CVPR 2023 Schedule

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SUN 18 JUN

MON 19 JUN

TUE 20 JUN

7 p.m.

WED 21 JUN

THU 22 JUN

10:30 a.m.

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

Posters 10:30-12:00

Fresnel Microfacet BRDF: Unification of Polari-Radiometric Surface-Body Reflection

JacobiNeRF: NeRF Shaping With Mutual Information Gradients

ContraNeRF: Generalizable Neural Radiance Fields for Synthetic-to-Real Novel View Synthesis via Contrastive Learning

SCADE: NeRFs from Space Carving With Ambiguity-Aware Depth Estimates

Removing Objects From Neural Radiance Fields

Progressively Optimized Local Radiance Fields for Robust View Synthesis

NeRFVS: Neural Radiance Fields for Free View Synthesis via Geometry Scaffolds

ABLE-NeRF: Attention-Based Rendering With Learnable Embeddings for Neural Radiance Field

MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures

pCON: Polarimetric Coordinate Networks for Neural Scene Representations

Balanced Spherical Grid for Egocentric View Synthesis

Complementary Intrinsics From Neural Radiance Fields and CNNs for Outdoor Scene Relighting

HyperReel: High-Fidelity 6-DoF Video With Ray-Conditioned Sampling

UV Volumes for Real-Time Rendering of Editable Free-View Human Performance

Tensor4D: Efficient Neural 4D Decomposition for High-Fidelity Dynamic Reconstruction and Rendering

PixHt-Lab: Pixel Height Based Light Effect Generation for Image Compositing

Computational Flash Photography Through Intrinsics

RelightableHands: Efficient Neural Relighting of Articulated Hand Models

TMO: Textured Mesh Acquisition of Objects With a Mobile Device by Using Differentiable Rendering

VolRecon: Volume Rendering of Signed Ray Distance Functions for Generalizable Multi-View Reconstruction

Multi-View Reconstruction Using Signed Ray Distance Functions (SRDF)

Structural Multiplane Image: Bridging Neural View Synthesis and 3D Reconstruction

Octree Guided Unoriented Surface Reconstruction

Neural Vector Fields: Implicit Representation by Explicit Learning

DA Wand: Distortion-Aware Selection Using Neural Mesh Parameterization

Diffusion-Based Generation, Optimization, and Planning in 3D Scenes

Patch-Based 3D Natural Scene Generation From a Single Example

Consistent View Synthesis With Pose-Guided Diffusion Models

Generalized Deep 3D Shape Prior via Part-Discretized Diffusion Process

High Fidelity 3D Hand Shape Reconstruction via Scalable Graph Frequency Decomposition

TAPS3D: Text-Guided 3D Textured Shape Generation From Pseudo Supervision

SECAD-Net: Self-Supervised CAD Reconstruction by Learning Sketch-Extrude Operations

Interactive Cartoonization With Controllable Perceptual Factors

High-Res Facial Appearance Capture From Polarized Smartphone Images

GlassesGAN: Eyewear Personalization Using Synthetic Appearance Discovery and Targeted Subspace Modeling

Continuous Landmark Detection With 3D Queries

NeuFace: Realistic 3D Neural Face Rendering From Multi-View Images

AVFace: Towards Detailed Audio-Visual 4D Face Reconstruction

Learning Personalized High Quality Volumetric Head Avatars From Monocular RGB Videos

OTAvatar: One-Shot Talking Face Avatar With Controllable Tri-Plane Rendering

X-Avatar: Expressive Human Avatars

InstantAvatar: Learning Avatars From Monocular Video in 60 Seconds

JAWS: Just a Wild Shot for Cinematic Transfer in Neural Radiance Fields

MonoHuman: Animatable Human Neural Field From Monocular Video

Structured 3D Features for Reconstructing Controllable Avatars

HOOD: Hierarchical Graphs for Generalized Modelling of Clothing Dynamics

Physically Realizable Natural-Looking Clothing Textures Evade Person Detectors via 3D Modeling

Learning Semantic-Aware Disentangled Representation for Flexible 3D Human Body Editing

Reconstructing Animatable Categories From Videos

Deformable Mesh Transformer for 3D Human Mesh Recovery

Hi4D: 4D Instance Segmentation of Close Human Interaction

Bringing Inputs to Shared Domains for 3D Interacting Hands Recovery in the Wild

Learning Human Mesh Recovery in 3D Scenes

H2ONet: Hand-Occlusion-and-Orientation-Aware Network for Real-Time 3D Hand Mesh Reconstruction

What You Can Reconstruct From a Shadow

Autonomous Manipulation Learning for Similar Deformable Objects via Only One Demonstration

In-Hand 3D Object Scanning From an RGB Sequence

Putting People in Their Place: Affordance-Aware Human Insertion Into Scenes

Detecting Human-Object Contact in Images

What Happened 3 Seconds Ago? Inferring the Past With Thermal Imaging

Trajectory-Aware Body Interaction Transformer for Multi-Person Pose Forecasting

Mutual Information-Based Temporal Difference Learning for Human Pose Estimation in Video

Ego-Body Pose Estimation via Ego-Head Pose Estimation

ViPLO: Vision Transformer Based Pose-Conditioned Self-Loop Graph for Human-Object Interaction Detection

HS-Pose: Hybrid Scope Feature Extraction for Category-Level Object Pose Estimation

ScarceNet: Animal Pose Estimation With Scarce Annotations

Cross-Domain 3D Hand Pose Estimation With Dual Modalities

Linking Garment With Person via Semantically Associated Landmarks for Virtual Try-On

Level-S

$^2$ fM: Structure From Motion on Neural Level Set of Implicit Surfaces

Revisiting Rotation Averaging: Uncertainties and Robust Losses

SliceMatch: Geometry-Guided Aggregation for Cross-View Pose Estimation

Learning the Distribution of Errors in Stereo Matching for Joint Disparity and Uncertainty Estimation

Long-Term Visual Localization With Mobile Sensors

Learning To Predict Scene-Level Implicit 3D From Posed RGBD Data

Paired-Point Lifting for Enhanced Privacy-Preserving Visual Localization

The ObjectFolder Benchmark: Multisensory Learning With Neural and Real Objects

Learning Accurate 3D Shape Based on Stereo Polarimetric Imaging

RUST: Latent Neural Scene Representations From Unposed Imagery

Perspective Fields for Single Image Camera Calibration

VisFusion: Visibility-Aware Online 3D Scene Reconstruction From Videos

DeepLSD: Line Segment Detection and Refinement With Deep Image Gradients

Disentangling Orthogonal Planes for Indoor Panoramic Room Layout Estimation With Cross-Scale Distortion Awareness

Single Image Depth Prediction Made Better: A Multivariate Gaussian Take

Wide-Angle Rectification via Content-Aware Conformal Mapping

All-in-Focus Imaging From Event Focal Stack

Multi-View Stereo Representation Revist: Region-Aware MVSNet

Semantic Ray: Learning a Generalizable Semantic Field With Cross-Reprojection Attention

OmniCity: Omnipotent City Understanding With Multi-Level and Multi-View Images

ESLAM: Efficient Dense SLAM System Based on Hybrid Representation of Signed Distance Fields

Non-Line-of-Sight Imaging With Signal Superresolution Network

Look, Radiate, and Learn: Self-Supervised Localisation via Radio-Visual Correspondence

