Wang, Yu-Xiong

98 publications

ICLR 2025 3DGS-Drag: Dragging Gaussians for Intuitive Point-Based 3D Editing Jiahua Dong, Yu-Xiong Wang

NeurIPS 2025 AgMMU: A Comprehensive Agricultural Multimodal Understanding Benchmark Aruna Gauba, Irene Pi, Yunze Man, Ziqi Pang, Vikram S. Adve, Yu-Xiong Wang

ICLR 2025 Aligning Generative Denoising with Discriminative Objectives Unleashes Diffusion for Visual Perception Ziqi Pang, Xin Xu, Yu-Xiong Wang

CVPR 2025 Argus: Vision-Centric Reasoning with Grounded Chain-of-Thought Yunze Man, De-An Huang, Guilin Liu, Shiwei Sheng, Shilong Liu, Liang-Yan Gui, Jan Kautz, Yu-Xiong Wang, Zhiding Yu

CoRL 2025 Dexplore: Scalable Neural Control for Dexterous Manipulation from Reference Scoped Exploration Sirui Xu, Yu-Wei Chao, Liuyu Bian, Arsalan Mousavian, Yu-Xiong Wang, Liangyan Gui, Wei Yang

ICLR 2025 Diff-2-in-1: Bridging Generation and Dense Perception with Diffusion Models Shuhong Zheng, Zhipeng Bao, Ruoyu Zhao, Martial Hebert, Yu-Xiong Wang

CVPR 2025 Floating No More: Object-Ground Reconstruction from a Single Image Yunze Man, Yichen Sheng, Jianming Zhang, Liang-Yan Gui, Yu-Xiong Wang

CVPR 2025 GLUS: Global-Local Reasoning Unified into a Single Large Language Model for Video Segmentation Lang Lin, Xueyang Yu, Ziqi Pang, Yu-Xiong Wang

CVPR 2025 InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Sirui Xu, Dongting Li, Yucheng Zhang, Xiyan Xu, Qi Long, Ziyin Wang, Yunzhi Lu, Shuchang Dong, Hezi Jiang, Akshat Gupta, Yu-Xiong Wang, Liang-Yan Gui

CVPR 2025 InterMimic: Towards Universal Whole-Body Control for Physics-Based Human-Object Interactions Sirui Xu, Hung Yu Ling, Yu-Xiong Wang, Liang-Yan Gui

NeurIPS 2025 MR. Video: MapReduce as an Effective Principle for Long Video Understanding Ziqi Pang, Yu-Xiong Wang

TMLR 2025 MoReact: Generating Reactive Motion from Textual Descriptions Xiyan Xu, Sirui Xu, Yu-Xiong Wang, Liangyan Gui

NeurIPS 2025 One Token per Highly Selective Frame: Towards Extreme Compression for Long Video Understanding Zheyu Aqa Zhang, Ziqi Pang, Shixing Chen, Xiang Hao, Vimal Bhat, Yu-Xiong Wang

ICML 2025 Proposer-Agent-Evaluator (PAE): Autonomous Skill Discovery for Foundation Model Internet Agents Yifei Zhou, Qianlan Yang, Kaixiang Lin, Min Bai, Xiong Zhou, Yu-Xiong Wang, Sergey Levine, Li Erran Li

ICLR 2025 RTDiff: Reverse Trajectory Synthesis via Diffusion for Offline Reinforcement Learning Qianlan Yang, Yu-Xiong Wang

CVPR 2025 RandAR: Decoder-Only Autoregressive Visual Generation in Random Orders Ziqi Pang, Tianyuan Zhang, Fujun Luan, Yunze Man, Hao Tan, Kai Zhang, William T. Freeman, Yu-Xiong Wang

ICCV 2025 Refer to Any Segmentation Mask Group with Vision-Language Prompts Shengcao Cao, Zijun Wei, Jason Kuen, Kangning Liu, Lingzhi Zhang, Jiuxiang Gu, HyunJoon Jung, Liang-Yan Gui, Yu-Xiong Wang

ICCV 2025 ReferEverything: Towards Segmenting Everything We Can Speak of in Videos Anurag Bagchi, Zhipeng Bao, Yu-Xiong Wang, Pavel Tokmakov, Martial Hebert

TMLR 2025 SCas4D: Structural Cascaded Optimization for Boosting Persistent 4D Novel View Synthesis Jipeng Lyu, Jiahua Dong, Yu-Xiong Wang

