CVPR 2023 Schedule

Filter Events

Filter Rooms:

SUN 18 JUN

7:30 a.m.

Breakfast:

Breakfast

(ends 9:00 AM)

7:50 a.m.

Workshop:

Synthetic Data for Autonomous Systems (SDAS)

(ends 12:30 PM)

Workshop:

The Second Workshop on Structural and Compositional Learning on 3D Data

(ends 12:30 PM)

Workshop:

The 2nd International Workshop on Transformers for Vision

(ends 5:30 PM)

8 a.m.

Workshop:

The Fourth Workshop on Fair, Data-efficient, and Trusted Computer Vision

(ends 4:30 PM)

Workshop:

OmniLabel: Infinite label spaces for semantic understanding via natural language

(ends 12:00 PM)

Workshop:

Second Workshop of Mobile Intelligent Photography and Imaging

(ends 12:00 PM)

Workshop:

8th New Trends in Image Restoration and Enhancement Workshop and Challenges

(ends 7:00 PM)

Workshop:

1st Workshop on Multimodal Content Moderation

(ends 6:00 PM)

Workshop:

Third Workshop on Ethical Considerations in Creative Applications of Computer Vision - EC3V

(ends 12:10 PM)

Workshop:

CVPR 2023 - 10th Workshop on Medical Computer Vision (MCV)

(ends 4:00 PM)

Workshop:

The 3rd Workshop of Adversarial Machine Learning on Computer Vision: Art of Robustness

(ends 4:00 PM)

Workshop:

The Second Workshop on 3D Vision and Robotics

(ends 6:00 PM)

Workshop:

New Frontiers for Zero-Shot Image Captioning Evaluation

(ends 12:00 PM)

8:20 a.m.

Workshop:

DL-UIA: Deep Learning in Ultrasound Image Analysis

(ends 12:00 PM)

8:25 a.m.

Workshop:

GAZE 2023: The 5th International Workshop on Gaze Estimation and Prediction in the Wild

(ends 12:00 PM)

8:30 a.m.

Workshop:

LatinX in Computer Vision Research Workshop

(ends 6:00 PM)

Workshop:

19th CVPR Workshop on Perception Beyond the Visible Spectrum (PBVS 2023)

(ends 5:30 PM)

Workshop:

Generative Models for Computer Vision

(ends 5:15 PM)

Workshop:

XRNeRF: Advances in NeRF for the Metaverse

(ends 12:30 PM)

Workshop:

VAND: Visual Anomaly and Novelty Detection

(ends 12:30 PM)

Workshop:

Catch UAVs that Want to Watch You: Detection and Tracking of Unmanned Aerial Vehicle (UAV) in the Wild and the 3rd Anti-UAV Workshop & Challenge

(ends 12:10 PM)

Workshop:

2nd Monocular Depth Estimation Challenge

(ends 12:00 PM)

Workshop:

4th Workshop on Continual Learning in Computer Vision (CLVision)

(ends 5:30 PM)

Workshop:

4th International Workshop on Large Scale Holistic Video Understanding

(ends 12:00 PM)

Tutorial:

Recent advances in anomaly detection

(ends 5:15 PM)

Tutorial:

A Comprehensive Tour and Recent Advancements toward Real-world Visual Geo-Localization

(ends 5:30 PM)

Tutorial:

Efficient Neural Networks: From Algorithm Design to Practical Mobile Deployment

(ends 12:00 PM)

Tutorial:

Recent Advances in Visual Domain Adaptation and Generalization

(ends 11:45 AM)

Tutorial:

Trustworthy AI in the Era of Foundation Models

(ends 11:45 AM)

Tutorial:

ML Systems for Large Models and Federated Learning

(ends 11:45 AM)

Tutorial:

Vision Transformer: More is different

(ends 11:45 AM)

8:45 a.m.

Workshop:

Topological, Algebraic, and Geometric Pattern Recognition with Applications Workshop Proposal

(ends 5:30 PM)

Workshop:

7th Workshop on Media Forensics

(ends 5:30 PM)

Workshop:

FGVC10: 10th Workshop on Fine-grained Visual Categorization

(ends 4:45 PM)

8:55 a.m.

Workshop:

3rd International Workshop and Challenge on Long-form Video Understanding and Generation

(ends 12:35 PM)

9 a.m.

Workshop:

Workshop on End-to-end Autonomous Driving

(ends 6:00 PM)

Workshop:

Visual Perception via Learning in an Open World

(ends 5:00 PM)

Workshop:

Computer Vision for Mixed Reality

(ends 12:30 PM)

Workshop:

CVPR 2023 Biometrics Workshop

(ends 5:30 PM)

Workshop:

12th IEEE International Workshop on Computational Cameras and Displays (CCD)

(ends 5:00 PM)

Workshop:

EarthVision: Large Scale Computer Vision for Remote Sensing Imagery

(ends 5:45 PM)

Workshop:

3rd Workshop and Challenge on Computer Vision in the Built Environment for the Design, Construction, and Operation of Buildings

(ends 6:00 PM)

Workshop:

Fourth Workshop on Neural Architecture Search, Third lightweight NAS challenge

(ends 6:00 PM)

Workshop:

2nd Workshop on Tracking and Its Many Guises: Tracking Any Object in Open-World

(ends 5:00 PM)

Workshop:

The 4th CVPR Workshop on 3D Scene Understanding for Vision, Graphics, and Robotics

(ends 5:30 PM)

Tutorial:

Denoising Diffusion Models: A Generative Learning Big Bang

(ends 12:30 PM)

Tutorial:

Boosting Computer Vision Research with OpenMMLab and OpenDataLab

(ends 12:00 PM)

Tutorial:

All Things ViTs: Understanding and Interpreting Attention in Vision

(ends 12:00 PM)

9:15 a.m.

Workshop:

Workshop on Autonomous Driving (WAD)

(ends 6:15 PM)

Workshop:

6th Multi-modal Learning and Applications Workshop (MULA)

(ends 6:00 PM)

Workshop:

New Frontiers in Visual Language Reasoning: Compositionality, Prompts and Causality

(ends 5:30 PM)

9:20 a.m.

Workshop:

CV4Animals: Computer Vision for Animal Behavior Tracking and Modeling (Workshop)

(ends 5:45 PM)

9:30 a.m.

Tutorial:

Skull Restoration, Facial Reconstruction and Expression

(ends 11:45 AM)

10 a.m.

Break:

Break

(ends 10:45 AM)

11:45 a.m.

Break:

Lunch

(ends 1:30 PM)

12:30 p.m.

Workshop:

End-to-End Autonomous Driving: Perception, Prediction, Planning and Simulation

(ends 7:05 PM)

12:45 p.m.

Workshop:

1st Workshop on Compositional 3D Vision & 3DCoMPaT Challenge

(ends 5:45 PM)

Workshop:

6th International Workshop on Visual Odometry and Computer Vision Applications Based on Location Clues

(ends 6:30 PM)

1 p.m.

Workshop:

High-fidelity Neural Actors

(ends 6:00 PM)

Workshop:

AVA: Accessibility, Vision, and Autonomy Meet

(ends 5:30 PM)

Workshop:

4D Hand Object Interaction: Geometric Understanding and Applications in Dexterous Manipulation

(ends 6:00 PM)

Workshop:

QCVML: Quantum Computer Vision and Machine Learning Workshop

(ends 6:00 PM)

Workshop:

Computer Vision for Fashion, Art, and Design

(ends 5:30 PM)

Workshop:

1st workshop on Capturing, Interpreting & Visualizing Indoor Living Spaces

(ends 6:00 PM)

Workshop:

The Fifth Workshop on Precognition: Seeing through the Future

(ends 5:00 PM)

1:30 p.m.

Workshop:

2nd Workshop and Challenge on Vision Datasets Understanding

(ends 5:30 PM)

Workshop:

The Fourth Workshop on Face and Gesture Analysis for Health Informatics (FGAHI)

(ends 6:00 PM)

Workshop:

The 3rd Workshop on Light Fields for Computer Vision LFNAT: New Applications and Trends in Light Fields

(ends 6:15 PM)

Workshop:

Pixel-level Video Understanding in the Wild Challenge

(ends 5:30 PM)

Tutorial:

Contactless Healthcare using Cameras and Wireless Sensors

(ends 5:00 PM)

Tutorial:

Large-scale Deep Learning Optimization Techniques

(ends 5:00 PM)

3 p.m.

Break:

Break

(ends 3:45 PM)

MON 19 JUN

7:30 a.m.

Breakfast:

Breakfast

(ends 9:00 AM)

8 a.m.

Workshop:

Vision-Centric Autonomous Driving (VCAD)

(ends 5:00 PM)

Workshop:

4th International Workshop on Event-based Vision

(ends 6:00 PM)

Workshop:

5th Workshop and Competition on Affective Behavior Analysis in-the-wild

(ends 12:30 PM)

Workshop:

3DMV: Learning 3D with Multi-View Supervision

(ends 12:15 PM)

Workshop:

The Sixth International Workshop on Computer Vision for Physiological Measurement (CVPM)

(ends 12:00 PM)

Workshop:

8th Workshop on Computer Vision for Microscopy Image Analysis

(ends 6:00 PM)

Workshop:

Multi-Agent Behavior: Properties, Computation and Emergence

(ends 12:30 PM)

Workshop:

Image Matching: Local Features and Beyond

(ends 12:30 PM)

Workshop:

4th Agriculture-Vision Workshop: Challenges & Opportunities for Computer Vision in Agriculture

(ends 12:00 PM)

Workshop:

3rd Mobile AI Workshop and Challenges

(ends 6:00 PM)

Workshop:

7th AI City Challenge Workshop

(ends 5:30 PM)

8:15 a.m.

Workshop:

VizWiz Grand Challenge: Describing Images and Videos Taken by Blind People

(ends 12:00 PM)

8:20 a.m.

Workshop:

First Rhobin Challenge - Reconstruction of human-object interaction

(ends 12:30 PM)

8:30 a.m.