Learning Transformations To Reduce the Geometric Shift in Object Detection

Anchor3DLane: Learning To Regress 3D Anchors for Monocular 3D Lane Detection

BEV-SAN: Accurate BEV 3D Object Detection via Slice Attention Networks

Semi-Supervised Stereo-Based 3D Object Detection via Cross-View Consensus

Weakly Supervised Monocular 3D Object Detection Using Multi-View Projection and Direction Consistency

MonoATT: Online Monocular 3D Object Detection With Adaptive Token Transformer

Azimuth Super-Resolution for FMCW Radar in Autonomous Driving

Pix2map: Cross-Modal Retrieval for Inferring Street Maps From Images

LoGoNet: Towards Accurate 3D Object Detection With Local-to-Global Cross-Modal Fusion

Neural Map Prior for Autonomous Driving

Spherical Transformer for LiDAR-Based 3D Recognition

Density-Insensitive Unsupervised Domain Adaption on 3D Object Detection

PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds

PeakConv: Learning Peak Receptive Field for Radar Semantic Segmentation

Single Domain Generalization for LiDAR Semantic Segmentation

Weakly Supervised Class-Agnostic Motion Prediction for Autonomous Driving

MethaneMapper: Spectral Absorption Aware Hyperspectral Transformer for Methane Detection

GrowSP: Unsupervised Semantic Segmentation of 3D Point Clouds

SCoDA: Domain Adaptive Shape Completion for Real Scans

SCPNet: Semantic Scene Completion on Point Cloud

ViewNet: A Novel Projection-Based Backbone With View Pooling for Few-Shot Point Cloud Classification

Complete-to-Partial 4D Distillation for Self-Supervised Point Cloud Sequence Representation Learning

Learnable Skeleton-Aware 3D Point Cloud Sampling

Meta Architecture for Point Cloud Analysis

PointListNet: Deep Learning on 3D Point Lists

PEAL: Prior-Embedded Explicit Attention Learning for Low-Overlap Point Cloud Registration

Unsupervised Inference of Signed Distance Functions From Single Sparse Point Clouds Without Learning Priors

Towards Better Gradient Consistency for Neural Signed Distance Functions via Level Set Alignment

Self-Supervised Learning for Multimodal Non-Rigid 3D Shape Matching

3D Registration With Maximal Cliques

PanoSwin: A Pano-Style Swin Transformer for Panorama Understanding

DKM: Dense Kernelized Feature Matching for Geometry Estimation

PATS: Patch Area Transportation With Subdivision for Local Feature Matching

Correspondence Transformers With Asymmetric Feature Learning and Matching Flow Super-Resolution

Learning Adaptive Dense Event Stereo From the Image Domain

On the Convergence of IRLS and Its Variants in Outlier-Robust Estimation

You Only Segment Once: Towards Real-Time Panoptic Segmentation

BEVFormer v2: Adapting Modern Image Backbones to Bird’s-Eye-View Recognition via Perspective Supervision

UniHCP: A Unified Model for Human-Centric Perceptions

Planning-Oriented Autonomous Driving

Query-Centric Trajectory Prediction

Unsupervised Sampling Promoting for Stochastic Human Trajectory Prediction

AdamsFormer for Spatial Action Localization in the Future

PIRLNav: Pretraining With Imitation and RL Finetuning for ObjectNav

NeRF in the Palm of Your Hand: Corrective Augmentation for Robotics via Novel-View Synthesis

Camouflaged Instance Segmentation via Explicit De-Camouflaging

Standing Between Past and Future: Spatio-Temporal Modeling for Multi-Camera 3D Multi-Object Tracking

MotionTrack: Learning Robust Short-Term and Long-Term Motions for Multi-Object Tracking

Multi-Modal Gait Recognition via Effective Spatial-Temporal Feature Fusion

Rethinking the Learning Paradigm for Dynamic Facial Expression Recognition

One-Shot High-Fidelity Talking-Head Synthesis With Deformable Neural Radiance Field

Progressive Disentangled Representation Learning for Fine-Grained Controllable Talking Head Synthesis

Event-Guided Person Re-Identification via Sparse-Dense Complementary Learning

Executing Your Commands via Motion Diffusion in Latent Space

MoLo: Motion-Augmented Long-Short Contrastive Learning for Few-Shot Action Recognition

“Seeing” Electric Network Frequency From Events

Event-Based Video Frame Interpolation With Cross-Modal Asymmetric Bidirectional Motion Fields

Event-Based Frame Interpolation With Ad-Hoc Deblurring

Video Dehazing via a Multi-Range Temporal Alignment Network With Physical Prior

TransFlow: Transformer As Flow Learner

MP-Former: Mask-Piloted Transformer for Image Segmentation

GradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency

Neural Texture Synthesis With Guided Correspondence

Self-Supervised Non-Uniform Kernel Estimation With Flow-Based Motion Prior for Blind Image Deblurring

Decoupling-and-Aggregating for Image Exposure Correction

You Do Not Need Additional Priors or Regularizers in Retinex-Based Low-Light Image Enhancement

DNF: Decouple and Feedback Network for Seeing in the Dark

Contrastive Semi-Supervised Learning for Underwater Image Restoration via Reliable Bank

LG-BPN: Local and Global Blind-Patch Network for Self-Supervised Real-World Denoising

Spectral Bayesian Uncertainty for Image Super-Resolution

Deep Random Projector: Accelerated Deep Image Prior

Context-Aware Pretraining for Efficient Blind Image Decomposition

Metadata-Based RAW Reconstruction via Implicit Neural Functions

Raw Image Reconstruction With Learned Compact Metadata

AccelIR: Task-Aware Image Compression for Accelerating Neural Restoration

AutoFocusFormer: Image Segmentation off the Grid

Guided Depth Super-Resolution by Deep Anisotropic Diffusion

Super-Resolution Neural Operator

Cascaded Local Implicit Transformer for Arbitrary-Scale Super-Resolution

GamutMLP: A Lightweight MLP for Color Loss Recovery

Efficient and Explicit Modelling of Image Hierarchies for Image Restoration

LEMaRT: Label-Efficient Masked Region Transform for Image Harmonization

CAP-VSTNet: Content Affinity Preserved Versatile Style Transfer

ObjectStitch: Object Compositing With Diffusion Model

DeepVecFont-v2: Exploiting Transformers To Synthesize Vector Fonts With Higher Quality

Master: Meta Style Transformer for Controllable Zero-Shot and Few-Shot Artistic Style Transfer

CLIP-Sculptor: Zero-Shot Generation of High-Fidelity and Diverse Shapes From Natural Language

LayoutDM: Transformer-Based Diffusion Model for Layout Generation

Imagen Editor and EditBench: Advancing and Evaluating Text-Guided Image Inpainting

SpaText: Spatio-Textual Representation for Controllable Image Generation

Paint by Example: Exemplar-Based Image Editing With Diffusion Models

InstructPix2Pix: Learning To Follow Image Editing Instructions

LayoutFormer++: Conditional Graphic Layout Generation via Constraint Serialization and Decoding Space Restriction

Self-Guided Diffusion Models

HOLODIFFUSION: Training a 3D Diffusion Model Using 2D Images

Class-Balancing Diffusion Models

Conditional Image-to-Video Generation With Latent Flow Diffusion Models

Video Probabilistic Diffusion Models in Projected Latent Space

Regularized Vector Quantization for Tokenized Image Synthesis

EfficientSCI: Densely Connected Network With Space-Time Factorization for Large-Scale Video Snapshot Compressive Imaging

