MP5: A Multi-modal Open-ended Embodied System in Minecraft via Active Perception
• Evidential Active Recognition: Intelligent and Prudent Open-World Embodied Perception
• Sparse Global Matching for Video Frame Interpolation with Large Motion
• Context-Aware Integration of Language and Visual References for Natural Language Tracking
• Asymmetric Masked Distillation for Pre-Training Small Foundation Models
• PEM: Prototype-based Efficient MaskFormer for Image Segmentation
• Looking 3D: Anomaly Detection with 2D-3D Alignment
• Active Open-Vocabulary Recognition: Let Intelligent Moving Mitigate CLIP Limitations
• IS-Fusion: Instance-Scene Collaborative Fusion for Multimodal 3D Object Detection
• Low-Rank Rescaled Vision Transformer Fine-Tuning: A Residual Design Approach
• Depth-aware Test-Time Training for Zero-shot Video Object Segmentation
• Retrieval-Augmented Open-Vocabulary Object Detection
• OmniParser: A Unified Framework for Text Spotting Key Information Extraction and Table Recognition
• LiDAR-based Person Re-identification
• Instance-Aware Group Quantization for Vision Transformers
• BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation
• NeLF-Pro: Neural Light Field Probes for Multi-Scale Novel View Synthesis
• CORE-MPI: Consistency Object Removal with Embedding MultiPlane Image
• RCooper: A Real-world Large-scale Dataset for Roadside Cooperative Perception
• Unified Language-driven Zero-shot Domain Adaptation
• CausalPC: Improving the Robustness of Point Cloud Classification by Causal Effect Identification
• DiffuScene: Denoising Diffusion Models for Generative Indoor Scene Synthesis
• Improving Plasticity in Online Continual Learning via Collaborative Learning
• Domain-Rectifying Adapter for Cross-Domain Few-Shot Segmentation
• FutureHuman3D: Forecasting Complex Long-Term 3D Human Behavior from Video Observations
• MULAN: A Multi Layer Annotated Dataset for Controllable Text-to-Image Generation
• A Versatile Framework for Continual Test-Time Domain Adaptation: Balancing Discriminability and Generalizability
• Label Propagation for Zero-shot Classification with Vision-Language Models
• MorpheuS: Neural Dynamic 360° Surface Reconstruction from Monocular RGB-D Video
• CN-RMA: Combined Network with Ray Marching Aggregation for 3D Indoor Object Detection from Multi-view Images
• Spectrum AUC Difference (SAUCD): Human-aligned 3D Shape Evaluation
• VGGSfM: Visual Geometry Grounded Deep Structure From Motion
• Insect-Foundation: A Foundation Model and Large-scale 1M Dataset for Visual Insect Understanding
• NeRF Director: Revisiting View Selection in Neural Volume Rendering
• TutteNet: Injective 3D Deformations by Composition of 2D Mesh Deformations
• Unveiling the Unknown: Unleashing the Power of Unknown to Known in Open-Set Source-Free Domain Adaptation
• Multi-Scale 3D Gaussian Splatting for Anti-Aliased Rendering
• GPS-Gaussian: Generalizable Pixel-wise 3D Gaussian Splatting for Real-time Human Novel View Synthesis
• PKU-DyMVHumans: A Multi-View Video Benchmark for High-Fidelity Dynamic Human Modeling
• A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models
• GauHuman: Articulated Gaussian Splatting from Monocular Human Videos
• FreeMan: Towards Benchmarking 3D Human Pose Estimation under Real-World Conditions
• Improving Generalized Zero-Shot Learning by Exploring the Diverse Semantics from External Class Names
• Compact 3D Gaussian Representation for Radiance Field
• Photo-SLAM: Real-time Simultaneous Localization and Photorealistic Mapping for Monocular Stereo and RGB-D Cameras
• Visual-Augmented Dynamic Semantic Prototype for Generative Zero-Shot Learning
• 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering
• GEARS: Local Geometry-aware Hand-object Interaction Synthesis
• What How and When Should Object Detectors Update in Continually Changing Test Domains?
• Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields
• Animatable Gaussians: Learning Pose-dependent Gaussian Maps for High-fidelity Human Avatar Modeling
• L2B: Learning to Bootstrap Robust Models for Combating Label Noise
• Real Acoustic Fields: An Audio-Visual Room Acoustics Dataset and Benchmark
• Brain Decodes Deep Nets
• Adaptive Slot Attention: Object Discovery with Dynamic Slot Number
• ESCAPE: Encoding Super-keypoints for Category-Agnostic Pose Estimation
• 4K4D: Real-Time 4D View Synthesis at 4K Resolution
• GraphDreamer: Compositional 3D Scene Synthesis from Scene Graphs
• PAPR in Motion: Seamless Point-level 3D Scene Interpolation
• A Bayesian Approach to OOD Robustness in Image Classification
• SurroundSDF: Implicit 3D Scene Understanding Based on Signed Distance Field
• Integrating Efficient Optimal Transport and Functional Maps For Unsupervised Shape Correspondence Learning
• VBench: Comprehensive Benchmark Suite for Video Generative Models
• MSU-4S - The Michigan State University Four Seasons Dataset
• ConCon-Chi: Concept-Context Chimera Benchmark for Personalized Vision-Language Tasks
• ColorPCR: Color Point Cloud Registration with Multi-Stage Geometric-Color Fusion
• NeRF-HuGS: Improved Neural Radiance Fields in Non-static Scenes Using Heuristics-Guided Segmentation
• Positive-Unlabeled Learning by Latent Group-Aware Meta Disambiguation
• NeISF: Neural Incident Stokes Field for Geometry and Material Estimation
• Split to Merge: Unifying Separated Modalities for Unsupervised Domain Adaptation
• GaussianAvatars: Photorealistic Head Avatars with Rigged 3D Gaussians
• Test-Time Linear Out-of-Distribution Detection
• Total-Decom: Decomposed 3D Scene Reconstruction with Minimal Interaction
• MVCPS-NeuS: Multi-view Constrained Photometric Stereo for Neural Surface Reconstruction
• GlitchBench: Can Large Multimodal Models Detect Video Game Glitches?
