Dan XU

Dan XU 徐旦

PhD in Computer Science, University of Trento

Assistant Professor

Dan XU
Tel: (852) 2358 8837
Office: Room 3509
Links: Personal Webpage
Faculty Profile
Scholar Profile
Google Scholar
Dan XU

(852) 2358 8837



Room 3509

Personal Webpage


Research Area

Vision and Graphics

Research Interests

Computer vision; Multimedia; Machine learning


Dr. Dan Xu is an Assistant Professor in the Department of Computer Science and Engineering (CSE), the Hong Kong University of Science and Technology (HKUST). Before joining HKUST, he was a Postdoctoral researcher in the Visual Geometry Group (VGG) at the University of Oxford, working with Prof. Andrea Vedaldi and Prof. Andrew Zisserman. He received his Ph.D. in Computer Science from the University of Trento in 2018, under the supervision of Prof. Nicu Sebe. He was also a visiting Ph.D. student in the MMLab at the Chinese University of Hong Kong (CUHK) under the supervision of Prof. Xiaogang Wang.

His research mainly focuses on computer vision, multimedia, and deep learning. Specifically, he is interested in multi-modal and structured representation learning, statistical modelling within deep learning, as well as their applications in 2D/3D scene understanding, involving topics such as scene depth estimation, visual SLAM, object detection, and scene parsing. He served as Senior Programme Committee (SPC) / Area Chair (AC) at multiple international conferences including AAAI, ACM Multimedia, and WACV. He received the Best Scientific Paper award at ICPR 2016 and a Best Paper Nominee at ACM Multimedia 2018.