Hanwang Zhang

Personalize Your Gaussian: Consistent 3D Scene Personalization from a Single Image AAAI 2026 Object Fusion via Diffusion Time-step for Customized Image Editing with Single Example AAAI 2026 Learning to Animate Images from A Few Videos to Portray Delicate Human Actions WACV 2026 DEPO: Dual-Efficiency Preference Optimization for LLM Agents AAAI 2026 Hierarchical Semantic Alignment for Image Clustering AAAI 2026 DragNeXt: Rethinking Drag-Based Image Editing AAAI 2026 NeuSpring: Neural Spring Fields for Reconstruction and Simulation of Deformable Objects from Videos AAAI 2026 Pushing Rendering Boundaries: Hard Gaussian Splatting AAAI 2026 AnyEdit: Mastering Unified High-Quality Image Editing for Any Idea CVPR 2025 Generative Multimodal Pretraining with Discrete Diffusion Timestep Tokens CVPR 2025 A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training CVPR 2025 CARE Transformer: Mobile-Friendly Linear Visual Transformer via Decoupled Dual Interaction CVPR 2025 3D Question Answering via only 2D Vision-Language Models ICML 2025 On Path to Multimodal Generalist: General-Level and General-Bench ICML 2025 Towards Semantic Equivalence of Tokenization in Multimodal LLM ICLR 2025 Distilling Parallel Gradients for Fast ODE Solvers of Diffusion Models ICCV 2025 Dynamic Multimodal Prototype Learning in Vision-Language Models ICCV 2025 Unsupervised Visual Chain-of-Thought Reasoning via Preference Optimization ICCV 2025 Nautilus: Locality-aware Autoencoder for Scalable Mesh Generation ICCV 2025 Corvid: Improving Multimodal Large Language Models Towards Chain-of-Thought Reasoning ICCV 2025 $\mathcalVista\mathcalDPO$: Video Hierarchical Spatial-Temporal Direct Preference Optimization for Large Video Models ICML 2025 Ca2-VDM: Efficient Autoregressive Video Diffusion Model with Causal Generation and Cache Sharing ICML 2025 SGDiff: Scene Graph Guided Diffusion Model for Image Collaborative SegCaptioning AAAI 2025 Learning 4D Panoptic Scene Graph Generation from Rich 2D Visual Scene CVPR 2025 Project-Probe-Aggregate: Efficient Fine-Tuning for Group Robustness CVPR 2025 Few-shot NeRF by Adaptive Rendering Loss Regularization ECCV 2024 Enhancing Zero-Shot Vision Models by Label-Free Prompt Distribution Learning and Bias Correcting NIPS 2024 MVGamba: Unify 3D Content Generation as State Space Sequence Modeling NIPS 2024 Action Imitation in Common Action Space for Customized Action Image Synthesis NIPS 2024 Unified Generative and Discriminative Training for Multi-modal Large Language Models NIPS 2024 Vitron: A Unified Pixel-level Vision LLM for Understanding, Generating, Segmenting, Editing NIPS 2024 Decoupled Kullback-Leibler Divergence Loss NIPS 2024 Robust Fine-tuning of Zero-shot Models via Variance Reduction NIPS 2024 Lever LM: Configuring In-Context Sequence to Lever Large Vision Language Models NIPS 2024 Towards Unified Multimodal Editing with Enhanced Knowledge Collaboration NIPS 2024 Dual-Perspective Knowledge Enrichment for Semi-supervised 3D Object Detection AAAI 2024 MGNet: Learning Correspondences via Multiple Graphs AAAI 2024 Doubly Abductive Counterfactual Inference for Text-based Image Editing CVPR 2024 Dysen-VDM: Empowering Dynamics-aware Text-to-Video Diffusion with LLMs CVPR 2024 Consistent3D: Towards Consistent High-Fidelity Text-to-3D Generation with Deterministic Sampling Prior CVPR 2024 DisCo: Disentangled Control for Realistic Human Dance Generation CVPR 2024 Discriminative Probing and Tuning for Text-to-Image Generation CVPR 2024 Few-shot Learner Parameterization by Diffusion Time-steps CVPR 2024 Distributionally Generative Augmentation for Fair