• TAMM: TriAdapter Multi-Modal Learning for 3D Shape Understanding
• ExtraNeRF: Visibility-Aware View Extrapolation of Neural Radiance Fields with Diffusion Models
• Gaussian Shadow Casting for Neural Characters
• GenZI: Zero-Shot 3D Human-Scene Interaction Generation
• TeMO: Towards Text-Driven 3D Stylization for Multi-Object Meshes
• Robust Synthetic-to-Real Transfer for Stereo Matching
• Unexplored Faces of Robustness and Out-of-Distribution: Covariate Shifts in Environment and Sensor Domains
• Evaluating Transferability in Retrieval Tasks: An Approach Using MMD and Kernel Methods
• Efficient Solution of Point-Line Absolute Pose
• What You See is What You GAN: Rendering Every Pixel for High-Fidelity Geometry in 3D GANs
• DYSON: Dynamic Feature Space Self-Organization for Online Task-Free Class Incremental Learning
• Improving Graph Contrastive Learning via Adaptive Positive Sampling
• DS-NeRV: Implicit Neural Video Representation with Decomposed Static and Dynamic Codes
• Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners
• Learning with Unreliability: Fast Few-shot Voxel Radiance Fields with Relative Geometric Consistency
• MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers
• InfLoRA: Interference-Free Low-Rank Adaptation for Continual Learning
• Neural Refinement for Absolute Pose Regression with Feature Synthesis
• How to Train Neural Field Representations: A Comprehensive Study and Benchmark
• Differentiable Neural Surface Refinement for Modeling Transparent Objects
• Multi-Level Neural Scene Graphs for Dynamic Urban Environments
• Gear-NeRF: Free-Viewpoint Rendering and Tracking with Motion-aware Spatio-Temporal Sampling
• Learning SO(3)-Invariant Semantic Correspondence via Local Shape Transform
• Spectral and Polarization Vision: Spectro-polarimetric Real-world Dataset
• TCP:Textual-based Class-aware Prompt tuning for Visual-Language Model
• MuRF: Multi-Baseline Radiance Fields
• A Unified Diffusion Framework for Scene-aware Human Motion Estimation from Sparse Signals
• Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstruction
• Task-Adaptive Saliency Guidance for Exemplar-free Class Incremental Learning
• Hierarchical Correlation Clustering and Tree Preserving Embedding
• CuVLER: Enhanced Unsupervised Object Discoveries through Exhaustive Self-Supervised Transformers
• Neural Modes: Self-supervised Learning of Nonlinear Modal Subspaces
• GSNeRF: Generalizable Semantic Neural Radiance Fields with Enhanced 3D Scene Understanding
• HybridNeRF: Efficient Neural Rendering via Adaptive Volumetric Surfaces
• LangSplat: 3D Language Gaussian Splatting
• Source-Free Domain Adaptation with Frozen Multimodal Foundation Model
• Distributionally Generative Augmentation for Fair Facial Attribute Classification
• CG-HOI: Contact-Guided 3D Human-Object Interaction Generation
• MAP: MAsk-Pruning for Source-Free Model Intellectual Property Protection
• MLP Can Be A Good Transformer Learner
• Traffic Scene Parsing through the TSP6K Dataset
• Entity-NeRF: Detecting and Removing Moving Entities in Urban Scenes
• HiFi4G: High-Fidelity Human Performance Rendering via Compact Gaussian Splatting
• Semantically-Shifted Incremental Adapter-Tuning is A Continual ViTransformer
• FaceTalk: Audio-Driven Motion Diffusion for Neural Parametric Head Models
• Symphonize 3D Semantic Scene Completion with Contextual Instance Queries
• DeMatch: Deep Decomposition of Motion Field for Two-View Correspondence Learning
• Text-Enhanced Data-free Approach for Federated Class-Incremental Learning
• UnScene3D: Unsupervised 3D Instance Segmentation for Indoor Scenes
• Multiway Point Cloud Mosaicking with Diffusion and Global Optimization
• Learning Equi-angular Representations for Online Continual Learning
• Text-to-3D using Gaussian Splatting
• MVHumanNet: A Large-scale Dataset of Multi-view Daily Dressing Human Captures
• Convolutional Prompting meets Language Models for Continual Learning
• Pre-training Vision Models with Mandelbulb Variations
• CoGS: Controllable Gaussian Splatting
• A2XP: Towards Private Domain Generalization
• Progressive Semantic-Guided Vision Transformer for Zero-Shot Learning
• Universal Novelty Detection Through Adaptive Contrastive Learning
• OmniSDF: Scene Reconstruction using Omnidirectional Signed Distance Functions and Adaptive Binoctrees
• GS-IR: 3D Gaussian Splatting for Inverse Rendering
• MTMMC: A Large-Scale Real-World Multi-Modal Camera Tracking Benchmark
• Deep Generative Model based Rate-Distortion for Image Downscaling Assessment
• Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object Exchange
• EgoExoLearn: A Dataset for Bridging Asynchronous Ego- and Exo-centric View of Procedural Activities in Real World
• OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for Medical LVLM
• Disentangled Prompt Representation for Domain Generalization
• Deep Imbalanced Regression via Hierarchical Classification Adjustment
• StraightPCF: Straight Point Cloud Filtering
• Classes Are Not Equal: An Empirical Study on Image Recognition Fairness
• HouseCat6D - A Large-Scale Multi-Modal Category Level 6D Object Perception Dataset with Household Objects in Realistic Scenarios
• A Noisy Elephant in the Room: Is Your Out-of-Distribution Detector Robust to Label Noise?
• ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object
• Perceptual Assessment and Optimization of HDR Image Rendering
• Improving Depth Completion via Depth Feature Upsampling
• eTraM: Event-based Traffic Monitoring Dataset
• CroSel: Cross Selection of Confident Pseudo Labels for Partial-Label Learning
• GAFusion: Adaptive Fusing LiDAR and Camera with Multiple Guidance for 3D Object Detection
• Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields
• Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives
• Absolute Pose from One or Two Scaled and Oriented Features
• LoS: Local Structure-Guided Stereo Matching
• TACO: Benchmarking Generalizable Bimanual Tool-ACtion-Object Understanding
• Instantaneous Perception of Moving Objects in 3D
• HPL-ESS: Hybrid Pseudo-Labeling for Unsupervised Event-based Semantic Segmentation
• Dr.Hair: Reconstructing Scalp-Connected Hair Strands without Pre-Training via Differentiable Rendering of Line Segments
• ReCoRe: Regularized Contrastive Representation Learning of World Model
• Insights from the Use of Previously Unseen Neural Architecture Search Datasets
• GaussianEditor: Editing 3D Gaussians Delicately with Text Instructions
• Masked Spatial Propagation Network for Sparsity-Adaptive Depth Refinement
• GARField: Group Anything with Radiance Fields
• IPoD: Implicit Field Learning with Point Diffusion for Generalizable 3D Object Reconstruction from Single RGB-D Images
• LEAP-VO: Long-term Effective Any Point Tracking for Visual Odometry
• DUSt3R: Geometric 3D Vision Made Easy
• GPT-4V(ision) is a Human-Aligned Evaluator for Text-to-3D Generation
• SpecNeRF: Gaussian Directional Encoding for Specular Reflections
• EFHQ: Multi-purpose ExtremePose-Face-HQ dataset
• Learning to Rank Patches for Unbiased Image Redundancy Reduction
• MatSynth: A Modern PBR Materials Dataset
• Non-Rigid Structure-from-Motion: Temporally-Smooth Procrustean Alignment and Spatially-Variant Deformation Modeling
• DrivingGaussian: Composite Gaussian Splatting for Surrounding Dynamic Autonomous Driving Scenes
• HUGS: Holistic Urban 3D Scene Understanding via Gaussian Splatting
• Dynamic Cues-Assisted Transformer for Robust Point Cloud Registration
• EmbodiedScan: A Holistic Multi-Modal 3D Perception Suite Towards Embodied AI
• GART: Gaussian Articulated Template Models
• Low-Resource Vision Challenges for Foundation Models
• Unsigned Orthogonal Distance Fields: An Accurate Neural Implicit Representation for Diverse 3D Shapes
• Loopy-SLAM: Dense Neural SLAM with Loop Closures
• FAR: Flexible Accurate and Robust 6DoF Relative Camera Pose Estimation
• NeRFiller: Completing Scenes via Generative 3D Inpainting
• 3D Neural Edge Reconstruction
• TUMTraf V2X Cooperative Perception Dataset
• 3DInAction: Understanding Human Actions in 3D Point Clouds
• S-DyRF: Reference-Based Stylized Radiance Fields for Dynamic Scenes
• Alpha Invariance: On Inverse Scaling Between Distance and Volume Density in Neural Radiance Fields
• pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction
• AlignMiF: Geometry-Aligned Multimodal Implicit Field for LiDAR-Camera Joint Synthesis
• Real-World Mobile Image Denoising Dataset with Efficient Baselines
• LidaRF: Delving into Lidar for Neural Radiance Field on Street Scenes
• LiDAR-Net: A Real-scanned 3D Point Cloud Dataset for Indoor Scenes
• Visual Programming for Zero-shot Open-Vocabulary 3D Visual Grounding
• Rich Human Feedback for Text-to-Image Generation
• FISBe: A Real-World Benchmark Dataset for Instance Segmentation of Long-Range Thin Filamentous Structures
• MMVP: A Multimodal MoCap Dataset with Vision and Pressure Sensors
• Adapters Strike Back
• 360Loc: A Dataset and Benchmark for Omnidirectional Visual Localization with Cross-device Queries
• SplaTAM: Splat Track & Map 3D Gaussians for Dense RGB-D SLAM
• Open-Set Domain Adaptation for Semantic Segmentation
• 360+x: A Panoptic Multi-modal Scene Understanding Dataset
• Improving Semantic Correspondence with Viewpoint-Guided Spherical Maps
• Benchmarking Implicit Neural Representation and Geometric Rendering in Real-Time RGB-D SLAM
• The Devil is in the Fine-Grained Details: Evaluating Open-Vocabulary Object Detectors for Fine-Grained Understanding
• Neural Directional Encoding for Efficient and Accurate View-Dependent Appearance Modeling
• GES : Generalized Exponential Splatting for Efficient Radiance Field Rendering
• Pose-Guided Self-Training with Two-Stage Clustering for Unsupervised Landmark Discovery
• Learning to Produce Semi-dense Correspondences for Visual Localization
• DiSR-NeRF: Diffusion-Guided View-Consistent Super-Resolution NeRF
• D3T: Distinctive Dual-Domain Teacher Zigzagging Across RGB-Thermal Gap for Domain-Adaptive Object Detection
• DAVE - A Detect-and-Verify Paradigm for Low-Shot Counting
• Enhancing Visual Continual Learning with Language-Guided Supervision
• Orchestrate Latent Expertise: Advancing Online Continual Learning with Multi-Level Supervision and Reverse Self-Distillation
• Robust Depth Enhancement via Polarization Prompt Fusion Tuning
• NEAT: Distilling 3D Wireframes from Neural Attraction Fields
• Instance Tracking in 3D Scenes from Egocentric Videos
• NARUTO: Neural Active Reconstruction from Uncertain Target Observations
• NeRFCodec: Neural Feature Compression Meets Neural Radiance Fields for Memory-Efficient Scene Representation
• SHINOBI: Shape and Illumination using Neural Object Decomposition via BRDF Optimization In-the-wild
• Localization Is All You Evaluate: Data Leakage in Online Mapping Datasets and How to Fix It
• COLMAP-Free 3D Gaussian Splatting
• Visual Prompting for Generalized Few-shot Segmentation: A Multi-scale Approach
• Learning from Synthetic Human Group Activities
• CDMAD: Class-Distribution-Mismatch-Aware Debiasing for Class-Imbalanced Semi-Supervised Learning
• Mip-Splatting: Alias-free 3D Gaussian Splatting
• Outdoor Scene Extrapolation with Hierarchical Generative Cellular Automata
• PI3D: Efficient Text-to-3D Generation with Pseudo-Image Diffusion
• Map-Relative Pose Regression for Visual Re-Localization
• JRDB-Social: A Multifaceted Robotic Dataset for Understanding of Context and Dynamics of Human Interactions Within Social Groups
• OneFormer3D: One Transformer for Unified Point Cloud Segmentation
• WinSyn: : A High Resolution Testbed for Synthetic Data
• DiVa-360: The Dynamic Visual Dataset for Immersive Neural Fields
• DNGaussian: Optimizing Sparse-View 3D Gaussian Radiance Fields with Global-Local Depth Normalization
• SubT-MRS Dataset: Pushing SLAM Towards All-weather Environments
• NICE: Neurogenesis Inspired Contextual Encoding for Replay-free Class Incremental Learning
• Can Biases in ImageNet Models Explain Generalization?
