Hong-Xing "Koven" Yu

koven (at) cs (dot) stanford (dot) edu

Google Scholar

I’m a 2nd-year PhD student at Stanford University, advised by Prof. Jiajun Wu. My current research interests mainly lie in scene modeling and understanding, especially with neural representations. Prior to Stanford, I have been very fortunate to visit UC San Diego to work with Prof. Manmohan Chandraker. I did my master and bachelor at Sun Yat-sen University, working with Prof. Wei-Shi Zheng.

Publications

Rotationally Equivariant 3D Object Detection

Hong-Xing Yu, Jiajun Wu, Li Yi

CVPR 2022 / Website / Paper / Video / Code (Coming)

Unsupervised Discovery of Object Radiance Fields

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

ICLR 2022 / Website / Paper / Video / Code / Poster

Neural Radiance Flow for 4D View Synthesis and Video Processing

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

ICCV 2021 / Website / Paper / Code

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, Miloš Hašan, Ravi Ramamoorthi, Manmohan Chandraker

CVPR 2021 (Oral) / Website / Paper / Short video / Long video

Letter-level Online Writer Identification

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

IJCV 2021 / Paper

Weakly Supervised Discriminative Feature Learning with State Information for Person Identification

Hong-Xing Yu, Wei-Shi Zheng

CVPR 2020 / Paper / Code

Unsupervised Person Re-identification by Soft Multilabel Learning

Hong-Xing Yu, Shaogang Gong, Wei-Shi Zheng, et.al.

CVPR 2019 (Oral) / Paper / Code

Patch-based Discriminative Feature Learning for Unsupervised Person Re-identification

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

CVPR 2019 / Paper

Unsupervised Person Re-identification by Deep Asymmetric Metric Embedding

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

TPAMI 2018 / Paper / Code

MIXGAN: Learning Concepts from Different Domains for Mixture Generation

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

IJCAI 2018 / Paper

Adversarial Attribute-Image Person Re-identification

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

IJCAI 2018 / Paper

Cross-view Asymmetric Metric Learning for Unsupervised Person Re-identification

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

ICCV 2017 / Paper / Code

RGB-infrared Cross-modality Person Re-identification

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

ICCV 2017 / Paper / Code

Selected Awards

Nvidia Fellowship Finalist, by Nvidia, 2022-2023
Qualcomm Innovation Fellowship, by Qualcomm, 2021-2022
School of Engineering Fellowship, by Stanford University, 2020-2021
Outstanding Graduate of Guangdong Province (¹⁄₃₉₁), by Department of Education of Guangdong Province, 2020
Chinese National Scholarship (¹⁄₂₄₈), by Minister of Education of China, 2019
Chinese National Scholarship (¹⁄₂₄₈), by Minister of Education of China, 2018
Chinese National Scholarship (²⁄₁₀₅), by Minister of Education of China, 2016

Service

Conference reviewer for CVPR18, CVPR20, NeurIPS20, WACV21, CVPR21, ICML21, ICCV21, NeurIPS21, ICLR22, CVPR22, IJCAI22, ICML22, ECCV22, NeurIPS22
Journal reviewer for TPAMI