Xinchao Wang

Align Images Before You Generate CVPR 2026 Beyond Soft Label: Dataset Distillation via Orthogonal Gradient Matching CVPR 2026 Exploiting Blurry Representations for Event-guided Video Super-Resolution AAAI 2026 FreLay: Frequency-aware Energy Function for Training-free Layout-to-Image Generation AAAI 2026 Gated Condition Injection without Multimodal Attention: Towards Controllable Linear-Attention Transformers CVPR 2026 Hypergraph-State Collaborative Reasoning for Multi-Object Tracking CVPR 2026 Language-guided Frequency Modulation for Large Vision-Language Models CVPR 2026 Merge3D: Efficient 3D Multimodal LLMs via Joint 2D-3D Token Merging CVPR 2026 Minute-Long Videos with Dual Parallelisms AAAI 2026 PE3R: Perception-Efficient 3D Reconstruction CVPR 2026 ReasonMap: Towards Fine-Grained Visual Reasoning from Transit Maps CVPR 2026 Rethinking Token Reduction for Large Vision-Language Models CVPR 2026 SpotEdit: Selective Region Editing in Diffusion Transformers CVPR 2026 Taming the Phantom: Token-Asymmetric Filtering for Hallucination Mitigation in Large Vision-Language Models AAAI 2026 Auto-Controlled Image Perception in MLLMs via Visual Perception Tokens ICCV 2025 C4D: 4D Made from 3D through Dual Correspondences ICCV 2025 Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient CVPR 2025 Control and Realism: Best of Both Worlds in Layout-to-Image without Training ICML 2025 CoSER: Towards Consistent Dense Multiview Text-to-Image Generator for 3D Creation CVPR 2025 CoT-Valve: Length-Compressible Chain-of-Thought Tuning ACL 2025 Diffusion Model is Effectively Its Own Teacher CVPR 2025 Efficient Gaussian Splatting for Monocular Dynamic Scene Rendering via Sparse Time-Variant Attribute Modeling AAAI 2025 ERF: A Benchmark Dataset for Robust Semantic Segmentation Under Extreme Rainfall Conditions AAAI 2025 Event-based Video Super-Resolution via State Space Models CVPR 2025 Few-shot Implicit Function Generation via Equivariance CVPR 2025 Generative Sparse-View Gaussian Splatting CVPR 2025 GFlow: Recovering 4D World from Monocular Video AAAI 2025 GraphBridge: Towards Arbitrary Transfer Learning in GNNs ICLR 2025 Hash3D: Training-free Acceleration for 3D Generation CVPR 2025 Heavy Labels Out! Dataset Distillation with Label Space Lightening ICCV 2025 HG-Adapter: Improving Pre-Trained Heterogeneous Graph Neural Networks with Dual Adapters ICLR 2025 IFAdapter: Instance Feature Control for Grounded Text-to-Image Generation ICCV 2025 Kolmogorov-Arnold Transformer ICLR 2025 MambaOut: Do We Really Need Mamba for Vision? CVPR 2025 Neural Phylogeny: Fine-Tuning Relationship Detection among Neural Networks ICLR 2025 OminiControl: Minimal and Universal Control for Diffusion Transformer ICCV 2025 Open-World Authorship Attribution ACL 2025 Point Cloud Dataset Distillation ICML 2025 PointLoRA: Low-Rank Adaptation with Token Selection for Point Cloud Learning CVPR 2025 Poison-splat: Computation Cost Attack on 3D Gaussian Splatting ICLR 2025 POSTA: A Go-to Framework for Customized Artistic Poster Generation CVPR 2025 RogSplat: Robust Gaussian Splatting via Generative Priors ICCV 2025 Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classifications AAAI 2025 TinyFusion: Diffusion Transformers Learned Shallow CVPR 2025 Towards Performance Consistency in Multi-Level Model Collaboration ICCV 2025 Ultra-Resolution Adaptation with Ease ICML 2025 UniversalBooth: Model-Agnostic Personalized Text-to-Image Generation ICCV 2025 Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images CVPR 2024 AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising NeurIPS 2024 Attention Prompting on Image for Large Vision-Language Models ECCV 2024 Beyond Sole Strength: Customized Ensembles for Generalized Vision-Language Models ICML 2024 DeepCache: Accelerating Diffusion Models for Free CVPR 2024 Distilled Datamodel with Reverse Gradient Matching CVPR 2024 Domain-Adaptive 2D Human Pose Estimation via Dual Teachers in Extremely Low-Light Conditions ECCV 2024 DreamDrone: Text-to-Image Diffusion Models are Zero-shot Perpetual View Generators ECCV 2024 Dual-Path Adversarial Lifting for Domain Shift Correction in Online Test-time Adaptation ECCV 2024 Encapsulating Knowledge in One Prompt ECCV 2024 FlashSplat: 2D to 3D Gaussian Splatting Segmentation Solved Optimally