Yu-Xiong Wang

223 papers A* 72A 7B 3Misc 3Journal 116Unranked 21
YearRankTypeTitle / Venue / Authors
2026 J jnl
3DGS-Drag: Dragging Gaussians for Intuitive Point-Based 3D Editing.
CoRR
Jiahua Dong, Yu-Xiong Wang
2026 J jnl
Capturing Visual Environment Structure Correlates with Control Performance.
CoRR
Jiahua Dong, Yunze Man, Pavel Tokmakov, Yu-Xiong Wang
2026 J jnl
HandX: Scaling Bimanual Motion and Interaction Generation.
CoRR
Zimu Zhang, Yucheng Zhang, Xiyan Xu, Ziyin Wang, Sirui Xu, Kai Zhou, Bing Zhou, Chuan Guo, Jian Wang, Yu-Xiong Wang, Liang-Yan Gui
2026 J jnl
InterPrior: Scaling Generative Control for Physics-Based Human-Object Interactions.
CoRR
Sirui Xu, Samuel Schulter, Morteza Ziyadi, Xialin He, Xiaohan Fei, Yu-Xiong Wang, Liangyan Gui
2026 J jnl
Latent Wasserstein Adversarial Imitation Learning.
CoRR
Siqi Yang, Kai Yan, Alexander G. Schwing, Yu-Xiong Wang
2026 J jnl
ULTRA: Unified Multimodal Control for Autonomous Humanoid Whole-Body Loco-Manipulation.
CoRR
Xialin He, Sirui Xu, Xinyao Li, Runpei Dong, Liuyu Bian, Yu-Xiong Wang, Liang-Yan Gui
2026 J jnl
Unleashing Guidance Without Classifiers for Human-Object Interaction Animation.
CoRR
Ziyin Wang, Sirui Xu, Chuan Guo, Bing Zhou, Jiangshan Gong, Jian Wang, Yu-Xiong Wang, Liang-Yan Gui
2026 J jnl
Walk through Paintings: Egocentric World Models from Internet Priors.
CoRR
Anurag Bagchi, Zhipeng Bao, Homanga Bharadhwaj, Yu-Xiong Wang, Pavel Tokmakov, Martial Hebert
2025 A* conf
3DGS-Drag: Dragging Gaussians for Intuitive Point-Based 3D Editing.
ICLR
Jiahua Dong, Yu-Xiong Wang
2025 J jnl
AgMMU: A Comprehensive Agricultural Multimodal Understanding and Reasoning Benchmark.
CoRR
Aruna Gauba, Irene Pi, Yunze Man, Ziqi Pang, Vikram S. Adve, Yu-Xiong Wang
2025 A* conf
Aligning Generative Denoising with Discriminative Objectives Unleashes Diffusion for Visual Perception.
ICLR
Ziqi Pang, Xin Xu, Yu-Xiong Wang
2025 J jnl
Aligning Generative Denoising with Discriminative Objectives Unleashes Diffusion for Visual Perception.
CoRR
Ziqi Pang, Xin Xu, Yu-Xiong Wang
2025 A* conf
Argus: Vision-Centric Reasoning with Grounded Chain-of-Thought.
CVPR
Yunze Man, De-An Huang, Guilin Liu, Shiwei Sheng, Shilong Liu, Liang-Yan Gui, Jan Kautz, Yu-Xiong Wang, Zhiding Yu
2025 J jnl
Argus: Vision-Centric Reasoning with Grounded Chain-of-Thought.
CoRR
Yunze Man, De-An Huang, Guilin Liu, Shiwei Sheng, Shilong Liu, Liang-Yan Gui, Jan Kautz, Yu-Xiong Wang, Zhiding Yu
2025 J jnl
Dexplore: Scalable Neural Control for Dexterous Manipulation from Reference-Scoped Exploration.
CoRR
Sirui Xu, Yu-Wei Chao, Liuyu Bian, Arsalan Mousavian, Yu-Xiong Wang, Liang-Yan Gui, Wei Yang
2025 A* conf
Diff-2-in-1: Bridging Generation and Dense Perception with Diffusion Models.
ICLR
Shuhong Zheng, Zhipeng Bao, Ruoyu Zhao, Martial Hebert, Yu-Xiong Wang
2025 J jnl
Dress&Dance: Dress up and Dance as You Like It - Technical Preview.
CoRR
Jun-Kun Chen, Aayush Bansal, Minh Phuoc Vo, Yu-Xiong Wang
2025 A* conf
Floating No More: Object-Ground Reconstruction from a Single Image.
CVPR
Yunze Man, Yichen Sheng, Jianming Zhang, Liang-Yan Gui, Yu-Xiong Wang
2025 A* conf
GLUS: Global-Local Reasoning Unified into A Single Large Language Model for Video Segmentation.
CVPR
Lang Lin, Xueyang Yu, Ziqi Pang, Yu-Xiong Wang
2025 J jnl
GLUS: Global-Local Reasoning Unified into A Single Large Language Model for Video Segmentation.
CoRR
Lang Lin, Xueyang Yu, Ziqi Pang, Yu-Xiong Wang
2025 A* conf
InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation.
CVPR
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 J jnl
InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation.
CoRR
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 A* conf
InterMimic: Towards Universal Whole-Body Control for Physics-Based Human-Object Interactions.
CVPR
Sirui Xu, Hung Yu Ling, Yu-Xiong Wang, Liang-Yan Gui
2025 J jnl
InterMimic: Towards Universal Whole-Body Control for Physics-Based Human-Object Interactions.
CoRR
Sirui Xu, Hung Yu Ling, Yu-Xiong Wang, Liang-Yan Gui
2025 J jnl
Learning to Detect Novel Species with SAM in the Wild.
Int. J. Comput. Vis.
Garvita Allabadi, Ana Lucic, Yu-Xiong Wang, Vikram S. Adve
2025 J jnl
LocateAnything3D: Vision-Language 3D Detection with Chain-of-Sight.
