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), the Chinese University of Hong Kong. I am supervised by Prof. Xiaogang Wang and Dr. Ziwei Liu. I also have close research collaboration with Xudong Xu, Dr. Yu 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 audio-visual processing and face generation.

News

• [2020-07] Two papers accepted to ECCV 2020.

• [2020-06] We are organizing ECCV 2020 SenseHuman Workshop.

• [2020-06] I am awarded Outstanding Reviewer of CVPR 2020.

• [2020-02] One paper accepted to CVPR 2020.

• [2019-07] Two papers accepted to ICCV 2019.

• [2018-11] One paper accepted to AAAI 2019 as Oral.

Publications

Sep-Stereo: Visually Guided Stereophonic Audio Generation by Associating Source Separation Hang Zhou*, Xudong Xu*, Dahua Lin, Xiaogang Wang, Ziwei Liu European Conference on Computer Vision (ECCV) 2020. Project   Code

Discriminability Distillation in Group Representation Learning Manyuan Zhang, Guanglu Song, Hang Zhou, Yu Liu European Conference on Computer Vision (ECCV) 2020. PDF

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. PDF   Code

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

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). PDF   Project   Code

Working Experience

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

Professional Activities

• Reviewer of IJCV, Transactions on Audio Speech and Language Processing, Neurocomputing.
• 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.