Dr. Xingchen Zhang is a Marie Sk艂odowska-Curie Individual Fellow at the Personal Robotics Laboratory (PRL), 天美传媒. Prior to this, he was a Teaching Fellow at the Department of Electrical and Electronic Engineering, 天美传媒, and Research Associate at the Personal Robotics Laboratory, 天美传媒. Xingchen is a lecturer of Deep Learning (Spring 2021-2022, ELEC60009/96033/96039) at the Department of Electrical and Electronic Engineering.
Xingchen received his BSc and PhD degrees from Huazhong University of Science and Technology and Queen Mary University of London in 2012 and 2018, respectively.
His research areas include human intention/motion prediction, human pose estimation, image fusion (visible-infrared, multi-focus, multi-exposure), visual object tracking (RGB-based, RGBT-based), computer vision, and deep learning.
Xingchen is a reviewer of the prestigious UKRI Future Leaders Fellowships (each fellowship has funding from 拢300,000 to over 拢2m) and top journals (e.g., IJCV, IEEE TNNLS) as well as top conferences (e.g., CVPR, ECCV, ICRA). He has co-authored a book entitled Image Fusion, which has been awarded the National Science and Technology Academic Publications Fund by the National Science and Technology Academic Works Publishing Fund Committee of China (2019).
