ECCV 2024 Schedule

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SAT 28 SEP

11 p.m.

Registration

(ends 9:00 AM)

SUN 29 SEP

midnight

Workshop:

Recovering 6D Object Pose

(ends 4:00 AM)

Workshop:

Workshop on Spatial AI

(ends 4:00 AM)

Workshop:

3D Vision and Modeling Challenges in eCommerce

(ends 4:00 AM)

Workshop:

9th Workshop on Computer Vision in Plant Phenotyping and Agriculture (CVPPA)

(ends 4:00 AM)

Workshop:

3rd edition of Computer Vision for Metaverse (CV4Metaverse)

(ends 4:00 AM)

Workshop:

AI for Visual Arts Workshop and Challenges (AI4VA)

(ends 4:00 AM)

Workshop:

Visual object tracking and segmentation challenge VOTS2024 workshop

(ends 4:00 AM)

Workshop:

ACVR2024 - 12th International Workshop on Assistive Computer Vision and Robotics

(ends 4:00 AM)

Workshop:

Workshop on Artificial Social Intelligence

(ends 4:00 AM)

Workshop:

The First Workshop on Expressive Encounters: Co-speech gestures across cultures in the wild

(ends 4:00 AM)

Workshop:

BioImage Computing (BIC)

(ends 4:00 AM)

Workshop:

Self-Supervised Learning - What is next?

(ends 4:00 AM)

Workshop:

Beyond Euclidean: Hyperbolic and Hyperspherical Learning for Computer Vision

(ends 4:00 AM)

Workshop:

The Second Perception Test Challenge

(ends 4:00 AM)

Workshop:

Fairness and ethics towards transparent AI: facing the chalLEnge through model Debiasing (FAILED)

(ends 4:00 AM)

Workshop:

2nd International Workshop on Privacy-Preserving Computer Vision

(ends 4:00 AM)

Workshop:

Critical Evaluation of Generative Models and their Impact on Society

(ends 4:00 AM)

Workshop:

Scalable 3D Scene Generation and 3D Geometric Scene Understanding

(ends 4:00 AM)

Workshop:

Eyes of the Future: Integrating Computer Vision in Smart Eyewear

(ends 4:00 AM)

Tutorial:

Large Multimodal Foundation Models

(ends 4:00 AM)

Tutorial:

Efficient Text-to-Image and Text-to-3D modeling

(ends 4:00 AM)

1:30 a.m.

Break:

Coffee Break

(ends 2:00 AM)

4 a.m.

Break:

Lunch

(ends 5:00 AM)

5 a.m.

Workshop:

Half-century of Structure-from-Motion (50SfM)

(ends 9:00 AM)

Workshop:

Transparent & Reflective objects In the wild Challenges (TRICKY)

(ends 9:00 AM)

Workshop:

The First Workshop on: Computer Vision for Videogames (CV2)

(ends 9:00 AM)

Workshop:

AI4DH: Artificial Intelligence for Digital Humanities

(ends 9:00 AM)

Workshop:

The Third ROAD Workshop & Challenge: Event Detection for Situation Awareness in Autonomous Driving

(ends 9:00 AM)

Workshop:

Autonomous Vehicles meet Multimodal Foundation Models

(ends 9:00 AM)

Workshop:

5th Advances in Image Manipulation (AIM) Workshop and Challenges

(ends 9:00 AM)

Workshop:

Efficient Deep Learning for Foundation Models

(ends 9:00 AM)

Workshop:

T-CAP - Towards a Complete Analysis of People: Fine-grained Understanding for Real-World Applications

(ends 9:00 AM)

Workshop:

Human-inspired Computer Vision

(ends 9:00 AM)

Workshop:

Traditional Computer Vision in the Age of Deep Learning (TradiCV)

(ends 9:00 AM)

Workshop:

Workshop on Unlearning and Model Editing (U&ME'24)

(ends 9:00 AM)

Workshop:

2nd Workshop on Quantum Computer Vision and Machine Learning (QCVML)

(ends 9:00 AM)

Workshop:

AVGenL: Audio-Visual Generation and Learning

(ends 9:00 AM)

Workshop:

2nd OmniLabel Workshop: Enabling Complex Perception Through Vision and Language Foundational Models

(ends 9:00 AM)

Workshop:

The Dark Side of Generative AIs and Beyond

(ends 9:00 AM)

Workshop:

Explainable AI for Computer Vision: Where Are We and Where Are We Going?

(ends 9:00 AM)

Workshop:

OpenSUN3D: 3rd Workshop on Open-Vocabulary 3D Scene Understanding

(ends 9:00 AM)

Workshop:

Workshop on Neuromorphic Vision (NeVi): Advantages and Applications of Event Cameras

(ends 9:00 AM)

Tutorial:

Third Hands-on Egocentric Research Tutorial with Project Aria, from Meta

(ends 9:00 AM)

Tutorial:

Responsibly Building Generative Models

(ends 9:00 AM)

6:30 a.m.

Break:

Coffee Break

(ends 7:00 AM)

11 p.m.

Registration

(ends 9:00 AM)

MON 30 SEP

midnight

Workshop:

Dense Neural SLAM Workshop (NeuSLAM)

(ends 4:00 AM)

Workshop:

Wild3D: 3D Modeling, Reconstruction, and Generation in the Wild

(ends 4:00 AM)

Workshop:

CV For Ecology Workshop (CV4E)

(ends 4:00 AM)

Workshop:

2nd Workshop on Vision-based Industrial Inspection (VISION)

(ends 4:00 AM)

Workshop:

Vision for Art (VISART) VII Workshop

(ends 4:00 AM)

Workshop:

Vision-Centric Autonomous Driving (VCAD) Workshop

(ends 4:00 AM)

Workshop:

Multimodal Perception and Comprehension of Corner Cases in Autonomous Driving: Towards Next-Generation Solutions

(ends 4:00 AM)

Workshop:

Instance-Level Recognition

(ends 4:00 AM)

Workshop:

Computational Aspects of Deep Learning

(ends 4:00 AM)

Workshop:

Uncertainty Quantification for Computer Vision

(ends 4:00 AM)

Workshop:

The 3rd Workshop for Out-of-Distribution Generalization in Computer Vision Foundation Models

(ends 4:00 AM)

Workshop:

2nd Workshop on More Exploration, Less Exploitation (MELEX)

(ends 4:00 AM)

Workshop:

TWYN: Trust What You learN. 1st Workshop on Trustworthiness in Computer Vision

(ends 4:00 AM)

Workshop:

xAI4Biometrics at ECCV 2024 - 4th Workshop on Explainable & Interpretable Artificial Intelligence for Biometrics

(ends 4:00 AM)

Workshop:

Map-free Visual Relocalization

(ends 4:00 AM)

Workshop:

1st Workshop on Neural Fields Beyond Conventional Cameras

(ends 4:00 AM)

Tutorial:

A Bayesian Odyssey in Uncertainty: from Theoretical Foundations to Real-World Applications

(ends 4:00 AM)

Tutorial:

Emerging Trends in Disentanglement and Compositionality

(ends 4:00 AM)

Tutorial:

Recent Advances in Video Content Understanding and Generation

(ends 9:00 AM)

Tutorial:

Time is precious: Self-Supervised Learning Beyond Images

(ends 4:00 AM)

1:30 a.m.

Break:

Coffee Break

(ends 2:00 AM)

4 a.m.

Break:

Lunch

(ends 5:00 AM)

5 a.m.

Workshop:

Geometry in the Large Model Era

(ends 9:00 AM)

Workshop:

AI3DCC: The Second Workshop of AI for 3D Content Creation

(ends 9:00 AM)

Workshop:

FashionAI: Exploring the intersection of Fashion and Artificial Intelligence for reshaping the Industry

(ends 9:00 AM)

Workshop:

ROAM: Robust, Out-of-Distribution And Multi-Modal models for Autonomous Driving

(ends 9:00 AM)

Workshop:

Multi-Agent Autonomous Systems Meet Foundation Models: Challenges and Futures

(ends 9:00 AM)

Workshop:

Large-scale Video Object Segmentation

(ends 9:00 AM)

Workshop:

Foundation Models for 3D Humans

(ends 9:00 AM)

Workshop:

Observing and Understanding Hands in Action

(ends 9:00 AM)

Workshop:

7th Workshop and Competition on Affective Behavior Analysis in-the-wild

(ends 9:00 AM)

Workshop:

Knowledge in Generative Models

(ends 9:00 AM)

Workshop:

Emergent Visual Abilities and Limits of Foundation Models (EVAL-FoMo)

(ends 9:00 AM)

Workshop:

Workshop on Visual Concepts

(ends 9:00 AM)

Workshop:

Sometimes Less is More: The First Dataset Distillation Challenge

(ends 9:00 AM)

Workshop:

Synthetic Data for Computer Vision

(ends 9:00 AM)

Workshop:

Multimodal Agents Workshop

(ends 9:00 AM)

Workshop:

FOundation models Creators meet USers (FOCUS)

(ends 9:00 AM)

Workshop:

Women in Computer Vision

(ends 9:00 AM)

Workshop:

Workshop on Green Foundation Models

(ends 9:00 AM)

Workshop:

GigaVision: When Gigapixel Videography Meets Computer Vision

(ends 9:00 AM)

Tutorial:

Inside Plato's door: a tour in Multi-view Geometry

(ends 9:00 AM)

6:30 a.m.

Break:

Coffee Break

(ends 7:00 AM)

10 p.m.

Registration

(ends 9:30 AM)

11 p.m.