• Towards Generalizing to Unseen Domains with Few Labels
• A Simple Recipe for Language-guided Domain Generalized Segmentation
• Unsupervised Learning of Category-Level 3D Pose from Object-Centric Videos
• RoMa: Robust Dense Feature Matching
• MVBench: A Comprehensive Multi-modal Video Understanding Benchmark
• Three Pillars Improving Vision Foundation Model Distillation for Lidar
• OpenStreetView-5M: The Many Roads to Global Visual Geolocation
• Universal Semi-Supervised Domain Adaptation by Mitigating Common-Class Bias
• Real-time Acquisition and Reconstruction of Dynamic Volumes with Neural Structured Illumination
• Improving the Generalization of Segmentation Foundation Model under Distribution Shift via Weakly Supervised Adaptation
• Edge-Aware 3D Instance Segmentation Network with Intelligent Semantic Prior
• Density-guided Translator Boosts Synthetic-to-Real Unsupervised Domain Adaptive Segmentation of 3D Point Clouds
• Systematic Comparison of Semi-supervised and Self-supervised Learning for Medical Image Classification
• NAYER: Noisy Layer Data Generation for Efficient and Effective Data-free Knowledge Distillation
• Small Steps and Level Sets: Fitting Neural Surface Models with Point Guidance
• Federated Online Adaptation for Deep Stereo
• Dynamic LiDAR Re-simulation using Compositional Neural Fields
• Motion2VecSets: 4D Latent Vector Set Diffusion for Non-rigid Shape Reconstruction and Tracking
• XScale-NVS: Cross-Scale Novel View Synthesis with Hash Featurized Manifold
• Backpropagation-free Network for 3D Test-time Adaptation
• From SAM to CAMs: Exploring Segment Anything Model for Weakly Supervised Semantic Segmentation
• Solving Masked Jigsaw Puzzles with Diffusion Vision Transformers
• Aligning Logits Generatively for Principled Black-Box Knowledge Distillation
• TULIP: Multi-camera 3D Precision Assessment of Parkinson’s Disease
• Domain-Specific Block Selection and Paired-View Pseudo-Labeling for Online Test-Time Adaptation
• Grounding and Enhancing Grid-based Models for Neural Fields
• GaussianEditor: Swift and Controllable 3D Editing with Gaussian Splatting
• FreGS: 3D Gaussian Splatting with Progressive Frequency Regularization
• SceneTex: High-Quality Texture Synthesis for Indoor Scenes via Diffusion Priors
• Fully Geometric Panoramic Localization
• How Far Can We Compress Instant-NGP-Based NeRF?
• Object Dynamics Modeling with Hierarchical Point Cloud-based Representations
• GLACE: Global Local Accelerated Coordinate Encoding
• Shadows Don't Lie and Lines Can't Bend! Generative Models don't know Projective Geometry...for now
• S2MAE: A Spatial-Spectral Pretraining Foundation Model for Spectral Remote Sensing Data
• ParamISP: Learned Forward and Inverse ISPs using Camera Parameters
• LLM4SGG: Large Language Models for Weakly Supervised Scene Graph Generation
• Osprey: Pixel Understanding with Visual Instruction Tuning
• LION: Empowering Multimodal Large Language Model with Dual-Level Visual Knowledge
• SatSynth: Augmenting Image-Mask Pairs through Diffusion Models for Aerial Semantic Segmentation
• Stronger Fewer & Superior: Harnessing Vision Foundation Models for Domain Generalized Semantic Segmentation
• SHAP-EDITOR: Instruction-Guided Latent 3D Editing in Seconds
• Long-Tail Class Incremental Learning via Independent Sub-prototype Construction
• NAPGuard: Towards Detecting Naturalistic Adversarial Patches
• AV2AV: Direct Audio-Visual Speech to Audio-Visual Speech Translation with Unified Audio-Visual Speech Representation
• Active Prompt Learning in Vision Language Models
• Probabilistic Speech-Driven 3D Facial Motion Synthesis: New Benchmarks Methods and Applications
• Partial-to-Partial Shape Matching with Geometric Consistency
• Boosting Adversarial Training via Fisher-Rao Norm-based Regularization
• OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning
• ECoDepth: Effective Conditioning of Diffusion Models for Monocular Depth Estimation
• MoDE: CLIP Data Experts via Clustering
• Not All Prompts Are Secure: A Switchable Backdoor Attack Against Pre-trained Vision Transfomers
• Multi-modal Learning for Geospatial Vegetation Forecasting
• Image Restoration by Denoising Diffusion Models with Iteratively Preconditioned Guidance
• Learned Lossless Image Compression based on Bit Plane Slicing
• VILA: On Pre-training for Visual Language Models
• Fine-Grained Bipartite Concept Factorization for Clustering
• Linguistic-Aware Patch Slimming Framework for Fine-grained Cross-Modal Alignment
• Noisy-Correspondence Learning for Text-to-Image Person Re-identification
• FlowVQTalker: High-Quality Emotional Talking Face Generation through Normalizing Flow and Quantization
• Neural Spline Fields for Burst Image Fusion and Layer Separation
• Data-Efficient Multimodal Fusion on a Single GPU
• Single Domain Generalization for Crowd Counting
• Efficient Hyperparameter Optimization with Adaptive Fidelity Identification
• Draw Step by Step: Reconstructing CAD Construction Sequences from Point Clouds via Multimodal Diffusion.
