Cavan Loy 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 (acquired by Veritone), from 2010 to 2013.

His research interests include computer vision and deep learning with a focus on image/video restoration and enhancement, generative tasks, and representation learning. He and his research group pioneer the research in face detection, face alignment, and image super-resolution by deep learning. His journal paper on image super-resolution was selected as the Most Popular Article by IEEE Transactions on Pattern Analysis and Machine Intelligence in 2016. It remains as one of the top 10 non-survey articles to date. The work is also awarded the Test of Time Award by Technical Committee on Computer Vision of China Computer Federation (CCF-CV).

He is recognised as one of the 100 most influential scholars in computer vision from 2020 to 2024 by AMiner. His accolades include the, CCF-CV Test of Time Award, Nanyang Research Award, and the Singapore Open Research Award.

He served/serves as an Associate Editor of the Computer Vision and Image Understanding (CVIU), International Journal of Computer Vision (IJCV) and IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). He also serves/served as the Area Chair of top conferences such as ICCV, CVPR, ECCV, ICLR and NeurIPS. He will serve as the Programme Co-Chair of CVPR 2026. He has co-organised several workshops and challenges at major computer vision conferences.