Opening Ceremony [11:00-12:00]

(ends 12:00 AM)

TUE 1 OCT

midnight

Oral 1A: Scene Analysis And Understanding [12:00-1:30]

Orals 12:00-1:20

[12:00] Towards Scene Graph Anticipation

[12:10] OP-Align: Object-level and Part-level Alignment for Self-supervised Category-level Articulated Object Pose Estimation

[12:20] PDiscoFormer: Relaxing Part Discovery Constraints with Vision Transformers

[12:30] Bi-directional Contextual Attention for 3D Dense Captioning

[12:40] OmniNOCS: A unified NOCS dataset and model for 3D lifting of 2D objects

[12:50] ABC Easy as 123: A Blind Counter for Exemplar-Free Multi-Class Class-agnostic Counting

[1:00] A Fair Ranking and New Model for Panoptic Scene Graph Generation

[1:10] Expanding Scene Graph Boundaries: Fully Open-vocabulary Scene Graph Generation via Visual-Concept Alignment and Retention

(ends 1:30 AM)

Oral 1B: Autonomous Driving [12:00-1:30]

Orals 12:00-1:20

[12:00] Making Large Language Models Better Planners with Reasoning-Decision Alignment

[12:10] MapTracker: Tracking with Strided Memory Fusion for Consistent Vector HD Mapping

[12:20] M^2Depth: Self-supervised Two-Frame Multi-camera Metric Depth Estimation

[12:30] H-V2X: A Large Scale Highway Dataset for BEV Perception

[12:40] Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction

[12:50] DriveLM: Driving with Graph Visual Question Answering

[1:00] RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios

[1:10] Mask2Map: Vectorized HD Map Construction Using Bird's Eye View Segmentation Masks

(ends 1:30 AM)

Oral 1C: Low-Level Vision And Imaging [12:00-1:30]

Orals 12:00-1:20

[12:00] Integer-Valued Training and Spike-driven Inference Spiking Neural Network for High-performance and Energy-efficient Object Detection

[12:10] Latent Diffusion Prior Enhanced Deep Unfolding for Snapshot Spectral Compressive Imaging

[12:20] SEA-RAFT: Simple, Efficient, Accurate RAFT for Optical Flow

[12:30] Photon Inhibition for Energy-Efficient Single-Photon Imaging

[12:40] Minimalist Vision with Freeform Pixels

[12:50] Flying with Photons: Rendering Novel Views of Propagating Light

[1:00] A Simple Low-bit Quantization Framework for Video Snapshot Compressive Imaging

[1:10] GazeXplain: Learning to Predict Natural Language Explanations of Visual Scanpaths

(ends 1:30 AM)

Demo Session 1A [12:00-3:30]

Demonstrations 12:00-3:30

Dynaphos: A VR demo of biologically-plausible simulated phosphene vision for visual cortical prostheses

OPT-IQA: Automated Camera Parameters Tuning Framework with IQA-guided Optimization

Transforming Retail with Shopic's Vision & AI-Powered Smart Cart

Controllable Face Synthesis with Semantic Latent Diffusion Models

EmoVOCA: Speech-Driven Emotional 3D Talking Heads

(ends 3:30 AM)

1:30 a.m.

Poster Session 1 [1:30-3:30]

Posters 1:30-3:30

Bi-directional Contextual Attention for 3D Dense Captioning

Expanding Scene Graph Boundaries: Fully Open-vocabulary Scene Graph Generation via Visual-Concept Alignment and Retention

ABC Easy as 123: A Blind Counter for Exemplar-Free Multi-Class Class-agnostic Counting

Towards Scene Graph Anticipation

OP-Align: Object-level and Part-level Alignment for Self-supervised Category-level Articulated Object Pose Estimation

PDiscoFormer: Relaxing Part Discovery Constraints with Vision Transformers

H-V2X: A Large Scale Highway Dataset for BEV Perception

RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios

DriveLM: Driving with Graph Visual Question Answering

Making Large Language Models Better Planners with Reasoning-Decision Alignment

M^2Depth: Self-supervised Two-Frame Multi-camera Metric Depth Estimation

MapTracker: Tracking with Strided Memory Fusion for Consistent Vector HD Mapping

Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction

A Simple Low-bit Quantization Framework for Video Snapshot Compressive Imaging

Photon Inhibition for Energy-Efficient Single-Photon Imaging

Latent Diffusion Prior Enhanced Deep Unfolding for Snapshot Spectral Compressive Imaging

Minimalist Vision with Freeform Pixels

SEA-RAFT: Simple, Efficient, Accurate RAFT for Optical Flow

Integer-Valued Training and Spike-driven Inference Spiking Neural Network for High-performance and Energy-efficient Object Detection

OmniNOCS: A unified NOCS dataset and model for 3D lifting of 2D objects

UniTalker: Scaling up Audio-Driven 3D Facial Animation through A Unified Model

Topo4D: Topology-Preserving Gaussian Splatting for High-Fidelity 4D Head Capture

HeadStudio: Text to Animatable Head Avatars with 3D Gaussian Splatting

MagicMirror: Fast and High-Quality Avatar Generation with Constrained Search Space

Personalized Video Relighting With an At-Home Light Stage

Fast Context-Based Low-Light Image Enhancement via Neural Implicit Representations

Panel-Specific Degradation Representation for Raw Under-Display Camera Image Restoration

HoloADMM: High-Quality Holographic Complex Field Recovery

Flying with Photons: Rendering Novel Views of Propagating Light

Efficient Depth-Guided Urban View Synthesis

Ray-Distance Volume Rendering for Neural Scene Reconstruction

Taming Latent Diffusion Model for Neural Radiance Field Inpainting

Learning Unsigned Distance Functions from Multi-view Images with Volume Rendering Priors

GMT: Enhancing Generalizable Neural Rendering via Geometry-Driven Multi-Reference Texture Transfer

MaRINeR: Enhancing Novel Views by Matching Rendered Images with Nearby References

UNIKD: UNcertainty-Filtered Incremental Knowledge Distillation for Neural Implicit Representation

Rethinking Directional Parameterization in Neural Implicit Surface Reconstruction

Sur^2f: A Hybrid Representation for High-Quality and Efficient Surface Reconstruction from Multi-view Images

Differentiable Convex Polyhedra Optimization from Multi-view Images

Combining Generative and Geometry Priors for Wide-Angle Portrait Correction

I2-SLAM: Inverting Imaging Process for Robust Photorealistic Dense SLAM

Mitigating Perspective Distortion-induced Shape Ambiguity in Image Crops

MVSGaussian: Fast Generalizable Gaussian Splatting Reconstruction from Multi-View Stereo

CityGaussian: Real-time High-quality Large-Scale Scene Rendering with Gaussians

GaussianImage: 1000 FPS Image Representation and Compression by 2D Gaussian Splatting

FlashSplat: 2D to 3D Gaussian Splatting Segmentation Solved Optimally

PolyOculus: Simultaneous Multi-view Image-based Novel View Synthesis

MegaScenes: Scene-Level View Synthesis at Scale

HiFi-123: Towards High-fidelity One Image to 3D Content Generation

View-Consistent 3D Editing with Gaussian Splatting

Compress3D: a Compressed Latent Space for 3D Generation from a Single Image

Forest2Seq: Revitalizing Order Prior for Sequential Indoor Scene Synthesis

3DFG-PIFu: 3D Feature Grids for Human Digitization from Sparse Views

Nuvo: Neural UV Mapping for Unruly 3D Representations

Diffusion Models are Geometry Critics: Single Image 3D Editing Using Pre-Trained Diffusion Priors

BlenderAlchemy: Editing 3D Graphics with Vision-Language Models

A Diffusion Model for Simulation Ready Coronary Anatomy with Morpho-skeletal Control

DreamMesh: Jointly Manipulating and Texturing Triangle Meshes for Text-to-3D Generation

TPA3D: Triplane Attention for Fast Text-to-3D Generation

DECOLLAGE: 3D Detailization by Controllable, Localized, and Learned Geometry Enhancement

WordRobe: Text-Guided Generation of Textured 3D Garments

AnyHome: Open-Vocabulary Large-Scale Indoor Scene Generation with First-Person View Exploration

HumanRefiner: Benchmarking Abnormal Human Generation and Refining with Coarse-to-fine Pose-Reversible Guidance

SENC: Handling Self-collision in Neural Cloth Simulation

AnimatableDreamer: Text-Guided Non-rigid 3D Model Generation and Reconstruction with Canonical Score Distillation

SceneScript: Reconstructing Scenes With An Autoregressive Structured Language Model

Diffusion Models as Data Mining Tools

ReMatching: Low-Resolution Representations for Scalable Shape Correspondence

PolyRoom: Room-aware Transformer for Floorplan Reconstruction

WindPoly: Polygonal Mesh Reconstruction via Winding Numbers

Hiding Imperceptible Noise in Curvature-Aware Patches for 3D Point Cloud Attack

Explicitly Guided Information Interaction Network for Cross-modal Point Cloud Completion

Diffusion Bridges for 3D Point Cloud Denoising

Towards a Density Preserving Objective Function for Learning on Point Sets

Syn-to-Real Domain Adaptation for Point Cloud Completion via Part-based Approach

T-MAE: Temporal Masked Autoencoders for Point Cloud Representation Learning

Text2LiDAR: Text-guided LiDAR Point Clouds Generation via Equirectangular Transformer

DatasetNeRF: Efficient 3D-aware Data Factory with Generative Radiance Fields

Computing the Lipschitz constant needed for fast scene recovery from CASSI measurements

Regularizing Dynamic Radiance Fields with Kinematic Fields

GlobalPointer: Large-Scale Plane Adjustment with Bi-Convex Relaxation

iMatching: Imperative Correspondence Learning

Fundamental Matrix Estimation Using Relative Depths

Track Everything Everywhere Fast and Robustly

Learning to Make Keypoints Sub-Pixel Accurate

Shape-guided Configuration-aware Learning for Endoscopic-image-based Pose Estimation of Flexible Robotic Instruments

FreeZe: Training-free zero-shot 6D pose estimation with geometric and vision foundation models

Omni6DPose: A Benchmark and Model for Universal 6D Object Pose Estimation and Tracking

Pseudo-keypoint RKHS Learning for Self-supervised 6DoF Pose Estimation

Divide and Fuse: Body Part Mesh Recovery from Partially Visible Human Images

GTPT: Group-based Token Pruning Transformer for Efficient Human Pose Estimation

D-SCo: Dual-Stream Conditional Diffusion for Monocular Hand-Held Object Reconstruction

Event-based Head Pose Estimation: Benchmark and Method

Parameterized Quasi-Physical Simulators for Dexterous Manipulations Transfer

RAW-Adapter: Adapting Pretrained Visual Model to Camera RAW Images

Easing 3D Pattern Reasoning with Side-view Features for Semantic Scene Completion

Diffusion Models for Monocular Depth Estimation: Overcoming Challenging Conditions

GroCo: Ground Constraint for Metric Self-Supervised Monocular Depth

Remove Projective LiDAR Depthmap Artifacts via Exploiting Epipolar Geometry

Cross-view image geo-localization with Panorama-BEV Co-Retrieval Network

CountFormer: Multi-View Crowd Counting Transformer

When Pedestrian Detection Meets Multi-Modal Learning: Generalist Model and Benchmark Dataset

MapDistill: Boosting Efficient Camera-based HD Map Construction via Camera-LiDAR Fusion Model Distillation

4D Contrastive Superflows are Dense 3D Representation Learners

TCC-Det: Temporarily consistent cues for weakly-supervised 3D detection

CARB-Net: Camera-Assisted Radar-Based Network for Vulnerable Road User Detection

SeFlow: A Self-Supervised Scene Flow Method in Autonomous Driving

RepVF: A Unified Vector Fields Representation for Multi-task 3D Perception

TrafficNight : An Aerial Multimodal Benchmark For Nighttime Vehicle Surveillance

RoDUS: Robust Decomposition of Static and Dynamic Elements in Urban Scenes

Monocular Occupancy Prediction for Scalable Indoor Scenes

nuCraft: Crafting High Resolution 3D Semantic Occupancy for Unified 3D Scene Understanding

