Yu-Xiong Wang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
88
Venues
16
Active years
2011–2025
Best venue rank
A*
Where they publish
Papers
88 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | InterMimic: Towards Universal Whole-Body Control for Physics-Based Human-Object Interactions. | Sirui Xu, Hung Yu Ling, Yu-Xiong Wang, Liang-Yan Gui |
| 2025 | CVPR | 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 |
| 2025 | CVPR | GLUS: Global-Local Reasoning Unified into A Single Large Language Model for Video Segmentation. | Lang Lin, Xueyang Yu, Ziqi Pang, Yu-Xiong Wang |
| 2025 | CVPR | 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 |
| 2025 | CVPR | Floating No More: Object-Ground Reconstruction from a Single Image. | Yunze Man, Yichen Sheng, Jianming Zhang, Liang-Yan Gui, Yu-Xiong Wang |
| 2025 | CVPR | 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 |
| 2025 | EMNLP | Visual Program Distillation with Template-Based Augmentation. | Michal Shlapentokh-Rothman, Yu-Xiong Wang, Derek Hoiem |
| 2025 | ICCV | ReferevErything: Towards Segmenting Everything we can Speak of in Videos. | Anurag Bagchi, Zhipeng Bao, Yu-Xiong Wang, Pavel Tokmakov, Martial Hebert |
| 2025 | ICCV | 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 |
| 2025 | ICCV | The Third Visual Object Tracking Segmentation VOTS2025 Challenge Results. | Matei Kristan, Jir Matas, Pavel Tokmakov, Alan Lukezic, Michael Felsberg, Luka Cehovin Zajc, Khanh-Tung Tran, Xuan-Son Vu, Johanna Bjrklund, Michal Neoral, Hyung Jin Chang, Gustavo Fernndez, Minasadat Attari, Matteo Dunnhofer, Wei Feng, Zhenhua Feng, Jin Gao, Yameng Gu, Ruize Han, Jiawei He, Zhenyu He, Junhui Hou, Weiming Hu, Xiantao Hu, Xingsen Huang, Yuqing Huang, Gleb Kirichenko, Josef Kittler, Yutong Kou, Simiao Lai, Bing Li, Xin Li, Shubo Lin, Huchuan Lu, Deshui Miao, Christian Micheloni, Juan David Mogollon, Moritz Nottebaum, Kannappan Palaniappan, Ziqi Pang, Zekun Qian, Gani Rahmon, Aleksandr Romanov, Liangtao Shi, Roman A. Solovyev, Elham Soltani Kazemi, Imad Eddine Toubal, Jovana Videnovic, Dong Wang, Yaowei Wang, Yu-Xiong Wang, Zhixiang Wang, Xiaojun Wu, Jinxia Xie, Tianyang Xu, Chaocan Xue, Yuanliang Xue, Ming-Hsuan Yang, Dmitriy Yurtov, Chunui Zhang, Xiangqun Zhang, Yunfei Zhang, Qingfang Zheng, Bineng Zhong, Fuan Zhong, Jinglin Zhou, Jingmeng Zhou, Junbao Zhou, Yong Zhou, Xuefeng Zhu |
| 2025 | ICLR | 3DGS-Drag: Dragging Gaussians for Intuitive Point-Based 3D Editing. | Jiahua Dong, Yu-Xiong Wang |
| 2025 | ICLR | Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning. | Yuxiang Lu, Shengcao Cao, Yu-Xiong Wang |
| 2025 | ICLR | Aligning Generative Denoising with Discriminative Objectives Unleashes Diffusion for Visual Perception. | Ziqi Pang, Xin Xu, Yu-Xiong Wang |
| 2025 | ICLR | RTDiff: Reverse Trajectory Synthesis via Diffusion for Offline Reinforcement Learning. | Qianlan Yang, Yu-Xiong Wang |
| 2025 | ICLR | Diff-2-in-1: Bridging Generation and Dense Perception with Diffusion Models. | Shuhong Zheng, Zhipeng Bao, Ruoyu Zhao, Martial Hebert, Yu-Xiong Wang |
| 2025 | ICML | 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 |
| 2024 | ACL | Aligning Large Multimodal Models with Factually Augmented RLHF. | Zhiqing Sun, Sheng Shen, Shengcao Cao, Haotian Liu, Chunyuan Li, Yikang Shen, Chuang Gan, Liangyan Gui, Yu-Xiong Wang, Yiming Yang, Kurt Keutzer, Trevor Darrell |