MMVC: Learned Multi-Mode Video Compression With Block-Based Prediction Mode Selection and Density-Adaptive Entropy Coding

Video Compression With Entropy-Constrained Neural Representations

WIRE: Wavelet Implicit Neural Representations

TINC: Tree-Structured Implicit Neural Compression

CompletionFormer: Depth Completion With Convolutions and Vision Transformers

Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation

Global Vision Transformer Pruning With Hessian-Aware Saliency

Lite DETR: An Interleaved Multi-Scale Encoder for Efficient DETR

PaCa-ViT: Learning Patch-to-Cluster Attention in Vision Transformers

Visual Atoms: Pre-Training Vision Transformers With Sinusoidal Waves

Neuron Structure Modeling for Generalizable Remote Physiological Measurement

Explaining Image Classifiers With Multiscale Directional Image Representation

Integrally Pre-Trained Transformer Pyramid Networks

PartMix: Regularization Strategy To Learn Part Discovery for Visible-Infrared Person Re-Identification

Knowledge Distillation for 6D Pose Estimation by Aligning Distributions of Local Predictions

Focused and Collaborative Feedback Integration for Interactive Image Segmentation

PolyFormer: Referring Image Segmentation As Sequential Polygon Generation

Devil’s on the Edges: Selective Quad Attention for Scene Graph Generation

Panoptic Video Scene Graph Generation

Generalized Relation Modeling for Transformer Tracking

Representation Learning for Visual Object Tracking by Masked Appearance Transfer

Unified Mask Embedding and Correspondence Learning for Self-Supervised Video Segmentation

EVAL: Explainable Video Anomaly Localization

MOSO: Decomposing MOtion, Scene and Object for Video Prediction

TarViS: A Unified Approach for Target-Based Video Segmentation

Efficient Movie Scene Detection Using State-Space Transformers

Latency Matters: Real-Time Action Forecasting Transformer

Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning

Watch or Listen: Robust Audio-Visual Speech Recognition With Visual Corruption Modeling and Reliability Scoring

ReVISE: Self-Supervised Speech Resynthesis With Visual Input for Universal and Generalized Speech Regeneration

SynthVSR: Scaling Up Visual Speech Recognition With Synthetic Supervision

SVFormer: Semi-Supervised Video Transformer for Action Recognition

Collecting Cross-Modal Presence-Absence Evidence for Weakly-Supervised Audio-Visual Event Perception

Post-Processing Temporal Action Detection

HaLP: Hallucinating Latent Positives for Skeleton-Based Self-Supervised Learning of Actions

TriDet: Temporal Action Detection With Relative Boundary Modeling

Hybrid Active Learning via Deep Clustering for Video Action Detection

Two-Stream Networks for Weakly-Supervised Temporal Action Localization With Semantic-Aware Mechanisms

Weakly Supervised Video Emotion Detection and Prediction via Cross-Modal Temporal Erasing Network

Collaborative Noisy Label Cleaner: Learning Scene-Aware Trailers for Multi-Modal Highlight Detection in Movies

Weakly Supervised Temporal Sentence Grounding With Uncertainty-Guided Self-Training

SViTT: Temporal Learning of Sparse Video-Text Transformers

AutoAD: Movie Description in Context

Text With Knowledge Graph Augmented Transformer for Video Captioning

StepFormer: Self-Supervised Step Discovery and Localization in Instructional Videos

Dual Alignment Unsupervised Domain Adaptation for Video-Text Retrieval

Hierarchical Semantic Correspondence Networks for Video Paragraph Grounding

CLIPPING: Distilling CLIP-Based Models With a Student Base for Video-Language Retrieval

Learning Emotion Representations From Verbal and Nonverbal Communication

Context De-Confounded Emotion Recognition

CiCo: Domain-Aware Sign Language Retrieval via Cross-Lingual Contrastive Learning

Discovering the Real Association: Multimodal Causal Reasoning in Video Question Answering

LEGO-Net: Learning Regular Rearrangements of Objects in Rooms

LANA: A Language-Capable Navigator for Instruction Following and Generation

Policy Adaptation From Foundation Model Feedback

Token Turing Machines

Unicode Analogies: An Anti-Objectivist Visual Reasoning Challenge

Exploring the Effect of Primitives for Compositional Generalization in Vision-and-Language

VQACL: A Novel Visual Question Answering Continual Learning Setting

MaPLe: Multi-Modal Prompt Learning

Meta-Personalizing Vision-Language Models To Find Named Instances in Video

Understanding and Improving Visual Prompting: A Label-Mapping Perspective

RefTeacher: A Strong Baseline for Semi-Supervised Referring Expression Comprehension

Leveraging per Image-Token Consistency for Vision-Language Pre-Training

Improving Visual Grounding by Encouraging Consistent Gradient-Based Explanations

Image as a Foreign Language: BEiT Pretraining for Vision and Vision-Language Tasks

Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification

Shepherding Slots to Objects: Towards Stable and Robust Object-Centric Learning

Learning Visual Representations via Language-Guided Sampling

L-CoIns: Language-Based Colorization With Instance Awareness

EDA: Explicit Text-Decoupling and Dense Alignment for 3D Visual Grounding

MSINet: Twins Contrastive Search of Multi-Scale Interaction for Object ReID

Unifying Vision, Text, and Layout for Universal Document Processing

RA-CLIP: Retrieval Augmented Contrastive Language-Image Pre-Training

Fine-Grained Image-Text Matching by Cross-Modal Hard Aligning Network

Text-Guided Unsupervised Latent Transformation for Multi-Attribute Image Manipulation

Improving Image Recognition by Retrieving From Web-Scale Image-Text Data

Pic2Word: Mapping Pictures to Words for Zero-Shot Composed Image Retrieval

DATE: Domain Adaptive Product Seeker for E-Commerce

Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning With Multimodal Models

Finetune Like You Pretrain: Improved Finetuning of Zero-Shot Vision Models

DeepSolo: Let Transformer Decoder With Explicit Points Solo for Text Spotting

EVA: Exploring the Limits of Masked Visual Representation Learning at Scale

R2Former: Unified Retrieval and Reranking Transformer for Place Recognition

Open-Set Fine-Grained Retrieval via Prompting Vision-Language Evaluator

Open-Category Human-Object Interaction Pre-Training via Language Modeling Framework

Neural Congealing: Aligning Images to a Joint Semantic Atlas

Open Vocabulary Semantic Segmentation With Patch Aligned Contrastive Learning

Semantic Human Parsing via Scalable Semantic Transfer Over Multiple Label Domains

Explicit Visual Prompting for Low-Level Structure Segmentations

FreeSeg: Unified, Universal and Open-Vocabulary Image Segmentation

Zero-Shot Referring Image Segmentation With Global-Local Context Features

DejaVu: Conditional Regenerative Learning To Enhance Dense Prediction

Meta Compositional Referring Expression Segmentation

Interactive Segmentation As Gaussion Process Classification

Semantic-Promoted Debiasing and Background Disambiguation for Zero-Shot Instance Segmentation

Principles of Forgetting in Domain-Incremental Semantic Segmentation in Adverse Weather Conditions

AttentionShift: Iteratively Estimated Part-Based Attention Map for Pointly Supervised Instance Segmentation