Workshop:

Women in Computer Vision Workshop

(ends 1:00 PM)

Workshop:

The 6th Workshop and Prize Challenge Bridging the Gap between Computational Photography and Visual Recognition (UG2+) in conjunction with IEEE CVPR 2023

(ends 5:00 PM)

Workshop:

Workshop on Vision-based InduStrial InspectiON (VISION)

(ends 6:00 PM)

Workshop:

EMBEDDED VISION WORKSHOP 2023

(ends 5:00 PM)

Workshop:

2nd Workshop on Federated Learning for Computer Vision

(ends 5:30 PM)

Workshop:

Joint 3rd Ego4D and 11th EPIC Workshop on Egocentric Vision

(ends 6:45 PM)

Workshop:

O-DRUM: Workshop on Open-Domain Reasoning Under Multi-Modal Settings

(ends 5:00 PM)

Tutorial:

Large-Scale Visual Localization

(ends 12:15 PM)

Tutorial:

Object localization for free: Going beyond self-supervised learning

(ends 12:00 PM)

Tutorial:

Recent Advances in Vision Foundation Models

(ends 12:30 PM)

8:45 a.m.

Workshop:

Secure and Safe Autonomous Driving Workshop and Challenge (SSAD)

(ends 5:00 PM)

8:50 a.m.

Workshop:

The 6th Efficient Deep Learning for Computer Vision

(ends 6:35 PM)

9 a.m.

Workshop:

The 2nd Explainable AI for Computer Vision (XAI4CV) Workshop

(ends 5:30 PM)

Workshop:

Safe Artificial Intelligence for All Domains

(ends 5:00 PM)

Workshop:

The Fifth Workshop on Deep Learning for Geometric Computing

(ends 5:00 PM)

Workshop:

AI for Content Creation

(ends 6:15 PM)

Workshop:

Visual Copy Detection Workshop

(ends 12:00 PM)

Workshop:

Computer Vision in the Wild

(ends 5:30 PM)

Workshop:

Sight and Sound

(ends 6:00 PM)

Workshop:

L3D-IVU: 2nd Workshop on Learning with Limited Labelled Data for Image and Video Understanding

(ends 5:10 PM)

Workshop:

9th IEEE International Workshop on Computer Vision in Sports (CVsports)

(ends 5:30 PM)

Workshop:

Workshop on Foundation Models: 1st Foundation Model Challenge

(ends 12:30 PM)

Workshop:

Visual Pre-training for Robotics

(ends 5:30 PM)

Workshop:

4th Embodied AI Workshop

(ends 5:30 PM)

Workshop:

Vision for All Seasons: Adverse Weather and Lighting Conditions

(ends 5:30 PM)

Tutorial:

Polarization-based Computer Vision

(ends 12:00 PM)

Tutorial:

Multi-Objective Optimization for Deep Learning

(ends 12:00 PM)

Tutorial:

All you need to know about self-driving

(ends 5:00 PM)

Tutorial:

Few-shot Learning from Meta-Learning, Statistical Understanding to Applications

(ends 12:30 PM)

Tutorial:

Prompting in Vision

(ends 12:00 PM)

Tutorial:

Reverse Engineering of Deception (RED): Foundations and Applications

(ends 12:00 PM)

Tutorial:

Rolling Shutter Camera: Modeling, Optimization, Learning, and Hardware

(ends 12:00 PM)

Tutorial:

Hyperbolic Deep Learning in Computer Vision

(ends 12:00 PM)

Tutorial:

Deep Learning Theory for Computer Vision

(ends 12:00 PM)

Tutorial:

Automatic 3D modeling of indoor structures from panoramic imagery

(ends 12:30 PM)

Tutorial:

Optics for Better AI: Capturing and Synthesizing Realistic Data for Low-light Enhancement

(ends 12:00 PM)

Tutorial:

Knowledge-Driven Vision-Language Encoding

(ends 12:30 PM)

10 a.m.

Break:

Break

(ends 10:45 AM)

11:45 a.m.

Break:

Lunch

(ends 1:30 PM)

12:45 p.m.

Workshop:

Scholars and Big Models — How Can Academics Adapt?

(ends 6:05 PM)

1 p.m.

Workshop:

The 4th Workshop on Omnidirectional Computer Vision

(ends 6:00 PM)

Workshop:

Photogrammetric Computer Vision

(ends 6:00 PM)

Workshop:

2nd Challenge on Machine Visual Common Sense: Perception, Prediction, Planning

(ends 6:00 PM)

Workshop:

RetailVision - Revolutionizing the World of Retail

(ends 6:00 PM)

Workshop:

2nd Workshop on Multimodal Learning for Earth and Environment (MultiEarth)

(ends 5:00 PM)

1:30 p.m.

Workshop:

5th ScanNet Indoor Scene Understanding Challenge

(ends 5:30 PM)

Workshop:

The 4th Face Anti-spoofing Workshop and Challenge

(ends 5:30 PM)

Workshop:

DynaVis: The 4th International Workshop on Dynamic Scene Reconstruction

(ends 5:20 PM)

Tutorial:

Neural Search in Action

(ends 4:30 PM)

Tutorial:

Physics-based rendering and its applications in computational photography and imaging

(ends 5:00 PM)

Tutorial:

Exploring Synthetic data as an Enterprise Capability for Training and Validating CV Systems

(ends 4:30 PM)

Tutorial:

Full-Stack, GPU-based Acceleration of Deep Learning

(ends 5:00 PM)

Tutorial:

Hands-on Egocentric Research with Project Aria from Meta

(ends 5:00 PM)

3 p.m.

Break:

Break

(ends 3:45 PM)

TUE 20 JUN

7:30 a.m.

Breakfast:

Breakfast

(ends 9:00 AM)

8:30 a.m.

Opening Ceremony:

Opening Ceremony

(ends 9:00 AM)

9 a.m.

Keynote:

Revisiting Old Ideas With Modern Hardware

Rodney Brooks

(ends 10:00 AM)

10 a.m.

Break:

Break

(ends 10:30 AM)

10:30 a.m.

Poster Session TUE-AM [10:30-12:00]

Posters 10:30-12:00

Megahertz Light Steering Without Moving Parts

Robust Dynamic Radiance Fields

DBARF: Deep Bundle-Adjusting Generalizable Neural Radiance Fields

VDN-NeRF: Resolving Shape-Radiance Ambiguity via View-Dependence Normalization

AligNeRF: High-Fidelity Neural Radiance Fields via Alignment-Aware Training

SeaThru-NeRF: Neural Radiance Fields in Scattering Media

Exact-NeRF: An Exploration of a Precise Volumetric Parameterization for Neural Radiance Fields

Neural Residual Radiance Fields for Streamably Free-Viewpoint Videos

PlenVDB: Memory Efficient VDB-Based Radiance Fields for Fast Training and Rendering

Local Implicit Ray Function for Generalizable Radiance Field Representation

SurfelNeRF: Neural Surfel Radiance Fields for Online Photorealistic Reconstruction of Indoor Scenes

Frequency-Modulated Point Cloud Rendering With Easy Editing

HexPlane: A Fast Representation for Dynamic Scenes

Differentiable Shadow Mapping for Efficient Inverse Graphics

Hybrid Neural Rendering for Large-Scale Scenes With Motion Blur

TensoIR: Tensorial Inverse Rendering

ShadowNeuS: Neural SDF Reconstruction by Shadow Ray Supervision

Realistic Saliency Guided Image Enhancement

LightPainter: Interactive Portrait Relighting With Freehand Scribble

A Unified Spatial-Angular Structured Light for Single-View Acquisition of Shape and Reflectance

Learning Visibility Field for Detailed 3D Human Reconstruction and Relighting

Unsupervised Contour Tracking of Live Cells by Mechanical and Cycle Consistency Losses

NeUDF: Leaning Neural Unsigned Distance Fields With Volume Rendering

NeAT: Learning Neural Implicit Surfaces With Arbitrary Topologies From Multi-View Images

ALTO: Alternating Latent Topologies for Implicit 3D Reconstruction

Controllable Mesh Generation Through Sparse Latent Point Diffusion Models

Power Bundle Adjustment for Large-Scale 3D Reconstruction

Neural Pixel Composition for 3D-4D View Synthesis From Multi-Views

Magic3D: High-Resolution Text-to-3D Content Creation

3D Video Loops From Asynchronous Input

High-Fidelity 3D GAN Inversion by Pseudo-Multi-View Optimization

Lift3D: Synthesize 3D Training Data by Lifting 2D GAN to 3D Generative Radiance Field

3D GAN Inversion With Facial Symmetry Prior

StyleIPSB: Identity-Preserving Semantic Basis of StyleGAN for High Fidelity Face Swapping

FFHQ-UV: Normalized Facial UV-Texture Dataset for 3D Face Reconstruction

Robust Model-Based Face Reconstruction Through Weakly-Supervised Outlier Segmentation

Learning Neural Proto-Face Field for Disentangled 3D Face Modeling in the Wild

A Hierarchical Representation Network for Accurate and Detailed Face Reconstruction From In-the-Wild Images

BlendFields: Few-Shot Example-Driven Facial Modeling

Implicit Neural Head Synthesis via Controllable Local Deformation Fields

DPE: Disentanglement of Pose and Expression for General Video Portrait Editing

GANHead: Towards Generative Animatable Neural Head Avatars

EDGE: Editable Dance Generation From Music

Blowing in the Wind: CycleNet for Human Cinemagraphs From Still Images

Generating Holistic 3D Human Motion From Speech

Avatars Grow Legs: Generating Smooth Human Motion From Sparse Tracking Inputs With Diffusion Model

Learning Anchor Transformations for 3D Garment Animation

CloSET: Modeling Clothed Humans on Continuous Surface With Explicit Template Decomposition

ECON: Explicit Clothed Humans Optimized via Normal Integration

PersonNeRF: Personalized Reconstruction From Photo Collections

3D Human Mesh Estimation From Virtual Markers

Overcoming the Trade-Off Between Accuracy and Plausibility in 3D Hand Shape Reconstruction

Recovering 3D Hand Mesh Sequence From a Single Blurry Image: A New Dataset and Temporal Unfolding

MeMaHand: Exploiting Mesh-Mano Interaction for Single Image Two-Hand Reconstruction

PLIKS: A Pseudo-Linear Inverse Kinematic Solver for 3D Human Body Estimation

CAMS: CAnonicalized Manipulation Spaces for Category-Level Functional Hand-Object Manipulation Synthesis

Instant-NVR: Instant Neural Volumetric Rendering for Human-Object Interactions From Monocular RGBD Stream

BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects

Human-Art: A Versatile Human-Centric Dataset Bridging Natural and Artificial Scenes

Omnimatte3D: Associating Objects and Their Effects in Unconstrained Monocular Video

On the Benefits of 3D Pose and Tracking for Human Action Recognition

Towards Stable Human Pose Estimation via Cross-View Fusion and Foot Stabilization

Human Pose As Compositional Tokens

PoseExaminer: Automated Testing of Out-of-Distribution Robustness in Human Pose and Shape Estimation

