Hong-Xing Yu

According to our database, Hong-Xing Yu authored at least 33 papers between 2017 and 2024.

Collaborative distances:

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

2024

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

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

CoRR, 2024

Unsupervised Discovery of Object-Centric Neural Fields.

Rundong Luo, Hong-Xing Yu, Jiajun Wu

CoRR, 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

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

CoRR, 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

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

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 and Composition of Object Light Fields.

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

CoRR, 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