Mask2Map: Vectorized HD Map Construction Using Bird's Eye View Segmentation Masks

CARFF: Conditional Auto-encoded Radiance Field for 3D Scene Forecasting

Neural Volumetric World Models for Autonomous Driving

Progressive Pretext Task Learning for Human Trajectory Prediction

Risk-Aware Self-Consistent Imitation Learning for Trajectory Planning in Autonomous Driving

Safe-Sim: Safety-Critical Closed-Loop Traffic Simulation with Diffusion-Controllable Adversaries

Towards Dual Transparent Liquid Level Estimation in Biomedical Lab: Dataset, Methods and Practice

TRAM: Global Trajectory and Motion of 3D Humans from in-the-wild Videos

Temporally Consistent Stereo Matching

Retrieval Robust to Object Motion Blur

Deblur e-NeRF: NeRF from Motion-Blurred Events under High-speed or Low-light Conditions

CMTA: Cross-Modal Temporal Alignment for Event-guided Video Deblurring

Long-range Turbulence Mitigation: A Large-scale Dataset and A Coarse-to-fine Framework

Diffusion Reward: Learning Rewards via Conditional Video Diffusion

HUMOS: Human Motion Model Conditioned on Body Shape

PoseAugment: Generative Human Pose Data Augmentation with Physical Plausibility for IMU-based Motion Capture

Large Motion Model for Unified Multi-Modal Motion Generation

Realistic Human Motion Generation with Cross-Diffusion Models

Text Motion Translator: A Bi-Directional Model for Enhanced 3D Human Motion Generation from Open-Vocabulary Descriptions

Generating Human Interaction Motions in Scenes with Text Control

Listen to Look into the Future: Audio-Visual Egocentric Gaze Anticipation

Masked Generative Video-to-Audio Transformers with Enhanced Synchronicity

PoseCrafter: One-Shot Personalized Video Synthesis Following Flexible Pose Control

MoVideo: Motion-Aware Video Generation with Diffusion Models

FreeInit: Bridging Initialization Gap in Video Diffusion Models

DreamMotion: Space-Time Self-Similar Score Distillation for Zero-Shot Video Editing

Videoshop: Localized Semantic Video Editing with Noise-Extrapolated Diffusion Inversion

ReNoise: Real Image Inversion Through Iterative Noising

Elegantly Written: Disentangling Writer and Character Styles for Enhancing Online Chinese Handwriting

One-Shot Diffusion Mimicker for Handwritten Text Generation

Investigating Style Similarity in Diffusion Models

DreamStruct: Understanding Slides and User Interfaces via Synthetic Data Generation

PartCraft: Crafting Creative Objects by Parts

DreamDrone: Text-to-Image Diffusion Models are Zero-shot Perpetual View Generators

WAS: Dataset and Methods for Artistic Text Segmentation

GarmentAligner: Text-to-Garment Generation via Retrieval-augmented Multi-level Corrections

PixArt-Sigma: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation

HybridBooth: Hybrid Prompt Inversion for Efficient Subject-Driven Generation

Improving Geo-diversity of Generated Images with Contextualized Vendi Score Guidance

Infinite-ID: Identity-preserved Personalization via ID-semantics Decoupling Paradigm

Diffusion Soup: Model Merging for Text-to-Image Diffusion Models

Unveiling and Mitigating Memorization in Text-to-image Diffusion Models through Cross Attention

Receler: Reliable Concept Erasing of Text-to-Image Diffusion Models via Lightweight Erasers

Face Adapter for Pre-Trained Diffusion Models with Fine-Grained ID and Attribute Control

DEPICT: Diffusion-Enabled Permutation Importance for Image Classification Tasks

Do text-free diffusion models learn discriminative visual representations?

DataDream: Few-shot Guided Dataset Generation

DiffuMatting: Synthesizing Arbitrary Objects with Matting-level Annotation

ZeST: Zero-Shot Material Transfer from a Single Image

FreeCompose: Generic Zero-Shot Image Composition with Diffusion Prior

Learning Equilibrium Transformation for Gamut Expansion and Color Restoration

Timestep-Aware Correction for Quantized Diffusion Models

Inf-DiT: Upsampling any-resolution image with memory-efficient diffusion transformer.

Energy-Clibrated VAE with Test Time Free Lunch

Noise Calibration: Plug-and-play Content-Preserving Video Enhancement using Pre-trained Video Diffusion Models

Prompt-Based Test-Time Real Image Dehazing: A Novel Pipeline

Asymmetric Mask Scheme for Self-Supervised Real Image Denoising

GRIDS: Grouped Multiple-Degradation Restoration with Image Degradation Similarity

Learning Dual-Level Deformable Implicit Representation for Real-World Scale Arbitrary Super-Resolution

A New Dataset and Framework for Real-World Blurred Images Super-Resolution

Blind image deblurring with noise-robust kernel estimation

SMFANet: A Lightweight Self-Modulation Feature Aggregation Network for Efficient Image Super-Resolution

MambaIR: A Simple Baseline for Image Restoration with State-Space Model

BlazeBVD: Make Scale-Time Equalization Great Again for Blind Video Deflickering

Towards Robust Full Low-bit Quantization of Super Resolution Networks

Solving the inverse problem of microscopy deconvolution with a residual Beylkin-Coifman-Rokhlin neural network

SAH-SCI: Self-Supervised Adapter for Efficient Hyperspectral Snapshot Compressive Imaging

Adaptive Compressed Sensing with Diffusion-Based Posterior Sampling

DiffuX2CT: Diffusion Learning to Reconstruct CT Images from Biplanar X-Rays

BaSIC: BayesNet Structure Learning for Computational Scalable Neural Image Compression

SNeRV: Spectra-preserving Neural Representation for Video

Multiscale Graph Texture Network

DetailSemNet: Elevating Signature Verification through Detail-Semantic Integration

Out-of-Bounding-Box Triggers: A Stealthy Approach to Cheat Object Detectors

Fake It till You Make It: Curricular Dynamic Forgery Augmentations towards General Deepfake Detection

AdversariaLeak: External Information Leakage Attack Using Adversarial Samples on Face Recognition Systems

Continual Learning for Remote Physiological Measurement: Minimize Forgetting and Simplify Inference

NeuroPictor: Refining fMRI-to-Image Reconstruction via Multi-individual Pretraining and Multi-level Modulation

Region-aware Distribution Contrast: A Novel Approach to Multi-Task Partially Supervised Learning

Large-Scale Multi-Hypotheses Cell Tracking Using Ultrametric Contours Maps

SemTrack: A Large-scale Dataset for Semantic Tracking in the Wild

DailyDVS-200: A Comprehensive Benchmark Dataset for Event-Based Action Recognition

CrossGLG: LLM Guides One-shot Skeleton-based 3D Action Recognition in a Cross-level Manner

Towards More Practical Group Activity Detection: A New Benchmark and Model

Synchronization is All You Need: Exocentric-to-Egocentric Transfer for Temporal Action Segmentation with Unlabeled Synchronized Video Pairs

Online Temporal Action Localization with Memory-Augmented Transformer

EgoLifter: Open-world 3D Segmentation for Egocentric Perception

MeshSegmenter: Zero-Shot Mesh Segmentation via Texture Synthesis

Spatial-Temporal Multi-level Association for Video Object Segmentation

Gated Temporal Diffusion for Stochastic Long-term Dense Anticipation

ViC-MAE: Self-Supervised Representation Learning from Images and Video with Contrastive Masked Autoencoders

Vision-Language Action Knowledge Learning for Semantic-Aware Action Quality Assessment

VideoMamba: State Space Model for Efficient Video Understanding

Text-Conditioned Resampler For Long Form Video Understanding

SHINE: Saliency-aware HIerarchical NEgative Ranking for Compositional Temporal Grounding

Vamos: Versatile Action Models for Video Understanding

Goldfish: Vision-Language Understanding of Arbitrarily Long Videos

Meta-optimized Angular Margin Contrastive Framework for Video-Language Representation Learning

Multi-Sentence Grounding for Long-term Instructional Video

CAT: Enhancing Multimodal Large Language Model to Answer Questions in Dynamic Audio-Visual Scenarios

CPM: Class-conditional Prompting Machine for Audio-visual Segmentation

SignAvatars: A Large-scale 3D Sign Language Holistic Motion Dataset and Benchmark

CityGuessr: City-Level Video Geo-Localization on a Global Scale

WRIM-Net: Wide-Ranging Information Mining Network for Visible-Infrared Person Re-Identification

Contrastive ground-level image and remote sensing pre-training improves representation learning for natural world imagery

AddressCLIP: Empowering Vision-Language Models for City-wide Image Address Localization

LingoQA: Video Question Answering for Autonomous Driving

Dolphins: Multimodal Language Model for Driving

PRET: Planning with Directed Fidelity Trajectory for Vision and Language Navigation

LLM as Copilot for Coarse-grained Vision-and-Language Navigation

Visual Grounding for Object-Level Generalization in Reinforcement Learning

m&m’s: A Benchmark to Evaluate Tool-Use for multi-step multi-modal Tasks

Recursive Visual Programming

Any2Point: Empowering Any-modality Transformers for Efficient 3D Understanding

Depicting Beyond Scores: Advancing Image Quality Assessment through Multi-modal Language Models

HaloQuest: A Visual Hallucination Dataset for Advancing Multimodal Reasoning

REVISION: Rendering Tools Enable Spatial Fidelity in Vision-Language Models

ViG-Bias: Visually Grounded Bias Discovery and Mitigation

GENIXER: Empowering Multimodal Large Language Models as a Powerful Data Generator

Adversarial Prompt Tuning for Vision-Language Models

MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training

Synergy of Sight and Semantics: Visual Intention Understanding with CLIP

FlexAttention for Efficient High-Resolution Vision-Language Models

VisionLLaMA: A Unified LLaMA Backbone for Vision Tasks

Weak-to-Strong Compositional Learning from Generative Models for Language-based Object Detection

Mismatch Quest: Visual and Textual Feedback for Image-Text Misalignment

BRIDGE: Bridging Gaps in Image Captioning Evaluation with Stronger Visual Cues

Controllable Contextualized Image Captioning: Directing the Visual Narrative through User-Defined Highlights

CLAP: Isolating Content from Style through Contrastive Learning with Augmented Prompts

Elevating All Zero-Shot Sketch-Based Image Retrieval Through Multimodal Prompt Learning

GazeXplain: Learning to Predict Natural Language Explanations of Visual Scanpaths

Textual Knowledge Matters: Cross-Modality Co-Teaching for Generalized Visual Class Discovery

Diff-Tracker: Text-to-Image Diffusion Models are Unsupervised Trackers

Trackastra: Transformer-based cell tracking for live-cell microscopy

Lost and Found: Overcoming Detector Failures in Online Multi-Object Tracking

Walker: Self-supervised Multiple Object Tracking by Walking on Temporal Object Appearance Graphs

