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.

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

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).

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). 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.