CoRR
Yunze Man, Shihao Wang, Guowen Zhang, Johan Bjorck, Zhiqi Li, Liang-Yan Gui, Jim Fan, Jan Kautz, Yu-Xiong Wang, Zhiding Yu
2025 J jnl
MR. Video: "MapReduce" is the Principle for Long Video Understanding.
CoRR
Ziqi Pang, Yu-Xiong Wang
2025 J jnl
MoReact: Generating Reactive Motion from Textual Descriptions.
CoRR
Xiyan Xu, Sirui Xu, Yu-Xiong Wang, Liang-Yan Gui
2025 J jnl
MoReact: Generating Reactive Motion from Textual Descriptions.
Trans. Mach. Learn. Res.
Xiyan Xu, Sirui Xu, Yu-Xiong Wang, Liangyan Gui
2025 J jnl
PPTArena: A Benchmark for Agentic PowerPoint Editing.
CoRR
Michael Ofengenden, Yunze Man, Ziqi Pang, Yu-Xiong Wang
2025 A* conf
Proposer-Agent-Evaluator (PAE): Autonomous Skill Discovery For Foundation Model Internet Agents.
ICML
Yifei Zhou, Qianlan Yang, Kaixiang Lin, Min Bai, Xiong Zhou, Yu-Xiong Wang, Sergey Levine, Li Erran Li
2025 A* conf
RTDiff: Reverse Trajectory Synthesis via Diffusion for Offline Reinforcement Learning.
ICLR
Qianlan Yang, Yu-Xiong Wang
2025 A* conf
RandAR: Decoder-only Autoregressive Visual Generation in Random Orders.
CVPR
Ziqi Pang, Tianyuan Zhang, Fujun Luan, Yunze Man, Hao Tan, Kai Zhang, William T. Freeman, Yu-Xiong Wang
2025 J jnl
Refer to Anything with Vision-Language Prompts.
CoRR
Shengcao Cao, Zijun Wei, Jason Kuen, Kangning Liu, Lingzhi Zhang, Jiuxiang Gu, Hyunjoon Jung, Liang-Yan Gui, Yu-Xiong Wang
2025 J jnl
SCas4D: Structural Cascaded Optimization for Boosting Persistent 4D Novel View Synthesis.
CoRR
Jipeng Lyu, Jiahua Dong, Yu-Xiong Wang
2025 J jnl
SCas4D: Structural Cascaded Optimization for Boosting Persistent 4D Novel View Synthesis.
Trans. Mach. Learn. Res.
Jipeng Lyu, Jiahua Dong, Yu-Xiong Wang
2025 J jnl
SLMFix: Leveraging Small Language Models for Error Fixing with Reinforcement Learning.
CoRR
David Jiahao Fu, Aryan Gupta, Aaron Councilman, David Grove, Yu-Xiong Wang, Vikram S. Adve
2025 A* conf
Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning.
ICLR
Yuxiang Lu, Shengcao Cao, Yu-Xiong Wang
2025 — conf
The Third Visual Object Tracking Segmentation VOTS2025 Challenge Results.
ICCVW
Matei Kristan, Jirí Matas, Pavel Tokmakov, Alan Lukezic, Michael Felsberg, Luka Cehovin Zajc, Khanh-Tung Tran, Xuan-Son Vu, Johanna Björklund, Michal Neoral, Hyung Jin Chang, Gustavo Fernández, 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 J jnl
Towards Formal Verification of LLM-Generated Code from Natural Language Prompts.
CoRR
Aaron Councilman, David Fu, Aryan Gupta, Chengxiao Wang, David Grove, Yu-Xiong Wang, Vikram S. Adve
2025 J jnl
V2Edit: Versatile Video Diffusion Editor for Videos and 3D Scenes.
CoRR
Yanming Zhang, Jun-Kun Chen, Jipeng Lyu, Yu-Xiong Wang
2025 J jnl
Virtual Fitting Room: Generating Arbitrarily Long Videos of Virtual Try-On from a Single Image - Technical Preview.
CoRR
Jun-Kun Chen, Aayush Bansal, Minh Phuoc Vo, Yu-Xiong Wang
2025 J jnl
Visual Backdoor Attacks on MLLM Embodied Decision Making via Contrastive Trigger Learning.
CoRR
Qiusi Zhan, Hyeonjeong Ha, Rui Yang, Sirui Xu, Hanyang Chen, Liang-Yan Gui, Yu-Xiong Wang, Huan Zhang, Heng Ji, Daniel Kang
2025 — conf
Visual Program Distillation with Template-Based Augmentation.
EMNLP (Findings)
Michal Shlapentokh-Rothman, Yu-Xiong Wang, Derek Hoiem
2024 A* conf
ATraDiff: Accelerating Online Reinforcement Learning with Imaginary Trajectories.
ICML
Qianlan Yang, Yu-Xiong Wang
2024 J jnl
ATraDiff: Accelerating Online Reinforcement Learning with Imaginary Trajectories.
CoRR
Qianlan Yang, Yu-Xiong Wang
2024 — conf
AlignDiff: Aligning Diffusion Models for General Few-Shot Segmentation.
ECCV (41)
Ri-Zhao Qiu, Yu-Xiong Wang, Kris Hauser
2024 — conf
Aligning Large Multimodal Models with Factually Augmented RLHF.
ACL (Findings)
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 — conf
An Empirical Comparison of Code Generation Approaches for Ansible.
InteNSE
Benjamin Darnell, Hetarth Chopra, Aaron Councilman, David Grove, Yu-Xiong Wang, Vikram S. Adve
2024 J jnl
Can We Generate Visual Programs Without Prompting LLMs?
CoRR
Michal Shlapentokh-Rothman, Yu-Xiong Wang, Derek Hoiem
2024 A* conf
ConsistDreamer: 3D-Consistent 2D Diffusion for High-Fidelity Scene Editing.