E3V-K5: An Authentic Benchmark for Redefining Video-Based Energy Expenditure Estimation

Masked Video and Body-worn IMU Autoencoder for Egocentric Action Recognition

Learning by Aligning 2D Skeleton Sequences and Multi-Modality Fusion

Occluded Gait Recognition with Mixture of Experts: An Action Detection Perspective

Stepwise Multi-grained Boundary Detector for Point-supervised Temporal Action Localization

Finding Meaning in Points: Weakly Supervised Semantic Segmentation for Event Cameras

Reliable Spatial-Temporal Voxels For Multi-Modal Test-Time Adaptation

X-Pose: Detecting Any Keypoints

Open-Set Recognition in the Age of Vision-Language Models

Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

A Fair Ranking and New Model for Panoptic Scene Graph Generation

Unlocking Textual and Visual Wisdom: Open-Vocabulary 3D Object Detection Enhanced by Comprehensive Guidance from Text and Image

Tracking Meets LoRA: Faster Training, Larger Model, Stronger Performance

A Simple Background Augmentation Method for Object Detection with Diffusion Model

OpenIns3D: Snap and Lookup for 3D Open-vocabulary Instance Segmentation

Open-Vocabulary 3D Semantic Segmentation with Text-to-Image Diffusion Models

Agent Attention: On the Integration of Softmax and Linear Attention

WeCromCL: Weakly Supervised Cross-Modality Contrastive Learning for Transcription-only Supervised Text Spotting

Agglomerative Token Clustering

Embedding-Free Transformer with Inference Spatial Reduction for Efficient Semantic Segmentation

3D Weakly Supervised Semantic Segmentation with 2D Vision-Language Guidance

SPIN: Hierarchical Segmentation with Subpart Granularity in Natural Images

Open-Vocabulary RGB-Thermal Semantic Segmentation

PartSTAD: 2D-to-3D Part Segmentation Task Adaptation

Open-Vocabulary SAM: Segment and Recognize Twenty-thousand Classes Interactively

FREST: Feature RESToration for Semantic Segmentation under Multiple Adverse Conditions

Progressive Proxy Anchor Propagation for Unsupervised Semantic Segmentation

Early Preparation Pays Off: New Classifier Pre-tuning for Class Incremental Semantic Segmentation

Evaluating the Adversarial Robustness of Semantic Segmentation: Trying Harder Pays Off

Pseudo-Embedding for Generalized Few-Shot Point Cloud Segmentation

Self-supervised co-salient object detection via feature correspondences at multiple scales

Unsupervised Dense Prediction using Differentiable Normalized Cuts

Robust Zero-Shot Crowd Counting and Localization with Adaptive Resolution SAM

Bayesian Detector Combination for Object Detection with Crowdsourced Annotations

Bridge Past and Future: Overcoming Information Asymmetry in Incremental Object Detection

Bucketed Ranking-based Losses for Efficient Training of Object Detectors

Better Regression Makes Better Test-time Adaptive 3D Object Detection

MutDet: Mutually Optimizing Pre-training for Remote Sensing Object Detection

IRSAM: Advancing Segment Anything Model for Infrared Small Target Detection

Semi-supervised Segmentation of Histopathology Images with Noise-Aware Topological Consistency

The Devil is in the Statistics: Mitigating and Exploiting Statistics Difference for Generalizable Semi-supervised Medical Image Segmentation

A Rotation-invariant Texture ViT for Fine-Grained Recognition of Esophageal Cancer Endoscopic Ultrasound Images

Multistain Pretraining for Slide Representation Learning in Pathology

Bridging the Pathology Domain Gap: Efficiently Adapting CLIP for Pathology Image Analysis with Limited Labeled Data

HERGen: Elevating Radiology Report Generation with Longitudinal Data

Defect Spectrum: A Granular Look of Large-scale Defect Datasets with Rich Semantics

Towards Open-World Object-based Anomaly Detection via Self-Supervised Outlier Synthesis

AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection

Hierarchical Gaussian Mixture Normalizing Flow Modeling for Unified Anomaly Detection

A Unified Image Compression Method for Human Perception and Multiple Vision Tasks

FTBC: Forward Temporal Bias Correction for Optimizing ANN-SNN Conversion

Quantization-Friendly Winograd Transformations for Convolutional Neural Networks

YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Stripe Observation Guided Inference Cost-free Attention Mechanism

NOVUM: Neural Object Volumes for Robust Object Classification

POA: Pre-training Once for Models of All Sizes

Deep Feature Surgery: Towards Accurate and Efficient Multi-Exit Networks

Learn to Preserve and Diversify: Parameter-Efficient Group with Orthogonal Regularization for Domain Generalization

Fisher Calibration for Backdoor-Robust Heterogeneous Federated Learning

MultiDelete for Multimodal Machine Unlearning

Efficient Unsupervised Visual Representation Learning with Explicit Cluster Balancing

Multi-Label Cluster Discrimination for Visual Representation Learning

Robustness Preserving Fine-tuning using Neuron Importance

Online Zero-Shot Classification with CLIP

Understanding Multi-compositional learning in Vision and Language models via Category Theory

This Probably Looks Exactly Like That: An Invertible Prototypical Network

Rethinking Unsupervised Outlier Detection via Multiple Thresholding

Learning Non-Linear Invariants for Unsupervised Out-of-Distribution Detection

Multimodal Label Relevance Ranking via Reinforcement Learning

Confidence Self-Calibration for Multi-Label Class-Incremental Learning

MTaDCS: Moving Trace and Feature Density-based Confidence Sample Selection under Label Noise

Bidirectional Uncertainty-Based Active Learning for Open-Set Annotation

Online Continuous Generalized Category Discovery

Open-set Domain Adaptation via Joint Error based Multi-class Positive and Unlabeled Learning

UDA-Bench: Revisiting Common Assumptions in Unsupervised Domain Adaptation Using a Standardized Framework

Rethinking Few-shot Class-incremental Learning: Learning from Yourself

Versatile Incremental Learning: Towards Class and Domain-Agnostic Incremental Learning

Semantic Residual Prompts for Continual Learning

Encapsulating Knowledge in One Prompt

Representation Enhancement-Stabilization: Reducing Bias-Variance of Domain Generalization

Good Teachers Explain: Explanation-Enhanced Knowledge Distillation

PYRA: Parallel Yielding Re-Activation for Training-Inference Efficient Task Adaptation

Distill Gold from Massive Ores: Bi-level Data Pruning towards Efficient Dataset Distillation

Dataset Distillation by Automatic Training Trajectories

Refine, Discriminate and Align: Stealing Encoders via Sample-Wise Prototypes and Multi-Relational Extraction

Graph Neural Network Causal Explanation via Neural Causal Models

Optimization-based Uncertainty Attribution Via Learning Informative Perturbations

Generalizable Symbolic Optimizer Learning

CLR-GAN: Improving GANs Stability and Quality via Consistent Latent Representation and Reconstruction

Nickel and Diming Your GAN: A Dual-Method Approach to Enhancing GAN Efficiency via Knowledge Distillation

Exploiting Supervised Poison Vulnerability to Strengthen Self-Supervised Defense

SSL-Cleanse: Trojan Detection and Mitigation in Self-Supervised Learning

How Video Meetings Change Your Expression

MedRAT: Unpaired Medical Report Generation via Auxiliary Tasks

(ends 3:30 AM)

Break:

Coffee Break

(ends 2:00 AM)

3 a.m.

Mentorship:

Doctoral Consortium

(ends 5:00 AM)

3:30 a.m.

Lunch:

Lunch

(ends 4:30 AM)

4:30 a.m.

Oral 2A: Generative Models I [4:30-6:30]

Orals 4:30-6:20

[4:30] EDTalk: Efficient Disentanglement for Emotional Talking Head Synthesis

[4:40] TexDreamer: Towards Zero-Shot High-Fidelity 3D Human Texture Generation

[4:50] LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation

[5:00] FlashTex: Fast Relightable Mesh Texturing with LightControlNet

[5:10] TextDiffuser-2: Unleashing the Power of Language Models for Text Rendering

[5:20] LLMGA: Multimodal Large Language Model based Generation Assistant

[5:30] Accelerating Image Generation with Sub-path Linear Approximation Model

[5:40] SphereHead: Stable 3D Full-head Synthesis with Spherical Tri-plane Representation

[5:50] Bridging the Gap: Studio-like Avatar Creation from a Monocular Phone Capture

[6:00] Zero-Shot Detection of AI-Generated Images

[6:10] Action2Sound: Ambient-Aware Generation of Action Sounds from Egocentric Videos

(ends 6:30 AM)

Oral 2B: Recognition [4:30-6:30]

Orals 4:30-6:20

[4:30] Efficient Bias Mitigation Without Privileged Information

[4:40] Fast Diffusion-Based Counterfactuals for Shortcut Removal and Generation

[4:50] MobileNetV4: Universal Models for the Mobile Ecosystem

[5:00] Momentum Auxiliary Network for Supervised Local Learning

[5:10] From Fake to Real: Pretraining on Balanced Synthetic Images to Prevent Spurious Correlations in Image Recognition

[5:20] Dataset Enhancement with Instance-Level Augmentations

[5:30] Adaptive Parametric Activation

[5:40] Relation DETR: Exploring Explicit Position Relation Prior for Object Detection

[5:50] Projecting Points to Axes: Oriented Object Detection via Point-Axis Representation

[6:00] CLIFF: Continual Latent Diffusion for Open-Vocabulary Object Detection

[6:10] On Calibration of Object Detectors: Pitfalls, Evaluation and Baselines

(ends 6:30 AM)

Oral 2C: Multi-View And Visual Odometry [4:30-6:30]

Orals 4:30-6:20

[4:30] Physics-Free Spectrally Multiplexed Photometric Stereo under Unknown Spectral Composition

[4:40] COMO: Compact Mapping and Odometry

[4:50] Smoothness, Synthesis, and Sampling: Re-thinking Unsupervised Multi-View Stereo with DIV Loss

[5:00] ADen: Adaptive Density Representations for Sparse-view Camera Pose Estimation

[5:10] SPVLoc: Semantic Panoramic Viewport Matching for 6D Camera Localization in Unseen Environments

[5:20] Six-Point Method for Multi-Camera Systems with Reduced Solution Space

[5:30] Scene Coordinate Reconstruction: Posing of Image Collections via Incremental Learning of a Relocalizer

[5:40] Grounding Image Matching in 3D with MASt3R

[5:50] ConDense: Consistent 2D-3D Pre-training for Dense and Sparse Features from Multi-View Images

[6:00] Correspondences of the Third Kind: Camera Pose Estimation from Object Reflection

[6:10] Camera Calibration using a Collimator System

(ends 6:30 AM)

5:30 a.m.