NeurIPS 2025 Self-Guided Hierarchical Exploration for Generalist Foundation Model Web Agents Qianlan Yang, Xiangjun Wang, Danielle Perszyk, Yu-Xiong Wang

ICLR 2025 Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning Yuxiang Lu, Shengcao Cao, Yu-Xiong Wang

NeurIPS 2025 Virtual Fitting Room: Generating Arbitrarily Long Videos of Virtual Try-on from a Single Image Jun-Kun Chen, Aayush Bansal, Minh Phuoc Vo, Yu-Xiong Wang

ICML 2024 ATraDiff: Accelerating Online Reinforcement Learning with Imaginary Trajectories Qianlan Yang, Yu-Xiong Wang

ECCV 2024 AlignDiff: Aligning Diffusion Models for General Few-Shot Segmentation Ri-Zhao Qiu, Yu-Xiong Wang, Kris Hauser

CVPR 2024 ConsistDreamer: 3D-Consistent 2D Diffusion for High-Fidelity Scene Editing Jun-Kun Chen, Samuel Rota Bulò, Norman Müller, Lorenzo Porzi, Peter Kontschieder, Yu-Xiong Wang

ICLR 2024 Frozen Transformers in Language Models Are Effective Visual Encoder Layers Ziqi Pang, Ziyang Xie, Yunze Man, Yu-Xiong Wang

NeurIPSW 2024 Generalized Open-World Semi-Supervised Object Detection Garvita Allabadi, Ana Lucic, Siddarth Aananth, Tiffany Yang, Yu-Xiong Wang, Vikram S. Adve

CVPR 2024 Instruct 4D-to-4D: Editing 4D Scenes as Pseudo-3D Scenes Using 2D Diffusion Linzhan Mou, Jun-Kun Chen, Yu-Xiong Wang

NeurIPS 2024 InstructG2I: Synthesizing Images from Multimodal Attributed Graphs Bowen Jin, Ziqi Pang, Bingjun Guo, Yu-Xiong Wang, Jiaxuan You, Jiawei Han

NeurIPS 2024 InterDreamer: Zero-Shot Text to 3D Dynamic Human-Object Interaction Sirui Xu, Ziyin Wang, Yu-Xiong Wang, Liang-Yan Gui

ICLRW 2024 Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models Andy Zhou, Kai Yan, Michal Shlapentokh-Rothman, Haohan Wang, Yu-Xiong Wang

ICML 2024 Language Agent Tree Search Unifies Reasoning, Acting, and Planning in Language Models Andy Zhou, Kai Yan, Michal Shlapentokh-Rothman, Haohan Wang, Yu-Xiong Wang

NeurIPS 2024 Lexicon3D: Probing Visual Foundation Models for Complex 3D Scene Understanding Yunze Man, Shuhong Zheng, Zhipeng Bao, Martial Hebert, Liang-Yan Gui, Yu-Xiong Wang

ICML 2024 Offline Imitation from Observation via Primal Wasserstein State Occupancy Matching Kai Yan, Alex Schwing, Yu-Xiong Wang

NeurIPS 2024 ProEdit: Simple Progression Is All You Need for High-Quality 3D Scene Editing Jun-Kun Chen, Yu-Xiong Wang

CVPR 2024 RMem: Restricted Memory Banks Improve Video Object Segmentation Junbao Zhou, Ziqi Pang, Yu-Xiong Wang

CVPR 2024 Region-Based Representations Revisited Michal Shlapentokh-Rothman, Ansel Blume, Yao Xiao, Yuqun Wu, Sethuraman Tv, Heyi Tao, Jae Yong Lee, Wilfredo Torres, Yu-Xiong Wang, Derek Hoiem

NeurIPS 2024 Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformers Kai Yan, Alexander G. Schwing, Yu-Xiong Wang

ICLR 2024 Robust Model-Based Optimization for Challenging Fitness Landscapes Saba Ghaffari, Ehsan Saleh, Alex Schwing, Yu-Xiong Wang, Martin D. Burke, Saurabh Sinha

ICLR 2024 SOHES: Self-Supervised Open-World Hierarchical Entity Segmentation Shengcao Cao, Jiuxiang Gu, Jason Kuen, Hao Tan, Ruiyi Zhang, Handong Zhao, Ani Nenkova, Liangyan Gui, Tong Sun, Yu-Xiong Wang

