Hong-Xing Yu

According to our database, Hong-Xing Yu authored at least 42 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

An Eulerian Vortex Method on Flow Maps.

Sinan Wang, Yitong Deng, Molin Deng, Hong-Xing Yu, Junwei Zhou, Duowen Chen, Taku Komura, Jiajun Wu, Bo Zhu

ACM Trans. Graph., December, 2024

Unsupervised 3D Scene Representation Learning via Movable Object Inference.

Honglin Chen, Wanhee Lee, Hong-Xing Yu, Rahul Mysore Venkatesh, Joshua B. Tenenbaum, Daniel Bear, Jiajun Wu, Daniel L. K. Yamins

Trans. Mach. Learn. Res., 2024

ZeroHSI: Zero-Shot 4D Human-Scene Interaction by Video Generation.

Hongjie Li, Hong-Xing Yu, Jiaman Li, Jiajun Wu

CoRR, 2024

WonderWorld: Interactive 3D Scene Generation from a Single Image.

Hong-Xing Yu, Haoyi Duan, Charles Herrmann, William T. Freeman, Jiajun Wu

CoRR, 2024

BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation.

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

CoRR, 2024

Unsupervised Discovery of Object-Centric Neural Fields.

Rundong Luo, Hong-Xing Yu, Jiajun Wu

CoRR, 2024

Neural Polynomial Gabor Fields for Macro Motion Analysis.

Chen Geng, Hong-Xing Yu, Sida Peng, Xiaowei Zhou, Jiajun Wu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Reconstruction and Simulation of Elastic Objects with Spring-Mass 3D Gaussians.

Licheng Zhong, Hong-Xing Yu, Jiajun Wu, Yunzhu Li

Proceedings of the Computer Vision - ECCV 2024, 2024

PhysDreamer: Physics-Based Interaction with 3D Objects via Video Generation.

Tianyuan Zhang, Hong-Xing Yu, Rundi Wu, Brandon Y. Feng, Changxi Zheng, Noah Snavely, Jiajun Wu, William T. Freeman

Proceedings of the Computer Vision - ECCV 2024, 2024

WonderJourney: Going from Anywhere to Everywhere.

Hong-Xing Yu, Haoyi Duan, Junhwa Hur, Kyle Sargent, Michael Rubinstein, William T. Freeman, Forrester Cole, Deqing Sun, Noah Snavely, Jiajun Wu, Charles Herrmann

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

ZeroNVS: Zero-Shot 360-Degree View Synthesis from a Single Image.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Fluid Simulation on Neural Flow Maps.

Yitong Deng, Hong-Xing Yu, Diyang Zhang, Jiajun Wu, Bo Zhu

ACM Trans. Graph., December, 2023

Differentiable Physics Simulation of Dynamics-Augmented Neural Objects.

Simon Le Cleac'h, Hong-Xing Yu, Michelle Guo, Taylor A. Howell, Ruohan Gao, Jiajun Wu, Zachary Manchester, Mac Schwager

IEEE Robotics Autom. Lett., May, 2023

Learning Object-Centric Neural Scattering Functions for Free-viewpoint Relighting and Scene Composition.

Hong-Xing Yu, Michelle Guo, Alireza Fathi, Yen-Yu Chang, Eric Ryan Chan, Ruohan Gao, Thomas A. Funkhouser, Jiajun Wu

Trans. Mach. Learn. Res., 2023

Unsupervised Discovery and Composition of Object Light Fields.

Cameron Smith, Hong-Xing Yu, Sergey Zakharov, Frédo Durand, Joshua B. Tenenbaum, Jiajun Wu, Vincent Sitzmann

Trans. Mach. Learn. Res., 2023

ZeroNVS: Zero-Shot 360-Degree View Synthesis from a Single Real Image.

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

CoRR, 2023

Inferring Hybrid Neural Fluid Fields from Videos.

Hong-Xing Yu, Yang Zheng, Yuan Gao, Yitong Deng, Bo Zhu, Jiajun Wu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Stanford-ORB: A Real-World 3D Object Inverse Rendering Benchmark.

Zhengfei Kuang, Yunzhi Zhang, Hong-Xing Yu, Samir Agarwala, Shangzhe Wu, Jiajun Wu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Are These the Same Apple? Comparing Images Based on Object Intrinsics.

Klemen Kotar, Stephen Tian, Hong-Xing Yu, Dan Yamins, Jiajun Wu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

3D Copy-Paste: Physically Plausible Object Insertion for Monocular 3D Detection.

