Kai Han

Kai Han is a skilled professional with a strong background in Computer Vision and Deep Learning, focusing on areas such as novel category discovery, semi-supervised learning, visual correspondence, and 3D reconstruction.

Having pursued higher education, Kai earned a Doctor of Philosophy (PhD) in Computer Science from The University of Hong Kong, a Master's degree in Computer Science from Harbin Institute of Technology, and a Bachelor's degree in Computer Software Engineering from Harbin Engineering University.

With experience in various renowned organizations, Kai Han has served as a Visiting Faculty Researcher at Google, an Assistant Professor at the University of Bristol, a Postdoctoral Researcher at the University of Oxford, a Research Intern at Inria - WILLOW team / École Normale Supérieure, and a Teaching Assistant at The University of Hong Kong.

Kai Han's research goals revolve around attaining a thorough visual understanding for practical applications in artificial intelligent systems.