NeurIPS 2024 SceneCraft: Layout-Guided 3D Scene Generation Xiuyu Yang, Yunze Man, Jun-Kun Chen, Yu-Xiong Wang

CVPR 2024 Situational Awareness Matters in 3D Vision Language Reasoning Yunze Man, Liang-Yan Gui, Yu-Xiong Wang

CVPR 2024 TAMM: TriAdapter Multi-Modal Learning for 3D Shape Understanding Zhihao Zhang, Shengcao Cao, Yu-Xiong Wang

ECCVW 2024 The Second Visual Object Tracking Segmentation VOTS2024 Challenge Results Matej Kristan, Jirí Matas, Pavel Tokmakov, Michael Felsberg, Luka Cehovin Zajc, Alan Lukezic, Khanh-Tung Tran, Xuan-Son Vu, Johanna Björklund, Hyung Jin Chang, Gustavo Fernández, Minasadat Attari, Antoni B. Chan, Liang Chen, Xin Chen, Jaired Collins, Yutao Cui, Ganesh Sai Manas Devarapu, Yinglong Du, Heng Fan, Wan-Cyuan Fan, Zhenhua Feng, Mingqi Gao, Rama Krishna Gorthi, Raghav Goyal, Jungong Han, Bijaya Kumar Hatuwal, Zhenyu He, Xiantao Hu, Xingsen Huang, Yuqing Huang, Dongmei Jiang, Ben Kang, Kannappan Palaniappan, Josef Kittler, Simiao Lai, Ning Li, Xiaohai Li, Xin Li, Cheng Liang, Liting Lin, Haibin Ling, Ting Liu, Ziquan Liu, Huchuan Lu, Yifei Luo, Deshui Miao, Juan David Mogollon, Ziqi Pang, Jaswanth Reddy Pochimireddy, Viktor Prutyanov, Gani Rahmon, Aleksandr Romanov, Liangtao Shi, Mennatullah Siam, Leonid Sigal, Arun Kumar Sivapuram, Roman A. Solovyev, Elham Soltani Kazemi, Imad Eddine Toubal, Jia Wan, Limin Wang, Xinying Wang, Yaowei Wang, Yu-Xiong Wang, Zhiquan Wang, Gangshan Wu, Qiangqiang Wu, Xiaojun Wu, Zihao Xia, Jinxia Xie, Chenlong Xu, Tianyang Xu, Yong Xu, Chaocan Xue, Chao Yang, Jinyu Yang, Ming-Hsuan Yang, Chenyang Yu, Ke Yu, Chunhui Zhang, Jiaming Zhang, Zhipeng Zhang, Feng Zheng, Yaozong Zheng, Bineng Zhong, Jinglin Zhou, Junbao Zhou, Yong Zhou, Zikun Zhou, Guibo Zhu, Jiawen Zhu, Xuefeng Zhu, Vladimir V. Zunin

NeurIPS 2023 A Simple Solution for Offline Imitation from Observations and Examples with Possibly Incomplete Trajectories Kai Yan, Alex Schwing, Yu-Xiong Wang

ICCVW 2023 An Empirical Analysis of Range for 3D Object Detection Neehar Peri, Mengtian Li, Benjamin Wilson, Yu-Xiong Wang, James Hays, Deva Ramanan

CVPR 2023 BEV-Guided Multi-Modality Fusion for Driving Perception Yunze Man, Liang-Yan Gui, Yu-Xiong Wang

WACV 2023 Beyond RGB: Scene-Property Synthesis with Neural Radiance Fields Mingtong Zhang, Shuhong Zheng, Zhipeng Bao, Martial Hebert, Yu-Xiong Wang

ICCV 2023 Contrastive Learning Relies More on Spatial Inductive Bias than Supervised Learning: An Empirical Study Yuanyi Zhong, Haoran Tang, Jun-Kun Chen, Yu-Xiong Wang

CVPR 2023 Contrastive Mean Teacher for Domain Adaptive Object Detectors Shengcao Cao, Dhiraj Joshi, Liang-Yan Gui, Yu-Xiong Wang

NeurIPS 2023 Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models Andy Zhou, Jindong Wang, Yu-Xiong Wang, Haohan Wang