Demo Session 1B [5:30-9:00]

Demonstrations 5:30-9:00

Leveraging Computer Vision on the Ski Slopes

A Tool for Collecting Spatio-temporally Sparse Point Annotations for Video Object Segmentation

OpenCity: Open-Vocabulary Attribution of 3D Buildings in City-Scale Photogrammetric Meshes

AR Deployment and Scene Modelling on Your Phone

Visual Place Recognition using 3D City Models

(ends 9:00 AM)

6:30 a.m.

Keynote:

Synthesia: From computer vision research to real-world AI avatars

Lourdes Agapito · Vittorio Ferrari

(ends 7:30 AM)

7:30 a.m.

Break:

Coffee Break

(ends 8:00 AM)

Poster Session 2 [7:30-9:30]

Posters 7:30-9:30

Zero-Shot Detection of AI-Generated Images

MobileNetV4: Universal Models for the Mobile Ecosystem

Fast Diffusion-Based Counterfactuals for Shortcut Removal and Generation

Adaptive Parametric Activation

CLIFF: Continual Latent Diffusion for Open-Vocabulary Object Detection

Dataset Enhancement with Instance-Level Augmentations

Efficient Bias Mitigation Without Privileged Information

On Calibration of Object Detectors: Pitfalls, Evaluation and Baselines

Momentum Auxiliary Network for Supervised Local Learning

From Fake to Real: Pretraining on Balanced Synthetic Images to Prevent Spurious Correlations in Image Recognition

Projecting Points to Axes: Oriented Object Detection via Point-Axis Representation

Relation DETR: Exploring Explicit Position Relation Prior for Object Detection

ConDense: Consistent 2D-3D Pre-training for Dense and Sparse Features from Multi-View Images

ADen: Adaptive Density Representations for Sparse-view Camera Pose Estimation

COMO: Compact Mapping and Odometry

Camera Calibration using a Collimator System

Correspondences of the Third Kind: Camera Pose Estimation from Object Reflection

Physics-Free Spectrally Multiplexed Photometric Stereo under Unknown Spectral Composition

SPVLoc: Semantic Panoramic Viewport Matching for 6D Camera Localization in Unseen Environments

Smoothness, Synthesis, and Sampling: Re-thinking Unsupervised Multi-View Stereo with DIV Loss

Six-Point Method for Multi-Camera Systems with Reduced Solution Space

Scene Coordinate Reconstruction: Posing of Image Collections via Incremental Learning of a Relocalizer

Grounding Image Matching in 3D with MASt3R

EDTalk: Efficient Disentanglement for Emotional Talking Head Synthesis

TextDiffuser-2: Unleashing the Power of Language Models for Text Rendering

Accelerating Image Generation with Sub-path Linear Approximation Model

SphereHead: Stable 3D Full-head Synthesis with Spherical Tri-plane Representation

Action2Sound: Ambient-Aware Generation of Action Sounds from Egocentric Videos

LLMGA: Multimodal Large Language Model based Generation Assistant

FlashTex: Fast Relightable Mesh Texturing with LightControlNet

Bridging the Gap: Studio-like Avatar Creation from a Monocular Phone Capture

TexDreamer: Towards Zero-Shot High-Fidelity 3D Human Texture Generation

EMO: Emote Portrait Alive - Generating Expressive Portrait Videos with Audio2Video Diffusion Model under Weak Conditions

EmoTalk3D: High-Fidelity Free-View Synthesis of Emotional 3D Talking Head

3D Gaussian Parametric Head Model

Avatar Fingerprinting for Authorized Use of Synthetic Talking-Head Videos

RodinHD: High-Fidelity 3D Avatar Generation with Diffusion Models

PhysAvatar: Learning the Physics of Dressed 3D Avatars from Visual Observations

COMPOSE: Comprehensive Portrait Shadow Editing

GLARE: Low Light Image Enhancement via Generative Latent Feature based Codebook Retrieval

Optimizing Illuminant Estimation in Dual-Exposure HDR Imaging

Holodepth: Programmable Depth-Varying Projection via Computer-Generated Holography

BeNeRF:Neural Radiance Fields from a Single Blurry Image and Event Stream

VEGS: View Extrapolation of Urban Scenes in 3D Gaussian Splatting using Learned Priors

G3R: Gradient Guided Generalizable Reconstruction

Efficient NeRF Optimization - Not All Samples Remain Equally Hard

BAGS: Blur Agnostic Gaussian Splatting through Multi-Scale Kernel Modeling

SlotLifter: Slot-guided Feature Lifting for Learning Object-Centric Radiance Fields

RS-NeRF: Neural Radiance Fields from Rolling Shutter Images

Geometry Fidelity for Spherical Images

CPT-VR: Improving Surface Rendering via Closest Point Transform with View-Reflection Appearance

MetaCap: Meta-learning Priors from Multi-View Imagery for Sparse-view Human Performance Capture and Rendering

Radiative Gaussian Splatting for Efficient X-ray Novel View Synthesis

GGRt: Towards Generalizable 3D Gaussians without Pose Priors in Real-Time

Neural graphics texture compression supporting random access

GS2Mesh: Surface Reconstruction from Gaussian Splatting via Novel Stereo Views

A Compact Dynamic 3D Gaussian Representation for Real-Time Dynamic View Synthesis

Click-Gaussian: Interactive Segmentation to Any 3D Gaussians

McGrids: Monte Carlo-Driven Adaptive Grids for Iso-Surface Extraction

latentSplat: Autoencoding Variational Gaussians for Fast Generalizable 3D Reconstruction

Non-parametric Sensor Noise Modeling and Synthesis

UpFusion: Novel View Diffusion from Unposed Sparse View Observations

MVDD: Multi-View Depth Diffusion Models

LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation

Hypernetworks for Generalizable BRDF Representation

High-Fidelity 3D Textured Shapes Generation by Sparse Encoding and Adversarial Decoding

Structured-NeRF: Hierarchical Scene Graph with Neural Representation

3D-GOI: 3D GAN Omni-Inversion for Multifaceted and Multi-object Editing

Free-Editor: Zero-shot Text-driven 3D Scene Editing

Texture-GS: Disentangle the Geometry and Texture for 3D Gaussian Splatting Editing

VCD-Texture: Variance Alignment based 3D-2D Co-Denoising for Text-Guided Texturing

UniDream: Unifying Diffusion Priors for Relightable Text-to-3D Generation

ScaleDreamer: Scalable Text-to-3D Synthesis with Asynchronous Score Distillation

DreamView: Injecting View-specific Text Guidance into Text-to-3D Generation

SceneTeller: Language-to-3D Scene Generation

Text to Layer-wise 3D Clothed Human Generation

ShoeModel: Learning to Wear on the User-specified Shoes via Diffusion Model

D4-VTON: Dynamic Semantics Disentangling for Differential Diffusion based Virtual Try-On

Within the Dynamic Context: Inertia-aware 3D Human Modeling with Pose Sequence

Ponymation: Learning Articulated 3D Animal Motions from Unlabeled Online Videos

Temporal Residual Jacobians for Rig-free Motion Transfer

PosterLlama: Bridging Design Ability of Langauge Model to Content-Aware Layout Generation

GroundUp: Rapid Sketch-Based 3D City Massing

DiscoMatch: Fast Discrete Optimisation for Geometrically Consistent 3D Shape Matching

FRI-Net: Floorplan Reconstruction via Room-wise Implicit Representation

PointNeRF++: A multi-scale, point-based Neural Radiance Field

Continuous SO(3) Equivariant Convolution for 3D Point Cloud Analysis

UMERegRobust – Universal Manifold Embedding Compatible Features for Robust Point Cloud Registration

FrePolad: Frequency-Rectified Point Latent Diffusion for Point Cloud Generation

Learning to Adapt SAM for Segmenting Cross-domain Point Clouds

Osmosis: RGBD Diffusion Prior for Underwater Image Restoration

Differentiable Product Quantization for Memory Efficient Camera Relocalization

RING-NeRF : Rethinking Inductive Biases for Versatile and Efficient Neural Fields

Light-in-Flight for a World-in-Motion

Binomial Self-compensation for Motion Error in Dynamic 3D Scanning

Non-Line-of-Sight Estimation of Fast Human Motion with Slow Scanning Imagers

Synchronization of Projective Transformations

Semicalibrated Relative Pose from an Affine Correspondence and Monodepth

GMM-IKRS: Gaussian Mixture Models for Interpretable Keypoint Refinement and Scoring

LRSLAM: Low-rank Representation of Signed Distance Fields in Dense Visual SLAM System

SRPose: Two-view Relative Pose Estimation with Sparse Keypoints

Alignist: CAD-Informed Orientation Distribution Estimation by Fusing Shape and Correspondences

U-COPE: Taking a Further Step to Universal 9D Category-level Object Pose Estimation

EgoPoseFormer: A Simple Baseline for Stereo Egocentric 3D Human Pose Estimation

Multi-HMR: Multi-Person Whole-Body Human Mesh Recovery in a Single Shot

Cut out the Middleman: Revisiting Pose-based Gait Recognition

Are Synthetic Data Useful for Egocentric Hand-Object Interaction Detection?

EgoPoser: Robust Real-Time Egocentric Pose Estimation from Sparse and Intermittent Observations Everywhere

3D Hand Sequence Recovery from Real Blurry Images and Event Stream

Dense Hand-Object(HO) GraspNet with Full Grasping Taxonomy and Dynamics

Learning Cross-hand Policies of High-DOF Reaching and Grasping

Free-Viewpoint Video of Outdoor Sports Using a Drone

Unsupervised Exposure Correction

Improving Domain Generalization in Self-Supervised Monocular Depth Estimation via Stabilized Adversarial Training

Deep Cost Ray Fusion for Sparse Depth Video Completion

PatchRefiner: Leveraging Synthetic Data for Real-Domain High-Resolution Monocular Metric Depth Estimation

Depth on Demand: Streaming Dense Depth from a Low Frame Rate Active Sensor

UniCal: Unified Neural Sensor Calibration

Multi-modal Crowd Counting via a Broker Modality

OPEN: Object-wise Position Embedding for Multi-view 3D Object Detection

FSD-BEV: Foreground Self-Distillation for Multi-view 3D Object Detection

MARs: Multi-view Attention Regularizations for Patch-based Feature Recognition of Space Terrain

SparseRadNet: Sparse Perception Neural Network on Subsampled Radar Data

UniM2AE: Multi-modal Masked Autoencoders with Unified 3D Representation for 3D Perception in Autonomous Driving

