Yu-Xiong Wang

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 137

Top Venues

Publications

Shengcao Cao, Jiuxiang Gu, Jason Kuen, Hao Tan, Ruiyi Zhang, Handong Zhao, Ani Nenkova, Liangyan Gui, Tong Sun, Yu-Xiong Wang
SOHES: Self-supervised Open-world Hierarchical Entity Segmentation. ICLR (2024)
Shengcao Cao, Jiuxiang Gu, Jason Kuen, Hao Tan, Ruiyi Zhang, Handong Zhao, Ani Nenkova, Liang-Yan Gui, Tong Sun, Yu-Xiong Wang
SOHES: Self-supervised Open-world Hierarchical Entity Segmentation. CoRR (2024)
Shengcao Cao, Dhiraj Joshi, Liang-Yan Gui, Yu-Xiong Wang
HASSOD: Hierarchical Adaptive Self-Supervised Object Detection. CoRR (2024)
Junbao Zhou, Ziqi Pang, Yu-Xiong Wang
RMem: Restricted Memory Banks Improve Video Object Segmentation. CoRR (2024)
Saba Ghaffari, Ehsan Saleh, Alexander G. Schwing, Yu-Xiong Wang, Martin D. Burke, Saurabh Sinha
Robust Model-Based Optimization for Challenging Fitness Landscapes. ICLR (2024)
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
Aligning Large Multimodal Models with Factually Augmented RLHF. ACL (Findings) (2024)
Yunze Man, Liang-Yan Gui, Yu-Xiong Wang
Situational Awareness Matters in 3D Vision Language Reasoning. CoRR (2024)
Ziqi Pang, Ziyang Xie, Yunze Man, Yu-Xiong Wang
Frozen Transformers in Language Models Are Effective Visual Encoder Layers. ICLR (2024)
Qianlan Yang, Yu-Xiong Wang
ATraDiff: Accelerating Online Reinforcement Learning with Imaginary Trajectories. CoRR (2024)
Jun-Kun Chen, Samuel Rota Bulò, Norman Müller, Lorenzo Porzi, Peter Kontschieder, Yu-Xiong Wang
ConsistDreamer: 3D-Consistent 2D Diffusion for High-Fidelity Scene Editing. CoRR (2024)
Zhe Xu, Kaize Ding, Yu-Xiong Wang, Huan Liu, Hanghang Tong
Generalized few-shot node classification: toward an uncertainty-based solution. Knowl. Inf. Syst. 66 (2) (2024)
Jiahua Dong, Yu-Xiong Wang
ViCA-NeRF: View-Consistency-Aware 3D Editing of Neural Radiance Fields. CoRR (2024)
Zhihao Zhang, Shengcao Cao, Yu-Xiong Wang
TAMM: TriAdapter Multi-Modal Learning for 3D Shape Understanding. CoRR (2024)
Yunze Man, Yichen Sheng, Jianming Zhang, Liang-Yan Gui, Yu-Xiong Wang
Floating No More: Object-Ground Reconstruction from a Single Image. CoRR (2024)
Michal Shlapentokh-Rothman, Ansel Blume, Yao Xiao, Yuqun Wu, Sethuraman TV, Heyi Tao, Jae Yong Lee, Wilfredo Torres, Yu-Xiong Wang, Derek Hoiem
Region-Based Representations Revisited. CoRR (2024)
Zhipeng Bao, Yijun Li, Krishna Kumar Singh, Yu-Xiong Wang, Martial Hebert
Separate-and-Enhance: Compositional Finetuning for Text-to-Image Diffusion Models. SIGGRAPH (Conference Paper Track) (2024)
Sirui Xu, Ziyin Wang, Yu-Xiong Wang, Liang-Yan Gui
InterDreamer: Zero-Shot Text to 3D Dynamic Human-Object Interaction. CoRR (2024)
Linzhan Mou, Jun-Kun Chen, Yu-Xiong Wang
Instruct 4D-to-4D: Editing 4D Scenes as Pseudo-3D Scenes Using 2D Diffusion. CoRR (2024)