CVPR
Jun-Kun Chen, Samuel Rota Bulò, Norman Müller, Lorenzo Porzi, Peter Kontschieder, Yu-Xiong Wang
2024 J jnl
ConsistDreamer: 3D-Consistent 2D Diffusion for High-Fidelity Scene Editing.
CoRR
Jun-Kun Chen, Samuel Rota Bulò, Norman Müller, Lorenzo Porzi, Peter Kontschieder, Yu-Xiong Wang
2024 J jnl
Diff-2-in-1: Bridging Generation and Dense Perception with Diffusion Models.
CoRR
Shuhong Zheng, Zhipeng Bao, Ruoyu Zhao, Martial Hebert, Yu-Xiong Wang
2024 J jnl
Emerging Pixel Grounding in Large Multimodal Models Without Grounding Supervision.
CoRR
Shengcao Cao, Liang-Yan Gui, Yu-Xiong Wang
2024 J jnl
Floating No More: Object-Ground Reconstruction from a Single Image.
CoRR
Yunze Man, Yichen Sheng, Jianming Zhang, Liang-Yan Gui, Yu-Xiong Wang
2024 A* conf
Frozen Transformers in Language Models Are Effective Visual Encoder Layers.
ICLR
Ziqi Pang, Ziyang Xie, Yunze Man, Yu-Xiong Wang
2024 J jnl
Generalized few-shot node classification: toward an uncertainty-based solution.
Knowl. Inf. Syst.
Zhe Xu, Kaize Ding, Yu-Xiong Wang, Huan Liu, Hanghang Tong
2024 J jnl
HASSOD: Hierarchical Adaptive Self-Supervised Object Detection.
CoRR
Shengcao Cao, Dhiraj Joshi, Liang-Yan Gui, Yu-Xiong Wang
2024 A* conf
Instruct 4D-to-4D: Editing 4D Scenes as Pseudo-3D Scenes Using 2D Diffusion.
CVPR
Linzhan Mou, Jun-Kun Chen, Yu-Xiong Wang
2024 J jnl
Instruct 4D-to-4D: Editing 4D Scenes as Pseudo-3D Scenes Using 2D Diffusion.
CoRR
Linzhan Mou, Jun-Kun Chen, Yu-Xiong Wang
2024 A* conf
InstructG2I: Synthesizing Images from Multimodal Attributed Graphs.
NeurIPS
Bowen Jin, Ziqi Pang, Bingjun Guo, Yu-Xiong Wang, Jiaxuan You, Jiawei Han
2024 J jnl
InstructG2I: Synthesizing Images from Multimodal Attributed Graphs.
CoRR
Bowen Jin, Ziqi Pang, Bingjun Guo, Yu-Xiong Wang, Jiaxuan You, Jiawei Han
2024 A* conf
InterDreamer: Zero-Shot Text to 3D Dynamic Human-Object Interaction.
NeurIPS
Sirui Xu, Ziyin Wang, Yu-Xiong Wang, Liangyan Gui
2024 J jnl
InterDreamer: Zero-Shot Text to 3D Dynamic Human-Object Interaction.
CoRR
Sirui Xu, Ziyin Wang, Yu-Xiong Wang, Liang-Yan Gui
2024 A* conf
Language Agent Tree Search Unifies Reasoning, Acting, and Planning in Language Models.
ICML
Andy Zhou, Kai Yan, Michal Shlapentokh-Rothman, Haohan Wang, Yu-Xiong Wang
2024 A* conf
Lexicon3D: Probing Visual Foundation Models for Complex 3D Scene Understanding.
NeurIPS
Yunze Man, Shuhong Zheng, Zhipeng Bao, Martial Hebert, Liangyan Gui, Yu-Xiong Wang
2024 J jnl
Lexicon3D: Probing Visual Foundation Models for Complex 3D Scene Understanding.
CoRR
Yunze Man, Shuhong Zheng, Zhipeng Bao, Martial Hebert, Liang-Yan Gui, Yu-Xiong Wang
2024 A* conf
Offline Imitation from Observation via Primal Wasserstein State Occupancy Matching.
ICML
Kai Yan, Alexander G. Schwing, Yu-Xiong Wang
2024 J jnl
PaintScene4D: Consistent 4D Scene Generation from Text Prompts.
CoRR
Vinayak Gupta, Yunze Man, Yu-Xiong Wang
2024 A* conf
ProEdit: Simple Progression is All You Need for High-Quality 3D Scene Editing.
NeurIPS
Jun-Kun Chen, Yu-Xiong Wang
2024 J jnl
ProEdit: Simple Progression is All You Need for High-Quality 3D Scene Editing.
CoRR
Jun-Kun Chen, Yu-Xiong Wang
2024 J jnl
Proposer-Agent-Evaluator(PAE): Autonomous Skill Discovery For Foundation Model Internet Agents.
CoRR
Yifei Zhou, Qianlan Yang, Kaixiang Lin, Min Bai, Xiong Zhou, Yu-Xiong Wang, Sergey Levine, Li Erran Li
2024 A* conf
RMem: Restricted Memory Banks Improve Video Object Segmentation.
CVPR
Junbao Zhou, Ziqi Pang, Yu-Xiong Wang
2024 J jnl
RMem: Restricted Memory Banks Improve Video Object Segmentation.
CoRR
Junbao Zhou, Ziqi Pang, Yu-Xiong Wang
2024 J jnl
RandAR: Decoder-only Autoregressive Visual Generation in Random Orders.
CoRR
Ziqi Pang, Tianyuan Zhang, Fujun Luan, Yunze Man, Hao Tan, Kai Zhang, William T. Freeman, Yu-Xiong Wang
2024 J jnl
ReferEverything: Towards Segmenting Everything We Can Speak of in Videos.
CoRR
Anurag Bagchi, Zhipeng Bao, Yu-Xiong Wang, Pavel Tokmakov, Martial Hebert
2024 A* conf
Region-Based Representations Revisited.