| 2024 | CVPR | ConsistDreamer: 3D-Consistent 2D Diffusion for High-Fidelity Scene Editing. | Jun-Kun Chen, Samuel Rota Bul, Norman Mller, Lorenzo Porzi, Peter Kontschieder, Yu-Xiong Wang |
| 2024 | CVPR | Situational Awareness Matters in 3D Vision Language Reasoning. | Yunze Man, Liang-Yan Gui, Yu-Xiong Wang |
| 2024 | CVPR | Instruct 4D-to-4D: Editing 4D Scenes as Pseudo-3D Scenes Using 2D Diffusion. | Linzhan Mou, Jun-Kun Chen, Yu-Xiong Wang |
| 2024 | CVPR | 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 |
| 2024 | CVPR | TAMM: TriAdapter Multi-Modal Learning for 3D Shape Understanding. | Zhihao Zhang, Shengcao Cao, Yu-Xiong Wang |
| 2024 | CVPR | RMem: Restricted Memory Banks Improve Video Object Segmentation. | Junbao Zhou, Ziqi Pang, Yu-Xiong Wang |
| 2024 | ECCV | The Second Visual Object Tracking Segmentation VOTS2024 Challenge Results. | Matej Kristan, Jir Matas, Pavel Tokmakov, Michael Felsberg, Luka Cehovin Zajc, Alan Lukezic, Khanh-Tung Tran, Xuan-Son Vu, Johanna Bjrklund, Hyung Jin Chang, Gustavo Fernndez, 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 Sai S. 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 |
| 2024 | ECCV | AlignDiff: Aligning Diffusion Models for General Few-Shot Segmentation. | Ri-Zhao Qiu, Yu-Xiong Wang, Kris Hauser |
| 2024 | ICLR | 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 |
| 2024 | ICLR | Robust Model-Based Optimization for Challenging Fitness Landscapes. | Saba Ghaffari, Ehsan Saleh, Alexander G. Schwing, Yu-Xiong Wang, Martin D. Burke, Saurabh Sinha |
| 2024 | ICLR | Frozen Transformers in Language Models Are Effective Visual Encoder Layers. | Ziqi Pang, Ziyang Xie, Yunze Man, Yu-Xiong Wang |
| 2024 | ICML | ATraDiff: Accelerating Online Reinforcement Learning with Imaginary Trajectories. | Qianlan Yang, Yu-Xiong Wang |
| 2024 | ICML | Offline Imitation from Observation via Primal Wasserstein State Occupancy Matching. | Kai Yan, Alexander G. Schwing, Yu-Xiong Wang |
| 2024 | ICML | Language Agent Tree Search Unifies Reasoning, Acting, and Planning in Language Models. | Andy Zhou, Kai Yan, Michal Shlapentokh-Rothman, Haohan Wang, Yu-Xiong Wang |
| 2024 | ICSE | An Empirical Comparison of Code Generation Approaches for Ansible. | Benjamin Darnell, Hetarth Chopra, Aaron Councilman, David Grove, Yu-Xiong Wang, Vikram S. Adve |
| 2024 | SIGGRAPH | Separate-and-Enhance: Compositional Finetuning for Text-to-Image Diffusion Models. | Zhipeng Bao, Yijun Li, Krishna Kumar Singh, Yu-Xiong Wang, Martial Hebert |
| 2023 | CVPR | Object Discovery from Motion-Guided Tokens. | Zhipeng Bao, Pavel Tokmakov, Yu-Xiong Wang, Adrien Gaidon, Martial Hebert |
| 2023 | CVPR | Contrastive Mean Teacher for Domain Adaptive Object Detectors. | Shengcao Cao, Dhiraj Joshi, Liang-Yan Gui, Yu-Xiong Wang |
| 2023 | CVPR | NeuralEditor: Editing Neural Radiance Fields via Manipulating Point Clouds. | Jun-Kun Chen, Jipeng Lyu, Yu-Xiong Wang |
| 2023 | CVPR | BEV-Guided Multi-Modality Fusion for Driving Perception. | Yunze Man, Liang-Yan Gui, Yu-Xiong Wang |
| 2023 | CVPR | 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 |
| 2023 | ICCV | InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion. | Sirui Xu, Zhengyuan Li, Yu-Xiong Wang, Liang-Yan Gui |