ECCV 2024 Implicit Curriculum in Procgen Made Explicit NeurIPS 2024 InceptionNeXt: When Inception Meets ConvNeXt CVPR 2024 Isomorphic Pruning for Vision Models ECCV 2024 Language Model as Visual Explainer NeurIPS 2024 Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching NeurIPS 2024 LiteFocus: Accelerated Diffusion Inference for Long Audio Synthesis Interspeech 2024 MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models NeurIPS 2024 MetaISP: Efficient RAW-to-sRGB Mappings with Merely 1M Parameters IJCAI 2024 MindBridge: A Cross-Subject Brain Decoding Framework CVPR 2024 MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities ICML 2024 Mutual-Modality Adversarial Attack with Semantic Perturbation AAAI 2024 MVGamba: Unify 3D Content Generation as State Space Sequence Modeling NeurIPS 2024 Neural Lineage CVPR 2024 Neural Metamorphosis ECCV 2024 One-shot Federated Learning via Synthetic Distiller-Distillate Communication NeurIPS 2024 Parameter-Efficient and Memory-Efficient Tuning for Vision Transformer: A Disentangled Approach ECCV 2024 Pseudo-Calibration: Improving Predictive Uncertainty Estimation in Unsupervised Domain Adaptation ICML 2024 Receptive Fields As Experts in Convolutional Neural Architectures ICML 2024 Relation Rectification in Diffusion Model CVPR 2024 Remix-DiT: Mixing Diffusion Transformers for Multi-Expert Denoising NeurIPS 2024 Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective NeurIPS 2024 Self-Supervised Heterogeneous Graph Learning: a Homophily and Heterogeneity View ICLR 2024 SlimSAM: 0.1% Data Makes Segment Anything Slim NeurIPS 2024 StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization ICML 2024 Teddy: Efficient Large-Scale Dataset Distillation via Taylor-Approximated Matching ECCV 2024 Ungeneralizable Examples CVPR 2024 Unsegment Anything by Simulating Deformation CVPR 2024 Vista3D: unravel the 3d darkside of a single image ECCV 2024 Auxiliary Tasks Benefit 3D Skeleton-based Human Motion Prediction ICCV 2023 Deep Graph Reprogramming CVPR 2023 DepGraph: Towards Any Structural Pruning CVPR 2023 Diffusion Model as Representation Learner ICCV 2023 Diffusion Probabilistic Model Made Slim CVPR 2023 Distribution Shift Inversion for Out-of-Distribution Prediction CVPR 2023 EqMotion: Equivariant Multi-Agent Motion Prediction With Invariant Interaction Reasoning CVPR 2023 Few-Shot Dataset Distillation via Translative Pre-Training ICCV 2023 Frequency-Enhanced Data Augmentation for Vision-and-Language Navigation NeurIPS 2023 Generator Born from Classifier NeurIPS 2023 GraphAdapter: Tuning Vision-Language Models With Dual Knowledge Graph NeurIPS 2023 LLM-Pruner: On the Structural Pruning of Large Language Models NeurIPS 2023 Master: Meta Style Transformer for Controllable Zero-Shot and Few-Shot Artistic Style Transfer CVPR 2023 MGDD: A Meta Generator for Fast Dataset Distillation NeurIPS 2023 Mixed Samples as Probes for Unsupervised Model Selection in Domain Adaptation NeurIPS 2023 Partial Network Cloning CVPR 2023 PARTNER: Level up the Polar Representation for LiDAR 3D Object Detection ICCV 2023 Priority-Centric Human Motion Generation in Discrete Latent Space ICCV 2023 Reachability-Aware Laplacian Representation in Reinforcement Learning ICML 2023 SG-Former: Self-guided Transformer with Evolving Token Reallocation ICCV 2023 Slimmable Dataset Condensation CVPR 2023 Structural Pruning for Diffusion Models NeurIPS 2023 Task Residual for Tuning Vision-Language Models CVPR 2023 TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integration ICCV 2023 Attention Diversification for Domain Generalization ECCV 2022 CAFE: Learning To Condense Dataset by Aligning Features CVPR 2022 Dataset Distillation via Factorization NeurIPS 2022 Deep Model Reassembly NeurIPS 2022 DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation ECCV 2022 Factorizing Knowledge in Neural Networks ECCV 2022 Geometric Structure Preserving Warp for Natural Image Stitching CVPR 2022 Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection ECCV 2022 How Well Does Self-Supervised Pre-Training Perform with Streaming Data? ICLR 2022 Inception Transformer NeurIPS 2022 Learning Domain Adaptive Object Detection with Probabilistic Teacher ICML 2022 Learning Graph Neural Networks for Image Style Transfer ECCV 2022 Learning with