Dan Xu

Dr. Dan Xu is an Assistant Professor in the Department of Computer Science and Engineering (CSE) at the Hong Kong University of Science and Technology (HKUST). His research focuses on vision and graphics, specifically computer vision, multimedia, and machine learning. His work includes multi-modal and structured representation learning, statistical modeling within deep learning, and applications in 2D/3D scene understanding, such as scene depth estimation, visual SLAM, object detection, and scene parsing. He has 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 was a Best Paper Nominee at ACM Multimedia 2018.

Dan Xu is an Assistant Professor in the Department of Computer Science and Engineering at the Hong Kong University of Science and Technology. His research focuses on Computer Vision, Multimedia, and Deep Learning, with a particular emphasis on video analysis, scene understanding, and generative modeling. Xu's work explores methods for detecting anomalous events in videos, improving depth estimation, and enhancing image translation through attention mechanisms and generative adversarial networks. His research also addresses challenges in monocular depth estimation, person re-identification, and robust pedestrian detection. By integrating deep learning with structured representations and multi-task learning, Xu contributes to advancing multimedia and computer vision technologies.