Facial Attribute Classification CVPR 2024 Classes Are Not Equal: An Empirical Study on Image Recognition Fairness CVPR 2024 Diffusion Time-step Curriculum for One Image to 3D Generation CVPR 2024 View-Consistent 3D Editing with Gaussian Splatting ECCV 2024 Rethinking and Improving Visual Prompt Selection for In-Context Learning Segmentation Framework ECCV 2024 Instruction Tuning-free Visual Token Complement for Multimodal LLMs ECCV 2024 Exploring Diffusion Time-steps for Unsupervised Representation Learning ICLR 2024 Fine-tuning Multimodal LLMs to Follow Zero-shot Demonstrative Instructions ICLR 2024 Video-of-Thought: Step-by-Step Video Reasoning from Perception to Cognition ICML 2024 Non-confusing Generation of Customized Concepts in Diffusion Models ICML 2024 Auto-Encoding Morph-Tokens for Multimodal LLM ICML 2024 Hypothetical Training for Robust Machine Reading Comprehension of Tabular Context ACL 2023 Counterfactual Active Learning for Out-of-Distribution Generalization ACL 2023 Learning Trajectory-Word Alignments for Video-Language Tasks ICCV 2023 Invariant Feature Regularization for Fair Face Recognition ICCV 2023 Semantic Scene Completion With Cleaner Self CVPR 2023 Unbiased Multiple Instance Learning for Weakly Supervised Video Anomaly Detection CVPR 2023 Mitigating and Evaluating Static Bias of Action Representations in the Background and the Foreground ICCV 2023 Debiased Fine-Tuning for Vision-Language Models by Prompt Regularization AAAI 2023 Invariant Training 2D-3D Joint Hard Samples for Few-Shot Point Cloud Recognition ICCV 2023 Equivariant Similarity for Vision-Language Foundation Models ICCV 2023 Tuning Multi-mode Token-level Prompt Alignment across Modalities NIPS 2023 Make the U in UDA Matter: Invariant Consistency Learning for Unsupervised Domain Adaptation NIPS 2023 Prompt-aligned Gradient for Prompt Tuning ICCV 2023 Compositional Prompt Tuning with Motion Cues for Open-vocabulary Video Relation Detection ICLR 2023 Imagine That! Abstract-to-Intricate Text-to-Image Synthesis with Scene Graph Hallucination Diffusion NIPS 2023 Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models NIPS 2023 Bootstrap Your Own Prior: Towards Distribution-Agnostic Novel Class Discovery CVPR 2023 Random Boxes Are Open-world Object Detectors ICCV 2023 Identifying Hard Noise in Long-Tailed Sample Distribution ECCV 2022 Respecting Transfer Gap in Knowledge Distillation NIPS 2022 Certified Robustness Against Natural Language Attacks by Causal Intervention ICML 2022 On Non-Random Missing Labels in Semi-Supervised Learning ICLR 2022 Class Re-Activation Maps for Weakly-Supervised Semantic Segmentation CVPR 2022 Deconfounded Visual Grounding AAAI 2022 KQA Pro: A Dataset with Explicit Compositional Programs for Complex Question Answering over Knowledge Base ACL 2022 Learning to Imagine: Integrating Counterfactual Thinking in Neural Discrete Reasoning ACL 2022 Cross-Domain Empirical Risk Minimization for Unbiased Long-Tailed Classification AAAI 2022 Equivariance and Invariance Inductive Bias for Learning from Insufficient Data ECCV 2022 Invariant Feature Learning for Generalized Long-Tailed Classification ECCV 2022 Class Is Invariant to Context and Vice Versa: On Learning Invariance for Out-of-Distribution Generalization ECCV 2022 Self-Regulation for Semantic Segmentation ICCV 2021 Distilling Causal Effect of Data in Class-Incremental Learning CVPR 2021 Counterfactual VQA: A Cause-Effect Look at Language Bias CVPR 2021 The Blessings of Unlabeled Background in Untrimmed Videos CVPR 2021 Causal Attention for Vision-Language Tasks CVPR 2021 Are Missing Links Predictable? An