SLOPER4D: A Scene-Aware Dataset for Global 4D Human Pose Estimation in Urban Environments

Semi-Supervised 2D Human Pose Estimation Driven by Position Inconsistency Pseudo Label Correction Module

Human Pose Estimation in Extremely Low-Light Conditions

Flexible-Cm GAN: Towards Precise 3D Dose Prediction in Radiotherapy

DualRefine: Self-Supervised Depth and Pose Estimation Through Iterative Epipolar Sampling and Refinement Toward Equilibrium

A Rotation-Translation-Decoupled Solution for Robust and Efficient Visual-Inertial Initialization

Semidefinite Relaxations for Robust Multiview Triangulation

A Probabilistic Attention Model With Occlusion-Aware Texture Regression for 3D Hand Reconstruction From a Single RGB Image

Instant Multi-View Head Capture Through Learnable Registration

On the Importance of Accurate Geometry Data for Dense 3D Vision Tasks

Learning 3D Scene Priors With 2D Supervision

OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation

OpenScene: 3D Scene Understanding With Open Vocabularies

Multi-View Azimuth Stereo via Tangent Space Consistency

Progressive Transformation Learning for Leveraging Virtual Images in Training

Connecting the Dots: Floorplan Reconstruction Using Two-Level Queries

NeRF-Supervised Deep Stereo

Semantic Scene Completion With Cleaner Self

PanelNet: Understanding 360 Indoor Environment via Panel Representation

Implicit View-Time Interpolation of Stereo Videos Using Multi-Plane Disparities and Non-Uniform Coordinates

Depth Estimation From Indoor Panoramas With Neural Scene Representation

NeuralPCI: Spatio-Temporal Neural Field for 3D Point Cloud Multi-Frame Non-Linear Interpolation

RIAV-MVS: Recurrent-Indexing an Asymmetric Volume for Multi-View Stereo

NeuMap: Neural Coordinate Mapping by Auto-Transdecoder for Camera Localization

MACARONS: Mapping and Coverage Anticipation With RGB Online Self-Supervision

vMAP: Vectorised Object Mapping for Neural Field SLAM

Seeing a Rose in Five Thousand Ways

Propagate and Calibrate: Real-Time Passive Non-Line-of-Sight Tracking

Seeing With Sound: Long-range Acoustic Beamforming for Multimodal Scene Understanding

Distilling Focal Knowledge From Imperfect Expert for 3D Object Detection

BEV-LaneDet: An Efficient 3D Lane Detection Based on Virtual Camera via Key-Points

AShapeFormer: Semantics-Guided Object-Level Active Shape Encoding for 3D Object Detection via Transformers

Benchmarking Robustness of 3D Object Detection to Common Corruptions

Gaussian Label Distribution Learning for Spherical Image Object Detection

Deep Depth Estimation From Thermal Image

LidarGait: Benchmarking 3D Gait Recognition With Point Clouds

Generalized UAV Object Detection via Frequency Domain Disentanglement

Learning Compact Representations for LiDAR Completion and Generation

CXTrack: Improving 3D Point Cloud Tracking With Contextual Information

Multispectral Video Semantic Segmentation: A Benchmark Dataset and Baseline

LinK: Linear Kernel for LiDAR-Based 3D Perception

Point Cloud Forecasting as a Proxy for 4D Occupancy Forecasting

Curricular Object Manipulation in LiDAR-Based Object Detection

Delivering Arbitrary-Modal Semantic Segmentation

Robust Outlier Rejection for 3D Registration With Variational Bayes

3D Human Keypoints Estimation From Point Clouds in the Wild Without Human Labels

Self-Supervised Pre-Training With Masked Shape Prediction for 3D Scene Understanding

ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding

Open-Vocabulary Point-Cloud Object Detection Without 3D Annotation

FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer

PointCMP: Contrastive Mask Prediction for Self-Supervised Learning on Point Cloud Videos

E2PN: Efficient SE(3)-Equivariant Point Network

Poly-PC: A Polyhedral Network for Multiple Point Cloud Tasks at Once

Improving Graph Representation for Point Cloud Segmentation via Attentive Filtering

BUFFER: Balancing Accuracy, Efficiency, and Generalizability in Point Cloud Registration

TopDiG: Class-Agnostic Topological Directional Graph Extraction From Remote Sensing Images

Recognizing Rigid Patterns of Unlabeled Point Clouds by Complete and Continuous Isometry Invariants With No False Negatives and No False Positives

Both Style and Distortion Matter: Dual-Path Unsupervised Domain Adaptation for Panoramic Semantic Segmentation

CCuantuMM: Cycle-Consistent Quantum-Hybrid Matching of Multiple Shapes

Enhancing Deformable Local Features by Jointly Learning To Detect and Describe Keypoints

Understanding and Improving Features Learned in Deep Functional Maps

High-Frequency Stereo Matching Network

Rethinking Optical Flow From Geometric Matching Consistent Perspective

Efficient Robust Principal Component Analysis via Block Krylov Iteration and CUR Decomposition

VectorFloorSeg: Two-Stream Graph Attention Network for Vectorized Roughcast Floorplan Segmentation

TBP-Former: Learning Temporal Bird’s-Eye-View Pyramid for Joint Perception and Prediction in Vision-Centric Autonomous Driving

Implicit Occupancy Flow Fields for Perception and Prediction in Self-Driving

UniSim: A Neural Closed-Loop Sensor Simulator

FEND: A Future Enhanced Distribution-Aware Contrastive Learning Framework for Long-Tail Trajectory Prediction

EqMotion: Equivariant Multi-Agent Motion Prediction With Invariant Interaction Reasoning

Lookahead Diffusion Probabilistic Models for Refining Mean Estimation

Neural Volumetric Memory for Visual Locomotion Control

Gazeformer: Scalable, Effective and Fast Prediction of Goal-Directed Human Attention

DrapeNet: Garment Generation and Self-Supervised Draping

Tracking Multiple Deformable Objects in Egocentric Videos

Good Is Bad: Causality Inspired Cloth-Debiasing for Cloth-Changing Person Re-Identification

Micron-BERT: BERT-Based Facial Micro-Expression Recognition

MARLIN: Masked Autoencoder for Facial Video Representation LearnINg

StyleSync: High-Fidelity Generalized and Personalized Lip Sync in Style-Based Generator

RealImpact: A Dataset of Impact Sound Fields for Real Objects

STMT: A Spatial-Temporal Mesh Transformer for MoCap-Based Action Recognition

Progressive Spatio-Temporal Alignment for Efficient Event-Based Motion Estimation

Event-Based Shape From Polarization

Learning Spatial-Temporal Implicit Neural Representations for Event-Guided Video Super-Resolution

BiFormer: Learning Bilateral Motion Estimation via Bilateral Transformer for 4K Video Frame Interpolation

A Unified Pyramid Recurrent Network for Video Frame Interpolation

Event-Based Blurry Frame Interpolation Under Blind Exposure

FlowFormer++: Masked Cost Volume Autoencoding for Pretraining Optical Flow Estimation

POTTER: Pooling Attention Transformer for Efficient Human Mesh Recovery

Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo

On the Difficulty of Unpaired Infrared-to-Visible Video Translation: Fine-Grained Content-Rich Patches Transfer

Thermal Spread Functions (TSF): Physics-Guided Material Classification

Better “CMOS” Produces Clearer Images: Learning Space-Variant Blur Estimation for Blind Image Super-Resolution

Learning Semantic-Aware Knowledge Guidance for Low-Light Image Enhancement

CutMIB: Boosting Light Field Super-Resolution via Multi-View Image Blending

sRGB Real Noise Synthesizing With Neighboring Correlation-Aware Noise Model

Masked Image Training for Generalizable Deep Image Denoising

DR2: Diffusion-Based Robust Degradation Remover for Blind Face Restoration

Learning Distortion Invariant Representation for Image Restoration From a Causality Perspective

Perception-Oriented Single Image Super-Resolution Using Optimal Objective Estimation

Catch Missing Details: Image Reconstruction With Frequency Augmented Variational Autoencoder

MD-VQA: Multi-Dimensional Quality Assessment for UGC Live Videos

CABM: Content-Aware Bit Mapping for Single Image Super-Resolution Network With Large Input

Initialization Noise in Image Gradients and Saliency Maps

Local Implicit Normalizing Flow for Arbitrary-Scale Image Super-Resolution

Deep Arbitrary-Scale Image Super-Resolution via Scale-Equivariance Pursuit

CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution

Multiplicative Fourier Level of Detail

Document Image Shadow Removal Guided by Color-Aware Background

StyleRes: Transforming the Residuals for Real Image Editing With StyleGAN

TopNet: Transformer-Based Object Placement Network for Image Compositing

VecFontSDF: Learning To Reconstruct and Synthesize High-Quality Vector Fonts via Signed Distance Functions

CF-Font: Content Fusion for Few-Shot Font Generation

SIEDOB: Semantic Image Editing by Disentangling Object and Background

MaskSketch: Unpaired Structure-Guided Masked Image Generation

Text2Scene: Text-Driven Indoor Scene Stylization With Part-Aware Details

Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models

VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Models

Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation

Multi-Concept Customization of Text-to-Image Diffusion

Unifying Layout Generation With a Decoupled Diffusion Model

BBDM: Image-to-Image Translation With Brownian Bridge Diffusion Models

Towards Practical Plug-and-Play Diffusion Models

Post-Training Quantization on Diffusion Models

DiffTalk: Crafting Diffusion Models for Generalized Audio-Driven Portraits Animation

Mask-Guided Matting in the Wild

Not All Image Regions Matter: Masked Vector Quantization for Autoregressive Image Generation

Compression-Aware Video Super-Resolution

Neural Rate Estimator and Unsupervised Learning for Efficient Distributed Image Analytics in Split-DNN Models

DNeRV: Modeling Inherent Dynamics via Difference Neural Representation for Videos

Polynomial Implicit Neural Representations for Large Diverse Datasets

Learning Decorrelated Representations Efficiently Using Fast Fourier Transform

SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer

N-Gram in Swin Transformers for Efficient Lightweight Image Super-Resolution

Slide-Transformer: Hierarchical Vision Transformer With Local Self-Attention

Joint Token Pruning and Squeezing Towards More Aggressive Compression of Vision Transformers

Top-Down Visual Attention From Analysis by Synthesis

Probing Neural Representations of Scene Perception in a Hippocampally Dependent Task Using Artificial Neural Networks