PIDNet: A Real-Time Semantic Segmentation Network Inspired by PID Controllers

Leveraging Hidden Positives for Unsupervised Semantic Segmentation

Understanding Imbalanced Semantic Segmentation Through Neural Collapse

Balancing Logit Variation for Long-Tailed Semantic Segmentation

Boundary-Enhanced Co-Training for Weakly Supervised Semantic Segmentation

Conflict-Based Cross-View Consistency for Semi-Supervised Semantic Segmentation

Learning Multi-Modal Class-Specific Tokens for Weakly Supervised Dense Object Localization

WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation

DualRel: Semi-Supervised Mitochondria Segmentation From a Prototype Perspective

Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation

Co-Salient Object Detection With Uncertainty-Aware Group Exchange-Masking

Supervised Masked Knowledge Distillation for Few-Shot Transformers

Modeling the Distributional Uncertainty for Salient Object Detection Models

Weak-Shot Object Detection Through Mutual Knowledge Transfer

CAT: LoCalization and IdentificAtion Cascade Detection Transformer for Open-World Object Detection

Adaptive Sparse Pairwise Loss for Object Re-Identification

DETRs With Hybrid Matching

Generating Features With Increased Crop-Related Diversity for Few-Shot Object Detection

ScaleKD: Distilling Scale-Aware Knowledge in Small Object Detector

Multiclass Confidence and Localization Calibration for Object Detection

Open-Set Representation Learning Through Combinatorial Embedding

ProD: Prompting-To-Disentangle Domain Knowledge for Cross-Domain Few-Shot Image Classification

Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images

FFF: Fragment-Guided Flexible Fitting for Building Complete Protein Structures

Pseudo-Label Guided Contrastive Learning for Semi-Supervised Medical Image Segmentation

Hierarchical Discriminative Learning Improves Visual Representations of Biomedical Microscopy

KiUT: Knowledge-Injected U-Transformer for Radiology Report Generation

Image Quality-Aware Diagnosis via Meta-Knowledge Co-Embedding

Interventional Bag Multi-Instance Learning on Whole-Slide Pathological Images

Visual Prompt Tuning for Generative Transfer Learning

LINe: Out-of-Distribution Detection by Leveraging Important Neurons

GCFAgg: Global and Cross-View Feature Aggregation for Multi-View Clustering

Exploring and Exploiting Uncertainty for Incomplete Multi-View Classification

BiCro: Noisy Correspondence Rectification for Multi-Modality Data via Bi-Directional Cross-Modal Similarity Consistency

Bi-Directional Distribution Alignment for Transductive Zero-Shot Learning

HIER: Metric Learning Beyond Class Labels via Hierarchical Regularization

MaskCon: Masked Contrastive Learning for Coarse-Labelled Dataset

Class Prototypes Based Contrastive Learning for Classifying Multi-Label and Fine-Grained Educational Videos

Learning From Noisy Labels With Decoupled Meta Label Purifier

SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail

Why Is the Winner the Best?

Balanced Product of Calibrated Experts for Long-Tailed Recognition

Transfer Knowledge From Head to Tail: Uncertainty Calibration Under Long-Tailed Distribution

FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding

COT: Unsupervised Domain Adaptation With Clustering and Optimal Transport

MHPL: Minimum Happy Points Learning for Active Source Free Domain Adaptation

Upcycling Models Under Domain and Category Shift

PMR: Prototypical Modal Rebalance for Multimodal Learning

MMANet: Margin-Aware Distillation and Modality-Aware Regularization for Incomplete Multimodal Learning

Feature Alignment and Uniformity for Test Time Adaptation

Revisiting Prototypical Network for Cross Domain Few-Shot Learning

A Whac-a-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others

Independent Component Alignment for Multi-Task Learning

MDL-NAS: A Joint Multi-Domain Learning Framework for Vision Transformer

MELTR: Meta Loss Transformer for Learning To Fine-Tune Video Foundation Models

1% VS 100%: Parameter-Efficient Low Rank Adapter for Dense Predictions

Rebalancing Batch Normalization for Exemplar-Based Class-Incremental Learning

Partial Network Cloning

ERM-KTP: Knowledge-Level Machine Unlearning via Knowledge Transfer

Rethinking Feature-Based Knowledge Distillation for Face Recognition

Regularizing Second-Order Influences for Continual Learning

Generalization Matters: Loss Minima Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation

Decoupling Learning and Remembering: A Bilevel Memory Framework With Knowledge Projection for Task-Incremental Learning

On the Stability-Plasticity Dilemma of Class-Incremental Learning

Simulated Annealing in Early Layers Leads to Better Generalization

Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning

Tunable Convolutions With Parametric Multi-Loss Optimization

Re-Basin via Implicit Sinkhorn Differentiation

Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization

AstroNet: When Astrocyte Meets Artificial Neural Network

Network Expansion for Practical Training Acceleration

Defining and Quantifying the Emergence of Sparse Concepts in DNNs

Samples With Low Loss Curvature Improve Data Efficiency

Masked Images Are Counterfactual Samples for Robust Fine-Tuning

Bias Mimicking: A Simple Sampling Approach for Bias Mitigation

NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers

Practical Network Acceleration With Tiny Sets

TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation

Discriminator-Cooperated Feature Map Distillation for GAN Compression

Private Image Generation With Dual-Purpose Auxiliary Classifier

ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing

Masked Jigsaw Puzzle: A Versatile Position Embedding for Vision Transformers

A New Comprehensive Benchmark for Semi-Supervised Video Anomaly Detection and Anticipation

SimpleNet: A Simple Network for Image Anomaly Detection and Localization

DaFKD: Domain-Aware Federated Knowledge Distillation

Reliable and Interpretable Personalized Federated Learning

Adaptive Channel Sparsity for Federated Learning Under System Heterogeneity

Bias-Eliminating Augmentation Learning for Debiased Federated Learning

Instance-Aware Domain Generalization for Face Anti-Spoofing

Adversarially Masking Synthetic To Mimic Real: Adaptive Noise Injection for Point Cloud Segmentation Adaptation

Model Barrier: A Compact Un-Transferable Isolation Domain for Model Intellectual Property Protection

MEDIC: Remove Model Backdoors via Importance Driven Cloning

Progressive Backdoor Erasing via Connecting Backdoor and Adversarial Attacks

Reinforcement Learning-Based Black-Box Model Inversion Attacks

T-SEA: Transfer-Based Self-Ensemble Attack on Object Detection

Proximal Splitting Adversarial Attack for Semantic Segmentation

Towards Transferable Targeted Adversarial Examples

AGAIN: Adversarial Training With Attribution Span Enlargement and Hybrid Feature Fusion

Generalist: Decoupling Natural and Robust Generalization

Cooperation or Competition: Avoiding Player Domination for Multi-Target Robustness via Adaptive Budgets

Discrete Point-Wise Attack Is Not Enough: Generalized Manifold Adversarial Attack for Face Recognition

RIATIG: Reliable and Imperceptible Adversarial Text-to-Image Generation With Natural Prompts

CLIP2Protect: Protecting Facial Privacy Using Text-Guided Makeup via Adversarial Latent Search

TruFor: Leveraging All-Round Clues for Trustworthy Image Forgery Detection and Localization

(ends 12:00 PM)

4:30 p.m.