CVPR
Michal Shlapentokh-Rothman, Ansel Blume, Yao Xiao, Yuqun Wu, Sethuraman TV, Heyi Tao, Jae Yong Lee, Wilfredo Torres, Yu-Xiong Wang, Derek Hoiem
2024 J jnl
Region-Based Representations Revisited.
CoRR
Michal Shlapentokh-Rothman, Ansel Blume, Yao Xiao, Yuqun Wu, Sethuraman TV, Heyi Tao, Jae Yong Lee, Wilfredo Torres, Yu-Xiong Wang, Derek Hoiem
2024 A* conf
Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformers.
NeurIPS
Kai Yan, Alexander G. Schwing, Yu-Xiong Wang
2024 J jnl
Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformers.
CoRR
Kai Yan, Alexander G. Schwing, Yu-Xiong Wang
2024 A* conf
Robust Model-Based Optimization for Challenging Fitness Landscapes.
ICLR
Saba Ghaffari, Ehsan Saleh, Alexander G. Schwing, Yu-Xiong Wang, Martin D. Burke, Saurabh Sinha
2024 A* conf
SOHES: Self-supervised Open-world Hierarchical Entity Segmentation.
ICLR
Shengcao Cao, Jiuxiang Gu, Jason Kuen, Hao Tan, Ruiyi Zhang, Handong Zhao, Ani Nenkova, Liangyan Gui, Tong Sun, Yu-Xiong Wang
2024 J jnl
SOHES: Self-supervised Open-world Hierarchical Entity Segmentation.
CoRR
Shengcao Cao, Jiuxiang Gu, Jason Kuen, Hao Tan, Ruiyi Zhang, Handong Zhao, Ani Nenkova, Liang-Yan Gui, Tong Sun, Yu-Xiong Wang
2024 A* conf
SceneCraft: Layout-Guided 3D Scene Generation.
NeurIPS
Xiuyu Yang, Yunze Man, Jun-Kun Chen, Yu-Xiong Wang
2024 J jnl
SceneCraft: Layout-Guided 3D Scene Generation.
CoRR
Xiuyu Yang, Yunze Man, Jun-Kun Chen, Yu-Xiong Wang
2024 — conf
Separate-and-Enhance: Compositional Finetuning for Text-to-Image Diffusion Models.
SIGGRAPH (Conference Paper Track)
Zhipeng Bao, Yijun Li, Krishna Kumar Singh, Yu-Xiong Wang, Martial Hebert
2024 A* conf
Situational Awareness Matters in 3D Vision Language Reasoning.
CVPR
Yunze Man, Liang-Yan Gui, Yu-Xiong Wang
2024 J jnl
Situational Awareness Matters in 3D Vision Language Reasoning.
CoRR
Yunze Man, Liang-Yan Gui, Yu-Xiong Wang
2024 J jnl
Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning.
CoRR
Yuxiang Lu, Shengcao Cao, Yu-Xiong Wang
2024 A* conf
TAMM: TriAdapter Multi-Modal Learning for 3D Shape Understanding.
CVPR
Zhihao Zhang, Shengcao Cao, Yu-Xiong Wang
2024 J jnl
TAMM: TriAdapter Multi-Modal Learning for 3D Shape Understanding.
CoRR
Zhihao Zhang, Shengcao Cao, Yu-Xiong Wang
2024 — conf
The Second Visual Object Tracking Segmentation VOTS2024 Challenge Results.
ECCV Workshops (7)
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 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 J jnl
ViCA-NeRF: View-Consistency-Aware 3D Editing of Neural Radiance Fields.
CoRR
Jiahua Dong, Yu-Xiong Wang
2023 A* conf
A Simple Solution for Offline Imitation from Observations and Examples with Possibly Incomplete Trajectories.
NeurIPS
Kai Yan, Alexander G. Schwing, Yu-Xiong Wang
2023 J jnl
A Simple Solution for Offline Imitation from Observations and Examples with Possibly Incomplete Trajectories.
CoRR
Kai Yan, Alexander G. Schwing, Yu-Xiong Wang
2023 J jnl
Aligning Large Multimodal Models with Factually Augmented RLHF.
CoRR
Zhiqing Sun, Sheng Shen, Shengcao Cao, Haotian Liu, Chunyuan Li, Yikang Shen, Chuang Gan, Liang-Yan Gui, Yu-Xiong Wang, Yiming Yang, Kurt Keutzer, Trevor Darrell
2023 — conf
An Empirical Analysis of Range for 3D Object Detection.
ICCV (Workshops)
Neehar Peri, Mengtian Li, Benjamin Wilson, Yu-Xiong Wang, James Hays, Deva Ramanan
2023 J jnl
An Empirical Analysis of Range for 3D Object Detection.
CoRR
Neehar Peri, Mengtian Li, Benjamin Wilson, Yu-Xiong Wang, James Hays, Deva Ramanan
2023 A* conf
BEV-Guided Multi-Modality Fusion for Driving Perception.
CVPR
Yunze Man, Liang-Yan Gui, Yu-Xiong Wang
2023 A conf
Beyond RGB: Scene-Property Synthesis with Neural Radiance Fields.
WACV
Mingtong Zhang, Shuhong Zheng, Zhipeng Bao, Martial Hebert, Yu-Xiong Wang
2023 A* conf
Contrastive Learning Relies More on Spatial Inductive Bias Than Supervised Learning: An Empirical Study.
ICCV
Yuanyi Zhong, Haoran Tang, Jun-Kun Chen, Yu-Xiong Wang
2023 A* conf
Contrastive Mean Teacher for Domain Adaptive Object Detectors.
CVPR
Shengcao Cao, Dhiraj Joshi, Liang-Yan Gui, Yu-Xiong Wang
2023 J jnl
Contrastive Mean Teacher for Domain Adaptive Object Detectors.
CoRR
Shengcao Cao, Dhiraj Joshi, Liang-Yan Gui, Yu-Xiong Wang
2023 A* conf
Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models.
