Kai Han

I am an Assistant Professor in Department of Statistics and Actuarial Science at The University of Hong Kong. My research interests lie in Computer Vision and Deep Learning, spanning topics like novel category discovery, semi-supervised learning, visual correspondence, 3D reconstruction, image matting, photometric stereo, etc. The broad goal of my research is to achieve principled and comprehensive visual understanding for real applications of artificial intelligent systems. Previously, I was a Visiting Faculty Researcher at Google Research, an Assistant Professor in Department of Computer Science at University of Bristol, and a Postdoctoral Researcher in the great Visual Geometry Group (VGG) at the University of Oxford working with Prof. Andrew Zisserman and Prof. Andrea Vedaldi. I received my Ph.D. degree in Department of Computer Science at The University of Hong Kong advised by Prof. Kenneth K.Y. Wong. During my Ph.D., I was lucky to work with Prof. Jean Ponce and Prof. Minsu Cho at the WILLOW team of Inria Paris and École Normale Supérieure (ENS).

Education

• Doctor of Philosophy (PhD) The University of Hong Kong (2014 — 2018)
• Master's degree Harbin Institute of Technology (2011 — 2013)
• Bachelor's degree Harbin Engineering University (2007 — 2011)

Companies

• Visiting Faculty Researcher Google (2021)
• Assistant Professor University of Bristol (2020)
• Postdoctoral Researcher University of Oxford (2018 — 2020)
• Teaching Assistant The University of Hong Kong (2014 — 2017)
• Research Intern Inria - WILLOW team / École Normale Supérieure (2016 — 2016)