• CurveCloudNet: Processing Point Clouds with 1D Structure
• Unraveling Instance Associations: A Closer Look for Audio-Visual Segmentation
• Unmixing Diffusion for Self-Supervised Hyperspectral Image Denoising
• KVQ: Kwai Video Quality Assessment for Short-form Videos
• MaskClustering: View Consensus based Mask Graph Clustering for Open-Vocabulary 3D Instance Segmentation
• DiffAssemble: A Unified Graph-Diffusion Model for 2D and 3D Reassembly
• Text-IF: Leveraging Semantic Text Guidance for Degradation-Aware and Interactive Image Fusion
• MAFA: Managing False Negatives for Vision-Language Pre-training
• Intriguing Properties of Diffusion Models: An Empirical Study of the Natural Attack Capability in Text-to-Image Generative Models
• Content-Adaptive Non-Local Convolution for Remote Sensing Pansharpening
• DiffSCI: Zero-Shot Snapshot Compressive Imaging via Iterative Spectral Diffusion Model
• Bring Event into RGB and LiDAR: Hierarchical Visual-Motion Fusion for Scene Flow
• VCoder: Versatile Vision Encoders for Multimodal Large Language Models
• CFAT: Unleashing Triangular Windows for Image Super-resolution
• PanoContext-Former: Panoramic Total Scene Understanding with a Transformer
• UniBind: LLM-Augmented Unified and Balanced Representation Space to Bind Them All
• Living Scenes: Multi-object Relocalization and Reconstruction in Changing 3D Environments
• One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models
• Latent Modulated Function for Computational Optimal Continuous Image Representation
• SPECAT: SPatial-spEctral Cumulative-Attention Transformer for High-Resolution Hyperspectral Image Reconstruction
• OmniVec2 - A Novel Transformer based Network for Large Scale Multimodal and Multitask Learning
• SkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation Imagery
• LEAD: Exploring Logit Space Evolution for Model Selection
• Distilling Semantic Priors from SAM to Efficient Image Restoration Models
• Text-Guided Variational Image Generation for Industrial Anomaly Detection and Segmentation
• Seeing Motion at Nighttime with an Event Camera
• Calibrating Multi-modal Representations: A Pursuit of Group Robustness without Annotations
• Deep Video Inverse Tone Mapping Based on Temporal Clues
• ID-Blau: Image Deblurring by Implicit Diffusion-based reBLurring AUgmentation
• Beyond Average: Individualized Visual Scanpath Prediction
• Initialization Matters for Adversarial Transfer Learning
• Active Domain Adaptation with False Negative Prediction for Object Detection
• Motion-adaptive Separable Collaborative Filters for Blind Motion Deblurring
• Accept the Modality Gap: An Exploration in the Hyperbolic Space
• Projecting Trackable Thermal Patterns for Dynamic Computer Vision
• Robust Distillation via Untargeted and Targeted Intermediate Adversarial Samples
• Improving Generalization via Meta-Learning on Hard Samples
• Towards Robust Learning to Optimize with Theoretical Guarantees
• Learning to Remove Wrinkled Transparent Film with Polarized Prior
• PeerAiD: Improving Adversarial Distillation from a Specialized Peer Tutor
• Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning
• EVS-assisted Joint Deblurring Rolling-Shutter Correction and Video Frame Interpolation through Sensor Inverse Modeling
• WaveMo: Learning Wavefront Modulations to See Through Scattering
• A Physics-informed Low-rank Deep Neural Network for Blind and Universal Lens Aberration Correction
• UFC-Net: Unrolling Fixed-point Continuous Network for Deep Compressive Sensing
• SoundingActions: Learning How Actions Sound from Narrated Egocentric Videos
• SG-PGM: Partial Graph Matching Network with Semantic Geometric Fusion for 3D Scene Graph Alignment and Its Downstream Tasks
• SeNM-VAE: Semi-Supervised Noise Modeling with Hierarchical Variational Autoencoder
• Learnable Earth Parser: Discovering 3D Prototypes in Aerial Scans
• Analyzing and Improving the Training Dynamics of Diffusion Models
• MuGE: Multiple Granularity Edge Detection
• Coherence As Texture – Passive Textureless 3D Reconstruction by Self-interference
• Audio-Visual Segmentation via Unlabeled Frame Exploitation
• Understanding and Improving Source-free Domain Adaptation from a Theoretical Perspective
• SwitchLight: Co-design of Physics-driven Architecture and Pre-training Framework for Human Portrait Relighting
• Large Language Models are Good Prompt Learners for Low-Shot Image Classification
• Diffeomorphic Template Registration for Atmospheric Turbulence Mitigation
• PixelRNN: In-pixel Recurrent Neural Networks for End-to-end–optimized Perception with Neural Sensors
• PAD: Patch-Agnostic Defense against Adversarial Patch Attacks
• No More Ambiguity in 360° Room Layout via Bi-Layout Estimation
• Efficient Model Stealing Defense with Noise Transition Matrix
• ArGue: Attribute-Guided Prompt Tuning for Vision-Language Models
• DetCLIPv3: Towards Versatile Generative Open-vocabulary Object Detection
• Regressor-Segmenter Mutual Prompt Learning for Crowd Counting
• Going Beyond Multi-Task Dense Prediction with Synergy Embedding Models
• EGTR: Extracting Graph from Transformer for Scene Graph Generation
• Federated Generalized Category Discovery
• X-MIC: Cross-Modal Instance Conditioning for Egocentric Action Generalization
• Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision Language Audio and Action
• Dynamic Prompt Optimizing for Text-to-Image Generation
• DMR: Decomposed Multi-Modality Representations for Frames and Events Fusion in Visual Reinforcement Learning
• Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models
• Close Imitation of Expert Retouching for Black-and-White Photography
• Attack To Defend: Exploiting Adversarial Attacks for Detecting Poisoned Models
• SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation
• Transfer CLIP for Generalizable Image Denoising
• Revisiting Adversarial Training at Scale
• Defense Against Adversarial Attacks on No-Reference Image Quality Models with Gradient Norm Regularization
• HUNTER: Unsupervised Human-centric 3D Detection via Transferring Knowledge from Synthetic Instances to Real Scenes
• A Study of Dropout-Induced Modality Bias on Robustness to Missing Video Frames for Audio-Visual Speech Recognition
• G-FARS: Gradient-Field-based Auto-Regressive Sampling for 3D Part Grouping
• AdaRevD: Adaptive Patch Exiting Reversible Decoder Pushes the Limit of Image Deblurring
• 1-Lipschitz Layers Compared: Memory Speed and Certifiable Robustness
• Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum Computing
• Decompose-and-Compose: A Compositional Approach to Mitigating Spurious Correlation
• Parameter Efficient Self-Supervised Geospatial Domain Adaptation
• Empowering Resampling Operation for Ultra-High-Definition Image Enhancement with Model-Aware Guidance
• Deep-TROJ: An Inference Stage Trojan Insertion Algorithm through Efficient Weight Replacement Attack
• LDP: Language-driven Dual-Pixel Image Defocus Deblurring Network
• Learning Spatial Features from Audio-Visual Correspondence in Egocentric Videos
• Task-Driven Wavelets using Constrained Empirical Risk Minimization
• Bilateral Adaptation for Human-Object Interaction Detection with Occlusion-Robustness
• FedMef: Towards Memory-efficient Federated Dynamic Pruning
• Dual-Scale Transformer for Large-Scale Single-Pixel Imaging
• Multi-Task Dense Prediction via Mixture of Low-Rank Experts
• Boosting Flow-based Generative Super-Resolution Models via Learned Prior
• Relational Matching for Weakly Semi-Supervised Oriented Object Detection
• Semantics Distortion and Style Matter: Towards Source-free UDA for Panoramic Segmentation
• Learning Inclusion Matching for Animation Paint Bucket Colorization
• PerceptionGPT: Effectively Fusing Visual Perception into LLM
• Single View Refractive Index Tomography with Neural Fields
• Hallucination Augmented Contrastive Learning for Multimodal Large Language Model
• OED: Towards One-stage End-to-End Dynamic Scene Graph Generation
• Improving Transferable Targeted Adversarial Attacks with Model Self-Enhancement
• SeD: Semantic-Aware Discriminator for Image Super-Resolution
• CLIP-Driven Open-Vocabulary 3D Scene Graph Generation via Cross-Modality Contrastive Learning
• LOTUS: Evasive and Resilient Backdoor Attacks through Sub-Partitioning
• From Variance to Veracity: Unbundling and Mitigating Gradient Variance in Differentiable Bundle Adjustment Layers
• Snapshot Lidar: Fourier Embedding of Amplitude and Phase for Single-Image Depth Reconstruction
• CoSeR: Bridging Image and Language for Cognitive Super-Resolution
• Discovering Syntactic Interaction Clues for Human-Object Interaction Detection
• Instance-based Max-margin for Practical Few-shot Recognition
• Are Conventional SNNs Really Efficient? A Perspective from Network Quantization
• Time-Efficient Light-Field Acquisition Using Coded Aperture and Events
• Learning CNN on ViT: A Hybrid Model to Explicitly Class-specific Boundaries for Domain Adaptation
• Generative Image Dynamics
• Towards Calibrated Multi-label Deep Neural Networks
• Amodal Ground Truth and Completion in the Wild
• Language-driven All-in-one Adverse Weather Removal
• Disentangled Pre-training for Human-Object Interaction Detection
• MRFS: Mutually Reinforcing Image Fusion and Segmentation
• AETTA: Label-Free Accuracy Estimation for Test-Time Adaptation
• TurboSL: Dense Accurate and Fast 3D by Neural Inverse Structured Light
• SinSR: Diffusion-Based Image Super-Resolution in a Single Step
• Navigating Beyond Dropout: An Intriguing Solution towards Generalizable Image Super Resolution
• T-VSL: Text-Guided Visual Sound Source Localization in Mixtures
• DiffuseMix: Label-Preserving Data Augmentation with Diffusion Models
• Physical Property Understanding from Language-Embedded Feature Fields
• SD4Match: Learning to Prompt Stable Diffusion Model for Semantic Matching
• Coherent Temporal Synthesis for Incremental Action Segmentation
• Gradient-based Parameter Selection for Efficient Fine-Tuning
• Language-guided Image Reflection Separation
• Monkey: Image Resolution and Text Label Are Important Things for Large Multi-modal Models
• Dispel Darkness for Better Fusion: A Controllable Visual Enhancer based on Cross-modal Conditional Adversarial Learning
• MoPE-CLIP: Structured Pruning for Efficient Vision-Language Models with Module-wise Pruning Error Metric
• Towards General Robustness Verification of MaxPool-based Convolutional Neural Networks via Tightening Linear Approximation
• DAP: A Dynamic Adversarial Patch for Evading Person Detectors
• Revamping Federated Learning Security from a Defender's Perspective: A Unified Defense with Homomorphic Encrypted Data Space
• Data Poisoning based Backdoor Attacks to Contrastive Learning
• NoiseCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions in Diffusion Models
• Overload: Latency Attacks on Object Detection for Edge Devices
• MimicDiffusion: Purifying Adversarial Perturbation via Mimicking Clean Diffusion Model
• Turb-Seg-Res: A Segment-then-Restore Pipeline for Dynamic Videos with Atmospheric Turbulence
• Distraction is All You Need: Memory-Efficient Image Immunization against Diffusion-Based Image Editing
• Task2Box: Box Embeddings for Modeling Asymmetric Task Relationships
• DART: Implicit Doppler Tomography for Radar Novel View Synthesis
• Generative Multi-modal Models are Good Class Incremental Learners
• LAN: Learning to Adapt Noise for Image Denoising