Recoverable Forgetting ECCV 2022 M3ED: Multi-modal Multi-scene Multi-label Emotional Dialogue Database ACL 2022 MetaFormer Is Actually What You Need for Vision CVPR 2022 Modeling Motion With Multi-Modal Features for Text-Based Video Segmentation CVPR 2022 Point2Seq: Detecting 3D Objects As Sequences CVPR 2022 PoseTriplet: Co-Evolving 3D Human Pose Estimation, Imitation, and Hallucination Under Self-Supervision CVPR 2022 Prompting to Distill: Boosting Data-Free Knowledge Distillation via Reinforced Prompt IJCAI 2022 Relationship Spatialization for Depth Estimation ECCV 2022 Safe Distillation Box AAAI 2022 Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning NeurIPS 2022 Shunted Self-Attention via Multi-Scale Token Aggregation CVPR 2022 Slimmable Domain Adaptation CVPR 2022 Training Spiking Neural Networks with Local Tandem Learning NeurIPS 2022 Up to 100x Faster Data-Free Knowledge Distillation AAAI 2022 Amalgamating Knowledge From Heterogeneous Graph Neural Networks CVPR 2021 Boundary Knowledge Translation based Reference Semantic Segmentation IJCAI 2021 Contrastive Model Invertion for Data-Free Knolwedge Distillation IJCAI 2021 Edge-competing Pathological Liver Vessel Segmentation with Limited Labels AAAI 2021 KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation IJCAI 2021 Learning Dynamics via Graph Neural Networks for Human Pose Estimation and Tracking CVPR 2021 Meta-Aggregator: Learning To Aggregate for 1-Bit Graph Neural Networks ICCV 2021 Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data NeurIPS 2021 Mutual-Complementing Framework for Nuclei Detection and Segmentation in Pathology Image ICCV 2021 Online Multiple Object Tracking With Cross-Task Synergy CVPR 2021 Overcoming Catastrophic Forgetting in Graph Neural Networks AAAI 2021 Progressive Network Grafting for Few-Shot Knowledge Distillation AAAI 2021 Scene Essence CVPR 2021 Self-Born Wiring for Neural Trees ICCV 2021 SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data AAAI 2021 Stochastic Partial Swap: Enhanced Model Generalization and Interpretability for Fine-Grained Recognition ICCV 2021 Training Generative Adversarial Networks in One Stage CVPR 2021 Tree-Like Decision Distillation CVPR 2021 Turning Frequency to Resolution: Video Super-Resolution via Event Cameras CVPR 2021 Visual Boundary Knowledge Translation for Foreground Segmentation AAAI 2021 Collaboration by Competition: Self-coordinated Knowledge Amalgamation for Multi-talent Student Learning ECCV 2020 Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN CVPR 2020 DEPARA: Deep Attribution Graph for Deep Knowledge Transferability CVPR 2020 Distilling Knowledge From Graph Convolutional Networks CVPR 2020 Dynamic Instance Normalization for Arbitrary Style Transfer AAAI 2020 Factorizable Graph Convolutional Networks NeurIPS 2020 Hallucinating Visual Instances in Total Absentia ECCV 2020 Hearing Lips: Improving Lip Reading by Distilling Speech Recognizers AAAI 2020 Learning Oracle Attention for High-Fidelity Face Completion CVPR 2020 Learning Propagation Rules for Attribution Map Generation ECCV 2020 One-sample Guided Object Representation Disassembling NeurIPS 2020 Amalgamating Filtered Knowledge: Learning Task-customized Student from Multi-task Teachers IJCAI 2019 Amalgamating Knowledge towards Comprehensive Classification AAAI 2019 Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation ICCV 2019 Deep Model Transferability from Attribution Maps NeurIPS 2019 Horizontal Pyramid Matching for Person Re-Identification AAAI 2019 Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning IJCAI 2019 Not All Parts Are Created Equal: 3D Pose Estimation by Modeling Bi-Directional Dependencies of Body Parts ICCV 2019 SPAGAN: Shortest Path Graph Attention Network IJCAI 2019 Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More CVPR 2019 World From Blur CVPR 2019 Dual Swap Disentangling NeurIPS 2018 FishEyeRecNet: A Multi-Context Collaborative Deep Network for Fisheye Image Rectification ECCV 2018 Geometry-Aware Scene Text Detection With Instance Transformation Network CVPR 2018 Non-Markovian Globally Consistent Multi-Object Tracking ICCV 2017 On Compressing Deep Models by Low Rank and Sparse Decomposition CVPR 2017 What Players Do With the Ball: A Physically Constrained Interaction Modeling CVPR 2016