Masked Image Modeling With Local Multi-Scale Reconstruction

Siamese Image Modeling for Self-Supervised Vision Representation Learning

MAGE: MAsked Generative Encoder To Unify Representation Learning and Image Synthesis

Diverse Embedding Expansion Network and Low-Light Cross-Modality Benchmark for Visible-Infrared Person Re-Identification

DistilPose: Tokenized Pose Regression With Heatmap Distillation

Graph Transformer GANs for Graph-Constrained House Generation

Automatic High Resolution Wire Segmentation and Removal

Tree Instance Segmentation With Temporal Contour Graph

Dual-Path Adaptation From Image to Video Transformers

Rethinking Video ViTs: Sparse Video Tubes for Joint Image and Video Learning

Modeling Video As Stochastic Processes for Fine-Grained Video Representation Learning

Masked Motion Encoding for Self-Supervised Video Representation Learning

Boosting Video Object Segmentation via Space-Time Correspondence Learning

Two-Shot Video Object Segmentation

Look Before You Match: Instance Understanding Matters in Video Object Segmentation

Spatial-Then-Temporal Self-Supervised Learning for Video Correspondence

Few-Shot Referring Relationships in Videos

Vision Transformers Are Parameter-Efficient Audio-Visual Learners

Egocentric Video Task Translation

QPGesture: Quantization-Based and Phase-Guided Motion Matching for Natural Speech-Driven Gesture Generation

Co-Speech Gesture Synthesis by Reinforcement Learning With Contrastive Pre-Trained Rewards

TimeBalance: Temporally-Invariant and Temporally-Distinctive Video Representations for Semi-Supervised Action Recognition

How Can Objects Help Action Recognition?

Actionlet-Dependent Contrastive Learning for Unsupervised Skeleton-Based Action Recognition

Decomposed Cross-Modal Distillation for RGB-Based Temporal Action Detection

ASPnet: Action Segmentation With Shared-Private Representation of Multiple Data Sources

Proposal-Based Multiple Instance Learning for Weakly-Supervised Temporal Action Localization

LOGO: A Long-Form Video Dataset for Group Action Quality Assessment

Use Your Head: Improving Long-Tail Video Recognition

Conditional Generation of Audio From Video via Foley Analogies

Weakly Supervised Video Representation Learning With Unaligned Text for Sequential Videos

You Can Ground Earlier Than See: An Effective and Efficient Pipeline for Temporal Sentence Grounding in Compressed Videos

Connecting Vision and Language With Video Localized Narratives

Video-Text As Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning

Aligning Step-by-Step Instructional Diagrams to Video Demonstrations

Make-a-Story: Visual Memory Conditioned Consistent Story Generation

Test of Time: Instilling Video-Language Models With a Sense of Time

How You Feelin’? Learning Emotions and Mental States in Movie Scenes

Continuous Sign Language Recognition With Correlation Network

DIP: Dual Incongruity Perceiving Network for Sarcasm Detection

Gloss Attention for Gloss-Free Sign Language Translation

Object-Goal Visual Navigation via Effective Exploration of Relations Among Historical Navigation States

Behavioral Analysis of Vision-and-Language Navigation Agents

KERM: Knowledge Enhanced Reasoning for Vision-and-Language Navigation

Where Is My Wallet? Modeling Object Proposal Sets for Egocentric Visual Query Localization

Efficient Multimodal Fusion via Interactive Prompting

NS3D: Neuro-Symbolic Grounding of 3D Objects and Relations

Dynamic Inference With Grounding Based Vision and Language Models

Improving Commonsense in Vision-Language Models via Knowledge Graph Riddles

S3C: Semi-Supervised VQA Natural Language Explanation via Self-Critical Learning

Teaching Structured Vision & Language Concepts to Vision & Language Models

FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks

RefCLIP: A Universal Teacher for Weakly Supervised Referring Expression Comprehension

Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language Tasks

Learning From Unique Perspectives: User-Aware Saliency Modeling

CRAFT: Concept Recursive Activation FacTorization for Explainability

Doubly Right Object Recognition: A Why Prompt for Visual Rationales

Sketch2Saliency: Learning To Detect Salient Objects From Human Drawings

PIP-Net: Patch-Based Intuitive Prototypes for Interpretable Image Classification

Photo Pre-Training, but for Sketch

CLIP for All Things Zero-Shot Sketch-Based Image Retrieval, Fine-Grained or Not

iCLIP: Bridging Image Classification and Contrastive Language-Image Pre-Training for Visual Recognition

Cross-Modal Implicit Relation Reasoning and Aligning for Text-to-Image Person Retrieval

Multi-Modal Representation Learning With Text-Driven Soft Masks

Texts as Images in Prompt Tuning for Multi-Label Image Recognition

Reproducible Scaling Laws for Contrastive Language-Image Learning

Multilateral Semantic Relations Modeling for Image Text Retrieval

SmallCap: Lightweight Image Captioning Prompted With Retrieval Augmentation

Probing Sentiment-Oriented Pre-Training Inspired by Human Sentiment Perception Mechanism

Prefix Conditioning Unifies Language and Label Supervision

Crossing the Gap: Domain Generalization for Image Captioning

A Bag-of-Prototypes Representation for Dataset-Level Applications

CrowdCLIP: Unsupervised Crowd Counting via Vision-Language Model

D2Former: Jointly Learning Hierarchical Detectors and Contextual Descriptors via Agent-Based Transformers

Learning To Generate Language-Supervised and Open-Vocabulary Scene Graph Using Pre-Trained Visual-Semantic Space

Relational Context Learning for Human-Object Interaction Detection

Learning Open-Vocabulary Semantic Segmentation Models From Natural Language Supervision

Side Adapter Network for Open-Vocabulary Semantic Segmentation

Open-Vocabulary Panoptic Segmentation With Text-to-Image Diffusion Models

IFSeg: Image-Free Semantic Segmentation via Vision-Language Model

PartManip: Learning Cross-Category Generalizable Part Manipulation Policy From Point Cloud Observations

OneFormer: One Transformer To Rule Universal Image Segmentation

Delving Into Shape-Aware Zero-Shot Semantic Segmentation

CoMFormer: Continual Learning in Semantic and Panoptic Segmentation

Learning To Segment Every Referring Object Point by Point

Unsupervised Continual Semantic Adaptation Through Neural Rendering

Mask DINO: Towards a Unified Transformer-Based Framework for Object Detection and Segmentation

Transformer Scale Gate for Semantic Segmentation

Style Projected Clustering for Domain Generalized Semantic Segmentation

Rethinking Few-Shot Medical Segmentation: A Vector Quantization View

Continual Semantic Segmentation With Automatic Memory Sample Selection

Token Contrast for Weakly-Supervised Semantic Segmentation

Multi-Granularity Archaeological Dating of Chinese Bronze Dings Based on a Knowledge-Guided Relation Graph

Hunting Sparsity: Density-Guided Contrastive Learning for Semi-Supervised Semantic Segmentation

Cut and Learn for Unsupervised Object Detection and Instance Segmentation

Extracting Class Activation Maps From Non-Discriminative Features As Well

BoxTeacher: Exploring High-Quality Pseudo Labels for Weakly Supervised Instance Segmentation

Hierarchical Fine-Grained Image Forgery Detection and Localization

Towards Professional Level Crowd Annotation of Expert Domain Data

Unsupervised Object Localization: Observing the Background To Discover Objects

Semi-Supervised Learning Made Simple With Self-Supervised Clustering

Unbalanced Optimal Transport: A Unified Framework for Object Detection

DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object Detection

CLIP the Gap: A Single Domain Generalization Approach for Object Detection

Unknown Sniffer for Object Detection: Don’t Turn a Blind Eye to Unknown Objects

Consistent-Teacher: Towards Reducing Inconsistent Pseudo-Targets in Semi-Supervised Object Detection

Optimal Proposal Learning for Deployable End-to-End Pedestrian Detection

AsyFOD: An Asymmetric Adaptation Paradigm for Few-Shot Domain Adaptive Object Detection

Where Is My Spot? Few-Shot Image Generation via Latent Subspace Optimization

Uncertainty-Aware Optimal Transport for Semantically Coherent Out-of-Distribution Detection

MAESTER: Masked Autoencoder Guided Segmentation at Pixel Resolution for Accurate, Self-Supervised Subcellular Structure Recognition

Orthogonal Annotation Benefits Barely-Supervised Medical Image Segmentation

RepMode: Learning to Re-Parameterize Diverse Experts for Subcellular Structure Prediction

Topology-Guided Multi-Class Cell Context Generation for Digital Pathology

Dynamic Graph Enhanced Contrastive Learning for Chest X-Ray Report Generation

Benchmarking Self-Supervised Learning on Diverse Pathology Datasets

Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning

Learning Expressive Prompting With Residuals for Vision Transformers

Decoupling MaxLogit for Out-of-Distribution Detection

Exploring Structured Semantic Prior for Multi Label Recognition With Incomplete Labels

Bridging the Gap Between Model Explanations in Partially Annotated Multi-Label Classification

DivClust: Controlling Diversity in Deep Clustering

Deep Semi-Supervised Metric Learning With Mixed Label Propagation

Leveraging Inter-Rater Agreement for Classification in the Presence of Noisy Labels

Modeling Inter-Class and Intra-Class Constraints in Novel Class Discovery

Bootstrap Your Own Prior: Towards Distribution-Agnostic Novel Class Discovery

Towards Realistic Long-Tailed Semi-Supervised Learning: Consistency Is All You Need

PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery

Probabilistic Knowledge Distillation of Face Ensembles

Class-Conditional Sharpness-Aware Minimization for Deep Long-Tailed Recognition

Promoting Semantic Connectivity: Dual Nearest Neighbors Contrastive Learning for Unsupervised Domain Generalization

Instance Relation Graph Guided Source-Free Domain Adaptive Object Detection

MOT: Masked Optimal Transport for Partial Domain Adaptation

TOPLight: Lightweight Neural Networks With Task-Oriented Pretraining for Visible-Infrared Recognition

OSAN: A One-Stage Alignment Network To Unify Multimodal Alignment and Unsupervised Domain Adaptation

Patch-Mix Transformer for Unsupervised Domain Adaptation: A Game Perspective

ARO-Net: Learning Implicit Fields From Anchored Radial Observations

A Probabilistic Framework for Lifelong Test-Time Adaptation

Distribution Shift Inversion for Out-of-Distribution Prediction

Learning Joint Latent Space EBM Prior Model for Multi-Layer Generator

A Data-Based Perspective on Transfer Learning

A Meta-Learning Approach to Predicting Performance and Data Requirements

Guided Recommendation for Model Fine-Tuning

EMT-NAS:Transferring Architectural Knowledge Between Tasks From Different Datasets

AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning

Batch Model Consolidation: A Multi-Task Model Consolidation Framework

SmartAssign: Learning a Smart Knowledge Assignment Strategy for Deraining and Desnowing

TinyMIM: An Empirical Study of Distilling MIM Pre-Trained Models

Computationally Budgeted Continual Learning: What Does Matter?