DeTra: A Unified Model for Object Detection and Trajectory Forecasting

RoScenes: A Large-scale Multi-view 3D Dataset for Roadside Perception

Street Gaussians: Modeling Dynamic Urban Scenes with Gaussian Splatting

PredBench: Benchmarking Spatio-Temporal Prediction across Diverse Disciplines

Sparse Refinement for Efficient High-Resolution Semantic Segmentation

InsMapper: Exploring Inner-instance Information for Vectorized HD Mapping

PreSight: Enhancing Autonomous Vehicle Perception with City-Scale NeRF Priors

Unified Local-Cloud Decision-Making via Reinforcement Learning

Generative End-to-End Autonomous Driving

MART: MultiscAle Relational Transformer Networks for Multi-agent Trajectory Prediction

Improving Agent Behaviors with RL Fine-tuning for Autonomous Driving

LayeredFlow: A Real-World Benchmark for Non-Lambertian Multi-Layer Optical Flow

Decomposition Betters Tracking Everything Everywhere

Match-Stereo-Videos: Bidirectional Alignment for Consistent Dynamic Stereo Matching

Efficient Learning of Event-based Dense Representation using Hierarchical Memories with Adaptive Update

Towards Real-world Event-guided Low-light Video Enhancement and Deblurring

Understanding Physical Dynamics with Counterfactual World Modeling

Prompting Future Driven Diffusion Model for Hand Motion Prediction

Nymeria: A Massive Collection of Egocentric Multi-modal Human Motion in the Wild

Motion Mamba: Efficient and Long Sequence Motion Generation

TLControl: Trajectory and Language Control for Human Motion Synthesis

ParCo: Part-Coordinating Text-to-Motion Synthesis

BAMM: Bidirectional Autoregressive Motion Model

Pose Guided Fine-Grained Sign Language Video Generation

DreamMover: Leveraging the Prior of Diffusion Models for Image Interpolation with Large Motion

Animate Your Motion: Turning Still Images into Dynamic Videos

V-Trans4Style: Visual Transition Recommendation for Video Production Style Adaptation

DragVideo: Interactive Drag-style Video Editing

StoryImager: A Unified and Efficient Framework for Coherent Story Visualization and Completion

MagDiff: Multi-Alignment Diffusion for High-Fidelity Video Generation and Editing

FlexiEdit: Frequency-Aware Latent Refinement for Enhanced Non-Rigid Editing

Lazy Diffusion Transformer for Interactive Image Editing

WaSt-3D: Wasserstein-2 Distance for Scene-to-Scene Stylization on 3D Gaussians

Layered Rendering Diffusion Model for Controllable Zero-Shot Image Synthesis

Commonly Interesting Images

InstructGIE: Towards Generalizable Image Editing

The Lottery Ticket Hypothesis in Denoising: Towards Semantic-Driven Initialization

CTRLorALTer: Conditional LoRAdapter for Efficient 0-Shot Control & Altering of T2I Models

Zero-shot Text-guided Infinite Image Synthesis with LLM guidance

Improving Text-guided Object Inpainting with Semantic Pre-inpainting

Customized Generation Reimagined: Fidelity and Editability Harmonized

ColorPeel: Color Prompt Learning with Diffusion Models via Color and Shape Disentanglement

ViPer: Visual Personalization of Generative Models via Individual Preference Learning

MobileDiffusion: Instant Text-to-Image Generation on Mobile Devices

MasterWeaver: Taming Editability and Face Identity for Personalized Text-to-Image Generation

Towards Reliable Advertising Image Generation Using Human Feedback

IMMA: Immunizing text-to-image Models against Malicious Adaptation

PreciseControl: Enhancing Text-To-Image Diffusion Models with Fine-Grained Attribute Control

AddMe: Zero-shot Group-photo Synthesis by Inserting People into Scenes

UniProcessor: A Text-induced Unified Low-level Image Processor

Iterative Ensemble Training with Anti-Gradient Control for Mitigating Memorization in Diffusion Models

EBDM: Exemplar-guided Image Translation with Brownian-bridge Diffusion Models

Assessing Sample Quality via the Latent Space of Generative Models

Mixture of Efficient Diffusion Experts Through Automatic Interval and Sub-Network Selection

SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers

Efficient Training with Denoised Neural Weights

FouriScale: A Frequency Perspective on Training-Free High-Resolution Image Synthesis

A Task is Worth One Word: Learning with Task Prompts for High-Quality Versatile Image Inpainting

Unleashing the Potential of the Semantic Latent Space in Diffusion Models for Image Dehazing

DSMix: Distortion-Induced Saliency Map Based Pre-training for No-Reference Image Quality Assessment

DiffBIR: Toward Blind Image Restoration with Generative Diffusion Prior

Restoring Images in Adverse Weather Conditions via Histogram Transformer

You Only Need One Step: Fast Super-Resolution with Stable Diffusion via Scale Distillation

Adaptive Multi-modal Fusion of Spatially Variant Kernel Refinement with Diffusion Model for Blind Image Super-Resolution

Efficient Cascaded Multiscale Adaptive Network for Image Restoration

Hybrid Video Diffusion Models with 2D Triplane and 3D Wavelet Representation

Arbitrary-Scale Video Super-Resolution with Structural and Textural Priors

Taming Lookup Tables for Efficient Image Retouching

Quanta Video Restoration

Two-Stage Video Shadow Detection via Temporal-Spatial Adaption

Handling The Non-Smooth Challenge in Tensor SVD: A Multi-Objective Tensor Recovery Framework

Identity-Consistent Diffusion Network for Grading Knee Osteoarthritis Progression in Radiographic Imaging

NePhi: Neural Deformation Fields for Approximately Diffeomorphic Medical Image Registration

Neural Metamorphosis

Online Video Quality Enhancement with Spatial-Temporal Look-up Tables

EAS-SNN: End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks

LaWa: Using Latent Space for In-Generation Image Watermarking

PairingNet: A Learning-based Pair-searching and -matching Network for Image Fragments

Delving into Adversarial Robustness on Document Tampering Localization

Contrasting Deepfakes Diffusion via Contrastive Learning and Global-Local Similarities

Forbes: Face Obfuscation Rendering via Backpropagation Refinement Scheme

Prediction Exposes Your Face: Black-box Model Inversion via Prediction Alignment

Generalizable Facial Expression Recognition

Ex2Eg-MAE: A Framework for Adaptation of Exocentric Video Masked Autoencoders for Egocentric Social Role Understanding

MinD-3D: Reconstruct High-quality 3D objects in Human Brain

Pathformer3D: A 3D Scanpath Transformer for 360° Images

Eliminating Warping Shakes for Unsupervised Online Video Stitching

OneVOS: Unifying Video Object Segmentation with All-in-One Transformer Framework

Semantically Guided Representation Learning For Action Anticipation

SIGMA: Sinkhorn-Guided Masked Video Modeling

Rethinking Image-to-Video Adaptation: An Object-centric Perspective

RICA^2: Rubric-Informed, Calibrated Assessment of Actions

VideoStudio: Generating Consistent-Content and Multi-Scene Videos

Training-free Video Temporal Grounding using Large-scale Pre-trained Models

EA-VTR: Event-Aware Video-Text Retrieval

Rethinking Video-Text Understanding: Retrieval from Counterfactually Augmented Data

FunQA: Towards Surprising Video Comprehension

Learning to Localize Actions in Instructional Videos with LLM-Based Multi-Pathway Text-Video Alignment

Efficient Pre-training for Localized Instruction Generation of Procedural Videos

Learning Trimodal Relation for Audio-Visual Question Answering with Missing Modality

Can Textual Semantics Mitigate Sounding Object Segmentation Preference?

Visual Alignment Pre-training for Sign Language Translation

Cross-Platform Video Person ReID: A New Benchmark Dataset and Adaptation Approach

Spectral Subsurface Scattering for Material Classification

MMEarth: Exploring Multi-Modal Pretext Tasks For Geospatial Representation Learning

MeshVPR: Citywide Visual Place Recognition Using 3D Meshes

Frontier-enhanced Topological Memory with Improved Exploration Awareness for Embodied Visual Navigation

Asynchronous Large Language Model Enhanced Planner for Autonomous Driving

Controllable Navigation Instruction Generation with Chain of Thought Prompting

NavGPT-2: Unleashing Navigational Reasoning Capability for Large Vision-Language Models

Towards Natural Language-Guided Drones: GeoText-1652 Benchmark with Spatial Relation Matching

INTRA: Interaction Relationship-aware Weakly Supervised Affordance Grounding

SceneVerse: Scaling 3D Vision-Language Learning for Grounded Scene Understanding

Ferret-UI: Grounded Mobile UI Understanding with Multimodal LLMs

Quality Assured: Rethinking Annotation Strategies in Imaging AI

BenchLMM: Benchmarking Cross-style Visual Capability of Large Multimodal Models

Boosting the Power of Small Multimodal Reasoning Models to Match Larger Models with Self-Consistency Training

A Multimodal Benchmark Dataset and Model for Crop Disease Diagnosis

Contrastive Region Guidance: Improving Grounding in Vision-Language Models without Training

DEAL: Disentangle and Localize Concept-level Explanations for VLMs

Safe-CLIP: Removing NSFW Concepts from Vision-and-Language Models

FineMatch: Aspect-based Fine-grained Image and Text Mismatch Detection and Correction

Instruction Tuning-free Visual Token Complement for Multimodal LLMs

IVTP: Instruction-guided Visual Token Pruning for Large Vision-Language Models

LookupViT: Compressing visual information to a limited number of tokens

SPHINX: A Mixer of Weights, Visual Embeddings and Image Scales for Multi-modal Large Language Models

Integration of Global and Local Representations for Fine-grained Cross-modal Alignment

Textual-Visual Logic Challenge: Understanding and Reasoning in Text-to-Image Generation

MyVLM: Personalizing VLMs for User-Specific Queries

ShareGPT4V: Improving Large Multi-Modal Models with Better Captions

View Selection for 3D Captioning via Diffusion Ranking

GRiT: A Generative Region-to-text Transformer for Object Understanding

FreestyleRet: Retrieving Images from Style-Diversified Queries

LG-Gaze: Learning Geometry-aware Continuous Prompts for Language-Guided Gaze Estimation

OAT: Object-Level Attention Transformer for Gaze Scanpath Prediction

Three Things We Need to Know About Transferring Stable Diffusion to Visual Dense Prediciton Tasks

TAG: Text Prompt Augmentation for Zero-Shot Out-of-Distribution Detection

Centering the Value of Every Modality: Towards Efficient and Resilient Modality-agnostic Semantic Segmentation

Textual Grounding for Open-vocabulary Visual Information Extraction in Layout-diversified Documents

Region-centric Image-Language Pretraining for Open-Vocabulary Detection

Find n' Propagate: Open-Vocabulary 3D Object Detection in Urban Environments

Four Ways to Improve Verbo-visual Fusion for Dense 3D Visual Grounding

Exploring Phrase-Level Grounding with Text-to-Image Diffusion Model

Pseudo-RIS: Distinctive Pseudo-supervision Generation for Referring Image Segmentation