Zhipeng Bao, Pavel Tokmakov, Yu-Xiong Wang, Adrien Gaidon, Martial Hebert
Object Discovery from Motion-Guided Tokens. CoRR (2023)
Sirui Xu, Zhengyuan Li, Yu-Xiong Wang, Liang-Yan Gui
InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion. ICCV (2023)
Jiahua Dong, Yu-Xiong Wang
ViCA-NeRF: View-Consistency-Aware 3D Editing of Neural Radiance Fields. NeurIPS (2023)
Shengcao Cao, Mengtian Li, James Hays, Deva Ramanan, Yu-Xiong Wang, Liang-Yan Gui
Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation. CoRR (2023)
Shengcao Cao, Dhiraj Joshi, Liang-Yan Gui, Yu-Xiong Wang
Contrastive Mean Teacher for Domain Adaptive Object Detectors. CVPR (2023)
Ziqi Pang, Jie Li, Pavel Tokmakov, Dian Chen, Sergey Zagoruyko, Yu-Xiong Wang
Standing Between Past and Future: Spatio-Temporal Modeling for Multi-Camera 3D Multi-Object Tracking. CVPR (2023)
Zhipeng Bao, Yijun Li, Krishna Kumar Singh, Yu-Xiong Wang, Martial Hebert
Separate-and-Enhance: Compositional Finetuning for Text2Image Diffusion Models. CoRR (2023)
Neehar Peri, Mengtian Li, Benjamin Wilson, Yu-Xiong Wang, James Hays, Deva Ramanan
An Empirical Analysis of Range for 3D Object Detection. ICCV (Workshops) (2023)
Yunze Man, Liangyan Gui, Yu-Xiong Wang
DualCross: Cross-Modality Cross-Domain Adaptation for Monocular BEV Perception. IROS (2023)
Mingtong Zhang, Shuhong Zheng, Zhipeng Bao, Martial Hebert, Yu-Xiong Wang
Beyond RGB: Scene-Property Synthesis with Neural Radiance Fields. WACV (2023)
Xinglong Sun, Jean Ponce, Yu-Xiong Wang
Revisiting Deformable Convolution for Depth Completion. CoRR (2023)
Yuanyi Zhong, Anand Bhattad, Yu-Xiong Wang, David A. Forsyth
Improving Equivariance in State-of-the-Art Supervised Depth and Normal Predictors. CoRR (2023)
Garvita Allabadi, Ana Lucic, Peter Pao-Huang, Yu-Xiong Wang, Vikram S. Adve
Semi-Supervised Object Detection in the Open World. CoRR (2023)
Saba Ghaffari, Ehsan Saleh, Alexander G. Schwing, Yu-Xiong Wang, Martin D. Burke, Saurabh Sinha
Property-Guided Generative Modelling for Robust Model-Based Design with Imbalanced Data. CoRR (2023)
Ziyang Xie, Ziqi Pang, Yu-Xiong Wang
MV-Map: Offboard HD Map Generation with Multi-view Consistency. ICCV (2023)
Jun-Kun Chen, Jipeng Lyu, Yu-Xiong Wang
NeuralEditor: Editing Neural Radiance Fields via Manipulating Point Clouds. CoRR (2023)
Sirui Xu, Yu-Xiong Wang, Liang-Yan Gui
Stochastic Multi-Person 3D Motion Forecasting. CoRR (2023)
Zhipeng Bao, Pavel Tokmakov, Yu-Xiong Wang, Adrien Gaidon, Martial Hebert
Object Discovery from Motion-Guided Tokens. CVPR (2023)
Andy Zhou, Samuel Li, Pranav Sriram, Xiang Li, Jiahua Dong, Ansh Sharma, Yuanyi Zhong, Shirui Luo, Volodymyr V. Kindratenko, George Heintz, Christopher Zallek, Yu-Xiong Wang
YouTubePD: A Multimodal Benchmark for Parkinson's Disease Analysis. NeurIPS (2023)
Shuhong Zheng, Zhipeng Bao, Martial Hebert, Yu-Xiong Wang