WACV 2023 Do Pre-Trained Models Benefit Equally in Continual Learning? Kuan-Ying Lee, Yuanyi Zhong, Yu-Xiong Wang

NeurIPS 2023 HASSOD: Hierarchical Adaptive Self-Supervised Object Detection Shengcao Cao, Dhiraj Joshi, Liangyan Gui, Yu-Xiong Wang

ICCV 2023 Improving Equivariance in State-of-the-Art Supervised Depth and Normal Predictors Yuanyi Zhong, Anand Bhattad, Yu-Xiong Wang, David Forsyth

ICCV 2023 InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion Sirui Xu, Zhengyuan Li, Yu-Xiong Wang, Liang-Yan Gui

ICML 2023 Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation Shengcao Cao, Mengtian Li, James Hays, Deva Ramanan, Yu-Xiong Wang, Liangyan Gui

ICCV 2023 MV-mAP: Offboard HD-mAP Generation with Multi-View Consistency Ziyang Xie, Ziqi Pang, Yu-Xiong Wang

ICCV 2023 Multi-Task View Synthesis with Neural Radiance Fields Shuhong Zheng, Zhipeng Bao, Martial Hebert, Yu-Xiong Wang

CVPR 2023 NeuralEditor: Editing Neural Radiance Fields via Manipulating Point Clouds Jun-Kun Chen, Jipeng Lyu, Yu-Xiong Wang

CVPR 2023 Object Discovery from Motion-Guided Tokens Zhipeng Bao, Pavel Tokmakov, Yu-Xiong Wang, Adrien Gaidon, Martial Hebert

NeurIPSW 2023 Offline Imitation from Observation via Primal Wasserstein State Occupancy Matching Kai Yan, Alex Schwing, Yu-Xiong Wang

CVPR 2023 Standing Between past and Future: Spatio-Temporal Modeling for Multi-Camera 3D Multi-Object Tracking Ziqi Pang, Jie Li, Pavel Tokmakov, Dian Chen, Sergey Zagoruyko, Yu-Xiong Wang

ICLR 2023 Stochastic Multi-Person 3D Motion Forecasting Sirui Xu, Yu-Xiong Wang, Liangyan Gui

NeurIPS 2023 ViCA-NeRF: View-Consistency-Aware 3D Editing of Neural Radiance Fields Jiahua Dong, Yu-Xiong Wang

ICCV 2023 Video State-Changing Object Segmentation Jiangwei Yu, Xiang Li, Xinran Zhao, Hongming Zhang, Yu-Xiong Wang

NeurIPS 2023 YouTubePD: A Multimodal Benchmark for Parkinson’s Disease Analysis Andy Zhou, Samuel Li, Pranav Sriram, Xiang Li, Jiahua Dong, Ansh Sharma, Yuanyi Zhong, Shirui Luo, Volodymyr Kindratenko, George Heintz, Christopher Zallek, Yu-Xiong Wang

NeurIPS 2022 CEIP: Combining Explicit and Implicit Priors for Reinforcement Learning with Demonstrations Kai Yan, Alex Schwing, Yu-Xiong Wang

NeurIPS 2022 Continual Learning with Evolving Class Ontologies Zhiqiu Lin, Deepak Pathak, Yu-Xiong Wang, Deva Ramanan, Shu Kong

CVPR 2022 DIVeR: Real-Time and Accurate Neural Radiance Fields with Deterministic Integration for Volume Rendering Liwen Wu, Jae Yong Lee, Anand Bhattad, Yu-Xiong Wang, David Forsyth

CVPR 2022 Discovering Objects That Can Move Zhipeng Bao, Pavel Tokmakov, Allan Jabri, Yu-Xiong Wang, Adrien Gaidon, Martial Hebert

ECCV 2022 Diverse Human Motion Prediction Guided by Multi-Level Spatial-Temporal Anchors Sirui Xu, Yu-Xiong Wang, Liang-Yan Gui

CVPR 2022 Embracing Single Stride 3D Object Detector with Sparse Transformer Lue Fan, Ziqi Pang, Tianyuan Zhang, Yu-Xiong Wang, Hang Zhao, Feng Wang, Naiyan Wang, Zhaoxiang Zhang

ICML 2022 Generative Modeling for Multi-Task Visual Learning Zhipeng Bao, Martial Hebert, Yu-Xiong Wang

