Chen Change Loy is an Associate Professor with the School of Computer Science and Engineering, Nanyang Technological University, Singapore. He also serves an Adjunct Associate Professor at the Chinese University of Hong Kong. He received his PhD (2010) in Computer Science from the Queen Mary University of London. Prior to joining NTU, he served as a Research Assistant Professor at the MMLab of the Chinese University of Hong Kong, from 2013 to 2018. He was a postdoctoral researcher at Queen Mary University of London and Vision Semantics Limited, from 2010 to 2013.
His research interests include computer vision and deep learning, with focus on face analysis, image processing, deep learning, and visual surveillance. He serves as an Associate Editor of the International Journal of Computer Vision. He currently also serves as an Area Chair of ECCV 2018 and BMVC 2018. He is a senior member of IEEE.
08/2018: Our SuperSR team won the third track of the 2018 PIRM Challenge on Perceptual Super-Resolution. Congratulation to Xintao Wang and the team!
08/2018: The winners of WIDER Face and Pedestrian Challenge announced. Congrats to the winners!
08/2018: I move to Nanyang Technological University.
07/2018: I will serve as the corporate relation chair of ICCV 2019.
07/2018: Seven papers accepted at ECCV 2018.
07/2018: Congratulations to Xiaoxiao Li, who successfully defended his PhD thesis. Congrats!
06/2018: We won the NTIRE 2018 Challenge on Single Image Super-Resolution as first runner-up and ranked the first in the 'Realistic Wild ×4 adverse conditions' track. Congratulation to Xintao Wang and the team. Check the report for more details.
04/2018: We organize a new challenge WIDER Face and Pedestrian Challenge in conjunction with ECCV 2018. There are three exciting tracks with great prizes. Deadline of challenge: July 8, 2018
03/2018: I will serve as the area chair of ECCV 2018 and BMVC 2018.
02/2018: Five papers accepted at CVPR 2018. Two spotlights and three posters.
02/2018: International Journal on Computer Vision Special Issue on Deep Learning for Face Analysis. Submission Closed.