NeurIPS
Andy Zhou, Jindong Wang, Yu-Xiong Wang, Haohan Wang
2023 J jnl
Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models.
CoRR
Andy Zhou, Jindong Wang, Yu-Xiong Wang, Haohan Wang
2023 J jnl
Diverse Human Motion Prediction Guided by Multi-Level Spatial-Temporal Anchors.
CoRR
Sirui Xu, Yu-Xiong Wang, Liang-Yan Gui
2023 A conf
Do Pre-trained Models Benefit Equally in Continual Learning?
WACV
Kuan-Ying Lee, Yuanyi Zhong, Yu-Xiong Wang
2023 A conf
DualCross: Cross-Modality Cross-Domain Adaptation for Monocular BEV Perception.
IROS
Yunze Man, Liangyan Gui, Yu-Xiong Wang
2023 J jnl
DualCross: Cross-Modality Cross-Domain Adaptation for Monocular BEV Perception.
CoRR
Yunze Man, Liang-Yan Gui, Yu-Xiong Wang
2023 J jnl
Frozen Transformers in Language Models Are Effective Visual Encoder Layers.
CoRR
Ziqi Pang, Ziyang Xie, Yunze Man, Yu-Xiong Wang
2023 A* conf
HASSOD: Hierarchical Adaptive Self-Supervised Object Detection.
NeurIPS
Shengcao Cao, Dhiraj Joshi, Liangyan Gui, Yu-Xiong Wang
2023 A* conf
Improving Equivariance in State-of-the-Art Supervised Depth and Normal Predictors.
ICCV
Yuanyi Zhong, Anand Bhattad, Yu-Xiong Wang, David A. Forsyth
2023 J jnl
Improving Equivariance in State-of-the-Art Supervised Depth and Normal Predictors.
CoRR
Yuanyi Zhong, Anand Bhattad, Yu-Xiong Wang, David A. Forsyth
2023 A* conf
InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion.
ICCV
Sirui Xu, Zhengyuan Li, Yu-Xiong Wang, Liang-Yan Gui
2023 J jnl
InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion.
CoRR
Sirui Xu, Zhengyuan Li, Yu-Xiong Wang, Liang-Yan Gui
2023 J jnl
Is Pre-training Truly Better Than Meta-Learning?
CoRR
Brando Miranda, Patrick Yu, Saumya Goyal, Yu-Xiong Wang, Sanmi Koyejo
2023 J jnl
Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models.
CoRR
Andy Zhou, Kai Yan, Michal Shlapentokh-Rothman, Haohan Wang, Yu-Xiong Wang
2023 A* conf
Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation.
ICML
Shengcao Cao, Mengtian Li, James Hays, Deva Ramanan, Yu-Xiong Wang, Liangyan Gui
2023 J jnl
Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation.
CoRR
Shengcao Cao, Mengtian Li, James Hays, Deva Ramanan, Yu-Xiong Wang, Liang-Yan Gui
2023 A* conf
MV-Map: Offboard HD Map Generation with Multi-view Consistency.
ICCV
Ziyang Xie, Ziqi Pang, Yu-Xiong Wang
2023 J jnl
MV-Map: Offboard HD-Map Generation with Multi-view Consistency.
CoRR
Ziyang Xie, Ziqi Pang, Yu-Xiong Wang
2023 A* conf
Multi-task View Synthesis with Neural Radiance Fields.
ICCV
Shuhong Zheng, Zhipeng Bao, Martial Hebert, Yu-Xiong Wang
2023 J jnl
Multi-task View Synthesis with Neural Radiance Fields.
CoRR
Shuhong Zheng, Zhipeng Bao, Martial Hebert, Yu-Xiong Wang
2023 A* conf
NeuralEditor: Editing Neural Radiance Fields via Manipulating Point Clouds.
CVPR
Jun-Kun Chen, Jipeng Lyu, Yu-Xiong Wang
2023 J jnl
NeuralEditor: Editing Neural Radiance Fields via Manipulating Point Clouds.
CoRR
Jun-Kun Chen, Jipeng Lyu, Yu-Xiong Wang
2023 A* conf
Object Discovery from Motion-Guided Tokens.
CVPR
Zhipeng Bao, Pavel Tokmakov, Yu-Xiong Wang, Adrien Gaidon, Martial Hebert
2023 J jnl
Object Discovery from Motion-Guided Tokens.
CoRR
Zhipeng Bao, Pavel Tokmakov, Yu-Xiong Wang, Adrien Gaidon, Martial Hebert
2023 J jnl
Offline Imitation from Observation via Primal Wasserstein State Occupancy Matching.
CoRR
Kai Yan, Alexander G. Schwing, Yu-Xiong Wang
2023 J jnl
Property-Guided Generative Modelling for Robust Model-Based Design with Imbalanced Data.
CoRR
Saba Ghaffari, Ehsan Saleh, Alexander G. Schwing, Yu-Xiong Wang, Martin D. Burke, Saurabh Sinha
2023 A conf
Revisiting Deformable Convolution for Depth Completion.
IROS
Xinglong Sun, Jean Ponce, Yu-Xiong Wang
2023 J jnl
Revisiting Deformable Convolution for Depth Completion.
CoRR
Xinglong Sun, Jean Ponce, Yu-Xiong Wang
2023 J jnl
Semi-Supervised Object Detection in the Open World.
CoRR
Garvita Allabadi, Ana Lucic, Peter Pao-Huang, Yu-Xiong Wang, Vikram S. Adve
2023 J jnl
Separate-and-Enhance: Compositional Finetuning for Text2Image Diffusion Models.
CoRR
Zhipeng Bao, Yijun Li, Krishna Kumar Singh, Yu-Xiong Wang, Martial Hebert
2023 A* conf
Standing Between Past and Future: Spatio-Temporal Modeling for Multi-Camera 3D Multi-Object Tracking.