Multi-task View Synthesis with Neural Radiance Fields. ICCV (2023)
Kai Yan, Alexander G. Schwing, Yu-Xiong Wang
A Simple Solution for Offline Imitation from Observations and Examples with Possibly Incomplete Trajectories. CoRR (2023)
Sirui Xu, Yu-Xiong Wang, Liangyan Gui
Stochastic Multi-Person 3D Motion Forecasting. ICLR (2023)
Jiangwei Yu, Xiang Li, Xinran Zhao, Hongming Zhang, Yu-Xiong Wang
Video State-Changing Object Segmentation. ICCV (2023)
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
Aligning Large Multimodal Models with Factually Augmented RLHF. CoRR (2023)
Yunze Man, Liang-Yan Gui, Yu-Xiong Wang
DualCross: Cross-Modality Cross-Domain Adaptation for Monocular BEV Perception. CoRR (2023)
Ziqi Pang, Deva Ramanan, Mengtian Li, Yu-Xiong Wang
Streaming Motion Forecasting for Autonomous Driving. IROS (2023)
Shengcao Cao, Dhiraj Joshi, Liang-Yan Gui, Yu-Xiong Wang
Contrastive Mean Teacher for Domain Adaptive Object Detectors. CoRR (2023)
Shuhong Zheng, Zhipeng Bao, Martial Hebert, Yu-Xiong Wang
Multi-task View Synthesis with Neural Radiance Fields. CoRR (2023)
Shengcao Cao, Dhiraj Joshi, Liangyan Gui, Yu-Xiong Wang
HASSOD: Hierarchical Adaptive Self-Supervised Object Detection. NeurIPS (2023)
Andy Zhou, Jindong Wang, Yu-Xiong Wang, Haohan Wang
Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models. NeurIPS (2023)
Ziqi Pang, Jie Li, Pavel Tokmakov, Dian Chen, Sergey Zagoruyko, Yu-Xiong Wang
Standing Between Past and Future: Spatio-Temporal Modeling for Multi-Camera 3D Multi-Object Tracking. CoRR (2023)
Sirui Xu, Yu-Xiong Wang, Liang-Yan Gui
Diverse Human Motion Prediction Guided by Multi-Level Spatial-Temporal Anchors. CoRR (2023)
Andy Zhou, Kai Yan, Michal Shlapentokh-Rothman, Haohan Wang, Yu-Xiong Wang
Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models. CoRR (2023)
Ziqi Pang, Ziyang Xie, Yunze Man, Yu-Xiong Wang
Frozen Transformers in Language Models Are Effective Visual Encoder Layers. CoRR (2023)
Andy Zhou, Jindong Wang, Yu-Xiong Wang, Haohan Wang
Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models. CoRR (2023)
Neehar Peri, Mengtian Li, Benjamin Wilson, Yu-Xiong Wang, James Hays, Deva Ramanan
An Empirical Analysis of Range for 3D Object Detection. CoRR (2023)
Kai Yan, Alexander G. Schwing, Yu-Xiong Wang
Offline Imitation from Observation via Primal Wasserstein State Occupancy Matching. CoRR (2023)
Yuanyi Zhong, Haoran Tang, Jun-Kun Chen, Yu-Xiong Wang
Contrastive Learning Relies More on Spatial Inductive Bias Than Supervised Learning: An Empirical Study. ICCV (2023)
Ziyang Xie, Ziqi Pang, Yu-Xiong Wang
MV-Map: Offboard HD-Map Generation with Multi-view Consistency. CoRR (2023)
Yunze Man, Liang-Yan Gui, Yu-Xiong Wang
BEV-Guided Multi-Modality Fusion for Driving Perception. CVPR (2023)
Sirui Xu, Zhengyuan Li, Yu-Xiong Wang, Liang-Yan Gui
InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion. CoRR (2023)
