Hong-Xing Yu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 59

Top Topics

Metric Learning

Writer Identification

Top Venues

Publications

Tianyuan Zhang, Hong-Xing Yu, Rundi Wu, Brandon Y. Feng, Changxi Zheng, Noah Snavely, Jiajun Wu, William T. Freeman
PhysDreamer: Physics-Based Interaction with 3D Objects via Video Generation. CoRR (2024)
Rundong Luo, Hong-Xing Yu, Jiajun Wu
Unsupervised Discovery of Object-Centric Neural Fields. CoRR (2024)
Chen Geng, Hong-Xing Yu, Sida Peng, Xiaowei Zhou, Jiajun Wu
Neural Polynomial Gabor Fields for Macro Motion Analysis. ICLR (2024)
Honglin Chen, Wanhee Lee, Hong-Xing Yu, Rahul Mysore Venkatesh, Joshua B. Tenenbaum, Daniel Bear, Jiajun Wu, Daniel L. K. Yamins
Unsupervised 3D Scene Representation Learning via Movable Object Inference. Trans. Mach. Learn. Res. 2024 (2024)
Hong-Xing Yu, Haoyi Duan, Charles Herrmann, William T. Freeman, Jiajun Wu
WonderWorld: Interactive 3D Scene Generation from a Single Image. CoRR (2024)
Yunhao Ge, Yihe Tang, Jiashu Xu, Cem Gokmen, Chengshu Li, Wensi Ai, Benjamin Jose Martinez, Arman Aydin, Mona Anvari, Ayush K. Chakravarthy, Hong-Xing Yu, Josiah Wong, Sanjana Srivastava, Sharon Lee, Shengxin Zha, Laurent Itti, Yunzhu Li, Roberto Martín-Martín, Miao Liu, Pengchuan Zhang, Ruohan Zhang, Li Fei-Fei, Jiajun Wu
BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation. CoRR (2024)
Licheng Zhong, Hong-Xing Yu, Jiajun Wu, Yunzhu Li
Reconstruction and Simulation of Elastic Objects with Spring-Mass 3D Gaussians. CoRR (2024)
Hong-Xing Yu, Haoyi Duan, Junhwa Hur, Kyle Sargent, Michael Rubinstein, William T. Freeman, Forrester Cole, Deqing Sun, Noah Snavely, Jiajun Wu, Charles Herrmann
WonderJourney: Going from Anywhere to Everywhere. CoRR (2023)
Simon Le Cleac'h, Hong-Xing Yu, Michelle Guo, Taylor A. Howell, Ruohan Gao, Jiajun Wu, Zachary Manchester, Mac Schwager
Differentiable Physics Simulation of Dynamics-Augmented Neural Objects. IEEE Robotics Autom. Lett. 8 (5) (2023)
Yitong Deng, Hong-Xing Yu, Diyang Zhang, Jiajun Wu, Bo Zhu
Fluid Simulation on Neural Flow Maps. CoRR (2023)
Chen Geng, Hong-Xing Yu, Sharon Zhang, Maneesh Agrawala, Jiajun Wu
Tree-Structured Shading Decomposition. CoRR (2023)
Yitong Deng, Hong-Xing Yu, Jiajun Wu, Bo Zhu
Learning Vortex Dynamics for Fluid Inference and Prediction. CoRR (2023)
Zhengfei Kuang, Yunzhi Zhang, Hong-Xing Yu, Samir Agarwala, Shangzhe Wu, Jiajun Wu
Stanford-ORB: A Real-World 3D Object Inverse Rendering Benchmark. CoRR (2023)
Hong-Xing Yu, Samir Agarwala, Charles Herrmann, Richard Szeliski, Noah Snavely, Jiajun Wu, Deqing Sun
Accidental Light Probes. CVPR (2023)
Yunhao Ge, Hong-Xing Yu, Cheng Zhao, Yuliang Guo, Xinyu Huang, Liu Ren, Laurent Itti, Jiajun Wu
3D Copy-Paste: Physically Plausible Object Insertion for Monocular 3D Detection. NeurIPS (2023)
Stephen Tian, Yancheng Cai, Hong-Xing Yu, Sergey Zakharov, Katherine Liu, Adrien Gaidon, Yunzhu Li, Jiajun Wu
Multi-Object Manipulation via Object-Centric Neural Scattering Functions. CVPR (2023)
Hong-Xing Yu, Michelle Guo, Alireza Fathi, Yen-Yu Chang, Eric Ryan Chan, Ruohan Gao, Thomas A. Funkhouser, Jiajun Wu
Learning Object-Centric Neural Scattering Functions for Free-viewpoint Relighting and Scene Composition. Trans. Mach. Learn. Res. 2023 (2023)