| 2023 | ICCV | MV-Map: Offboard HD Map Generation with Multi-view Consistency. | Ziyang Xie, Ziqi Pang, Yu-Xiong Wang |
| 2023 | ICCV | Video State-Changing Object Segmentation. | Jiangwei Yu, Xiang Li, Xinran Zhao, Hongming Zhang, Yu-Xiong Wang |
| 2023 | ICCV | Multi-task View Synthesis with Neural Radiance Fields. | Shuhong Zheng, Zhipeng Bao, Martial Hebert, Yu-Xiong Wang |
| 2023 | ICCV | Improving Equivariance in State-of-the-Art Supervised Depth and Normal Predictors. | Yuanyi Zhong, Anand Bhattad, Yu-Xiong Wang, David A. Forsyth |
| 2023 | ICCV | Contrastive Learning Relies More on Spatial Inductive Bias Than Supervised Learning: An Empirical Study. | Yuanyi Zhong, Haoran Tang, Jun-Kun Chen, Yu-Xiong Wang |
| 2023 | ICLR | Stochastic Multi-Person 3D Motion Forecasting. | Sirui Xu, Yu-Xiong Wang, Liangyan Gui |
| 2023 | ICML | Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation. | Shengcao Cao, Mengtian Li, James Hays, Deva Ramanan, Yu-Xiong Wang, Liangyan Gui |
| 2023 | IROS | DualCross: Cross-Modality Cross-Domain Adaptation for Monocular BEV Perception. | Yunze Man, Liangyan Gui, Yu-Xiong Wang |
| 2023 | IROS | Streaming Motion Forecasting for Autonomous Driving. | Ziqi Pang, Deva Ramanan, Mengtian Li, Yu-Xiong Wang |
| 2023 | IROS | Revisiting Deformable Convolution for Depth Completion. | Xinglong Sun, Jean Ponce, Yu-Xiong Wang |
| 2023 | WACV | Do Pre-trained Models Benefit Equally in Continual Learning? | Kuan-Ying Lee, Yuanyi Zhong, Yu-Xiong Wang |
| 2023 | WACV | Beyond RGB: Scene-Property Synthesis with Neural Radiance Fields. | Mingtong Zhang, Shuhong Zheng, Zhipeng Bao, Martial Hebert, Yu-Xiong Wang |
| 2022 | CVPR | Long- Tailed Recognition via Weight Balancing. | Shaden Alshammari, Yu-Xiong Wang, Deva Ramanan, Shu Kong |
| 2022 | CVPR | Discovering Objects that Can Move. | Zhipeng Bao, Pavel Tokmakov, Allan Jabri, Yu-Xiong Wang, Adrien Gaidon, Martial Hebert |
| 2022 | CVPR | 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 |
| 2022 | CVPR | 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 A. Forsyth |
| 2022 | ECCV | PointTree: Transformation-Robust Point Cloud Encoder with Relaxed K-D Trees. | Jun-Kun Chen, Yu-Xiong Wang |
| 2022 | ECCV | Diverse Human Motion Prediction Guided by Multi-level Spatial-Temporal Anchors. | Sirui Xu, Yu-Xiong Wang, Liang-Yan Gui |
| 2022 | ICDM | Generalized Few-Shot Node Classification. | Zhe Xu, Kaize Ding, Yu-Xiong Wang, Huan Liu, Hanghang Tong |
| 2022 | ICLR | On the Importance of Firth Bias Reduction in Few-Shot Classification. | Saba Ghaffari, Ehsan Saleh, David A. Forsyth, Yu-Xiong Wang |
| 2022 | ICML | Generative Modeling for Multi-task Visual Learning. | Zhipeng Bao, Martial Hebert, Yu-Xiong Wang |
| 2021 | CVPR | Unlocking the Full Potential of Small Data With Diverse Supervision. | Ziqi Pang, Zhiyuan Hu, Pavel Tokmakov, Yu-Xiong Wang, Martial Hebert |
| 2021 | CVPR | Hallucination Improves Few-Shot Object Detection. | Weilin Zhang, Yu-Xiong Wang |
| 2021 | CVPR | DAP: Detection-Aware Pre-Training With Weak Supervision. | Yuanyi Zhong, Jianfeng Wang, Lijuan Wang, Jian Peng, Yu-Xiong Wang, Lei Zhang |
| 2021 | ICCV | On the Importance of Distractors for Few-Shot Classification. | Rajshekhar Das, Yu-Xiong Wang, Jos M. F. Moura |