Inferential Benchmark for Knowledge Graph Completion IJCNLP 2021 Empowering Language Understanding with Counterfactual Reasoning IJCNLP 2021 Empowering Language Understanding with Counterfactual Reasoning ACL 2021 Are Missing Links Predictable? An Inferential Benchmark for Knowledge Graph Completion ACL 2021 Self-Supervised Learning Disentangled Group Representation as Feature NIPS 2021 TransferNet: An Effective and Transparent Framework for Multi-hop Question Answering over Relation Graph EMNLP 2021 Transporting Causal Mechanisms for Unsupervised Domain Adaptation ICCV 2021 Counterfactual Zero-Shot and Open-Set Visual Recognition CVPR 2021 Causal Attention for Unbiased Visual Recognition ICCV 2021 Auto-Parsing Network for Image Captioning and Visual Question Answering ICCV 2021 Ref-NMS: Breaking Proposal Bottlenecks in Two-Stage Referring Expression Grounding AAAI 2021 Introspective Distillation for Robust Question Answering NIPS 2021 How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness? NIPS 2021 Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect NIPS 2020 Interventional Few-Shot Learning NIPS 2020 Counterfactual Samples Synthesizing for Robust Visual Question Answering CVPR 2020 Learning Filter Pruning Criteria for Deep Convolutional Neural Networks Acceleration CVPR 2020 Feature Pyramid Transformer ECCV 2020 More Grounded Image Captioning by Distilling Image-Text Matching Model CVPR 2020 Stochastic Dynamics for Video Infilling WACV 2020 Learning to Segment the Tail CVPR 2020 General Partial Label Learning via Dual Bipartite Graph Autoencoder AAAI 2020 Unbiased Scene Graph Generation From Biased Training CVPR 2020 Causal Intervention for Weakly-Supervised Semantic Segmentation NIPS 2020 Two Causal Principles for Improving Visual Dialog CVPR 2020 Iterative Context-Aware Graph Inference for Visual Dialog CVPR 2020 Visual Commonsense R-CNN CVPR 2020 Learning to Collocate Neural Modules for Image Captioning ICCV 2019 DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document Summarization AAAI 2019 Learning to Embed Sentences Using Attentive Recursive Trees AAAI 2019 Learning to Compose Dynamic Tree Structures for Visual Contexts CVPR 2019 Recursive Visual Attention in Visual Dialog CVPR 2019 Explainable and Explicit Visual Reasoning Over Scene Graphs CVPR 2019 Auto-Encoding Scene Graphs for Image Captioning CVPR 2019 Learning to Assemble Neural Module Tree Networks for Visual Grounding ICCV 2019 Counterfactual Critic Multi-Agent Training for Scene Graph Generation ICCV 2019 Making History Matter: History-Advantage Sequence Training for Visual Dialog ICCV 2019 Grounding Referring Expressions in Images by Variational Context CVPR 2018 Low-shot Learning via Covariance-Preserving Adversarial Augmentation Networks NIPS 2018 Multi-Level Policy and Reward Reinforcement Learning for Image Captioning IJCAI 2018 Discrete Factorization Machines for Fast Feature-based Recommendation IJCAI 2018 Zero-Shot Visual Recognition Using Semantics-Preserving Adversarial Embedding Networks CVPR 2018 Shuffle-Then-Assemble: Learning Object-Agnostic Visual Relationship Features ECCV 2018 SCA-CNN: Spatial and Channel-Wise Attention in Convolutional Networks for Image Captioning CVPR 2017 PPR-FCN: Weakly Supervised Visual Relation Detection via Parallel Pairwise R-FCN ICCV 2017 Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks IJCAI 2017 Visual Translation Embedding Network for Visual Relation Detection CVPR 2017 Online Collaborative Learning for Open-Vocabulary Visual Classifiers CVPR 2016 Learning Image and User Features for Recommendation in Social Networks ICCV 2015