Chen Change Loy is a Research Assistant Professor in the Chinese University of Hong Kong. He is also a visiting scholar of Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China. He received his PhD (2010) in Computer Science from the Queen Mary University of London (Vision Group). From Dec. 2010 – Mar. 2013, he was a postdoctoral researcher at Queen Mary University of London and Vision Semantics Limited. His research interests include computer vision and pattern recognition, with focus on face analysis, deep learning, and visual surveillance. He has published more than 70 papers, including over 40 publications in main journals (e.g. TPAMI, IJCV, PR) and top conferences (e.g. ICCV, CVPR, ECCV). His journal paper on image super-resolution was selected as the `Most Popular Article' by IEEE Transactions on Pattern Analysis and Machine Intelligence from March 2016 to August 2016. It remains as one of the top 10 articles to date. He serves as an Associate Editor of IET Computer Vision Journal and a Guest Editor of the Computer Vision and Image Understanding Special Issue on "Image and Video Understanding in Big Data".

Computer Vision Pattern Recognition Video Processing