GradMA: A Gradient-Memory-Based Accelerated Federated Learning With Alleviated Catastrophic Forgetting

Rethinking Gradient Projection Continual Learning: Stability / Plasticity Feature Space Decoupling

Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation

Generalizing Dataset Distillation via Deep Generative Prior

Minimizing the Accumulated Trajectory Error To Improve Dataset Distillation

Slimmable Dataset Condensation

Sharpness-Aware Gradient Matching for Domain Generalization

Dynamic Neural Network for Multi-Task Learning Searching Across Diverse Network Topologies

SplineCam: Exact Visualization and Characterization of Deep Network Geometry and Decision Boundaries

VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution

Efficient On-Device Training via Gradient Filtering

Are Data-Driven Explanations Robust Against Out-of-Distribution Data?

BiasAdv: Bias-Adversarial Augmentation for Model Debiasing

Q-DETR: An Efficient Low-Bit Quantized Detection Transformer

NIPQ: Noise Proxy-Based Integrated Pseudo-Quantization

CUDA: Convolution-Based Unlearnable Datasets

KD-DLGAN: Data Limited Image Generation via Knowledge Distillation

Spider GAN: Leveraging Friendly Neighbors To Accelerate GAN Training

Efficient Verification of Neural Networks Against LVM-Based Specifications

Bi-Directional Feature Fusion Generative Adversarial Network for Ultra-High Resolution Pathological Image Virtual Re-Staining

DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection

OmniAL: A Unified CNN Framework for Unsupervised Anomaly Localization

Federated Incremental Semantic Segmentation

Re-Thinking Federated Active Learning Based on Inter-Class Diversity

Federated Domain Generalization With Generalization Adjustment

On the Effectiveness of Partial Variance Reduction in Federated Learning With Heterogeneous Data

The Resource Problem of Using Linear Layer Leakage Attack in Federated Learning

Unlearnable Clusters: Towards Label-Agnostic Unlearnable Examples

Implicit Identity Leakage: The Stumbling Block to Improving Deepfake Detection Generalization

Backdoor Defense via Adaptively Splitting Poisoned Dataset

How to Backdoor Diffusion Models?

TrojViT: Trojan Insertion in Vision Transformers

TrojDiff: Trojan Attacks on Diffusion Models With Diverse Targets

Ensemble-Based Blackbox Attacks on Dense Prediction

Efficient Loss Function by Minimizing the Detrimental Effect of Floating-Point Errors on Gradient-Based Attacks

The Best Defense Is a Good Offense: Adversarial Augmentation Against Adversarial Attacks

Adversarial Robustness via Random Projection Filters

Jedi: Entropy-Based Localization and Removal of Adversarial Patches

Exploring the Relationship Between Architectural Design and Adversarially Robust Generalization

Improving Robustness of Vision Transformers by Reducing Sensitivity To Patch Corruptions

Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognition

AltFreezing for More General Video Face Forgery Detection

(ends 12:00 PM)

12:30 p.m.

Break:

Lunch

(ends 2:00 PM)

2 p.m.

Panel:

History and Future of Artificial Intelligence and Computer Vision

(ends 3:00 PM)

3 p.m.

Award:

Award Candidates TUE

(ends 4:00 PM)

4 p.m.

Break:

Break

(ends 4:30 PM)

4:30 p.m.

Poster Session TUE-PM [4:30-6:00]

Posters 4:30-6:00

Passive Micron-Scale Time-of-Flight With Sunlight Interferometry

F2-NeRF: Fast Neural Radiance Field Training With Free Camera Trajectories

NoPe-NeRF: Optimising Neural Radiance Field With No Pose Prior

BAD-NeRF: Bundle Adjusted Deblur Neural Radiance Fields

DiffusioNeRF: Regularizing Neural Radiance Fields With Denoising Diffusion Models

SPARF: Neural Radiance Fields From Sparse and Noisy Poses

Interactive Segmentation of Radiance Fields

Temporal Interpolation Is All You Need for Dynamic Neural Radiance Fields

Compressing Volumetric Radiance Fields to 1 MB

Multiscale Tensor Decomposition and Rendering Equation Encoding for View Synthesis

Ref-NPR: Reference-Based Non-Photorealistic Radiance Fields for Controllable Scene Stylization

Representing Volumetric Videos As Dynamic MLP Maps

Fast Monocular Scene Reconstruction With Global-Sparse Local-Dense Grids

DynIBaR: Neural Dynamic Image-Based Rendering

Plateau-Reduced Differentiable Path Tracing

NeFII: Inverse Rendering for Reflectance Decomposition With Near-Field Indirect Illumination

WildLight: In-the-Wild Inverse Rendering With a Flashlight

Relightable Neural Human Assets From Multi-View Gradient Illuminations

DiffRF: Rendering-Guided 3D Radiance Field Diffusion

Analyzing Physical Impacts Using Transient Surface Wave Imaging

Neural Kaleidoscopic Space Sculpting

Towards Unbiased Volume Rendering of Neural Implicit Surfaces With Geometry Priors

Neural Kernel Surface Reconstruction

MM-3DScene: 3D Scene Understanding by Customizing Masked Modeling With Informative-Preserved Reconstruction and Self-Distilled Consistency

Shape, Pose, and Appearance From a Single Image via Bootstrapped Radiance Field Inversion

DisCoScene: Spatially Disentangled Generative Radiance Fields for Controllable 3D-Aware Scene Synthesis

Heat Diffusion Based Multi-Scale and Geometric Structure-Aware Transformer for Mesh Segmentation

Learning Detailed Radiance Manifolds for High-Fidelity and 3D-Consistent Portrait Synthesis From Monocular Image

3D-Aware Conditional Image Synthesis

VIVE3D: Viewpoint-Independent Video Editing Using 3D-Aware GANs

SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generation

Generating Part-Aware Editable 3D Shapes Without 3D Supervision

NeuralLift-360: Lifting an In-the-Wild 2D Photo to a 3D Object With 360° Views

Implicit Identity Driven Deepfake Face Swapping Detection

Canonical Fields: Self-Supervised Learning of Pose-Canonicalized Neural Fields

Improving Fairness in Facial Albedo Estimation via Visual-Textual Cues

High-Fidelity 3D Face Generation From Natural Language Descriptions

DSFNet: Dual Space Fusion Network for Occlusion-Robust 3D Dense Face Alignment

High-Fidelity Facial Avatar Reconstruction From Monocular Video With Generative Priors

3DAvatarGAN: Bridging Domains for Personalized Editable Avatars

RODIN: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion

Instant Volumetric Head Avatars

Synthesizing Photorealistic Virtual Humans Through Cross-Modal Disentanglement

3D Cinemagraphy From a Single Image

TryOnDiffusion: A Tale of Two UNets

Diverse 3D Hand Gesture Prediction From Body Dynamics by Bilateral Hand Disentanglement

Normal-Guided Garment UV Prediction for Human Re-Texturing

REC-MV: REconstructing 3D Dynamic Cloth From Monocular Videos

SeSDF: Self-Evolved Signed Distance Field for Implicit 3D Clothed Human Reconstruction

Unsupervised Volumetric Animation

Handy: Towards a High Fidelity 3D Hand Shape and Appearance Model

Fantastic Breaks: A Dataset of Paired 3D Scans of Real-World Broken Objects and Their Complete Counterparts

Distilling Neural Fields for Real-Time Articulated Shape Reconstruction

GANmouflage: 3D Object Nondetection With Texture Fields

3D Human Pose Estimation via Intuitive Physics

Object Pop-Up: Can We Infer 3D Objects and Their Poses From Human Interactions Alone?

UniDexGrasp: Universal Robotic Dexterous Grasping via Learning Diverse Proposal Generation and Goal-Conditioned Policy

Constrained Evolutionary Diffusion Filter for Monocular Endoscope Tracking

Visibility Aware Human-Object Interaction Tracking From Single RGB Camera

Transformer-Based Unified Recognition of Two Hands Manipulating Objects

HuManiFlow: Ancestor-Conditioned Normalising Flows on SO(3) Manifolds for Human Pose and Shape Distribution Estimation

3D Human Pose Estimation With Spatio-Temporal Criss-Cross Attention

GFPose: Learning 3D Human Pose Prior With Gradient Fields

JRDB-Pose: A Large-Scale Dataset for Multi-Person Pose Estimation and Tracking

Analyzing and Diagnosing Pose Estimation With Attributions

Shape-Constraint Recurrent Flow for 6D Object Pose Estimation

TexPose: Neural Texture Learning for Self-Supervised 6D Object Pose Estimation

Hi-LASSIE: High-Fidelity Articulated Shape and Skeleton Discovery From Sparse Image Ensemble

Revisiting Rolling Shutter Bundle Adjustment: Toward Accurate and Fast Solution

Revisiting the P3P Problem

Common Pets in 3D: Dynamic New-View Synthesis of Real-Life Deformable Categories

MobileBrick: Building LEGO for 3D Reconstruction on Mobile Devices

EFEM: Equivariant Neural Field Expectation Maximization for 3D Object Segmentation Without Scene Supervision

GINA-3D: Learning To Generate Implicit Neural Assets in the Wild

Habitat-Matterport 3D Semantics Dataset

BUOL: A Bottom-Up Framework With Occupancy-Aware Lifting for Panoptic 3D Scene Reconstruction From a Single Image

Panoptic Compositional Feature Field for Editable Scene Rendering With Network-Inferred Labels via Metric Learning

A Light Touch Approach to Teaching Transformers Multi-View Geometry

Learning To Render Novel Views From Wide-Baseline Stereo Pairs

Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo

EventNeRF: Neural Radiance Fields From a Single Colour Event Camera

LightedDepth: Video Depth Estimation in Light of Limited Inference View Angles

Generating Aligned Pseudo-Supervision From Non-Aligned Data for Image Restoration in Under-Display Camera

Spatio-Focal Bidirectional Disparity Estimation From a Dual-Pixel Image

Trap Attention: Monocular Depth Estimation With Manual Traps

Accelerated Coordinate Encoding: Learning to Relocalize in Minutes Using RGB and Poses

