Yu-Xiong Wang

HandX: Scaling Bimanual Motion and Interaction Generation CVPR 2026 InterPrior: Scaling Generative Control for Physics-Based Human-Object Interactions CVPR 2026 LocateAnything3D: Vision-Language 3D Detection with Chain-of-Sight CVPR 2026 3DGS-Drag: Dragging Gaussians for Intuitive Point-Based 3D Editing ICLR 2025 Aligning Generative Denoising with Discriminative Objectives Unleashes Diffusion for Visual Perception ICLR 2025 Argus: Vision-Centric Reasoning with Grounded Chain-of-Thought CVPR 2025 Dexplore: Scalable Neural Control for Dexterous Manipulation from Reference Scoped Exploration CoRL 2025 Diff-2-in-1: Bridging Generation and Dense Perception with Diffusion Models ICLR 2025 Floating No More: Object-Ground Reconstruction from a Single Image CVPR 2025 GLUS: Global-Local Reasoning Unified into A Single Large Language Model for Video Segmentation CVPR 2025 InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation CVPR 2025 InterMimic: Towards Universal Whole-Body Control for Physics-Based Human-Object Interactions CVPR 2025 Proposer-Agent-Evaluator (PAE): Autonomous Skill Discovery For Foundation Model Internet Agents ICML 2025 RandAR: Decoder-only Autoregressive Visual Generation in Random Orders CVPR 2025 ReferEverything: Towards Segmenting Everything We Can Speak of in Videos ICCV 2025 Refer to Any Segmentation Mask Group With Vision-Language Prompts ICCV 2025 RTDiff: Reverse Trajectory Synthesis via Diffusion for Offline Reinforcement Learning ICLR 2025 Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning ICLR 2025 Visual Program Distillation with Template-Based Augmentation EMNLP 2025 AlignDiff: Aligning Diffusion Models for General Few-Shot Segmentation ECCV 2024 Aligning Large Multimodal Models with Factually Augmented RLHF ACL 2024 ATraDiff: Accelerating Online Reinforcement Learning with Imaginary Trajectories ICML 2024 ConsistDreamer: 3D-Consistent 2D Diffusion for High-Fidelity Scene Editing CVPR 2024 Frozen Transformers in Language Models Are Effective Visual Encoder Layers ICLR 2024 Instruct 4D-to-4D: Editing 4D Scenes as Pseudo-3D Scenes Using 2D Diffusion CVPR 2024 InstructG2I: Synthesizing Images from Multimodal Attributed Graphs NeurIPS 2024 InterDreamer: Zero-Shot Text to 3D Dynamic Human-Object Interaction NeurIPS 2024 Language Agent Tree Search Unifies Reasoning, Acting, and Planning in Language Models ICML 2024 Lexicon3D: Probing Visual Foundation Models for Complex 3D Scene Understanding NeurIPS 2024 Offline Imitation from Observation via Primal Wasserstein State Occupancy Matching ICML 2024 ProEdit: Simple Progression is All You Need for High-Quality 3D Scene Editing NeurIPS 2024 Region-Based Representations Revisited CVPR 2024 Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformers NeurIPS 2024 RMem: Restricted Memory Banks Improve Video Object Segmentation CVPR 2024 Robust Model-Based Optimization for Challenging Fitness Landscapes ICLR 2024 SceneCraft: Layout-Guided 3D Scene Generation NeurIPS 2024 Situational Awareness Matters in 3D Vision Language Reasoning CVPR 2024 SOHES: Self-supervised Open-world Hierarchical Entity Segmentation ICLR 2024 TAMM: TriAdapter Multi-Modal Learning for 3D Shape Understanding CVPR 2024 A Simple Solution for Offline Imitation from Observations and Examples with Possibly Incomplete Trajectories NeurIPS 2023 BEV-Guided Multi-Modality Fusion for Driving Perception CVPR 2023 Beyond RGB: Scene-Property Synthesis With Neural Radiance Fields WACV 2023 Contrastive Learning Relies More on Spatial Inductive Bias Than Supervised Learning: An Empirical Study ICCV 2023 Contrastive Mean Teacher for Domain Adaptive Object Detectors CVPR 2023 Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models NeurIPS 2023 Do Pre-Trained Models Benefit Equally in Continual Learning? WACV 2023 HASSOD: Hierarchical Adaptive Self-Supervised Object Detection NeurIPS 2023 Improving Equivariance in State-of-the-Art Supervised Depth and Normal Predictors ICCV 2023 InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion ICCV 2023 Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation ICML 2023 Multi-task View Synthesis with Neural Radiance Fields ICCV 2023 MV-Map: Offboard HD-Map Generation with Multi-view Consistency ICCV 2023 NeuralEditor: Editing Neural Radiance Fields via Manipulating Point Clouds CVPR 2023 Object Discovery From Motion-Guided Tokens CVPR 2023 Standing Between Past and Future: Spatio-Temporal Modeling for Multi-Camera 3D Multi-Object Tracking CVPR 2023 Stochastic Multi-Person 3D Motion Forecasting ICLR 2023 ViCA-NeRF: View-Consistency-Aware 3D Editing of Neural Radiance Fields NeurIPS 2023 Video State-Changing Object Segmentation ICCV 2023 YouTubePD: A Multimodal Benchmark for Parkinson’s Disease Analysis NeurIPS 2023 CEIP: Combining Explicit and Implicit Priors for Reinforcement Learning with Demonstrations NeurIPS 2022 Continual Learning with Evolving Class Ontologies NeurIPS 2022 Discovering Objects That Can Move CVPR 2022 DIVeR: Real-Time and Accurate Neural Radiance Fields With Deterministic Integration for Volume Rendering CVPR 2022 Diverse Human Motion Prediction Guided by Multi-level Spatial-Temporal Anchors ECCV 2022 Embracing Single Stride 3D Object Detector With Sparse Transformer CVPR 2022 Generative Modeling for Multi-task Visual Learning ICML 2022 Long-Tailed Recognition via Weight Balancing CVPR 2022 On the Importance of Firth Bias Reduction in Few-Shot Classification ICLR 2022 PointTree: Transformation-Robust Point Cloud Encoder with Relaxed K-D Trees ECCV 2022 Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View Synthesis ICLR 2021 DAP: Detection-Aware Pre-Training With Weak Supervision CVPR 2021 Hallucination Improves Few-Shot Object Detection CVPR 2021 Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection ICML 2021 Learning To Hallucinate Examples From Extrinsic and Intrinsic Supervision ICCV 2021 On the Importance of Distractors for Few-Shot Classification ICCV 2021 Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation ICCV 2021 Towards Streaming Perception ECCV 2020 Image Deformation Meta-Networks for One-Shot Learning CVPR 2019 Learning Compositional Representations for Few-Shot Recognition ICCV 2019 Meta-Learning to Detect Rare Objects ICCV 2019 Adversarial Geometry-Aware Human Motion Prediction ECCV 2018 Few-Shot Human Motion Prediction via Meta-Learning ECCV 2018 Low-Shot Learning From Imaginary Data CVPR 2018 Growing a Brain: Fine-Tuning by Increasing Model Capacity CVPR 2017 Learning to Model the Tail NeurIPS 2017 Learning from Small Sample Sets by Combining Unsupervised Meta-Training with CNNs NeurIPS 2016 Model Recommendation: Generating Object Detectors From Few Samples CVPR 2015