SegVG: Transferring Object Bounding Box to Segmentation for Visual Grounding

PSALM: Pixelwise Segmentation with Large Multi-modal Model

Grid-Attention: Enhancing Computational Efficiency of Large Vision Models without Fine-Tuning

OTSeg: Multi-prompt Sinkhorn Attention for Zero-Shot Semantic Segmentation

On the Viability of Monocular Depth Pre-training for Semantic Segmentation

Rethinking and Improving Visual Prompt Selection for In-Context Learning Segmentation Framework

Open-Vocabulary Camouflaged Object Segmentation

From Pixels to Objects: A Hierarchical Approach for Part and Object Segmentation Using Local and Global Aggregation

3x2: 3D Object Part Segmentation by 2D Semantic Correspondences

Train Till You Drop: Towards Stable and Robust Source-free Unsupervised 3D Domain Adaptation

Make a Strong Teacher with Label Assistance: A Novel Knowledge Distillation Approach for Semantic Segmentation

Mitigating Background Shift in Class-Incremental Semantic Segmentation

LASS3D: Language-Assisted Semi-Supervised 3D Semantic Segmentation with Progressive Unreliable Data Exploitation

Point-supervised Panoptic Segmentation via Estimating Pseudo Labels from Learnable Distance

Diffusion Model for Robust Multi-Sensor Fusion in 3D Object Detection and BEV Segmentation

Zero-shot Object Counting with Good Exemplars

SMILe: Leveraging Submodular Mutual Information For Robust Few-Shot Object Detection

Enhancing Source-Free Domain Adaptive Object Detection with Low-confidence Pseudo Label Distillation

MonoTTA: Fully Test-Time Adaptation for Monocular 3D Object Detection

AugDETR: Improving Multi-scale Learning for Detection Transformer

Urban Waterlogging Detection: A Challenging Benchmark and Large-Small Model Co-Adapter

DAMSDet: Dynamic Adaptive Multispectral Detection Transformer with Competitive Query Selection and Adaptive Feature Fusion

PMT: Progressive Mean Teacher via Exploring Temporal Consistency for Semi-Supervised Medical Image Segmentation

ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Biomedical Image

Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification

GTP-4o: Modality-prompted Heterogeneous Graph Learning for Omni-modal Biomedical Representation

R3D-AD: Reconstruction via Diffusion for 3D Anomaly Detection

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation

Continuous Memory Representation for Anomaly Detection

Learning Anomalies with Normality Prior for Unsupervised Video Anomaly Detection

Superpixel-informed Implicit Neural Representation for Multi-Dimensional Data

Comprehensive Attribution: Inherently Explainable Vision Model with Feature Detector

Fairness-aware Vision Transformer via Debiased Self-Attention

AdaLog: Post-Training Quantization for Vision Transformers with Adaptive Logarithm Quantizer

LiFT: A Surprisingly Simple Lightweight Feature Transform for Dense ViT Descriptors

Deep Nets with Subsampling Layers Unwittingly Discard Useful Activations at Test-Time

Modality Translation for Object Detection Adaptation without forgetting prior knowledge

Dyn-Adapter: Towards Disentangled Representation for Efficient Visual Recognition

Scaling Backwards: Minimal Synthetic Pre-training?

EntAugment: Entropy-Driven Adaptive Data Augmentation Framework for Image Classification

Training-Free Model Merging for Multi-target Domain Adaptation

CoDA: Instructive Chain-of-Domain Adaptation with Severity-Aware Visual Prompt Tuning

Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning

Improving Zero-shot Generalization of Learned Prompts via Unsupervised Knowledge Distillation

Semantic-guided Robustness Tuning for Few-Shot Transfer Across Extreme Domain Shift

Explain via Any Concept: Concept Bottleneck Model with Open Vocabulary Concepts

Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck Models

FlowCon: Out-of-Distribution Detection using Flow-based Contrastive Learning

PixOOD: Pixel-Level Out-of-Distribution Detection

Distributionally Robust Loss for Long-Tailed Multi-Label Image Classification

Improving 3D Semi-supervised Learning by Effectively Utilizing All Unlabelled Data

GKGNet: Group K-Nearest Neighbor based Graph Convolutional Network for Multi-Label Image Recognition

Generalized Coverage for More Robust Low-Budget Active Learning

Robust Nearest Neighbors for Source-Free Domain Adaptation under Class Distribution Shift

Category Adaptation Meets Projected Distillation in Generalized Continual Category Discovery

CroMo-Mixup: Augmenting Cross-Model Representations for Continual Self-Supervised Learning

Disentangling Masked Autoencoders for Unsupervised Domain Generalization

Class-Incremental Learning with CLIP: Adaptive Representation Adjustment and Parameter Fusion

Bad Students Make Great Teachers: Active Learning Accelerates Large-Scale Visual Understanding

Information Bottleneck Based Data Correction in Continual Learning

Beyond Prompt Learning: Continual Adapter for Efficient Rehearsal-Free Continual Learning

Markov Knowledge Distillation: Make Nasty Teachers trained by Self-undermining Knowledge Distillation Fully Distillable

FedRA: A Random Allocation Strategy for Federated Tuning to Unleash the Power of Heterogeneous Clients

SkyMask: Attack-agnostic Robust Federated Learning with Fine-grained Learnable Masks

SuperFedNAS: Cost-Efficient Federated Neural Architecture Search for On-Device Inference

Adversarially Robust Distillation by Reducing the Student-Teacher Variance Gap

Uncertainty Calibration with Energy Based Instance-wise Scaling in the Wild Dataset

Preventing Catastrophic Overfitting in Fast Adversarial Training: A Bi-level Optimization Perspective

Catastrophic Overfitting: A Potential Blessing in Disguise

Cocktail Universal Adversarial Attack on Deep Neural Networks

Unveiling Privacy Risks in Stochastic Neural Networks Training: Effective Image Reconstruction from Gradients

Rethinking Data Bias: Dataset Copyright Protection via Embedding Class-wise Hidden Bias

CatchBackdoor: Backdoor Detection via Critical Trojan Neural Path Fuzzing

(ends 9:30 AM)

9:30 a.m.

Reception:

Welcome Reception

(ends 10:30 AM)

11 p.m.

Registration

(ends 9:30 AM)

WED 2 OCT

midnight

Demo Session 2A [12:00-3:30]

Demonstrations 12:00-3:30

Real-time Multi-Person Whole-Body Human Mesh Recovery with Multi-HMR

PROCEDO: A real-time assistant for everyday procedures

SLAM with Stereo Event Cameras

AI3D Sculpt - Create 3D by rough sculpting 3D to 3D in 3D

Better Call SAL: Segment Anything in Lidar

(ends 3:30 AM)

Oral 3A: Datasets And Benchmarking [12:00-1:30]

Orals 12:00-1:20

[12:00] PetFace: A Large-Scale Dataset and Benchmark for Animal Identification

[12:10] UniIR: Training and Benchmarking Universal Multimodal Information Retrievers

[12:20] Towards Model-Agnostic Dataset Condensation by Heterogeneous Models

[12:30] Parrot Captions Teach CLIP to Spot Text

[12:40] Towards Open-ended Visual Quality Comparison

[12:50] VETRA: A Dataset for Vehicle Tracking in Aerial Imagery - New Challenges for Multi-Object Tracking

[1:00] Insect Identification in the Wild: The AMI Dataset

[1:10] MarineInst: A Foundation Model for Marine Image Analysis with Instance Visual Description

(ends 1:30 AM)

Oral 3B: Medical And Biological Imaging [12:00-1:30]

Orals 12:00-1:20

[12:00] PathMMU: A Massive Multimodal Expert-Level Benchmark for Understanding and Reasoning in Pathology

[12:10] Self-Supervised Video Desmoking for Laparoscopic Surgery

[12:20] CardiacNet: Learning to Reconstruct Abnormalities for Cardiac Disease Assessment from Echocardiogram Videos

[12:30] Rethinking Deep Unrolled Model for Accelerated MRI Reconstruction

[12:40] Adaptive Correspondence Scoring for Unsupervised Medical Image Registration

[12:50] Revisiting Adaptive Cellular Recognition Under Domain Shifts: A Contextual Correspondence View

[1:00] SparseSSP: 3D Subcellular Structure Prediction from Sparse-View Transmitted Light Images

[1:10] Knowledge-enhanced Visual-Language Pretraining for Computational Pathology

(ends 1:30 AM)

Oral 3C: Point Clouds [12:00-1:30]

Orals 12:00-1:20

[12:00] HGL: Hierarchical Geometry Learning for Test-time Adaptation in 3D Point Cloud Segmentation

[12:10] PointLLM: Empowering Large Language Models to Understand Point Clouds

[12:20] RISurConv: Rotation Invariant Surface Attention-Augmented Convolutions for 3D Point Cloud Classification and Segmentation

[12:30] DVLO: Deep Visual-LiDAR Odometry with Local-to-Global Feature Fusion and Bi-Directional Structure Alignment

[12:40] KeypointDETR: An End-to-End 3D Keypoint Detector

[12:50] Rethinking Data Augmentation for Robust LiDAR Semantic Segmentation in Adverse Weather

[1:00] RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR Segmentation

[1:10] Equi-GSPR: Equivariant SE(3) Graph Network Model for Sparse Point Cloud Registration

(ends 1:30 AM)

1:30 a.m.