Energy-Efficient Adaptive 3D Sensing

Incremental 3D Semantic Scene Graph Prediction From RGB Sequences

Consistent Direct Time-of-Flight Video Depth Super-Resolution

Learning To Zoom and Unzoom

FrustumFormer: Adaptive Instance-Aware Resampling for Multi-View 3D Detection

3D Video Object Detection With Learnable Object-Centric Global Optimization

UniDistill: A Universal Cross-Modality Knowledge Distillation Framework for 3D Object Detection in Bird’s-Eye View

ARKitTrack: A New Diverse Dataset for Tracking Using Mobile RGB-D Data

Deep Dive Into Gradients: Better Optimization for 3D Object Detection With Gradient-Corrected IoU Supervision

SlowLiDAR: Increasing the Latency of LiDAR-Based Detection Using Adversarial Examples

Normalizing Flow Based Feature Synthesis for Outlier-Aware Object Detection

OcTr: Octree-Based Transformer for 3D Object Detection

HypLiLoc: Towards Effective LiDAR Pose Regression With Hyperbolic Fusion

LiDAR2Map: In Defense of LiDAR-Based Semantic Map Construction Using Online Camera Distillation

MSF: Motion-Guided Sequential Fusion for Efficient 3D Object Detection From Point Cloud Sequences

SFD2: Semantic-Guided Feature Detection and Description

Temporal Consistent 3D LiDAR Representation Learning for Semantic Perception in Autonomous Driving

Unsupervised 3D Point Cloud Representation Learning by Triangle Constrained Contrast for Autonomous Driving

RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving

Spatiotemporal Self-Supervised Learning for Point Clouds in the Wild

Change-Aware Sampling and Contrastive Learning for Satellite Images

Self-Supervised 3D Scene Flow Estimation Guided by Superpoints

SCOOP: Self-Supervised Correspondence and Optimization-Based Scene Flow

PiMAE: Point Cloud and Image Interactive Masked Autoencoders for 3D Object Detection

CP3: Channel Pruning Plug-In for Point-Based Networks

Binarizing Sparse Convolutional Networks for Efficient Point Cloud Analysis

Hyperspherical Embedding for Point Cloud Completion

Attention-Based Point Cloud Edge Sampling

Starting From Non-Parametric Networks for 3D Point Cloud Analysis

Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent With Learned Distance Functions

SE-ORNet: Self-Ensembling Orientation-Aware Network for Unsupervised Point Cloud Shape Correspondence

Robust 3D Shape Classification via Non-Local Graph Attention Network

Rotation-Invariant Transformer for Point Cloud Matching

Deep Graph-Based Spatial Consistency for Robust Non-Rigid Point Cloud Registration

Efficient RGB-T Tracking via Cross-Modality Distillation

Finding Geometric Models by Clustering in the Consensus Space

Adaptive Assignment for Geometry Aware Local Feature Matching

Masked Representation Learning for Domain Generalized Stereo Matching

Learning Optical Expansion From Scale Matching

AnyFlow: Arbitrary Scale Optical Flow With Implicit Neural Representation

HouseDiffusion: Vector Floorplan Generation via a Diffusion Model With Discrete and Continuous Denoising

Localized Semantic Feature Mixers for Efficient Pedestrian Detection in Autonomous Driving

V2X-Seq: A Large-Scale Sequential Dataset for Vehicle-Infrastructure Cooperative Perception and Forecasting

ViP3D: End-to-End Visual Trajectory Prediction via 3D Agent Queries

IPCC-TP: Utilizing Incremental Pearson Correlation Coefficient for Joint Multi-Agent Trajectory Prediction

Leapfrog Diffusion Model for Stochastic Trajectory Prediction

DeFeeNet: Consecutive 3D Human Motion Prediction With Deviation Feedback

Self-Correctable and Adaptable Inference for Generalizable Human Pose Estimation

ReDirTrans: Latent-to-Latent Translation for Gaze and Head Redirection

Feature Shrinkage Pyramid for Camouflaged Object Detection With Transformers

OVTrack: Open-Vocabulary Multiple Object Tracking

GaitGCI: Generative Counterfactual Intervention for Gait Recognition

Multi-Label Compound Expression Recognition: C-EXPR Database & Network

Blemish-Aware and Progressive Face Retouching With Limited Paired Data

High-Fidelity and Freely Controllable Talking Head Video Generation

3Mformer: Multi-Order Multi-Mode Transformer for Skeletal Action Recognition

UDE: A Unified Driving Engine for Human Motion Generation

Data-Driven Feature Tracking for Event Cameras

MoStGAN-V: Video Generation With Temporal Motion Styles

Two-Stage Co-Segmentation Network Based on Discriminative Representation for Recovering Human Mesh From Videos

Joint Appearance and Motion Learning for Efficient Rolling Shutter Correction

Extracting Motion and Appearance via Inter-Frame Attention for Efficient Video Frame Interpolation

Deep Stereo Video Inpainting

Burstormer: Burst Image Restoration and Enhancement Transformer

Blur Interpolation Transformer for Real-World Motion From Blur

HDR Imaging With Spatially Varying Signal-to-Noise Ratios

Light Source Separation and Intrinsic Image Decomposition Under AC Illumination

Physics-Guided ISO-Dependent Sensor Noise Modeling for Extreme Low-Light Photography

Neumann Network With Recursive Kernels for Single Image Defocus Deblurring

UMat: Uncertainty-Aware Single Image High Resolution Material Capture

SMAE: Few-Shot Learning for HDR Deghosting With Saturation-Aware Masked Autoencoders

Curricular Contrastive Regularization for Physics-Aware Single Image Dehazing

Patch-Craft Self-Supervised Training for Correlated Image Denoising

Spectral Enhanced Rectangle Transformer for Hyperspectral Image Denoising

All-in-One Image Restoration for Unknown Degradations Using Adaptive Discriminative Filters for Specific Degradations

Ingredient-Oriented Multi-Degradation Learning for Image Restoration

CR-FIQA: Face Image Quality Assessment by Learning Sample Relative Classifiability

Re-IQA: Unsupervised Learning for Image Quality Assessment in the Wild

Toward Accurate Post-Training Quantization for Image Super Resolution

Learning Steerable Function for Efficient Image Resampling

ABCD: Arbitrary Bitwise Coefficient for De-Quantization

Efficient Frequency Domain-Based Transformers for High-Quality Image Deblurring

Learning a Sparse Transformer Network for Effective Image Deraining

CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion

PCT-Net: Full Resolution Image Harmonization Using Pixel-Wise Color Transformations

Semi-Supervised Parametric Real-World Image Harmonization

Towards Robust Tampered Text Detection in Document Image: New Dataset and New Solution

QuantArt: Quantizing Image Style Transfer Towards High Visual Fidelity

Deep Curvilinear Editing: Commutative and Nonlinear Image Manipulation for Pretrained Deep Generative Model

Person Image Synthesis via Denoising Diffusion Model

Disentangling Writer and Character Styles for Handwriting Generation

NoisyTwins: Class-Consistent and Diverse Image Generation Through StyleGANs

High-Fidelity Guided Image Synthesis With Latent Diffusion Models

Imagic: Text-Based Real Image Editing With Diffusion Models

PosterLayout: A New Benchmark and Approach for Content-Aware Visual-Textual Presentation Layout

SINE: SINgle Image Editing With Text-to-Image Diffusion Models

NULL-Text Inversion for Editing Real Images Using Guided Diffusion Models

Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models

Parallel Diffusion Models of Operator and Image for Blind Inverse Problems

Unite and Conquer: Plug & Play Multi-Modal Synthesis Using Diffusion Models

Collaborative Diffusion for Multi-Modal Face Generation and Editing

Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding

NVTC: Nonlinear Vector Transform Coding

Motion Information Propagation for Neural Video Compression

A Dynamic Multi-Scale Voxel Flow Network for Video Prediction

Towards Scalable Neural Representation for Diverse Videos

DINER: Disorder-Invariant Implicit Neural Representation

SCConv: Spatial and Channel Reconstruction Convolution for Feature Redundancy

DeepMAD: Mathematical Architecture Design for Deep Convolutional Neural Network

Optimization-Inspired Cross-Attention Transformer for Compressive Sensing

Neighborhood Attention Transformer

Making Vision Transformers Efficient From a Token Sparsification View

Towards Efficient Use of Multi-Scale Features in Transformer-Based Object Detectors

Neuralizer: General Neuroimage Analysis Without Re-Training

Learning Partial Correlation Based Deep Visual Representation for Image Classification

Understanding Masked Image Modeling via Learning Occlusion Invariant Feature

MixMAE: Mixed and Masked Autoencoder for Efficient Pretraining of Hierarchical Vision Transformers

Adaptive Graph Convolutional Subspace Clustering

Deep Learning of Partial Graph Matching via Differentiable Top-K

DynamicDet: A Unified Dynamic Architecture for Object Detection

IS-GGT: Iterative Scene Graph Generation With Generative Transformers

Fast Contextual Scene Graph Generation With Unbiased Context Augmentation

Masked Video Distillation: Rethinking Masked Feature Modeling for Self-Supervised Video Representation Learning

MED-VT: Multiscale Encoder-Decoder Video Transformer With Application To Object Segmentation

MOVES: Manipulated Objects in Video Enable Segmentation

InstMove: Instance Motion for Object-Centric Video Segmentation

ZBS: Zero-Shot Background Subtraction via Instance-Level Background Modeling and Foreground Selection

Feature Aggregated Queries for Transformer-Based Video Object Detectors

Context-Aware Relative Object Queries To Unify Video Instance and Panoptic Segmentation

Selective Structured State-Spaces for Long-Form Video Understanding

Relational Space-Time Query in Long-Form Videos

Novel-View Acoustic Synthesis

Learning Audio-Visual Source Localization via False Negative Aware Contrastive Learning

Sound to Visual Scene Generation by Audio-to-Visual Latent Alignment

CASP-Net: Rethinking Video Saliency Prediction From an Audio-Visual Consistency Perceptual Perspective

Decompose More and Aggregate Better: Two Closer Looks at Frequency Representation Learning for Human Motion Prediction

TempSAL – Uncovering Temporal Information for Deep Saliency Prediction

Prompt-Guided Zero-Shot Anomaly Action Recognition Using Pretrained Deep Skeleton Features