Yuanyi Zhong, Anand Bhattad, Yu-Xiong Wang, David A. Forsyth
Improving Equivariance in State-of-the-Art Supervised Depth and Normal Predictors. ICCV (2023)
Shengcao Cao, Mengtian Li, James Hays, Deva Ramanan, Yu-Xiong Wang, Liangyan Gui
Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation. ICML (2023)
Kuan-Ying Lee, Yuanyi Zhong, Yu-Xiong Wang
Do Pre-trained Models Benefit Equally in Continual Learning? WACV (2023)
Ziqi Pang, Deva Ramanan, Mengtian Li, Yu-Xiong Wang
Streaming Motion Forecasting for Autonomous Driving. CoRR (2023)
Brando Miranda, Patrick Yu, Saumya Goyal, Yu-Xiong Wang, Sanmi Koyejo
Is Pre-training Truly Better Than Meta-Learning? CoRR (2023)
Kai Yan, Alexander G. Schwing, Yu-Xiong Wang
A Simple Solution for Offline Imitation from Observations and Examples with Possibly Incomplete Trajectories. NeurIPS (2023)
Jun-Kun Chen, Jipeng Lyu, Yu-Xiong Wang
NeuralEditor: Editing Neural Radiance Fields via Manipulating Point Clouds. CVPR (2023)
Xinglong Sun, Jean Ponce, Yu-Xiong Wang
Revisiting Deformable Convolution for Depth Completion. IROS (2023)
Brando Miranda, Patrick Yu, Yu-Xiong Wang, Sanmi Koyejo
The Curse of Low Task Diversity: On the Failure of Transfer Learning to Outperform MAML and Their Empirical Equivalence. CoRR (2022)
Zhipeng Bao, Pavel Tokmakov, Allan Jabri, Yu-Xiong Wang, Adrien Gaidon, Martial Hebert
Discovering Objects that Can Move. CVPR (2022)
Zhipeng Bao, Pavel Tokmakov, Allan Jabri, Yu-Xiong Wang, Adrien Gaidon, Martial Hebert
Discovering Objects that Can Move. CoRR (2022)
Jun-Kun Chen, Yu-Xiong Wang
PointTree: Transformation-Robust Point Cloud Encoder with Relaxed K-D Trees. ECCV (3) (2022)
Zhiqiu Lin, Deepak Pathak, Yu-Xiong Wang, Deva Ramanan, Shu Kong
Learning with an Evolving Class Ontology. CoRR (2022)
Kai Yan, Alexander G. Schwing, Yu-Xiong Wang
CEIP: Combining Explicit and Implicit Priors for Reinforcement Learning with Demonstrations. CoRR (2022)
Kuan-Ying Lee, Yuanyi Zhong, Yu-Xiong Wang
Do Pre-trained Models Benefit Equally in Continual Learning? CoRR (2022)
Shaden Alshammari, Yu-Xiong Wang, Deva Ramanan, Shu Kong
Long-Tailed Recognition via Weight Balancing. CoRR (2022)
Yuanyi Zhong, Haoran Tang, Junkun Chen, Jian Peng, Yu-Xiong Wang
Is Self-Supervised Learning More Robust Than Supervised Learning? CoRR (2022)
Shaden Alshammari, Yu-Xiong Wang, Deva Ramanan, Shu Kong
Long- Tailed Recognition via Weight Balancing. CVPR (2022)
Mingtong Zhang, Shuhong Zheng, Zhipeng Bao, Martial Hebert, Yu-Xiong Wang
Beyond RGB: Scene-Property Synthesis with Neural Radiance Fields. CoRR (2022)
Junkun Chen, Yu-Xiong Wang
PointTree: Transformation-Robust Point Cloud Encoder with Relaxed K-D Trees. CoRR (2022)
Lue Fan, Ziqi Pang, Tianyuan Zhang, Yu-Xiong Wang, Hang Zhao, Feng Wang, Naiyan Wang, Zhaoxiang Zhang