| 2021 | ICCV | Learning to Hallucinate Examples from Extrinsic and Intrinsic Supervision. | Liangke Gui, Adrien Bardes, Ruslan Salakhutdinov, Alexander Hauptmann, Martial Hebert, Yu-Xiong Wang |
| 2021 | ICCV | Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation. | Yuanyi Zhong, Bodi Yuan, Hong Wu, Zhiqiang Yuan, Jian Peng, Yu-Xiong Wang |
| 2021 | ICLR | Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View Synthesis. | Zhipeng Bao, Yu-Xiong Wang, Martial Hebert |
| 2021 | ICML | 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, Jos M. lvarez |
| 2020 | ECCV | Towards Streaming Perception. | Mengtian Li, Yu-Xiong Wang, Deva Ramanan |
| 2019 | CVPR | Image Deformation Meta-Networks for One-Shot Learning. | Zitian Chen, Yanwei Fu, Yu-Xiong Wang, Lin Ma, Wei Liu, Martial Hebert |
| 2019 | ICCV | Learning Compositional Representations for Few-Shot Recognition. | Pavel Tokmakov, Yu-Xiong Wang, Martial Hebert |
| 2019 | ICCV | Meta-Learning to Detect Rare Objects. | Yu-Xiong Wang, Deva Ramanan, Martial Hebert |
| 2018 | CVPR | Low-Shot Learning From Imaginary Data. | Yu-Xiong Wang, Ross B. Girshick, Martial Hebert, Bharath Hariharan |
| 2018 | ECCV | Adversarial Geometry-Aware Human Motion Prediction. | Liang-Yan Gui, Yu-Xiong Wang, Xiaodan Liang, Jos M. F. Moura |
| 2018 | ECCV | Few-Shot Human Motion Prediction via Meta-learning. | Liang-Yan Gui, Yu-Xiong Wang, Deva Ramanan, Jos M. F. Moura |
| 2018 | IROS | Teaching Robots to Predict Human Motion. | Liang-Yan Gui, Kevin Zhang, Yu-Xiong Wang, Xiaodan Liang, Jos M. F. Moura, Manuela Veloso |
| 2018 | WACV | Factorized Convolutional Networks: Unsupervised Fine-Tuning for Image Clustering. | Liang-Yan Gui, Liangke Gui, Yu-Xiong Wang, Louis-Philippe Morency, Jos M. F. Moura |
| 2017 | CVPR | Growing a Brain: Fine-Tuning by Increasing Model Capacity. | Yu-Xiong Wang, Deva Ramanan, Martial Hebert |
| 2016 | AAAI | Learning by Transferring from Unsupervised Universal Sources. | Yu-Xiong Wang, Martial Hebert |
| 2016 | ECCV | Learning to Learn: Model Regression Networks for Easy Small Sample Learning. | Yu-Xiong Wang, Martial Hebert |
| 2015 | CVPR | Model recommendation: Generating object detectors from few samples. | Yu-Xiong Wang, Martial Hebert |
| 2014 | ECCV | Self-explanatory Sparse Representation for Image Classification. | Bao-Di Liu, Yu-Xiong Wang, Bin Shen, Yu-Jin Zhang, Martial Hebert |
| 2014 | ICASSP | Blockwise coordinate descent schemes for sparse representation. | Bao-Di Liu, Yu-Xiong Wang, Bin Shen, Yu-Jin Zhang, Yanjiang Wang |
| 2014 | SMC | Class specific subspace learning for collaborative representation. | Bao-Di Liu, Bin Shen, Yu-Xiong Wang, Weifeng Liu, Yanjiang Wang |
| 2013 | SMC | Self-Explanatory Convex Sparse Representation for Image Classification. | Bao-Di Liu, Yu-Xiong Wang, Bin Shen, Yu-Jin Zhang, Yanjiang Wang, Weifeng Liu |
| 2012 | ICASSP | Discriminant sparse coding for image classification. | Bao-Di Liu, Yu-Xiong Wang, Yu-Jin Zhang, Yin Zheng |
| 2012 | ICASSP | Neighborhood Preserving Non-negative Tensor Factorization for image representation. | Yu-Xiong Wang, Liang-Yan Gui, Yu-Jin Zhang |
| 2011 | ICIP | Image inpainting via Weighted Sparse Non-negative Matrix Factorization. | Yu-Xiong Wang, Yu-Jin Zhang |