MMG-Ego4D: Multimodal Generalization in Egocentric Action Recognition

Active Exploration of Multimodal Complementarity for Few-Shot Action Recognition

Reducing the Label Bias for Timestamp Supervised Temporal Action Segmentation

Soft-Landing Strategy for Alleviating the Task Discrepancy Problem in Temporal Action Localization Tasks

Iterative Proposal Refinement for Weakly-Supervised Video Grounding

Movies2Scenes: Using Movie Metadata To Learn Scene Representation

Fine-Tuned CLIP Models Are Efficient Video Learners

Revisiting Temporal Modeling for CLIP-Based Image-to-Video Knowledge Transferring

VoP: Text-Video Co-Operative Prompt Tuning for Cross-Modal Retrieval

ProTéGé: Untrimmed Pretraining for Video Temporal Grounding by Video Temporal Grounding

Learning Video Representations From Large Language Models

All in One: Exploring Unified Video-Language Pre-Training

High-Fidelity Generalized Emotional Talking Face Generation With Multi-Modal Emotion Space Learning

Bidirectional Cross-Modal Knowledge Exploration for Video Recognition With Pre-Trained Vision-Language Models

Decoupled Multimodal Distilling for Emotion Recognition

Affection: Learning Affective Explanations for Real-World Visual Data

An Actor-Centric Causality Graph for Asynchronous Temporal Inference in Group Activity

VLPD: Context-Aware Pedestrian Detection via Vision-Language Semantic Self-Supervision

3D-Aware Object Goal Navigation via Simultaneous Exploration and Identification

Meta-Explore: Exploratory Hierarchical Vision-and-Language Navigation Using Scene Object Spectrum Grounding

NaQ: Leveraging Narrations As Queries To Supervise Episodic Memory

EC2: Emergent Communication for Embodied Control

Abstract Visual Reasoning: An Algebraic Approach for Solving Raven’s Progressive Matrices

Logical Implications for Visual Question Answering Consistency

Divide and Conquer: Answering Questions With Object Factorization and Compositional Reasoning

The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training

Visual-Language Prompt Tuning With Knowledge-Guided Context Optimization

Probabilistic Prompt Learning for Dense Prediction

Is BERT Blind? Exploring the Effect of Vision-and-Language Pretraining on Visual Language Understanding

Seeing What You Miss: Vision-Language Pre-Training With Semantic Completion Learning

Affordance Grounding From Demonstration Video To Target Image

Leverage Interactive Affinity for Affordance Learning

DeAR: Debiasing Vision-Language Models With Additive Residuals

Images Speak in Images: A Generalist Painter for In-Context Visual Learning

Hyperbolic Contrastive Learning for Visual Representations Beyond Objects

Picture That Sketch: Photorealistic Image Generation From Abstract Sketches

GeneCIS: A Benchmark for General Conditional Image Similarity

Exploiting Unlabelled Photos for Stronger Fine-Grained SBIR

Parts2Words: Learning Joint Embedding of Point Clouds and Texts by Bidirectional Matching Between Parts and Words

DeltaEdit: Exploring Text-Free Training for Text-Driven Image Manipulation

Detecting and Grounding Multi-Modal Media Manipulation

Positive-Augmented Contrastive Learning for Image and Video Captioning Evaluation

Similarity Maps for Self-Training Weakly-Supervised Phrase Grounding

Cross-Domain Image Captioning With Discriminative Finetuning

EXIF As Language: Learning Cross-Modal Associations Between Images and Camera Metadata

Uncurated Image-Text Datasets: Shedding Light on Demographic Bias

Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training

Turning a CLIP Model Into a Scene Text Detector

ScanDMM: A Deep Markov Model of Scanpath Prediction for 360° Images

CrOC: Cross-View Online Clustering for Dense Visual Representation Learning

PLA: Language-Driven Open-Vocabulary 3D Scene Understanding

CLIP2Scene: Towards Label-Efficient 3D Scene Understanding by CLIP

CORA: Adapting CLIP for Open-Vocabulary Detection With Region Prompting and Anchor Pre-Matching

Open-Vocabulary Attribute Detection

Learning To Detect and Segment for Open Vocabulary Object Detection

Open-Vocabulary Semantic Segmentation With Mask-Adapted CLIP

A Simple Framework for Text-Supervised Semantic Segmentation

GAPartNet: Cross-Category Domain-Generalizable Object Perception and Manipulation via Generalizable and Actionable Parts

GeoLayoutLM: Geometric Pre-Training for Visual Information Extraction

Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss

Generative Semantic Segmentation

MISC210K: A Large-Scale Dataset for Multi-Instance Semantic Correspondence

MIANet: Aggregating Unbiased Instance and General Information for Few-Shot Semantic Segmentation

PACO: Parts and Attributes of Common Objects

PartDistillation: Learning Parts From Instance Segmentation

ACSeg: Adaptive Conceptualization for Unsupervised Semantic Segmentation

Reliability in Semantic Segmentation: Are We on the Right Track?

Rethinking the Correlation in Few-Shot Segmentation: A Buoys View

SIM: Semantic-Aware Instance Mask Generation for Box-Supervised Instance Segmentation

Endpoints Weight Fusion for Class Incremental Semantic Segmentation

Incrementer: Transformer for Class-Incremental Semantic Segmentation With Knowledge Distillation Focusing on Old Class

Continuous Pseudo-Label Rectified Domain Adaptive Semantic Segmentation With Implicit Neural Representations

Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation

Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object Detection

Texture-Guided Saliency Distilling for Unsupervised Salient Object Detection

An Erudite Fine-Grained Visual Classification Model

Dynamic Graph Learning With Content-Guided Spatial-Frequency Relation Reasoning for Deepfake Detection

ScaleDet: A Scalable Multi-Dataset Object Detector

Multi-Centroid Task Descriptor for Dynamic Class Incremental Inference

Matching Is Not Enough: A Two-Stage Framework for Category-Agnostic Pose Estimation

Dynamic Coarse-To-Fine Learning for Oriented Tiny Object Detection

Dense Distinct Query for End-to-End Object Detection

Meta-Tuning Loss Functions and Data Augmentation for Few-Shot Object Detection

One-to-Few Label Assignment for End-to-End Dense Detection

Test Time Adaptation With Regularized Loss for Weakly Supervised Salient Object Detection

MixTeacher: Mining Promising Labels With Mixed Scale Teacher for Semi-Supervised Object Detection

Exploring Incompatible Knowledge Transfer in Few-Shot Image Generation

Exploring Intra-Class Variation Factors With Learnable Cluster Prompts for Semi-Supervised Image Synthesis

A Soma Segmentation Benchmark in Full Adult Fly Brain

SDC-UDA: Volumetric Unsupervised Domain Adaptation Framework for Slice-Direction Continuous Cross-Modality Medical Image Segmentation

Label-Free Liver Tumor Segmentation

Interactive and Explainable Region-Guided Radiology Report Generation

A Loopback Network for Explainable Microvascular Invasion Classification

Task-Specific Fine-Tuning via Variational Information Bottleneck for Weakly-Supervised Pathology Whole Slide Image Classification

YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors

Two-Way Multi-Label Loss

Teaching Matters: Investigating the Role of Supervision in Vision Transformers

Detection of Out-of-Distribution Samples Using Binary Neuron Activation Patterns

Label Information Bottleneck for Label Enhancement

Glocal Energy-Based Learning for Few-Shot Open-Set Recognition

Noisy Correspondence Learning With Meta Similarity Correction

Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-Shot Learning With Hyperspherical Embeddings

Coreset Sampling From Open-Set for Fine-Grained Self-Supervised Learning

Boosting Semi-Supervised Learning by Exploiting All Unlabeled Data

Trade-Off Between Robustness and Accuracy of Vision Transformers

Exploring and Utilizing Pattern Imbalance

Dynamic Conceptional Contrastive Learning for Generalized Category Discovery

Towards Better Decision Forests: Forest Alternating Optimization

Learning Debiased Representations via Conditional Attribute Interpolation

On the Pitfall of Mixup for Uncertainty Calibration

Class Relationship Embedded Learning for Source-Free Unsupervised Domain Adaptation

FeatureBooster: Boosting Feature Descriptors With a Lightweight Neural Network

Guiding Pseudo-Labels With Uncertainty Estimation for Source-Free Unsupervised Domain Adaptation

Divide and Adapt: Active Domain Adaptation via Customized Learning

Understanding and Constructing Latent Modality Structures in Multi-Modal Representation Learning

Deep Factorized Metric Learning

Meta-Causal Learning for Single Domain Generalization

Meta Omnium: A Benchmark for General-Purpose Learning-To-Learn

Robust Mean Teacher for Continual and Gradual Test-Time Adaptation

NAR-Former: Neural Architecture Representation Learning Towards Holistic Attributes Prediction

Visual Query Tuning: Towards Effective Usage of Intermediate Representations for Parameter and Memory Efficient Transfer Learning

Architecture, Dataset and Model-Scale Agnostic Data-Free Meta-Learning

GKEAL: Gaussian Kernel Embedded Analytic Learning for Few-Shot Class Incremental Task

Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing With Non-Learnable Primitives

Boundary Unlearning: Rapid Forgetting of Deep Networks via Shifting the Decision Boundary

Task Difficulty Aware Parameter Allocation & Regularization for Lifelong Learning

Learning To Retain While Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation

A Unified Knowledge Distillation Framework for Deep Directed Graphical Models

Coaching a Teachable Student

Adaptive Plasticity Improvement for Continual Learning

Improving Generalization of Meta-Learning With Inverted Regularization at Inner-Level

Trainable Projected Gradient Method for Robust Fine-Tuning

Imitation Learning As State Matching via Differentiable Physics

Improved Distribution Matching for Dataset Condensation

A General Regret Bound of Preconditioned Gradient Method for DNN Training

From Node Interaction To Hop Interaction: New Effective and Scalable Graph Learning Paradigm

Constructing Deep Spiking Neural Networks From Artificial Neural Networks With Knowledge Distillation

Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks

MobileOne: An Improved One Millisecond Mobile Backbone

Understanding Masked Autoencoders via Hierarchical Latent Variable Models

Training Debiased Subnetworks With Contrastive Weight Pruning

One-Shot Model for Mixed-Precision Quantization

Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective

Adaptive Data-Free Quantization

Learning To Generate Image Embeddings With User-Level Differential Privacy

Cross-GAN Auditing: Unsupervised Identification of Attribute Level Similarities and Differences Between Pretrained Generative Models

