Selected Awards

  • Nvidia Fellowship Finalist, 2022, 2023
  • Qualcomm Innovation Fellowship, 2021
  • Stanford University School of Engineering (SoE) Fellowship, 2020
  • Chinese National Scholarship, 2016, 2018, 2019

Publications

Accidental Light Probes
Hong-Xing Yu, Samir Agarwala, Charles Herrmann, Richard Szeliski, Noah Snavely, Jiajun Wu, Deqing Sun
CVPR 2023 / Website / Paper / Video
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 Funkhouser, Jiajun Wu
Arxiv Preprint
Learning Vortex Dynamics for Fluid Inference and Prediction
Yitong Deng, Hong-Xing Yu, Jiajun Wu, Bo Zhu
ICLR 2023 / Website / Paper / Code
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
RA-L 2023 / Paper / Video
Unsupervised Discovery and Composition of Object Light Fields
Cameron Smith, Hong-Xing Yu, Sergey Zakharov, Frédo Durand, Joshua B. Tenenbaum, Jiajun Wu, Vincent Sitzmann
Arxiv Preprint / Website / Code
Rotationally Equivariant 3D Object Detection
Hong-Xing Yu, Jiajun Wu, Li Yi
CVPR 2022 / Website / Paper / Video / Code
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 / Website / Paper / Short video / Long video
Oral Presentation
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, Wei-Shi Zheng, Ancong Wu, Xiaowei Guo, Shaogang Gong, Jian-Huang Lai
CVPR 2019 / Paper / Code
Oral Presentation
Patch-based Discriminative Feature Learning for Unsupervised Person Re-identification
Qize Yang, Hong-Xing Yu, Ancong Wu, Wei-Shi Zheng
CVPR 2019 / 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, Xiaowei Guo, Feiyue Huang, Jian-Huang Lai
IJCAI 2018 / Paper
Unsupervised Person Re-identification by Deep Asymmetric Metric Embedding
Hong-Xing Yu, Ancong Wu, Wei-Shi Zheng
TPAMI 2018 / Paper / Code
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