About me
I will join Max-Planck-Institute for Informatics as a postdoctoral researcher in August, working with Prof. Christian Theobalt. I received my Ph.D. degree at Multimedia Laboratory in the Chinese University of Hong Kong in 2021, supervised by Prof. Xiaoou Tang. I also worked closely with Prof. Ping Luo and Prof. Chen Change Loy during my Ph.D. time. I obtained my Bachelor’s degree from Tsinghua University in 2016. My current research interests include 2D/3D visual synthesis and unsupervised 3D learning via inverse graphics.
News
- Our recent work GAN2Shape was accepted by ICLR2021 as an oral presentation. It shows the possibility of reconstructing 3D object shapes via 2D image GANs!
- Deep generative prior (DGP) was accepted by ECCV2020 as an oral presentation. It achieves precise GAN-inversion, enabling versatile interesting applications.
- Two papers were accepted by CVPR2020 as oral presentations.
- IBN-Net (+ PSANet) has won the WAD 2018 Drivable Area Segmentation Challenge. Paper accepted by ECCV2018.
- Spatial CNN has won the Tusimple Lane Detection Challenge 2017. Paper accepted by AAAI2018.
Education Experience
- The Chinese University of Hong Kong, HK SAR
- August 2017 - Now
- Ph.D. in Information Engineering.
- Tsinghua University, Beijing, China
- August 2012 - July 2016
- B.E. in Automotive Engineering
- GPA: 92.7, rank 1/86.
Professional Activities
I serve as a reviewer for CVPR, ICCV, ECCV, BMVC, NeurIPS, AAAI, and TPAMI.
Publications
- Do 2D GANs Know 3D Shape? Unsupervised 3D Shape Reconstruction from 2D Image GANs
- Xingang Pan, Bo Dai, Ziwei Liu, Chen Change Loy, Ping Luo
- International Conference on Learning Representations (ICLR), 2021 (oral)
- [Code], [Paper], [Project page]
- Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation
- Xingang Pan, Xiaohang Zhan, Bo Dai, Dahua Lin, Chen Change Loy, Ping Luo
- European Conference on Computer Vision (ECCV), 2020 (oral)
- [Code], [Paper], [Project page]
- Self-Supervised Scene De-occlusion
- Xiaohang Zhan, Xingang Pan, Bo Dai, Ziwei Liu, Dahua Lin, Chen Change Loy
- Computer Vision and Pattern Recognition (CVPR), 2020 (oral)
- [Code], [Paper], [Project page]
- Open Compound Domain Adaptation
- Ziwei Liu*, Zhongqi Miao*, Xingang Pan, Xiaohang Zhan, Stella X. Yu, Dahua Lin, Boqing Gong
- Computer Vision and Pattern Recognition (CVPR), 2020 (oral)
- [Paper], [Project page]
- Channel Equilibrium Networks for Learning Deep Representation
- Wenqi Shao, Shitao Tang, Xingang Pan, Ping Tan, Xiaogang Wang, Ping Luo
- International Conference on Machine Learning (ICML), 2020
- [Paper]
- Switchable Whitening for Deep Representation Learning
- Xingang Pan, Xiaohang Zhan, Jianping Shi, Xiaoou Tang, Ping Luo
- International Conference on Computer Vision (ICCV), 2019
- [Code], [Paper]
- Self-Supervised Learning via Conditional Motion Propagation
- Xiaohang Zhan, Xingang Pan, Ziwei Liu, Dahua Lin, Chen Change Loy
- Computer Vision and Pattern Recognition (CVPR), 2019
- [Code], [Paper]
- Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net
- Xingang Pan, Ping Luo, Jianping Shi, Xiaoou Tang
- European Conference on Computer Vision (ECCV), 2018
- [Code], [Paper], [Supplementary]
- Spatial As Deep: Spatial CNN for Traffic Scene Understanding
- Xingang Pan, Jianping Shi, Ping Luo, Xiaogang Wang, Xiaoou Tang
- Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), 2018
- [Dataset], [Code], [Paper], [Demo]
Professional Experience
- The Chinese University of Hong Kong, HK SAR
- October 2016 - August 2017
- Junior Research Assistant at Multimedia Laboratory
Honors & Awards
- Winner of WAD 2018 Drivable Area Segmentation Challenge, 2018
- Winner of Tusimple Lane Detection Challenge 2017, 2017
- Hong Kong PhD Fellowship Scheme (HKFPS), 2017
- Outstanding Graduate of Tsinghua University, 2016
- Outstanding Graduate of Beijing, 2016
- National Scholarship, 2015
- National Scholarship, 2013