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

Posters 4:30-6:00

High-Fidelity Event-Radiance Recovery via Transient Event Frequency

RobustNeRF: Ignoring Distractors With Robust Losses

NeRDi: Single-View NeRF Synthesis With Language-Guided Diffusion As General Image Priors

GM-NeRF: Learning Generalizable Model-Based Neural Radiance Fields From Multi-View Images

MixNeRF: Modeling a Ray With Mixture Density for Novel View Synthesis From Sparse Inputs

SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting With Neural Radiance Fields

Masked Wavelet Representation for Compact Neural Radiance Fields

PaletteNeRF: Palette-Based Appearance Editing of Neural Radiance Fields

SteerNeRF: Accelerating NeRF Rendering via Smooth Viewpoint Trajectory

Transforming Radiance Field With Lipschitz Network for Photorealistic 3D Scene Stylization

Occlusion-Free Scene Recovery via Neural Radiance Fields

TriVol: Point Cloud Rendering via Triple Volumes

DyNCA: Real-Time Dynamic Texture Synthesis Using Neural Cellular Automata

Neural Scene Chronology

ReLight My NeRF: A Dataset for Novel View Synthesis and Relighting of Real World Objects

ORCa: Glossy Objects As Radiance-Field Cameras

Nighttime Smartphone Reflective Flare Removal Using Optical Center Symmetry Prior

SunStage: Portrait Reconstruction and Relighting Using the Sun as a Light Stage

The Differentiable Lens: Compound Lens Search Over Glass Surfaces and Materials for Object Detection

Teleidoscopic Imaging System for Microscale 3D Shape Reconstruction

Looking Through the Glass: Neural Surface Reconstruction Against High Specular Reflections

NeuralUDF: Learning Unsigned Distance Fields for Multi-View Reconstruction of Surfaces With Arbitrary Topologies

Sphere-Guided Training of Neural Implicit Surfaces

OReX: Object Reconstruction From Planar Cross-Sections Using Neural Fields

Persistent Nature: A Generative Model of Unbounded 3D Worlds

3D Neural Field Generation Using Triplane Diffusion

Diffusion-Based Signed Distance Fields for 3D Shape Generation

Efficient View Synthesis and 3D-Based Multi-Frame Denoising With Multiplane Feature Representations

Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Models

SINE: Semantic-Driven Image-Based NeRF Editing With Prior-Guided Editing Field

3D Highlighter: Localizing Regions on 3D Shapes via Text Descriptions

Self-Supervised Geometry-Aware Encoder for Style-Based 3D GAN Inversion

PanoHead: Geometry-Aware 3D Full-Head Synthesis in 360°

StyleGene: Crossover and Mutation of Region-Level Facial Genes for Kinship Face Synthesis

Parameter Efficient Local Implicit Image Function Network for Face Segmentation

Graphics Capsule: Learning Hierarchical 3D Face Representations From 2D Images

Next3D: Generative Neural Texture Rasterization for 3D-Aware Head Avatars

Learning Neural Parametric Head Models

Zero-Shot Text-to-Parameter Translation for Game Character Auto-Creation

Learning Locally Editable Virtual Humans

Auto-CARD: Efficient and Robust Codec Avatar Driving for Real-Time Mobile Telepresence

Ham2Pose: Animating Sign Language Notation Into Pose Sequences

PointAvatar: Deformable Point-Based Head Avatars From Videos

PAniC-3D: Stylized Single-View 3D Reconstruction From Portraits of Anime Characters

HandNeRF: Neural Radiance Fields for Animatable Interacting Hands

VGFlow: Visibility Guided Flow Network for Human Reposing

Clothed Human Performance Capture With a Double-Layer Neural Radiance Fields

POEM: Reconstructing Hand in a Point Embedded Multi-View Stereo

FlexNeRF: Photorealistic Free-Viewpoint Rendering of Moving Humans From Sparse Views

Flow Supervision for Deformable NeRF

Building Rearticulable Models for Arbitrary 3D Objects From 4D Point Clouds

Implicit 3D Human Mesh Recovery Using Consistency With Pose and Shape From Unseen-View

One-Stage 3D Whole-Body Mesh Recovery With Component Aware Transformer

Im2Hands: Learning Attentive Implicit Representation of Interacting Two-Hand Shapes

FLEX: Full-Body Grasping Without Full-Body Grasps

DexArt: Benchmarking Generalizable Dexterous Manipulation With Articulated Objects

CARTO: Category and Joint Agnostic Reconstruction of ARTiculated Objects

CIRCLE: Capture in Rich Contextual Environments

Decoupling Human and Camera Motion From Videos in the Wild

GarmentTracking: Category-Level Garment Pose Tracking

Hierarchical Temporal Transformer for 3D Hand Pose Estimation and Action Recognition From Egocentric RGB Videos

PSVT: End-to-End Multi-Person 3D Pose and Shape Estimation With Progressive Video Transformers

Delving Into Discrete Normalizing Flows on SO(3) Manifold for Probabilistic Rotation Modeling

3D-POP – An Automated Annotation Approach to Facilitate Markerless 2D-3D Tracking of Freely Moving Birds With Marker-Based Motion Capture

TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation

Markerless Camera-to-Robot Pose Estimation via Self-Supervised Sim-to-Real Transfer

SMOC-Net: Leveraging Camera Pose for Self-Supervised Monocular Object Pose Estimation

IMP: Iterative Matching and Pose Estimation With Adaptive Pooling

Self-Supervised Representation Learning for CAD

Few-Shot Geometry-Aware Keypoint Localization

SparsePose: Sparse-View Camera Pose Regression and Refinement

A Large-Scale Homography Benchmark

Learning Geometric-Aware Properties in 2D Representation Using Lightweight CAD Models, or Zero Real 3D Pairs

AutoRecon: Automated 3D Object Discovery and Reconstruction

Multi-Sensor Large-Scale Dataset for Multi-View 3D Reconstruction

NeurOCS: Neural NOCS Supervision for Monocular 3D Object Localization

Self-Supervised Super-Plane for Neural 3D Reconstruction

PlaneDepth: Self-Supervised Depth Estimation via Orthogonal Planes

Single View Scene Scale Estimation Using Scale Field

3D Line Mapping Revisited

Inverting the Imaging Process by Learning an Implicit Camera Model

SfM-TTR: Using Structure From Motion for Test-Time Refinement of Single-View Depth Networks

iDisc: Internal Discretization for Monocular Depth Estimation

DC2: Dual-Camera Defocus Control by Learning To Refocus

A Practical Stereo Depth System for Smart Glasses

GeoMVSNet: Learning Multi-View Stereo With Geometry Perception

DINN360: Deformable Invertible Neural Network for Latitude-Aware 360° Image Rescaling

OmniVidar: Omnidirectional Depth Estimation From Multi-Fisheye Images

Learning To Fuse Monocular and Multi-View Cues for Multi-Frame Depth Estimation in Dynamic Scenes

Modality-Invariant Visual Odometry for Embodied Vision

VL-SAT: Visual-Linguistic Semantics Assisted Training for 3D Semantic Scene Graph Prediction in Point Cloud

CAPE: Camera View Position Embedding for Multi-View 3D Object Detection

AeDet: Azimuth-Invariant Multi-View 3D Object Detection

Object Detection With Self-Supervised Scene Adaptation

Understanding the Robustness of 3D Object Detection With Bird’s-Eye-View Representations in Autonomous Driving