ICMLW 2022 Is Self-Supervised Contrastive Learning More Robust than Supervised Learning? Yuanyi Zhong, Haoran Tang, Junkun Chen, Jian Peng, Yu-Xiong Wang

CVPR 2022 Long-Tailed Recognition via Weight Balancing Shaden Alshammari, Yu-Xiong Wang, Deva Ramanan, Shu Kong

ICLR 2022 On the Importance of Firth Bias Reduction in Few-Shot Classification Saba Ghaffari, Ehsan Saleh, David Forsyth, Yu-Xiong Wang

ECCV 2022 PointTree: Transformation-Robust Point Cloud Encoder with Relaxed K-D Trees Jun-Kun Chen, Yu-Xiong Wang

NeurIPSW 2022 The Curse of Low Task Diversity: On the Failure of Transfer Learning to Outperform MAML and Their Empirical Equivalence Brando Miranda, Patrick Yu, Yu-Xiong Wang, Oluwasanmi O Koyejo

ICLR 2021 Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View Synthesis Zhipeng Bao, Yu-Xiong Wang, Martial Hebert

CVPR 2021 DAP: Detection-Aware Pre-Training with Weak Supervision Yuanyi Zhong, Jianfeng Wang, Lijuan Wang, Jian Peng, Yu-Xiong Wang, Lei Zhang

CVPR 2021 Hallucination Improves Few-Shot Object Detection Weilin Zhang, Yu-Xiong Wang

ICML 2021 Image-Level or Object-Level? a Tale of Two Resampling Strategies for Long-Tailed Detection Nadine Chang, Zhiding Yu, Yu-Xiong Wang, Animashree Anandkumar, Sanja Fidler, Jose M Alvarez

ICCV 2021 Learning to Hallucinate Examples from Extrinsic and Intrinsic Supervision Liangke Gui, Adrien Bardes, Ruslan Salakhutdinov, Alexander Hauptmann, Martial Hebert, Yu-Xiong Wang

ICCV 2021 On the Importance of Distractors for Few-Shot Classification Rajshekhar Das, Yu-Xiong Wang, José M. F. Moura

ICCV 2021 Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation Yuanyi Zhong, Bodi Yuan, Hong Wu, Zhiqiang Yuan, Jian Peng, Yu-Xiong Wang

CVPRW 2021 Unlocking the Full Potential of Small Data with Diverse Supervision Ziqi Pang, Zhiyuan Hu, Pavel Tokmakov, Yu-Xiong Wang, Martial Hebert

ECCV 2020 Towards Streaming Perception Mengtian Li, Yu-Xiong Wang, Deva Ramanan

ECCV 2018 Adversarial Geometry-Aware Human Motion Prediction Liang-Yan Gui, Yu-Xiong Wang, Xiaodan Liang, Jose M. F. Moura

WACV 2018 Factorized Convolutional Networks: Unsupervised Fine-Tuning for Image Clustering Liang-Yan Gui, Liangke Gui, Yu-Xiong Wang, Louis-Philippe Morency, José M. F. Moura

ECCV 2018 Few-Shot Human Motion Prediction via Meta-Learning Liang-Yan Gui, Yu-Xiong Wang, Deva Ramanan, Jose M. F. Moura

ICCVW 2017 Few-Shot Hash Learning for Image Retrieval Liangke Gui, Yu-Xiong Wang, Martial Hebert

CVPR 2017 Growing a Brain: Fine-Tuning by Increasing Model Capacity Yu-Xiong Wang, Deva Ramanan, Martial Hebert

NeurIPS 2017 Learning to Model the Tail Yu-Xiong Wang, Deva Ramanan, Martial Hebert

AAAI 2016 Learning by Transferring from Unsupervised Universal Sources Yu-Xiong Wang, Martial Hebert

NeurIPS 2016 Learning from Small Sample Sets by Combining Unsupervised Meta-Training with CNNs Yu-Xiong Wang, Martial Hebert

ECCV 2016 Learning to Learn: Model Regression Networks for Easy Small Sample Learning Yu-Xiong Wang, Martial Hebert

CVPR 2015 Model Recommendation: Generating Object Detectors from Few Samples Yu-Xiong Wang, Martial Hebert

ECCV 2014 Self-Explanatory Sparse Representation for Image Classification Bao-Di Liu, Yu-Xiong Wang, Bin Shen, Yu-Jin Zhang, Martial Hebert