I am Zhanghan Ke (柯章翰), a Ph.D. student in the Department of Computer Science, City University of Hong Kong (CityU), under the supervision of Prof. Rynson W.H. Lau. Before that, I obtained my B.Eng. from Software College, Northeastern Universiy (NEU) in 2018.
My current research interests are in the areas of semi-/weak-/un-supervised learning, transfer learning, and their applications in computer vision & graphics.
Mar. 2018 - Apr. 2021
Nov. 2016 - Aug. 2017
Is a Green Screen Really Necessary for Real-Time Portrait Matting?
Zhanghan Ke, Kaican Li, Yurou Zhou, Qiuhua Wu, Xiangyu Mao, Qiong Yan, Rynson W.H. Lau
Arxiv Preprint, 2020
Towards Geometry Guided Neural Relighting with Flash Photography
Di Qiu, Jin Zeng, Zhanghan Ke, Wenxiu Sun, Chengxi Yang
International Conference on 3D Vision (3DV), 2020
Guided Collaborative Training for Pixel-wise Semi-Supervised Learning
Zhanghan Ke, Di Qiu, Kaican Li, Qiong Yan, Rynson W.H. Lau
European Conference on Computer Vision (ECCV), 2020
Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning
Zhanghan Ke, Daoye Wang, Qiong Yan, Jimmy Ren, Rynson W.H. Lau
International Conference on Computer Vision (ICCV), 2019
Open Source Projects
PixelSSL is a PyTorch-based semi-supervised learning (SSL) codebase for pixel-wise (Pixel) vision tasks. The purpose of this project is to promote the research and application of semi-supervised learning on pixel-wise vision tasks. It provides (1) an interface for implementing new semi-supervised algorithms and (2) a template for encapsulating diverse computer vision tasks. As a result, the SSL algorithms integrated in PixelSSL are compatible with all task codes inherited from the given template.
More About Me
2019/20 Semester A - CS4185 Multimedia Techs & Appls
2019/20 Semester B - CS4188/CS5188 Virtual Reality Tech & Apns
A Little Guy
Hey! Look here! I am a cute kitty who lives with Zhanghan. (ﾉ>ω<)ﾉ
But I will not tell you that my name is hidden somewhere on this page. ( • ̀ω•́ )