BEVHeight: A Robust Framework for Vision-Based Roadside 3D Object Detection

Uncertainty-Aware Vision-Based Metric Cross-View Geolocalization

OrienterNet: Visual Localization in 2D Public Maps With Neural Matching

MSMDFusion: Fusing LiDAR and Camera at Multiple Scales With Multi-Depth Seeds for 3D Object Detection

Virtual Sparse Convolution for Multimodal 3D Object Detection

Optimal Transport Minimization: Crowd Localization on Density Maps for Semi-Supervised Counting

VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking

GraVoS: Voxel Selection for 3D Point-Cloud Detection

MSeg3D: Multi-Modal 3D Semantic Segmentation for Autonomous Driving

LaserMix for Semi-Supervised LiDAR Semantic Segmentation

Implicit Surface Contrastive Clustering for LiDAR Point Clouds

Semi-Weakly Supervised Object Kinematic Motion Prediction

PartSLIP: Low-Shot Part Segmentation for 3D Point Clouds via Pretrained Image-Language Models

Learning Weather-General and Weather-Specific Features for Image Restoration Under Multiple Adverse Weather Conditions

Geometry and Uncertainty-Aware 3D Point Cloud Class-Incremental Semantic Segmentation

Learning 3D Representations From 2D Pre-Trained Models via Image-to-Point Masked Autoencoders

ToThePoint: Efficient Contrastive Learning of 3D Point Clouds via Recycling

PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection

PointConvFormer: Revenge of the Point-Based Convolution

Self-Positioning Point-Based Transformer for Point Cloud Understanding

PointClustering: Unsupervised Point Cloud Pre-Training Using Transformation Invariance in Clustering

Neural Intrinsic Embedding for Non-Rigid Point Cloud Matching

HGNet: Learning Hierarchical Geometry From Points, Edges, and Surfaces

LP-DIF: Learning Local Pattern-Specific Deep Implicit Function for 3D Objects and Scenes

Conjugate Product Graphs for Globally Optimal 2D-3D Shape Matching

UTM: A Unified Multiple Object Tracking Model With Identity-Aware Feature Enhancement

Learning Rotation-Equivariant Features for Visual Correspondence

Adaptive Spot-Guided Transformer for Consistent Local Feature Matching

PMatch: Paired Masked Image Modeling for Dense Geometric Matching

Iterative Geometry Encoding Volume for Stereo Matching

Adaptive Annealing for Robust Geometric Estimation

Tangentially Elongated Gaussian Belief Propagation for Event-Based Incremental Optical Flow Estimation

Robust and Scalable Gaussian Process Regression and Its Applications

BEV-Guided Multi-Modality Fusion for Driving Perception

HumanBench: Towards General Human-Centric Perception With Projector Assisted Pretraining

Think Twice Before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving

ProphNet: Efficient Agent-Centric Motion Forecasting With Anchor-Informed Proposals

StarCraftImage: A Dataset for Prototyping Spatial Reasoning Methods for Multi-Agent Environments

Stimulus Verification Is a Universal and Effective Sampler in Multi-Modal Human Trajectory Prediction

PyPose: A Library for Robot Learning With Physics-Based Optimization

Source-Free Adaptive Gaze Estimation by Uncertainty Reduction

Camouflaged Object Detection With Feature Decomposition and Edge Reconstruction

MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained Object Detectors

Clothing-Change Feature Augmentation for Person Re-Identification

Dynamic Aggregated Network for Gait Recognition

Feature Representation Learning With Adaptive Displacement Generation and Transformer Fusion for Micro-Expression Recognition

MetaPortrait: Identity-Preserving Talking Head Generation With Fast Personalized Adaptation

FLAG3D: A 3D Fitness Activity Dataset With Language Instruction

TranSG: Transformer-Based Skeleton Graph Prototype Contrastive Learning With Structure-Trajectory Prompted Reconstruction for Person Re-Identification

NeMo: Learning 3D Neural Motion Fields From Multiple Video Instances of the Same Action

Unsupervised Space-Time Network for Temporally-Consistent Segmentation of Multiple Motions

Deep Polarization Reconstruction With PDAVIS Events

Range-Nullspace Video Frame Interpolation With Focalized Motion Estimation

Exploring Motion Ambiguity and Alignment for High-Quality Video Frame Interpolation

1000 FPS HDR Video With a Spike-RGB Hybrid Camera

Deep Discriminative Spatial and Temporal Network for Efficient Video Deblurring

Gated Multi-Resolution Transfer Network for Burst Restoration and Enhancement

A Unified HDR Imaging Method With Pixel and Patch Level

BiasBed – Rigorous Texture Bias Evaluation

Learning a Practical SDR-to-HDRTV Up-Conversion Using New Dataset and Degradation Models

Learning a Deep Color Difference Metric for Photographic Images

Learning a Simple Low-Light Image Enhancer From Paired Low-Light Instances

Residual Degradation Learning Unfolding Framework With Mixing Priors Across Spectral and Spatial for Compressive Spectral Imaging

Toward Stable, Interpretable, and Lightweight Hyperspectral Super-Resolution

RIDCP: Revitalizing Real Image Dehazing via High-Quality Codebook Priors

Robust Unsupervised StyleGAN Image Restoration

Quality-Aware Pre-Trained Models for Blind Image Quality Assessment

Learning To Exploit the Sequence-Specific Prior Knowledge for Image Processing Pipelines Optimization

Multi-Realism Image Compression With a Conditional Generator

RGB No More: Minimally-Decoded JPEG Vision Transformers

Kernel Aware Resampler

Spatial-Frequency Mutual Learning for Face Super-Resolution

Activating More Pixels in Image Super-Resolution Transformer

Omni Aggregation Networks for Lightweight Image Super-Resolution

Towards Artistic Image Aesthetics Assessment: A Large-Scale Dataset and a New Method

RWSC-Fusion: Region-Wise Style-Controlled Fusion Network for the Prohibited X-Ray Security Image Synthesis

Efficient Scale-Invariant Generator With Column-Row Entangled Pixel Synthesis

Masked and Adaptive Transformer for Exemplar Based Image Translation

SmartBrush: Text and Shape Guided Object Inpainting With Diffusion Model

Neural Transformation Fields for Arbitrary-Styled Font Generation

Referring Image Matting

Handwritten Text Generation From Visual Archetypes

SceneComposer: Any-Level Semantic Image Synthesis

Affordance Diffusion: Synthesizing Hand-Object Interactions

LayoutDiffusion: Controllable Diffusion Model for Layout-to-Image Generation

DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

GLIGEN: Open-Set Grounded Text-to-Image Generation

Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models

EDICT: Exact Diffusion Inversion via Coupled Transformations

Solving 3D Inverse Problems Using Pre-Trained 2D Diffusion Models

Diffusion Probabilistic Model Made Slim

Align Your Latents: High-Resolution Video Synthesis With Latent Diffusion Models

Binary Latent Diffusion

Semi-Supervised Video Inpainting With Cycle Consistency Constraints

Towards Accurate Image Coding: Improved Autoregressive Image Generation With Dynamic Vector Quantization

Large-Capacity and Flexible Video Steganography via Invertible Neural Network

Neural Video Compression With Diverse Contexts

Efficient Semantic Segmentation by Altering Resolutions for Compressed Videos

Structured Sparsity Learning for Efficient Video Super-Resolution

DisCo-CLIP: A Distributed Contrastive Loss for Memory Efficient CLIP Training

Boost Vision Transformer With GPU-Friendly Sparsity and Quantization

All Are Worth Words: A ViT Backbone for Diffusion Models

Sparsifiner: Learning Sparse Instance-Dependent Attention for Efficient Vision Transformers