CVPR
Ziqi Pang, Jie Li, Pavel Tokmakov, Dian Chen, Sergey Zagoruyko, Yu-Xiong Wang
2023 J jnl
Standing Between Past and Future: Spatio-Temporal Modeling for Multi-Camera 3D Multi-Object Tracking.
CoRR
Ziqi Pang, Jie Li, Pavel Tokmakov, Dian Chen, Sergey Zagoruyko, Yu-Xiong Wang
2023 A* conf
Stochastic Multi-Person 3D Motion Forecasting.
ICLR
Sirui Xu, Yu-Xiong Wang, Liangyan Gui
2023 J jnl
Stochastic Multi-Person 3D Motion Forecasting.
CoRR
Sirui Xu, Yu-Xiong Wang, Liang-Yan Gui
2023 A conf
Streaming Motion Forecasting for Autonomous Driving.
IROS
Ziqi Pang, Deva Ramanan, Mengtian Li, Yu-Xiong Wang
2023 J jnl
Streaming Motion Forecasting for Autonomous Driving.
CoRR
Ziqi Pang, Deva Ramanan, Mengtian Li, Yu-Xiong Wang
2023 A* conf
ViCA-NeRF: View-Consistency-Aware 3D Editing of Neural Radiance Fields.
NeurIPS
Jiahua Dong, Yu-Xiong Wang
2023 A* conf
Video State-Changing Object Segmentation.
ICCV
Jiangwei Yu, Xiang Li, Xinran Zhao, Hongming Zhang, Yu-Xiong Wang
2023 A* conf
YouTubePD: A Multimodal Benchmark for Parkinson's Disease Analysis.
NeurIPS
Andy Zhou, Samuel Li, Pranav Sriram, Xiang Li, Jiahua Dong, Ansh Sharma, Yuanyi Zhong, Shirui Luo, Volodymyr V. Kindratenko, George Heintz, Christopher M. Zallek, Yu-Xiong Wang
2022 J jnl
Beyond RGB: Scene-Property Synthesis with Neural Radiance Fields.
CoRR
Mingtong Zhang, Shuhong Zheng, Zhipeng Bao, Martial Hebert, Yu-Xiong Wang
2022 A* conf
CEIP: Combining Explicit and Implicit Priors for Reinforcement Learning with Demonstrations.
NeurIPS
Kai Yan, Alexander G. Schwing, Yu-Xiong Wang
2022 J jnl
CEIP: Combining Explicit and Implicit Priors for Reinforcement Learning with Demonstrations.
CoRR
Kai Yan, Alexander G. Schwing, Yu-Xiong Wang
2022 A* conf
Continual Learning with Evolving Class Ontologies.
NeurIPS
Zhiqiu Lin, Deepak Pathak, Yu-Xiong Wang, Deva Ramanan, Shu Kong
2022 A* conf
DIVeR: Real-time and Accurate Neural Radiance Fields with Deterministic Integration for Volume Rendering.
CVPR
Liwen Wu, Jae Yong Lee, Anand Bhattad, Yu-Xiong Wang, David A. Forsyth
2022 A* conf
Discovering Objects that Can Move.
CVPR
Zhipeng Bao, Pavel Tokmakov, Allan Jabri, Yu-Xiong Wang, Adrien Gaidon, Martial Hebert
2022 J jnl
Discovering Objects that Can Move.
CoRR
Zhipeng Bao, Pavel Tokmakov, Allan Jabri, Yu-Xiong Wang, Adrien Gaidon, Martial Hebert
2022 — conf
Diverse Human Motion Prediction Guided by Multi-level Spatial-Temporal Anchors.
ECCV (22)
Sirui Xu, Yu-Xiong Wang, Liang-Yan Gui
2022 J jnl
Do Pre-trained Models Benefit Equally in Continual Learning?
CoRR
Kuan-Ying Lee, Yuanyi Zhong, Yu-Xiong Wang
2022 A* conf
Embracing Single Stride 3D Object Detector with Sparse Transformer.
CVPR
Lue Fan, Ziqi Pang, Tianyuan Zhang, Yu-Xiong Wang, Hang Zhao, Feng Wang, Naiyan Wang, Zhaoxiang Zhang
2022 A* conf
Generalized Few-Shot Node Classification.
ICDM
Zhe Xu, Kaize Ding, Yu-Xiong Wang, Huan Liu, Hanghang Tong
2022 A* conf
Generative Modeling for Multi-task Visual Learning.
ICML
Zhipeng Bao, Martial Hebert, Yu-Xiong Wang
2022 J jnl
Is Self-Supervised Learning More Robust Than Supervised Learning?
CoRR
Yuanyi Zhong, Haoran Tang, Jun-Kun Chen, Jian Peng, Yu-Xiong Wang
2022 J jnl
Learning with an Evolving Class Ontology.
CoRR
Zhiqiu Lin, Deepak Pathak, Yu-Xiong Wang, Deva Ramanan, Shu Kong
2022 A* conf
Long- Tailed Recognition via Weight Balancing.
CVPR
Shaden Alshammari, Yu-Xiong Wang, Deva Ramanan, Shu Kong
2022 J jnl
Long-Tailed Recognition via Weight Balancing.
CoRR
Shaden Alshammari, Yu-Xiong Wang, Deva Ramanan, Shu Kong
2022 A* conf
On the Importance of Firth Bias Reduction in Few-Shot Classification.
ICLR
Saba Ghaffari, Ehsan Saleh, David A. Forsyth, Yu-Xiong Wang
2022 — conf
PointTree: Transformation-Robust Point Cloud Encoder with Relaxed K-D Trees.
ECCV (3)
Jun-Kun Chen, Yu-Xiong Wang
2022 J jnl
PointTree: Transformation-Robust Point Cloud Encoder with Relaxed K-D Trees.
CoRR
Jun-Kun Chen, Yu-Xiong Wang
2022 J jnl
The Curse of Low Task Diversity: On the Failure of Transfer Learning to Outperform MAML and Their Empirical Equivalence.
CoRR
Brando Miranda, Patrick Yu, Yu-Xiong Wang, Sanmi Koyejo
2021 A* conf
Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View Synthesis.
