Hang Zhou

Ph.D Candidate, Department of Electornic Engineering / Multimedia Lab (MMLab), The Chinese University of Hong Kong (CUHK) hangzcuhk@gmail.com zhouhang@link.cuhk.edu.hk Github   CV   Scholar

About me

I am currently a third-year Ph.D. student in Multimedia Lab (MMLab)(established by Prof. Xiaoou Tang), the Chinese University of Hong Kong. I am supervised by Prof. Xiaogang Wang. I also work very closely with Dr. Ziwei Liu and Prof. Ping Luo.

I received my bachelor's degree in Acoustics from the School of Physics at Nanjing University (NJU) in 2017. My research interests include deep learning and its applications on video and audio processing.

News

• One paper accepted to CVPR 2020.

• Two papers accepted to ICCV 2019.

• One paper accepted to AAAI 2019 as Oral.

Publications

Rotate-and-Render: Unsupervised Photorealistic Face Rotation from Single-View Images Hang Zhou*, Jihao Liu*, Ziwei Liu, Yu Liu, Xiaogang Wang IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2020. Code

Vision-Infused Deep Audio Inpainting Hang Zhou, Ziwei Liu, Xudong Xu, Ping Luo, Xiaogang Wang International Conference on Computer Vision (ICCV) 2019. Project   Code

A Graph-based Framework to Bridge Movies and Synopses Yu Xiong, Qingqiu Huang, Lingfeng Guo, Hang Zhou, Bolei Zhou, Dahua Lin International Conference on Computer Vision (ICCV) 2019 (Oral Presentation).

Talking Face Generation by Adversarially Disentangled Audio-Visual Representation Hang Zhou, Yu Liu, Ziwei Liu, Ping Luo, Xiaogang Wang AAAI Conference on Artificial Intelligence (AAAI) 2019 (Oral Presentation). Project  Code

ET-GAN: Cross-Language Emotion Transfer Based on Cycle-Consistent Generative Adversarial Networks Xiaoqi Jia*, Jianwei Tai*, Hang Zhou, Yakai Li, Weijuan Zhang, Haichao Du, Qingjia Huang European Conference on Artificial Intelligence (ECAI) 2020 (Oral Presentation).

Working Experience

• Research assistant at Multimedia Lab (MMLab), CUHK. (Feb. 2017 to May 2017)
  Worked on lip reading.

Professional Activities

• Reviewer of IJCV.
• Reviewer of CVPR 2020.
• IJCAI-PRICAI 2020 Demonstrations Track PC Member.

Teaching Experience

Teaching Assistant of the following courses in The Chinese University of Hong Kong:

• ELEG5491, Introduction to Deep Learning , Spring 2019.

• ELEG5760, Machine Learning for Signal Processing Applications, Fall 2018.

• ENGG2420B, Complex Analysis and Differential Equations for Engineers, Fall 2018.

• ENGG1110, Problem Solving By Programming, Spring 2018.

• ENGG2420B, Complex Analysis and Differential Equations for Engineers, Fall 2017.