Embracing Single Stride 3D Object Detector with Sparse Transformer. CVPR (2022)
Zhipeng Bao, Martial Hebert, Yu-Xiong Wang
Generative Modeling for Multi-task Visual Learning. ICML (2022)
Sirui Xu, Yu-Xiong Wang, Liang-Yan Gui
Diverse Human Motion Prediction Guided by Multi-level Spatial-Temporal Anchors. ECCV (22) (2022)
Kai Yan, Alexander G. Schwing, Yu-Xiong Wang
CEIP: Combining Explicit and Implicit Priors for Reinforcement Learning with Demonstrations. NeurIPS (2022)
Liwen Wu, Jae Yong Lee, Anand Bhattad, Yu-Xiong Wang, David A. Forsyth
DIVeR: Real-time and Accurate Neural Radiance Fields with Deterministic Integration for Volume Rendering. CVPR (2022)
Saba Ghaffari, Ehsan Saleh, David A. Forsyth, Yu-Xiong Wang
On the Importance of Firth Bias Reduction in Few-Shot Classification. ICLR (2022)
Zhe Xu, Kaize Ding, Yu-Xiong Wang, Huan Liu, Hanghang Tong
Generalized Few-Shot Node Classification. ICDM (2022)
Zhiqiu Lin, Deepak Pathak, Yu-Xiong Wang, Deva Ramanan, Shu Kong
Continual Learning with Evolving Class Ontologies. NeurIPS (2022)
Zhipeng Bao, Yu-Xiong Wang, Martial Hebert
Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View Synthesis. ICLR (2021)
Lue Fan, Ziqi Pang, Tianyuan Zhang, Yu-Xiong Wang, Hang Zhao, Feng Wang, Naiyan Wang, Zhaoxiang Zhang
Embracing Single Stride 3D Object Detector with Sparse Transformer. CoRR (2021)
Zhipeng Bao, Martial Hebert, Yu-Xiong Wang
Generative Modeling for Multi-task Visual Learning. CoRR (2021)
Weilin Zhang, Yu-Xiong Wang
Hallucination Improves Few-Shot Object Detection. CoRR (2021)
Yuanyi Zhong, Jianfeng Wang, Lijuan Wang, Jian Peng, Yu-Xiong Wang, Lei Zhang
DAP: Detection-Aware Pre-Training With Weak Supervision. CVPR (2021)
Yuanyi Zhong, Bodi Yuan, Hong Wu, Zhiqiang Yuan, Jian Peng, Yu-Xiong Wang
Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation. CoRR (2021)
Weilin Zhang, Yu-Xiong Wang
Hallucination Improves Few-Shot Object Detection. CVPR (2021)
Nadine Chang, Zhiding Yu, Yu-Xiong Wang, Animashree Anandkumar, Sanja Fidler, Jose M. Alvarez
Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection. ICML (2021)
Rajshekhar Das, Yu-Xiong Wang, José M. F. Moura
On the Importance of Distractors for Few-Shot Classification. ICCV (2021)
Yuanyi Zhong, Jianfeng Wang, Lijuan Wang, Jian Peng, Yu-Xiong Wang, Lei Zhang
DAP: Detection-Aware Pre-training with Weak Supervision. CoRR (2021)
Liangke Gui, Adrien Bardes, Ruslan Salakhutdinov, Alexander Hauptmann, Martial Hebert, Yu-Xiong Wang
Learning to Hallucinate Examples from Extrinsic and Intrinsic Supervision. ICCV (2021)
Saba Ghaffari, Ehsan Saleh, David Forsyth, Yu-Xiong Wang
On the Importance of Firth Bias Reduction in Few-Shot Classification. CoRR (2021)
Rajshekhar Das, Yu-Xiong Wang, José M. F. Moura
On the Importance of Distractors for Few-Shot Classification. CoRR (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yu-Xiong Wang