Vision Transformer With Super Token Sampling

DropKey for Vision Transformer

Seeing Beyond the Brain: Conditional Diffusion Model With Sparse Masked Modeling for Vision Decoding

ResFormer: Scaling ViTs With Multi-Resolution Training

Stare at What You See: Masked Image Modeling Without Reconstruction

Mixed Autoencoder for Self-Supervised Visual Representation Learning

Shape-Erased Feature Learning for Visible-Infrared Person Re-Identification

G-MSM: Unsupervised Multi-Shape Matching With Graph-Based Affinity Priors

Efficient Mask Correction for Click-Based Interactive Image Segmentation

Prototype-Based Embedding Network for Scene Graph Generation

Graph Representation for Order-Aware Visual Transformation

Unbiased Scene Graph Generation in Videos

Recurrence Without Recurrence: Stable Video Landmark Detection With Deep Equilibrium Models

VideoTrack: Learning To Track Objects via Video Transformer

Breaking the “Object” in Video Object Segmentation

Hierarchical Semantic Contrast for Scene-Aware Video Anomaly Detection

Mask-Free Video Instance Segmentation

Hierarchical Neural Memory Network for Low Latency Event Processing

Unifying Short and Long-Term Tracking With Graph Hierarchies

Towards End-to-End Generative Modeling of Long Videos With Memory-Efficient Bidirectional Transformers

An Empirical Study of End-to-End Video-Language Transformers With Masked Visual Modeling

Egocentric Audio-Visual Object Localization

AVFormer: Injecting Vision Into Frozen Speech Models for Zero-Shot AV-ASR

A Light Weight Model for Active Speaker Detection

Dense-Localizing Audio-Visual Events in Untrimmed Videos: A Large-Scale Benchmark and Baseline

Video Test-Time Adaptation for Action Recognition

Unified Keypoint-Based Action Recognition Framework via Structured Keypoint Pooling

Object Discovery From Motion-Guided Tokens

Open Set Action Recognition via Multi-Label Evidential Learning

PivoTAL: Prior-Driven Supervision for Weakly-Supervised Temporal Action Localization

Improving Weakly Supervised Temporal Action Localization by Bridging Train-Test Gap in Pseudo Labels

Are Binary Annotations Sufficient? Video Moment Retrieval via Hierarchical Uncertainty-Based Active Learning

Query-Dependent Video Representation for Moment Retrieval and Highlight Detection

Vita-CLIP: Video and Text Adaptive CLIP via Multimodal Prompting

Towards Generalisable Video Moment Retrieval: Visual-Dynamic Injection to Image-Text Pre-Training

Hierarchical Video-Moment Retrieval and Step-Captioning

HierVL: Learning Hierarchical Video-Language Embeddings

Learning Transferable Spatiotemporal Representations From Natural Script Knowledge

WINNER: Weakly-Supervised hIerarchical decompositioN and aligNment for Spatio-tEmporal Video gRounding

Collaborative Static and Dynamic Vision-Language Streams for Spatio-Temporal Video Grounding

Learning Action Changes by Measuring Verb-Adverb Textual Relationships

LAVENDER: Unifying Video-Language Understanding As Masked Language Modeling

DeCo: Decomposition and Reconstruction for Compositional Temporal Grounding via Coarse-To-Fine Contrastive Ranking

CVT-SLR: Contrastive Visual-Textual Transformation for Sign Language Recognition With Variational Alignment

Joint Visual Grounding and Tracking With Natural Language Specification

Accelerating Vision-Language Pretraining With Free Language Modeling

CoWs on Pasture: Baselines and Benchmarks for Language-Driven Zero-Shot Object Navigation

Where We Are and What We’re Looking At: Query Based Worldwide Image Geo-Localization Using Hierarchies and Scenes

ANetQA: A Large-Scale Benchmark for Fine-Grained Compositional Reasoning Over Untrimmed Videos

MetaCLUE: Towards Comprehensive Visual Metaphors Research

GeoVLN: Learning Geometry-Enhanced Visual Representation With Slot Attention for Vision-and-Language Navigation

Being Comes From Not-Being: Open-Vocabulary Text-to-Motion Generation With Wordless Training

LASP: Text-to-Text Optimization for Language-Aware Soft Prompting of Vision & Language Models

Position-Guided Text Prompt for Vision-Language Pre-Training

Intrinsic Physical Concepts Discovery With Object-Centric Predictive Models

MAP: Multimodal Uncertainty-Aware Vision-Language Pre-Training Model

CLAMP: Prompt-Based Contrastive Learning for Connecting Language and Animal Pose

Teacher-Generated Spatial-Attention Labels Boost Robustness and Accuracy of Contrastive Models

DegAE: A New Pretraining Paradigm for Low-Level Vision

RILS: Masked Visual Reconstruction in Language Semantic Space

Learning Geometry-Aware Representations by Sketching

SketchXAI: A First Look at Explainability for Human Sketches

MAGVLT: Masked Generative Vision-and-Language Transformer

Zero-Shot Everything Sketch-Based Image Retrieval, and in Explainable Style

Semantic-Conditional Diffusion Networks for Image Captioning

REVEAL: Retrieval-Augmented Visual-Language Pre-Training With Multi-Source Multimodal Knowledge Memory

Variational Distribution Learning for Unsupervised Text-to-Image Generation

Scaling Language-Image Pre-Training via Masking

LANIT: Language-Driven Image-to-Image Translation for Unlabeled Data

Revisiting Self-Similarity: Structural Embedding for Image Retrieval

Improving Cross-Modal Retrieval With Set of Diverse Embeddings

Masked Autoencoding Does Not Help Natural Language Supervision at Scale

Few-Shot Learning With Visual Distribution Calibration and Cross-Modal Distribution Alignment

Deep Hashing With Minimal-Distance-Separated Hash Centers

ConZIC: Controllable Zero-Shot Image Captioning by Sampling-Based Polishing

Learning To Name Classes for Vision and Language Models

Data-Efficient Large Scale Place Recognition With Graded Similarity Supervision

DetCLIPv2: Scalable Open-Vocabulary Object Detection Pre-Training via Word-Region Alignment

HOICLIP: Efficient Knowledge Transfer for HOI Detection With Vision-Language Models

OvarNet: Towards Open-Vocabulary Object Attribute Recognition

NeRF-RPN: A General Framework for Object Detection in NeRFs

Mask-Free OVIS: Open-Vocabulary Instance Segmentation Without Manual Mask Annotations

GP-VTON: Towards General Purpose Virtual Try-On via Collaborative Local-Flow Global-Parsing Learning

Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning

Contrastive Grouping With Transformer for Referring Image Segmentation

Semantic Prompt for Few-Shot Image Recognition

GRES: Generalized Referring Expression Segmentation

Network-Free, Unsupervised Semantic Segmentation With Synthetic Images

Few-Shot Semantic Image Synthesis With Class Affinity Transfer

Ultra-High Resolution Segmentation With Ultra-Rich Context: A Novel Benchmark

Content-Aware Token Sharing for Efficient Semantic Segmentation With Vision Transformers