Hong-Xing Yu, Samir Agarwala, Charles Herrmann, Richard Szeliski, Noah Snavely, Jiajun Wu, Deqing Sun
Accidental Light Probes. CoRR (2023)
Yitong Deng, Hong-Xing Yu, Diyang Zhang, Jiajun Wu, Bo Zhu
Fluid Simulation on Neural Flow Maps. ACM Trans. Graph. 42 (6) (2023)
Hong-Xing Yu, Yang Zheng, Yuan Gao, Yitong Deng, Bo Zhu, Jiajun Wu
Inferring Hybrid Neural Fluid Fields from Videos. CoRR (2023)
Zhengfei Kuang, Yunzhi Zhang, Hong-Xing Yu, Samir Agarwala, Shangzhe Wu, Jiajun Wu
Stanford-ORB: A Real-World 3D Object Inverse Rendering Benchmark. NeurIPS (2023)
Hong-Xing Yu, Yang Zheng, Yuan Gao, Yitong Deng, Bo Zhu, Jiajun Wu
Inferring Hybrid Neural Fluid Fields from Videos. NeurIPS (2023)
Hong-Xing Yu, Michelle Guo, Alireza Fathi, Yen-Yu Chang, Eric Ryan Chan, Ruohan Gao, Thomas A. Funkhouser, Jiajun Wu
Learning Object-Centric Neural Scattering Functions for Free-viewpoint Relighting and Scene Composition. CoRR (2023)
Cameron Smith, Hong-Xing Yu, Sergey Zakharov, Frédo Durand, Joshua B. Tenenbaum, Jiajun Wu, Vincent Sitzmann
Unsupervised Discovery and Composition of Object Light Fields. Trans. Mach. Learn. Res. 2023 (2023)
Yitong Deng, Hong-Xing Yu, Jiajun Wu, Bo Zhu
Learning Vortex Dynamics for Fluid Inference and Prediction. ICLR (2023)
Kyle Sargent, Zizhang Li, Tanmay Shah, Charles Herrmann, Hong-Xing Yu, Yunzhi Zhang, Eric Ryan Chan, Dmitry Lagun, Li Fei-Fei, Deqing Sun, Jiajun Wu
ZeroNVS: Zero-Shot 360-Degree View Synthesis from a Single Real Image. CoRR (2023)
Stephen Tian, Yancheng Cai, Hong-Xing Yu, Sergey Zakharov, Katherine Liu, Adrien Gaidon, Yunzhu Li, Jiajun Wu
Multi-Object Manipulation via Object-Centric Neural Scattering Functions. CoRR (2023)
Klemen Kotar, Stephen Tian, Hong-Xing Yu, Daniel L. K. Yamins, Jiajun Wu
Are These the Same Apple? Comparing Images Based on Object Intrinsics. CoRR (2023)
Chen Geng, Hong-Xing Yu, Sharon Zhang, Maneesh Agrawala, Jiajun Wu
Tree-Structured Shading Decomposition. ICCV (2023)
Yunhao Ge, Hong-Xing Yu, Cheng Zhao, Yuliang Guo, Xinyu Huang, Liu Ren, Laurent Itti, Jiajun Wu
3D Copy-Paste: Physically Plausible Object Insertion for Monocular 3D Detection. CoRR (2023)
Klemen Kotar, Stephen Tian, Hong-Xing Yu, Dan Yamins, Jiajun Wu
Are These the Same Apple? Comparing Images Based on Object Intrinsics. NeurIPS (2023)
Simon Le Cleac'h, Hong-Xing Yu, Michelle Guo, Taylor A. Howell, Ruohan Gao, Jiajun Wu, Zachary Manchester, Mac Schwager
Differentiable Physics Simulation of Dynamics-Augmented Neural Objects. CoRR (2022)
Hong-Xing Yu, Jiajun Wu, Li Yi
Rotationally Equivariant 3D Object Detection. CoRR (2022)
Hong-Xing Yu, Jiajun Wu, Li Yi
Rotationally Equivariant 3D Object Detection. CVPR (2022)
Hong-Xing Yu, Leonidas J. Guibas, Jiajun Wu
Unsupervised Discovery of Object Radiance Fields. ICLR (2022)
Cameron Smith, Hong-Xing Yu, Sergey Zakharov, Frédo Durand, Joshua B. Tenenbaum, Jiajun Wu, Vincent Sitzmann
Unsupervised Discovery and Composition of Object Light Fields. CoRR (2022)
Zelin Chen, Hong-Xing Yu, Ancong Wu, Wei-Shi Zheng
Letter-Level Online Writer Identification. Int. J. Comput. Vis. 129 (5) (2021)
Zelin Chen, Hong-Xing Yu, Ancong Wu, Wei-Shi Zheng
Letter-level Online Writer Identification. CoRR (2021)
Yilun Du, Yinan Zhang, Hong-Xing Yu, Joshua B. Tenenbaum, Jiajun Wu