ICLR
Zhipeng Bao, Yu-Xiong Wang, Martial Hebert
2021 A* conf
DAP: Detection-Aware Pre-Training With Weak Supervision.
CVPR
Yuanyi Zhong, Jianfeng Wang, Lijuan Wang, Jian Peng, Yu-Xiong Wang, Lei Zhang
2021 J jnl
DAP: Detection-Aware Pre-training with Weak Supervision.
CoRR
Yuanyi Zhong, Jianfeng Wang, Lijuan Wang, Jian Peng, Yu-Xiong Wang, Lei Zhang
2021 J jnl
DIVeR: Real-time and Accurate Neural Radiance Fields with Deterministic Integration for Volume Rendering.
CoRR
Liwen Wu, Jae Yong Lee, Anand Bhattad, Yu-Xiong Wang, David A. Forsyth
2021 J jnl
Does MAML Only Work via Feature Re-use? A Data Centric Perspective.
CoRR
Brando Miranda, Yu-Xiong Wang, Sanmi Koyejo
2021 J jnl
Embracing Single Stride 3D Object Detector with Sparse Transformer.
CoRR
Lue Fan, Ziqi Pang, Tianyuan Zhang, Yu-Xiong Wang, Hang Zhao, Feng Wang, Naiyan Wang, Zhaoxiang Zhang
2021 J jnl
Generative Modeling for Multi-task Visual Learning.
CoRR
Zhipeng Bao, Martial Hebert, Yu-Xiong Wang
2021 A* conf
Hallucination Improves Few-Shot Object Detection.
CVPR
Weilin Zhang, Yu-Xiong Wang
2021 J jnl
Hallucination Improves Few-Shot Object Detection.
CoRR
Weilin Zhang, Yu-Xiong Wang
2021 A* conf
Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection.
ICML
Nadine Chang, Zhiding Yu, Yu-Xiong Wang, Animashree Anandkumar, Sanja Fidler, José M. Álvarez
2021 J jnl
Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection.
CoRR
Nadine Chang, Zhiding Yu, Yu-Xiong Wang, Anima Anandkumar, Sanja Fidler, José M. Álvarez
2021 A* conf
Learning to Hallucinate Examples from Extrinsic and Intrinsic Supervision.
ICCV
Liangke Gui, Adrien Bardes, Ruslan Salakhutdinov, Alexander Hauptmann, Martial Hebert, Yu-Xiong Wang
2021 A* conf
On the Importance of Distractors for Few-Shot Classification.
ICCV
Rajshekhar Das, Yu-Xiong Wang, José M. F. Moura
2021 J jnl
On the Importance of Distractors for Few-Shot Classification.
CoRR
Rajshekhar Das, Yu-Xiong Wang, José M. F. Moura
2021 J jnl
On the Importance of Firth Bias Reduction in Few-Shot Classification.
CoRR
Saba Ghaffari, Ehsan Saleh, David A. Forsyth, Yu-Xiong Wang
2021 A* conf
Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation.
ICCV
Yuanyi Zhong, Bodi Yuan, Hong Wu, Zhiqiang Yuan, Jian Peng, Yu-Xiong Wang
2021 J jnl
Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation.
CoRR
Yuanyi Zhong, Bodi Yuan, Hong Wu, Zhiqiang Yuan, Jian Peng, Yu-Xiong Wang
2021 J jnl
SIRfyN: Single Image Relighting from your Neighbors.
CoRR
David A. Forsyth, Anand Bhattad, Pranav Asthana, Yuanyi Zhong, Yu-Xiong Wang
2021 — conf
Unlocking the Full Potential of Small Data With Diverse Supervision.
CVPR Workshops
Ziqi Pang, Zhiyuan Hu, Pavel Tokmakov, Yu-Xiong Wang, Martial Hebert
2020 J jnl
Alpha Net: Adaptation with Composition in Classifier Space.
CoRR
Nadine Chang, Jayanth Koushik, Michael J. Tarr, Martial Hebert, Yu-Xiong Wang
2020 J jnl
Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View Synthesis.
CoRR
Zhipeng Bao, Yu-Xiong Wang, Martial Hebert
2020 J jnl
Cooperating RPN's Improve Few-Shot Object Detection.
CoRR
Weilin Zhang, Yu-Xiong Wang, David A. Forsyth
2020 J jnl
Few-Shot Learning with Intra-Class Knowledge Transfer.
CoRR
Vivek Roy, Yan Xu, Yu-Xiong Wang, Kris Kitani, Ruslan Salakhutdinov, Martial Hebert
2020 J jnl
Towards Streaming Image Understanding.
CoRR
Mengtian Li, Yu-Xiong Wang, Deva Ramanan
2020 — conf
Towards Streaming Perception.
ECCV (2)
Mengtian Li, Yu-Xiong Wang, Deva Ramanan
2019 A* conf
Embodied One-Shot Video Recognition: Learning from Actions of a Virtual Embodied Agent.
ACM Multimedia
Yuqian Fu, Chengrong Wang, Yanwei Fu, Yu-Xiong Wang, Cong Bai, Xiangyang Xue, Yu-Gang Jiang
2019 J jnl
Growing a Brain: Fine-Tuning by Increasing Model Capacity.
CoRR
Yu-Xiong Wang, Deva Ramanan, Martial Hebert
2019 A* conf
Image Deformation Meta-Networks for One-Shot Learning.
CVPR
Zitian Chen, Yanwei Fu, Yu-Xiong Wang, Lin Ma, Wei Liu, Martial Hebert
2019 J jnl
Image Deformation Meta-Networks for One-Shot Learning.
CoRR
Zitian Chen, Yanwei Fu, Yu-Xiong Wang, Lin Ma, Wei Liu, Martial Hebert
2019 A* conf
Learning Compositional Representations for Few-Shot Recognition.