Yunhao Ge, Hong-Xing Yu, Cheng Zhao, Yuliang Guo, Xinyu Huang, Liu Ren, Laurent Itti, Jiajun Wu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Vortex Dynamics for Fluid Inference and Prediction.

Yitong Deng, Hong-Xing Yu, Jiajun Wu, Bo Zhu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Tree-Structured Shading Decomposition.

Chen Geng, Hong-Xing Yu, Sharon Zhang, Maneesh Agrawala, Jiajun Wu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Accidental Light Probes.

Hong-Xing Yu, Samir Agarwala, Charles Herrmann, Richard Szeliski, Noah Snavely, Jiajun Wu, Deqing Sun

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Multi-Object Manipulation via Object-Centric Neural Scattering Functions.

Stephen Tian, Yancheng Cai, Hong-Xing Yu, Sergey Zakharov, Katherine Liu, Adrien Gaidon, Yunzhu Li, Jiajun Wu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Unsupervised Discovery of Object Radiance Fields.

Hong-Xing Yu, Leonidas J. Guibas, Jiajun Wu

Proceedings of the Tenth International Conference on Learning Representations, 2022

Rotationally Equivariant 3D Object Detection.

Hong-Xing Yu, Jiajun Wu, Li Yi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Letter-Level Online Writer Identification.

Zelin Chen, Hong-Xing Yu, Ancong Wu, Wei-Shi Zheng

Int. J. Comput. Vis., 2021

Neural Radiance Flow for 4D View Synthesis and Video Processing.

Yilun Du, Yinan Zhang, Hong-Xing Yu, Joshua B. Tenenbaum, Jiajun Wu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

OpenRooms: An Open Framework for Photorealistic Indoor Scene Datasets.

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Unsupervised Person Re-Identification by Deep Asymmetric Metric Embedding.

Hong-Xing Yu, Ancong Wu, Wei-Shi Zheng

IEEE Trans. Pattern Anal. Mach. Intell., 2020

OpenRooms: An End-to-End Open Framework for Photorealistic Indoor Scene Datasets.

Zhengqin Li, Ting-Wei Yu, Shen Sang, Sarah Wang, Sai Bi, Zexiang Xu, Hong-Xing Yu, Kalyan Sunkavalli, Milos Hasan, Ravi Ramamoorthi, Manmohan Chandraker

CoRR, 2020

Weakly Supervised Discriminative Feature Learning With State Information for Person Identification.

Hong-Xing Yu, Wei-Shi Zheng

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

DSRGAN: Explicitly Learning Disentangled Representation of Underlying Structure and Rendering for Image Generation without Tuple Supervision.

Guang-Yuan Hao, Hong-Xing Yu, Wei-Shi Zheng

CoRR, 2019

Unsupervised Person Re-Identification by Soft Multilabel Learning.

Hong-Xing Yu, Wei-Shi Zheng, Ancong Wu, Xiaowei Guo, Shaogang Gong, Jian-Huang Lai

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Patch-Based Discriminative Feature Learning for Unsupervised Person Re-Identification.

Qize Yang, Hong-Xing Yu, Ancong Wu, Wei-Shi Zheng

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Adversarial Attribute-Image Person Re-identification.

Zhou Yin, Wei-Shi Zheng, Ancong Wu, Hong-Xing Yu, Hai Wan, Xiaowei Guo, Feiyue Huang, Jianhuang Lai

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

MIXGAN: Learning Concepts from Different Domains for Mixture Generation.

Guang-Yuan Hao, Hong-Xing Yu, Wei-Shi Zheng

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Letter-Level Writer Identification.

Zelin Chen, Hong-Xing Yu, Ancong Wu, Wei-Shi Zheng

Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition, 2018

2017

Learning a Semantically Discriminative Joint Space for Attribute Based Person Re-identification.

Zhou Yin, Wei-Shi Zheng, Ancong Wu, Hong-Xing Yu, Hai Wang, Jianhuang Lai

CoRR, 2017

Cross-View Asymmetric Metric Learning for Unsupervised Person Re-Identification.

Hong-Xing Yu, Ancong Wu, Wei-Shi Zheng

Proceedings of the IEEE International Conference on Computer Vision, 2017

RGB-Infrared Cross-Modality Person Re-identification.

Ancong Wu, Wei-Shi Zheng, Hong-Xing Yu, Shaogang Gong, Jianhuang Lai

Proceedings of the IEEE International Conference on Computer Vision, 2017