HandsOff: Labeled Dataset Generation With No Additional Human Annotations

Attribute-Preserving Face Dataset Anonymization via Latent Code Optimization

Fake It Till You Make It: Learning Transferable Representations From Synthetic ImageNet Clones

Unbiased Multiple Instance Learning for Weakly Supervised Video Anomaly Detection

Multimodal Industrial Anomaly Detection via Hybrid Fusion

FedSeg: Class-Heterogeneous Federated Learning for Semantic Segmentation

Decentralized Learning With Multi-Headed Distillation

Learning Federated Visual Prompt in Null Space for MRI Reconstruction

Federated Learning With Data-Agnostic Distribution Fusion

CaPriDe Learning: Confidential and Private Decentralized Learning Based on Encryption-Friendly Distillation Loss

RiDDLE: Reversible and Diversified De-Identification With Latent Encryptor

Multi-View Adversarial Discriminator: Mine the Non-Causal Factors for Object Detection in Unseen Domains

Single Image Backdoor Inversion via Robust Smoothed Classifiers

Effective Ambiguity Attack Against Passport-Based DNN Intellectual Property Protection Schemes Through Fully Connected Layer Substitution

Color Backdoor: A Robust Poisoning Attack in Color Space

Adversarially Robust Neural Architecture Search for Graph Neural Networks

Minimizing Maximum Model Discrepancy for Transferable Black-Box Targeted Attacks

StyLess: Boosting the Transferability of Adversarial Examples

Improving the Transferability of Adversarial Samples by Path-Augmented Method

Feature Separation and Recalibration for Adversarial Robustness

CFA: Class-Wise Calibrated Fair Adversarial Training

Revisiting Residual Networks for Adversarial Robustness

Privacy-Preserving Adversarial Facial Features

Edge-Aware Regional Message Passing Controller for Image Forgery Localization

(ends 6:00 PM)

7 p.m.

WED 21 JUN

7:30 a.m.

Breakfast:

Breakfast

(ends 9:00 AM)

8:30 a.m.

Award:

Award Ceremony

(ends 9:00 AM)

9 a.m.

Keynote:

An AI Odyssey: the Dark Matter of Intelligence

Yejin Choi

(ends 10:00 AM)

10 a.m.

Break:

Break

(ends 10:30 AM)

10:30 a.m.

Poster Session WED-AM [10:30-12:00]

Posters 10:30-12:00

Swept-Angle Synthetic Wavelength Interferometry

RefSR-NeRF: Towards High Fidelity and Super Resolution View Synthesis

FreeNeRF: Improving Few-Shot Neural Rendering With Free Frequency Regularization

Local-to-Global Registration for Bundle-Adjusting Neural Radiance Fields

Nerflets: Local Radiance Fields for Efficient Structure-Aware 3D Scene Representation From 2D Supervision

NeRF-DS: Neural Radiance Fields for Dynamic Specular Objects

Grid-Guided Neural Radiance Fields for Large Urban Scenes

Learning Neural Duplex Radiance Fields for Real-Time View Synthesis

EditableNeRF: Editing Topologically Varying Neural Radiance Fields by Key Points

Real-Time Neural Light Field on Mobile Devices

StyleRF: Zero-Shot 3D Style Transfer of Neural Radiance Fields

Point2Pix: Photo-Realistic Point Cloud Rendering via Neural Radiance Fields

Pointersect: Neural Rendering With Cloud-Ray Intersection

Neural Fields Meet Explicit Geometric Representations for Inverse Rendering of Urban Scenes

DANI-Net: Uncalibrated Photometric Stereo by Differentiable Shadow Handling, Anisotropic Reflectance Modeling, and Neural Inverse Rendering

MAIR: Multi-View Attention Inverse Rendering With 3D Spatially-Varying Lighting Estimation

Weakly-Supervised Single-View Image Relighting

Controllable Light Diffusion for Portraits

RGBD2: Generative Scene Synthesis via Incremental View Inpainting Using RGBD Diffusion Models

Neural Lens Modeling

RealFusion: 360° Reconstruction of Any Object From a Single Image

Neuralangelo: High-Fidelity Neural Surface Reconstruction

PermutoSDF: Fast Multi-View Reconstruction With Implicit Surfaces Using Permutohedral Lattices

NeuDA: Neural Deformable Anchor for High-Fidelity Implicit Surface Reconstruction

NEF: Neural Edge Fields for 3D Parametric Curve Reconstruction From Multi-View Images

NeuralField-LDM: Scene Generation With Hierarchical Latent Diffusion Models

SinGRAF: Learning a 3D Generative Radiance Field for a Single Scene

Painting 3D Nature in 2D: View Synthesis of Natural Scenes From a Single Semantic Mask

Quantitative Manipulation of Custom Attributes on 3D-Aware Image Synthesis

NeRFInvertor: High Fidelity NeRF-GAN Inversion for Single-Shot Real Image Animation

PREIM3D: 3D Consistent Precise Image Attribute Editing From a Single Image

Unsupervised 3D Shape Reconstruction by Part Retrieval and Assembly

DiffSwap: High-Fidelity and Controllable Face Swapping via 3D-Aware Masked Diffusion

Fine-Grained Face Swapping via Regional GAN Inversion

Logical Consistency and Greater Descriptive Power for Facial Hair Attribute Learning

Learning a 3D Morphable Face Reflectance Model From Low-Cost Data

StyleGAN Salon: Multi-View Latent Optimization for Pose-Invariant Hairstyle Transfer

FaceLit: Neural 3D Relightable Faces

FitMe: Deep Photorealistic 3D Morphable Model Avatars

NeuWigs: A Neural Dynamic Model for Volumetric Hair Capture and Animation

SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation

High-Fidelity Clothed Avatar Reconstruction From a Single Image

Music-Driven Group Choreography

Hand Avatar: Free-Pose Hand Animation and Rendering From Monocular Video

Biomechanics-Guided Facial Action Unit Detection Through Force Modeling

Zero-Shot Pose Transfer for Unrigged Stylized 3D Characters

Invertible Neural Skinning

BEDLAM: A Synthetic Dataset of Bodies Exhibiting Detailed Lifelike Animated Motion

DIFu: Depth-Guided Implicit Function for Clothed Human Reconstruction

Complete 3D Human Reconstruction From a Single Incomplete Image

Learning Neural Volumetric Representations of Dynamic Humans in Minutes

Marching-Primitives: Shape Abstraction From Signed Distance Function

Learning Analytical Posterior Probability for Human Mesh Recovery

MagicPony: Learning Articulated 3D Animals in the Wild

Visual-Tactile Sensing for In-Hand Object Reconstruction

Command-Driven Articulated Object Understanding and Manipulation

Target-Referenced Reactive Grasping for Dynamic Objects

NeuralDome: A Neural Modeling Pipeline on Multi-View Human-Object Interactions

A2J-Transformer: Anchor-to-Joint Transformer Network for 3D Interacting Hand Pose Estimation From a Single RGB Image

TRACE: 5D Temporal Regression of Avatars With Dynamic Cameras in 3D Environments

BITE: Beyond Priors for Improved Three-D Dog Pose Estimation

PoseFormerV2: Exploring Frequency Domain for Efficient and Robust 3D Human Pose Estimation

Global-to-Local Modeling for Video-Based 3D Human Pose and Shape Estimation

TokenHPE: Learning Orientation Tokens for Efficient Head Pose Estimation via Transformers

GFIE: A Dataset and Baseline for Gaze-Following From 2D to 3D in Indoor Environments

Robot Structure Prior Guided Temporal Attention for Camera-to-Robot Pose Estimation From Image Sequence

Rigidity-Aware Detection for 6D Object Pose Estimation

Crowd3D: Towards Hundreds of People Reconstruction From a Single Image

Object Pose Estimation With Statistical Guarantees: Conformal Keypoint Detection and Geometric Uncertainty Propagation

expOSE: Accurate Initialization-Free Projective Factorization Using Exponential Regularization

Neural Voting Field for Camera-Space 3D Hand Pose Estimation

Two-View Geometry Scoring Without Correspondences

Four-View Geometry With Unknown Radial Distortion

BKinD-3D: Self-Supervised 3D Keypoint Discovery From Multi-View Videos

BAAM: Monocular 3D Pose and Shape Reconstruction With Bi-Contextual Attention Module and Attention-Guided Modeling

Multi-Object Manipulation via Object-Centric Neural Scattering Functions

Neural Part Priors: Learning To Optimize Part-Based Object Completion in RGB-D Scans

Panoptic Lifting for 3D Scene Understanding With Neural Fields

Virtual Occlusions Through Implicit Depth

Multiview Compressive Coding for 3D Reconstruction

Behind the Scenes: Density Fields for Single View Reconstruction

VoxFormer: Sparse Voxel Transformer for Camera-Based 3D Semantic Scene Completion

Renderable Neural Radiance Map for Visual Navigation

Learning To Detect Mirrors From Videos via Dual Correspondences

Temporally Consistent Online Depth Estimation Using Point-Based Fusion

Zero-Shot Dual-Lens Super-Resolution

Fully Self-Supervised Depth Estimation From Defocus Clue

MVImgNet: A Large-Scale Dataset of Multi-View Images

Revisiting the Stack-Based Inverse Tone Mapping

Combining Implicit-Explicit View Correlation for Light Field Semantic Segmentation

3D Spatial Multimodal Knowledge Accumulation for Scene Graph Prediction in Point Cloud

Role of Transients in Two-Bounce Non-Line-of-Sight Imaging

3D Concept Learning and Reasoning From Multi-View Images

Viewpoint Equivariance for Multi-View 3D Object Detection

Tri-Perspective View for Vision-Based 3D Semantic Occupancy Prediction

BEV@DC: Bird’s-Eye View Assisted Training for Depth Completion

Collaboration Helps Camera Overtake LiDAR in 3D Detection

Uni3D: A Unified Baseline for Multi-Dataset 3D Object Detection

Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration

Depth Estimation From Camera Image and mmWave Radar Point Cloud

SGLoc: Scene Geometry Encoding for Outdoor LiDAR Localization

ConQueR: Query Contrast Voxel-DETR for 3D Object Detection

DeepMapping2: Self-Supervised Large-Scale LiDAR Map Optimization

Towards Unsupervised Object Detection From LiDAR Point Clouds

MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences

Hidden Gems: 4D Radar Scene Flow Learning Using Cross-Modal Supervision

Instant Domain Augmentation for LiDAR Semantic Segmentation

Less Is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation

MarS3D: A Plug-and-Play Motion-Aware Model for Semantic Segmentation on Multi-Scan 3D Point Clouds