Bio: Loy Chen Change, PhD, is a senior research consultant at SenseTime. He is also an Adjunct Assistant Professor in the Chinese University of Hong Kong. He received his PhD (2010) in Computer Science from Queen Mary University of London. His research interests include computer vision and pattern recognition, with focus on face analysis, deep learning, and visual surveillance. He has published more than 90 papers in top journals and conferences of computer vision and machine 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. He serves as an Associate Editor of IET Computer Vision Journal and a Guest Editor of the International Journal of Computer Vision. He is a senior member of IEEE.

Abstract: In this talk, I will discuss how computer vision and AI-powered deep learning help us recognize faces and objects, and understand the world. I will also share our on-going efforts in developing new AI technologies, for example, deep networks that can enhance images or hallucinate faces of very low resolution.