Break:

Coffee Break

(ends 2:00 AM)

Poster Session 3 [1:30-3:30]

Posters 1:30-3:30

Parrot Captions Teach CLIP to Spot Text

Towards Model-Agnostic Dataset Condensation by Heterogeneous Models

VETRA: A Dataset for Vehicle Tracking in Aerial Imagery - New Challenges for Multi-Object Tracking

Insect Identification in the Wild: The AMI Dataset

Towards Open-ended Visual Quality Comparison

UniIR: Training and Benchmarking Universal Multimodal Information Retrievers

MarineInst: A Foundation Model for Marine Image Analysis with Instance Visual Description

Adaptive Correspondence Scoring for Unsupervised Medical Image Registration

Revisiting Adaptive Cellular Recognition Under Domain Shifts: A Contextual Correspondence View

Knowledge-enhanced Visual-Language Pretraining for Computational Pathology

SparseSSP: 3D Subcellular Structure Prediction from Sparse-View Transmitted Light Images

CardiacNet: Learning to Reconstruct Abnormalities for Cardiac Disease Assessment from Echocardiogram Videos

PathMMU: A Massive Multimodal Expert-Level Benchmark for Understanding and Reasoning in Pathology

PointLLM: Empowering Large Language Models to Understand Point Clouds

HGL: Hierarchical Geometry Learning for Test-time Adaptation in 3D Point Cloud Segmentation

Rethinking Data Augmentation for Robust LiDAR Semantic Segmentation in Adverse Weather

RISurConv: Rotation Invariant Surface Attention-Augmented Convolutions for 3D Point Cloud Classification and Segmentation

RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR Segmentation

KeypointDETR: An End-to-End 3D Keypoint Detector

All You Need is Your Voice: Emotional Face Representation with Audio Perspective for Emotional Talking Face Generation

TalkingGaussian: Structure-Persistent 3D Talking Head Synthesis via Gaussian Splatting

HeadGaS: Real-Time Animatable Head Avatars via 3D Gaussian Splatting

Stable Video Portraits

iHuman: Instant Animatable Digital Humans From Monocular Videos

POCA: Post-training Quantization with Temporal Alignment for Codec Avatars

Towards Image Ambient Lighting Normalization

LightenDiffusion: Unsupervised Low-Light Image Enhancement with Latent-Retinex Diffusion Models

Efficient Snapshot Spectral Imaging: Calibration-Free Parallel Structure with Aperture Diffraction Fusion

Physically Plausible Color Correction for Neural Radiance Fields

DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images

Volumetric Rendering with Baked Quadrature Fields

Depth-guided NeRF Training via Earth Mover’s Distance

RoGUENeRF: A Robust Geometry-Consistent Universal Enhancer for NeRF

Deblurring 3D Gaussian Splatting

Distractor-Free Novel View Synthesis via Exploiting Memorization Effect in Optimization

TriNeRFLet: A Wavelet Based Triplane NeRF Representation

LaRa: Efficient Large-Baseline Radiance Fields

RANRAC: Robust Neural Scene Representations via Random Ray Consensus

SparseCraft: Few-Shot Neural Reconstruction through Stereopsis Guided Geometric Linearization

Learning Representations from Foundation Models for Domain Generalized Stereo Matching

CoR-GS: Sparse-View 3D Gaussian Splatting via Co-Regularization

CG-SLAM: Efficient Dense RGB-D SLAM in a Consistent Uncertainty-aware 3D Gaussian Field

SplatFields: Neural Gaussian Splats for Sparse 3D and 4D Reconstruction

On the Error Analysis of 3D Gaussian Splatting and an Optimal Projection Strategy

Revising Densification in Gaussian Splatting

MesonGS: Post-training Compression of 3D Gaussians via Efficient Attribute Transformation

Topology-Preserving Downsampling of Binary Images

Zero-Shot Multi-Object Scene Completion

PanoFree: Tuning-Free Holistic Multi-view Image Generation with Cross-view Self-Guidance

VFusion3D: Learning Scalable 3D Generative Models from Video Diffusion Models

Analysis-by-Synthesis Transformer for Single-View 3D Reconstruction

Decomposition of Neural Discrete Representations for Large-Scale 3D Mapping

COSMU: Complete 3D human shape from monocular unconstrained images

MeshFeat: Multi-Resolution Features for Neural Fields on Meshes

Real-time 3D-aware Portrait Editing from a Single Image

An Optimization Framework to Enforce Multi-View Consistency for Texturing 3D Meshes

RoomTex: Texturing Compositional Indoor Scenes via Iterative Inpainting

Scene-Conditional 3D Object Stylization and Composition

DreamScene: 3D Gaussian-based Text-to-3D Scene Generation via Formation Pattern Sampling

BeyondScene: Higher-Resolution Human-Centric Scene Generation With Pretrained Diffusion

Chains of Diffusion Models

NeuSDFusion: A Spatial-Aware Generative Model for 3D Shape Completion, Reconstruction, and Generation

Learning Neural Deformation Representation for 4D Dynamic Shape Generation

Improving Diffusion Models for Authentic Virtual Try-on in the Wild

Towards High-Quality 3D Motion Transfer with Realistic Apparel Animation

GIVT: Generative Infinite-Vocabulary Transformers

Reconstruction and Simulation of Elastic Objects with Spring-Mass 3D Gaussians

LayoutDETR: Detection Transformer Is a Good Multimodal Layout Designer

ZigMa: A DiT-style Zigzag Mamba Diffusion Model

Deep Diffusion Image Prior for Efficient OOD Adaptation in 3D Inverse Problems

Neural Surface Detection for Unsigned Distance Fields

VF-NeRF: Viewshed Fields for Rigid NeRF Registration

Equi-GSPR: Equivariant SE(3) Graph Network Model for Sparse Point Cloud Registration

Transferable 3D Adversarial Shape Completion using Diffusion Models

Fast Training of Diffusion Transformer with Extreme Masking for 3D Point Clouds Generation

PointRegGPT: Boosting 3D Point Cloud Registration using Generative Point-Cloud Pairs for Training

Progressive Classifier and Feature Extractor Adaptation for Unsupervised Domain Adaptation on Point Clouds

Domain Generalization of 3D Object Detection by Density-Resampling

Heterogeneous Graph Learning for Scene Graph Prediction in 3D Point Clouds

Physics-informed Knowledge Transfer for Underwater Monocular Depth Estimation

Improving 2D Feature Representations by 3D-Aware Fine-Tuning

SpaceJAM: a Lightweight and Regularization-free Method for Fast Joint Alignment of Images

3D Congealing: 3D-Aware Image Alignment in the Wild

Reprojection Errors as Prompts for Efficient Scene Coordinate Regression

Revisiting Calibration of Wide-Angle Radially Symmetric Cameras

RGBD GS-ICP SLAM

FastCAD: Real-Time CAD Retrieval and Alignment from Scans and Videos

GS-Pose: Category-Level Object Pose Estimation via Geometric and Semantic Correspondence

Omni6D: Large-Vocabulary 3D Object Dataset for Category-Level 6D Object Pose Estimation

Rotated Orthographic Projection for Self-Supervised 3D Human Pose Estimation

Diffusion Model is a Good Pose Estimator from 3D RF-Vision

Occlusion Handling in 3D Human Pose Estimation with Perturbed Positional Encoding

Coarse-to-Fine Implicit Representation Learning for 3D Hand-Object Reconstruction from a Single RGB-D Image

3D Reconstruction of Objects in Hands without Real World 3D Supervision

Weakly-Supervised 3D Hand Reconstruction with Knowledge Prior and Uncertainty Guidance

MANIKIN: Biomechanically Accurate Neural Inverse Kinematics for Human Motion Estimation

Local Occupancy-Enhanced Object Grasping with Multiple Triplanar Projection

GraspXL: Generating Grasping Motions for Diverse Objects at Scale

HSR: Holistic 3D Human-Scene Reconstruction from Monocular Videos

Object-Aware NIR-to-Visible Translation

SEDiff: Structure Extraction for Domain Adaptive Depth Estimation via Denoising Diffusion Models

Sparse Beats Dense: Rethinking Supervision in Radar-Camera Depth Completion

Camera Height Doesn't Change: Unsupervised Training for Metric Monocular Road-Scene Depth Estimation

Adapting Fine-Grained Cross-View Localization to Areas without Fine Ground Truth

DVLO: Deep Visual-LiDAR Odometry with Local-to-Global Feature Fusion and Bi-Directional Structure Alignment

Ray Denoising: Depth-aware Hard Negative Sampling for Multi-view 3D Object Detection

DA-BEV: Unsupervised Domain Adaptation for Bird's Eye View Perception

LabelDistill: Label-guided Cross-modal Knowledge Distillation for Camera-based 3D Object Detection

Detecting As Labeling: Rethinking LiDAR-camera Fusion in 3D Object Detection

RecurrentBEV: A Long-term Temporal Fusion Framework for Multi-view 3D Detection

JDT3D: Addressing the Gaps in LiDAR-Based Tracking-by-Attention

MMVR: Millimeter-wave Multi-View Radar Dataset and Benchmark for Indoor Perception

UAV First-Person Viewers Are Radiance Field Learners

Caltech Aerial RGB-Thermal Dataset in the Wild

V2X-Real: a Largs-Scale Dataset for Vehicle-to-Everything Cooperative Perception

CVT-Occ: Cost Volume Temporal Fusion for 3D Occupancy Prediction

Revisit Human-Scene Interaction via Space Occupancy

Enhancing Vectorized Map Perception with Historical Rasterized Maps

RoadPainter: Points Are Ideal Navigators for Topology transformER

VisionTrap: Vision-Augmented Trajectory Prediction Guided by Textual Descriptions

DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

SLEDGE: Synthesizing Driving Environments with Generative Models and Rule-Based Traffic

Self-Supervised Video Desmoking for Laparoscopic Surgery

BlinkVision: A Benchmark for Optical Flow, Scene Flow and Point Tracking Estimation using RGB Frames and Events

LiDAR-Event Stereo Fusion with Hallucinations

Temporal-Mapping Photography for Event Cameras

Motion Aware Event Representation-driven Image Deblurring

Event-Based Motion Magnification

Bidirectional Progressive Transformer for Interaction Intention Anticipation

Reinforcement Learning via Auxillary Task Distillation

COIN: Control-Inpainting Diffusion Prior for Human and Camera Motion Estimation

EMDM: Efficient Motion Diffusion Model for Fast, High-Quality Human Motion Generation

MotionChain: Conversational Motion Controllers via Multimodal Prompts

M2D2M: Multi-Motion Generation from Text with Discrete Diffusion Models

SMooDi: Stylized Motion Diffusion Model

IDOL: Unified Dual-Modal Latent Diffusion for Human-Centric Joint Video-Depth Generation

PhysGen: Rigid-Body Physics-Grounded Image-to-Video Generation

SAVE: Protagonist Diversification with Structure Agnostic Video Editing

Kinetic Typography Diffusion Model

DeCo: Decoupled Human-Centered Diffusion Video Editing with Motion Consistency

StableDrag: Stable Dragging for Point-based Image Editing

Eta Inversion: Designing an Optimal Eta Function for Diffusion-based Real Image Editing

Curved Diffusion: A Generative Model With Optical Geometry Control

Tuning-Free Image Customization with Image and Text Guidance

StyleTokenizer: Defining Image Style by a Single Instance for Controlling Diffusion Models

AID-AppEAL: Automatic Image Dataset and Algorithm for Content Appeal Enhancement and Assessment Labeling

DreamDiffusion: High-Quality EEG-to-Image Generation with Temporal Masked Signal Modeling and CLIP Alignment

TP2O: Creative Text Pair-to-Object Generation using Balance Swap-Sampling

Glyph-ByT5: A Customized Text Encoder for Accurate Visual Text Rendering

AccDiffusion: An Accurate Method for Higher-Resolution Image Generation

The Fabrication of Reality and Fantasy: Scene Generation with LLM-Assisted Prompt Interpretation

DCDM: Diffusion-Conditioned-Diffusion Model for Scene Text Image Super-Resolution

MaxFusion: Plug&Play Multi-Modal Generation in Text-to-Image Diffusion Models

ComFusion: Enhancing Personalized Generation by Instance-Scene Compositing and Fusion

PEA-Diffusion: Parameter-Efficient Adapter with Knowledge Distillation in non-English Text-to-Image Generation