Neural Radiance Flow for 4D View Synthesis and Video Processing. ICCV (2021)
Zhengqin Li, Ting-Wei Yu, Shen Sang, Sarah Wang, Meng Song, Yuhan Liu, Yu-Ying Yeh, Rui Zhu, Nitesh B. Gundavarapu, Jia Shi, Sai Bi, Hong-Xing Yu, Zexiang Xu, Kalyan Sunkavalli, Milos Hasan, Ravi Ramamoorthi, Manmohan Chandraker
OpenRooms: An Open Framework for Photorealistic Indoor Scene Datasets. CVPR (2021)
Hong-Xing Yu, Leonidas J. Guibas, Jiajun Wu
Unsupervised Discovery of Object Radiance Fields. CoRR (2021)
Hong-Xing Yu, Wei-Shi Zheng
Weakly supervised discriminative feature learning with state information for person identification. CoRR (2020)
Zhengqin Li, Ting-Wei Yu, Shen Sang, Sarah Wang, Sai Bi, Zexiang Xu, Hong-Xing Yu, Kalyan Sunkavalli, Milos Hasan, Ravi Ramamoorthi, Manmohan Chandraker
OpenRooms: An End-to-End Open Framework for Photorealistic Indoor Scene Datasets. CoRR (2020)
Hong-Xing Yu, Wei-Shi Zheng
Weakly Supervised Discriminative Feature Learning With State Information for Person Identification. CVPR (2020)
Hong-Xing Yu, Ancong Wu, Wei-Shi Zheng
Unsupervised Person Re-Identification by Deep Asymmetric Metric Embedding. IEEE Trans. Pattern Anal. Mach. Intell. 42 (4) (2020)
Yilun Du, Yinan Zhang, Hong-Xing Yu, Joshua B. Tenenbaum, Jiajun Wu
Neural Radiance Flow for 4D View Synthesis and Video Processing. CoRR (2020)
Guang-Yuan Hao, Hong-Xing Yu, Wei-Shi Zheng
DSRGAN: Explicitly Learning Disentangled Representation of Underlying Structure and Rendering for Image Generation without Tuple Supervision. CoRR (2019)
Qize Yang, Hong-Xing Yu, Ancong Wu, Wei-Shi Zheng
Patch-Based Discriminative Feature Learning for Unsupervised Person Re-Identification. CVPR (2019)
Hong-Xing Yu, Wei-Shi Zheng, Ancong Wu, Xiaowei Guo, Shaogang Gong, Jian-Huang Lai
Unsupervised Person Re-identification by Soft Multilabel Learning. CoRR (2019)
Hong-Xing Yu, Ancong Wu, Wei-Shi Zheng
Unsupervised Person Re-identification by Deep Asymmetric Metric Embedding. CoRR (2019)
Hong-Xing Yu, Wei-Shi Zheng, Ancong Wu, Xiaowei Guo, Shaogang Gong, Jian-Huang Lai
Unsupervised Person Re-Identification by Soft Multilabel Learning. CVPR (2019)
Zelin Chen, Hong-Xing Yu, Ancong Wu, Wei-Shi Zheng
Letter-Level Writer Identification. FG (2018)
Guang-Yuan Hao, Hong-Xing Yu, Wei-Shi Zheng
MIXGAN: Learning Concepts from Different Domains for Mixture Generation. IJCAI (2018)
Zhou Yin, Wei-Shi Zheng, Ancong Wu, Hong-Xing Yu, Hai Wan, Xiaowei Guo, Feiyue Huang, Jianhuang Lai
Adversarial Attribute-Image Person Re-identification. IJCAI (2018)
Guang-Yuan Hao, Hong-Xing Yu, Wei-Shi Zheng
MIXGAN: Learning Concepts from Different Domains for Mixture Generation. CoRR (2018)
Ancong Wu, Wei-Shi Zheng, Hong-Xing Yu, Shaogang Gong, Jianhuang Lai
RGB-Infrared Cross-Modality Person Re-identification. ICCV (2017)
Zhou Yin, Wei-Shi Zheng, Ancong Wu, Hong-Xing Yu, Hai Wang, Jianhuang Lai
Learning a Semantically Discriminative Joint Space for Attribute Based Person Re-identification. CoRR (2017)
Hong-Xing Yu, Ancong Wu, Wei-Shi Zheng
Cross-View Asymmetric Metric Learning for Unsupervised Person Re-Identification. ICCV (2017)
Hong-Xing Yu, Ancong Wu, Wei-Shi Zheng
Cross-view Asymmetric Metric Learning for Unsupervised Person Re-identification. CoRR (2017)