• Semantic Shield: Defending Vision-Language Models Against Backdooring and Poisoning via Fine-grained Knowledge Alignment
• MCNet: Rethinking the Core Ingredients for Accurate and Efficient Homography Estimation
• MonoHair: High-Fidelity Hair Modeling from a Monocular Video
• Real-World Efficient Blind Motion Deblurring via Blur Pixel Discretization
• Unsupervised Blind Image Deblurring Based on Self-Enhancement
• Simple Semantic-Aided Few-Shot Learning
• Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI
• APISR: Anime Production Inspired Real-World Anime Super-Resolution
• Towards Backward-Compatible Continual Learning of Image Compression
• Text Grouping Adapter: Adapting Pre-trained Text Detector for Layout Analysis
• AV-RIR: Audio-Visual Room Impulse Response Estimation
• Cyclic Learning for Binaural Audio Generation and Localization
• Mirasol3B: A Multimodal Autoregressive Model for Time-Aligned and Contextual Modalities
• Equivariant Plug-and-Play Image Reconstruction
• SonicVisionLM: Playing Sound with Vision Language Models
• Geometrically-driven Aggregation for Zero-shot 3D Point Cloud Understanding
• DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning
• Rethinking Transformers Pre-training for Multi-Spectral Satellite Imagery
• Look-Up Table Compression for Efficient Image Restoration
• From Pixels to Graphs: Open-Vocabulary Scene Graph Generation with Vision-Language Models
• Unbiased Faster R-CNN for Single-source Domain Generalized Object Detection
• AVFF: Audio-Visual Feature Fusion for Video Deepfake Detection
• Looking Similar Sounding Different: Leveraging Counterfactual Cross-Modal Pairs for Audiovisual Representation Learning
• MeLFusion: Synthesizing Music from Image and Language Cues using Diffusion Models
• An Aggregation-Free Federated Learning for Tackling Data Heterogeneity
• Soften to Defend: Towards Adversarial Robustness via Self-Guided Label Refinement
• Pre-trained Model Guided Fine-Tuning for Zero-Shot Adversarial Robustness
• Driving-Video Dehazing with Non-Aligned Regularization for Safety Assistance
• Diff-BGM: A Diffusion Model for Video Background Music Generation
• HiKER-SGG: Hierarchical Knowledge Enhanced Robust Scene Graph Generation
• OneLLM: One Framework to Align All Modalities with Language
• Latency Correction for Event-guided Deblurring and Frame Interpolation
• Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning
• Online Task-Free Continual Generative and Discriminative Learning via Dynamic Cluster Memory
• Self-Adaptive Reality-Guided Diffusion for Artifact-Free Super-Resolution
• Attentive Illumination Decomposition Model for Multi-Illuminant White Balancing
• SDDGR: Stable Diffusion-based Deep Generative Replay for Class Incremental Object Detection
• Transferable Structural Sparse Adversarial Attack Via Exact Group Sparsity Training
• CAMixerSR: Only Details Need More "Attention"
• Flattening the Parent Bias: Hierarchical Semantic Segmentation in the Poincaré Ball
• OMG-Seg: Is One Model Good Enough For All Segmentation?
• Open-Vocabulary Semantic Segmentation with Image Embedding Balancing
• SlowFormer: Adversarial Attack on Compute and Energy Consumption of Efficient Vision Transformers
• Groupwise Query Specialization and Quality-Aware Multi-Assignment for Transformer-based Visual Relationship Detection
• Unsupervised Deep Unrolling Networks for Phase Unwrapping
• Revisiting Adversarial Training Under Long-Tailed Distributions
• Dispersed Structured Light for Hyperspectral 3D Imaging
• Learning with Structural Labels for Learning with Noisy Labels
• CPP-Net: Embracing Multi-Scale Feature Fusion into Deep Unfolding CP-PPA Network for Compressive Sensing
• MetaCloak: Preventing Unauthorized Subject-driven Text-to-image Diffusion-based Synthesis via Meta-learning
• NB-GTR: Narrow-Band Guided Turbulence Removal
• Prompt3D: Random Prompt Assisted Weakly-Supervised 3D Object Detection
• Prompt Learning via Meta-Regularization
• Byzantine-robust Decentralized Federated Learning via Dual-domain Clustering and Trust Bootstrapping
• Scalable 3D Registration via Truncated Entry-wise Absolute Residuals
• On the Robustness of Large Multimodal Models Against Image Adversarial Attacks
• Discriminability-Driven Channel Selection for Out-of-Distribution Detection
• View-Category Interactive Sharing Transformer for Incomplete Multi-View Multi-Label Learning
• CoDi-2: In-Context Interleaved and Interactive Any-to-Any Generation
• Text-guided Explorable Image Super-resolution
• Towards HDR and HFR Video from Rolling-Mixed-Bit Spikings
• Adversarially Robust Few-shot Learning via Parameter Co-distillation of Similarity and Class Concept Learners
• DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models
• In2SET: Intra-Inter Similarity Exploiting Transformer for Dual-Camera Compressive Hyperspectral Imaging
• Beyond Text: Frozen Large Language Models in Visual Signal Comprehension
• SPIDeRS: Structured Polarization for Invisible Depth and Reflectance Sensing
• Watermark-embedded Adversarial Examples for Copyright Protection against Diffusion Models
• GoodSAM: Bridging Domain and Capacity Gaps via Segment Anything Model for Distortion-aware Panoramic Semantic Segmentation
• Passive Snapshot Coded Aperture Dual-Pixel RGB-D Imaging
• Generalized Event Cameras
• Event-based Visible and Infrared Fusion via Multi-task Collaboration
• Alchemist: Parametric Control of Material Properties with Diffusion Models

Receptions

• Reception & Musical Performances

Remarks

• Welcome & Awards

Tutorials

• Deep Stereo Matching in the Twenties
• Disentanglement and Compositionality in Computer Vision
• Machine Unlearning in Computer Vision: Foundations and Applications