Hierarchical Dense Correlation Distillation for Few-Shot Segmentation

On Calibrating Semantic Segmentation Models: Analyses and an Algorithm

FastInst: A Simple Query-Based Model for Real-Time Instance Segmentation

Out-of-Candidate Rectification for Weakly Supervised Semantic Segmentation

Foundation Model Drives Weakly Incremental Learning for Semantic Segmentation

Long-Tailed Visual Recognition via Self-Heterogeneous Integration With Knowledge Excavation

Instance-Specific and Model-Adaptive Supervision for Semi-Supervised Semantic Segmentation

Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm

IDGI: A Framework To Eliminate Explanation Noise From Integrated Gradients

Weakly Supervised Posture Mining for Fine-Grained Classification

Vision Transformers Are Good Mask Auto-Labelers

Enhanced Training of Query-Based Object Detection via Selective Query Recollection

Box-Level Active Detection

CIGAR: Cross-Modality Graph Reasoning for Domain Adaptive Object Detection

DA-DETR: Domain Adaptive Detection Transformer With Information Fusion

Continual Detection Transformer for Incremental Object Detection

Semi-DETR: Semi-Supervised Object Detection With Detection Transformers

Hierarchical Supervision and Shuffle Data Augmentation for 3D Semi-Supervised Object Detection

Harmonious Teacher for Cross-Domain Object Detection

Contrastive Mean Teacher for Domain Adaptive Object Detectors

Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning

(ML)

$^2$ P-Encoder: On Exploration of Channel-Class Correlation for Multi-Label Zero-Shot Learning

MagicNet: Semi-Supervised Multi-Organ Segmentation via Magic-Cube Partition and Recovery

Devil Is in the Queries: Advancing Mask Transformers for Real-World Medical Image Segmentation and Out-of-Distribution Localization

SQUID: Deep Feature In-Painting for Unsupervised Anomaly Detection

OCELOT: Overlapped Cell on Tissue Dataset for Histopathology

DeGPR: Deep Guided Posterior Regularization for Multi-Class Cell Detection and Counting

Best of Both Worlds: Multimodal Contrastive Learning With Tabular and Imaging Data

RankMix: Data Augmentation for Weakly Supervised Learning of Classifying Whole Slide Images With Diverse Sizes and Imbalanced Categories

GEN: Pushing the Limits of Softmax-Based Out-of-Distribution Detection

Discriminating Known From Unknown Objects via Structure-Enhanced Recurrent Variational AutoEncoder

Sample-Level Multi-View Graph Clustering

On the Effects of Self-Supervision and Contrastive Alignment in Deep Multi-View Clustering

Deep Fair Clustering via Maximizing and Minimizing Mutual Information: Theory, Algorithm and Metric

Transductive Few-Shot Learning With Prototype-Based Label Propagation by Iterative Graph Refinement

Open-Set Likelihood Maximization for Few-Shot Learning

HyperMatch: Noise-Tolerant Semi-Supervised Learning via Relaxed Contrastive Constraint

Token Boosting for Robust Self-Supervised Visual Transformer Pre-Training

Difficulty-Based Sampling for Debiased Contrastive Representation Learning

Improving Selective Visual Question Answering by Learning From Your Peers

Superclass Learning With Representation Enhancement

DISC: Learning From Noisy Labels via Dynamic Instance-Specific Selection and Correction

FCC: Feature Clusters Compression for Long-Tailed Visual Recognition

Dynamically Instance-Guided Adaptation: A Backward-Free Approach for Test-Time Domain Adaptive Semantic Segmentation

Semi-Supervised Domain Adaptation With Source Label Adaptation

Adjustment and Alignment for Unbiased Open Set Domain Adaptation

C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain Adaptation

ALOFT: A Lightweight MLP-Like Architecture With Dynamic Low-Frequency Transform for Domain Generalization

Modality-Agnostic Debiasing for Single Domain Generalization

ActMAD: Activation Matching To Align Distributions for Test-Time-Training

TIPI: Test Time Adaptation With Transformation Invariance

Improved Test-Time Adaptation for Domain Generalization

Learning With Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning

NIFF: Alleviating Forgetting in Generalized Few-Shot Object Detection via Neural Instance Feature Forging

MixPHM: Redundancy-Aware Parameter-Efficient Tuning for Low-Resource Visual Question Answering

PIVOT: Prompting for Video Continual Learning

BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning

DKT: Diverse Knowledge Transfer Transformer for Class Incremental Learning

PCR: Proxy-Based Contrastive Replay for Online Class-Incremental Continual Learning

Masked Autoencoders Enable Efficient Knowledge Distillers

Data-Free Knowledge Distillation via Feature Exchange and Activation Region Constraint

Multi-Level Logit Distillation

Preserving Linear Separability in Continual Learning by Backward Feature Projection

Critical Learning Periods for Multisensory Integration in Deep Networks

SLACK: Stable Learning of Augmentations With Cold-Start and KL Regularization

Improving Generalization With Domain Convex Game

Exploring Data Geometry for Continual Learning

FlowGrad: Controlling the Output of Generative ODEs With Gradients

Deep Graph Reprogramming

X-Pruner: eXplainable Pruning for Vision Transformers

Bias in Pruned Vision Models: In-Depth Analysis and Countermeasures

Compacting Binary Neural Networks by Sparse Kernel Selection

Deep Deterministic Uncertainty: A New Simple Baseline

Understanding Deep Generative Models With Generalized Empirical Likelihoods

Fair Scratch Tickets: Finding Fair Sparse Networks Without Weight Training

Hard Sample Matters a Lot in Zero-Shot Quantization

PD-Quant: Post-Training Quantization Based on Prediction Difference Metric

Vector Quantization With Self-Attention for Quality-Independent Representation Learning

Masked Auto-Encoders Meet Generative Adversarial Networks and Beyond

Sequential Training of GANs Against GAN-Classifiers Reveals Correlated “Knowledge Gaps” Present Among Independently Trained GAN Instances

Edges to Shapes to Concepts: Adversarial Augmentation for Robust Vision

Towards Universal Fake Image Detectors That Generalize Across Generative Models

Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomaly Detection

Generating Anomalies for Video Anomaly Detection With Prompt-Based Feature Mapping

Revisiting Reverse Distillation for Anomaly Detection

MetaMix: Towards Corruption-Robust Continual Learning With Temporally Self-Adaptive Data Transformation

ScaleFL: Resource-Adaptive Federated Learning With Heterogeneous Clients

Confidence-Aware Personalized Federated Learning via Variational Expectation Maximization

Make Landscape Flatter in Differentially Private Federated Learning

Rethinking Domain Generalization for Face Anti-Spoofing: Separability and Alignment

StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning

The Dark Side of Dynamic Routing Neural Networks: Towards Efficiency Backdoor Injection

Architectural Backdoors in Neural Networks

You Are Catching My Attention: Are Vision Transformers Bad Learners Under Backdoor Attacks?

A Practical Upper Bound for the Worst-Case Attribution Deviations

Sibling-Attack: Rethinking Transferable Adversarial Attacks Against Face Recognition

Angelic Patches for Improving Third-Party Object Detector Performance

Introducing Competition To Boost the Transferability of Targeted Adversarial Examples Through Clean Feature Mixup

Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations

Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation

The Enemy of My Enemy Is My Friend: Exploring Inverse Adversaries for Improving Adversarial Training

Robust Single Image Reflection Removal Against Adversarial Attacks

Physical-World Optical Adversarial Attacks on 3D Face Recognition

AUNet: Learning Relations Between Action Units for Face Forgery Detection

(ends 6:00 PM)