ICCV
Pavel Tokmakov, Yu-Xiong Wang, Martial Hebert
2019 J jnl
Learning Generalizable Representations via Diverse Supervision.
CoRR
Ziqi Pang, Zhiyuan Hu, Pavel Tokmakov, Yu-Xiong Wang, Martial Hebert
2019 A* conf
Meta-Learning to Detect Rare Objects.
ICCV
Yu-Xiong Wang, Deva Ramanan, Martial Hebert
2018 — conf
Adversarial Geometry-Aware Human Motion Prediction.
ECCV (4)
Liang-Yan Gui, Yu-Xiong Wang, Xiaodan Liang, José M. F. Moura
2018 A conf
Factorized Convolutional Networks: Unsupervised Fine-Tuning for Image Clustering.
WACV
Liang-Yan Gui, Liangke Gui, Yu-Xiong Wang, Louis-Philippe Morency, José M. F. Moura
2018 — conf
Few-Shot Human Motion Prediction via Meta-learning.
ECCV (8)
Liang-Yan Gui, Yu-Xiong Wang, Deva Ramanan, José M. F. Moura
2018 J jnl
Learning Compositional Representations for Few-Shot Recognition.
CoRR
Pavel Tokmakov, Yu-Xiong Wang, Martial Hebert
2018 — —
Learning to Learn for Small Sample Visual Recognition.
Yu-Xiong Wang
2018 A* conf
Low-Shot Learning From Imaginary Data.
CVPR
Yu-Xiong Wang, Ross B. Girshick, Martial Hebert, Bharath Hariharan
2018 J jnl
Low-Shot Learning from Imaginary Data.
CoRR
Yu-Xiong Wang, Ross B. Girshick, Martial Hebert, Bharath Hariharan
2018 A conf
Teaching Robots to Predict Human Motion.
IROS
Liang-Yan Gui, Kevin Zhang, Yu-Xiong Wang, Xiaodan Liang, José M. F. Moura, Manuela Veloso
2017 J jnl
Class specific centralized dictionary learning for face recognition.
Multim. Tools Appl.
Bao-Di Liu, Liangke Gui, Yuting Wang, Yu-Xiong Wang, Bin Shen, Xue Li, Yanjiang Wang
2017 — conf
Few-Shot Hash Learning for Image Retrieval.
ICCV Workshops
Liangke Gui, Yu-Xiong Wang, Martial Hebert
2017 A* conf
Growing a Brain: Fine-Tuning by Increasing Model Capacity.
CVPR
Yu-Xiong Wang, Deva Ramanan, Martial Hebert
2017 — conf
Learning to Model the Tail.
NIPS
Yu-Xiong Wang, Deva Ramanan, Martial Hebert
2016 J jnl
Blockwise coordinate descent schemes for efficient and effective dictionary learning.
Neurocomputing
Bao-Di Liu, Yu-Xiong Wang, Bin Shen, Xue Li, Yu-Jin Zhang, Yanjiang Wang
2016 — conf
Class specific discriminant dictionary learning with kernels for face recognition.
IMAWM
Bao-Di Liu, Yuting Wang, Liangke Gui, Yu-Xiong Wang, Bin Shen, Xue Li, Yan-Jiang Wang
2016 J jnl
Face recognition using class specific dictionary learning for sparse representation and collaborative representation.
Neurocomputing
Bao-Di Liu, Bin Shen, Liangke Gui, Yu-Xiong Wang, Xue Li, Fei Yan, Yanjiang Wang
2016 A* conf
Learning by Transferring from Unsupervised Universal Sources.
AAAI
Yu-Xiong Wang, Martial Hebert
2016 — conf
Learning from Small Sample Sets by Combining Unsupervised Meta-Training with CNNs.
NIPS
Yu-Xiong Wang, Martial Hebert
2016 — conf
Learning to Learn: Model Regression Networks for Easy Small Sample Learning.
ECCV (6)
Yu-Xiong Wang, Martial Hebert
2015 A* conf
Model recommendation: Generating object detectors from few samples.
CVPR
Yu-Xiong Wang, Martial Hebert
2014 Misc conf
Blockwise coordinate descent schemes for sparse representation.
ICASSP
Bao-Di Liu, Yu-Xiong Wang, Bin Shen, Yu-Jin Zhang, Yanjiang Wang
2014 — conf
Class specific dictionary learning for face recognition.
SPAC
Bao-Di Liu, Bin Shen, Yu-Xiong Wang
2014 B conf
Class specific subspace learning for collaborative representation.
SMC
Bao-Di Liu, Bin Shen, Yu-Xiong Wang, Weifeng Liu, Yanjiang Wang
2014 — conf
Self-explanatory Sparse Representation for Image Classification.
ECCV (2)
Bao-Di Liu, Yu-Xiong Wang, Bin Shen, Yu-Jin Zhang, Martial Hebert
2013 J jnl
Learning dictionary on manifolds for image classification.
Pattern Recognit.
Bao-Di Liu, Yu-Xiong Wang, Yu-Jin Zhang, Bin Shen
2013 J jnl
Nonnegative Matrix Factorization: A Comprehensive Review.
IEEE Trans. Knowl. Data Eng.
Yu-Xiong Wang, Yu-Jin Zhang
2013 B conf
Self-Explanatory Convex Sparse Representation for Image Classification.
SMC
Bao-Di Liu, Yu-Xiong Wang, Bin Shen, Yu-Jin Zhang, Yanjiang Wang, Weifeng Liu
2012 Misc conf
Discriminant sparse coding for image classification.
ICASSP
Bao-Di Liu, Yu-Xiong Wang, Yu-Jin Zhang, Yin Zheng
2012 Misc conf
Neighborhood Preserving Non-negative Tensor Factorization for image representation.
ICASSP
Yu-Xiong Wang, Liang-Yan Gui, Yu-Jin Zhang
2011 B conf
Image inpainting via Weighted Sparse Non-negative Matrix Factorization.
ICIP
Yu-Xiong Wang, Yu-Jin Zhang