• SCENIC: An Open-Source Probabilistic Programming System for Data Generation and Safety in AI-Based Autonomy
• Recent Advances in Vision Foundation Models
• Object-centric Representations in Computer Vision
• Robustness at Inference: Towards Explainability, Uncertainty, and Intervenability
• Efficient Homotopy Continuation for Solving Polynomial Systems in Computer Vision Applications
• Geospatial Computer Vision and Machine Learning for Large-Scale Earth Observation Data
• Edge AI in Action: Practical Approaches to Developing and Deploying Optimized Models
• Edge-Optimized Deep Learning: Harnessing Generative AI and Computer Vision with Open-Source Libraries
• 3D/4D Generation and Modeling with Generative Priors
• Contactless AI Healthcare using Cameras and Wireless Sensors
• Computational Design of Diverse Morphologies and Sensors for Vision and Robotics
• Learning Deep Low-dimensional Models from High-Dimensional Data: From Theory to Practice
• All You Need To Know About Point Cloud Understanding
• All You Need to Know about Self-Driving
• Towards Building AGI in Autonomy and Robotics
• End-to-End Autonomy: A New Era of Self-Driving
• From Multimodal LLM to Human-level AI: Modality, Instruction, Reasoning and Beyond
• Full-Stack, GPU-based Acceleration of Deep Learning
• Diffusion-based Video Generative Models
• Unifying Graph Neural Networks across Spatial and Spectral Domains

Workshops

• Computer Vision for Mixed Reality
• Domain adaptation, Explainability and Fairness in AI for Medical Image Analysis (DEF-AI-MIA)
• Efficient Large Vision Models
• 8th AI City Challenge
• Multimodal Algorithmic Reasoning Workshop
• SyntaGen: Harnessing Generative Models for Synthetic Visual Datasets
• The 5th Face Anti-Spoofing Workshop
• The 7th Workshop and Challenge Bridging the Gap between Computational Photography and Visual Recognition (UG2+)
• 4th Workshop on CV4Animals: Computer Vision for Animal Behavior Tracking and Modeling
• The Fifth Workshop on Fair, Data-efficient, and Trusted Computer Vision
• 2nd Workshop on Multimodal Content Moderation
• MetaFood Workshop (MTF)
• AI for 3D Generation
• 2nd Workshop on Scene Graphs and Graph Representation Learning
• ViLMa – Visual Localization and Mapping
• 1st Workshop on Dataset Distillation for Computer Vision
• VAND 2.0: Visual Anomaly and Novelty Detection
• Workshop on Computer Vision for Fashion, Art, and Design
• AI for Content Creation (AI4CC)
• New Challenges in 3D Human Understanding
• First Joint Egocentric Vision (EgoVis) Workshop
• First Workshop on Efficient and On-Device Generation (EDGE)
• 2nd Workshop on Foundation Models
• The 4th Workshop of Adversarial Machine Learning on Computer Vision: Robustness of Foundation Models
• 1st Workshop on Urban Scene Modeling: Where Vision Meets Photogrammetry and Graphics
• Second Workshop for Learning 3D with Multi-View Supervision
• AI4Space 2024
• 7th Workshop on Autonomous Driving (WAD)
• Foundation Models for Autonomous Systems
• Image Matching: Local Features and Beyond
• Populating Empty Cities – Virtual Humans for Robotics and Autonomous Driving
• Data Curation and Augmentation in Enhancing Medical Imaging Applications
• GenAI Media Generation Challenge for Computer Vision Workshop
• The Seventh International Workshop on Computer Vision for Physiological Measurement (CVPM)
• Workshop on Virtual Try-On
• Workshop on Graphic Design Understanding and Generation (GDUG)
• Fifth Workshop on Neural Architecture Search
• Agriculture-Vision: Challenges & Opportunities for Computer Vision in Agriculture
• VizWiz Grand Challenge: Describing Images and Videos Taken by Blind People
• Computer Vision for Materials Science Workshop
• The Future of Generative Visual Art
• Women in Computer Vision
• LatinX in Computer Vision Research Workshop
• The 5th Omnidirectional Computer Vision Workshop
• Third Workshop of Mobile Intelligent Photography & Imaging
• The 3rd Explainable AI for Computer Vision (XAI4CV) Workshop
• Workshop on Responsible Data
• GAZE 2024: The 6th International Workshop on Gaze Estimation and Prediction in the Wild
• RetailVision - Field Overview and Amazon Deep Dive
• 10th IEEE International Workshop on Computer Vision in Sports (CVsports)
• Equivariant Vision: From Theory to Practice
• 5th Workshop on Continual Learning in Computer Vision (CLVISION)
• 2nd Workshop on Compositional 3D Vision
• Visual Perception via Learning in an Open World
• 7th International Workshop on Visual Odometry and Computer Vision Applications Based on Location Clues
• Data-Driven Autonomous Driving Simulation (DDASD)
• Synthetic Data for Computer Vision
• Workshop on Human Motion Generation
• 9th Workshop on Computer Vision for Microscopy Image Analysis
• 2nd Workshop on Generative Models for Computer Vision
• ReGenAI: First Workshop on Responsible Generative AI
• The 5th Annual Embodied AI Workshop
• Towards 3D Foundation Models: Progress and Prospects
• 7th MUltimodal Learning and Applications
• Vision and Language for Autonomous Driving and Robotics (VLADR)
• 4th Workshop and Challenge on Computer Vision in the Built Environment for the Design, Construction, and Operation of Buildings
• The Sixth Workshop on Deep Learning for Geometric Computing (DLGC 2024)
• The First Workshop on the Evaluation of Generative Foundation Models
• 20th Workshop on Perception Beyond the Visible Spectrum
• Embedded Vision Workshop
• 5th Workshop on Robot Visual Perception in Human Crowded Environments
• 6th Workshop and Competition on Affective Behavior Analysis in-the-wild
• (3rd) Monocular Depth Estimation Challenge
• Learning from Procedural Videos and Language: What is Next?

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