Chen Change Loy is a Nanyang Associate Professor with the School of Computer Science and Engineering, Nanyang Technological University, Singapore. He is also an Adjunct Associate Professor at the Chinese University of Hong Kong, and 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. 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 a focus on image/video restoration and enhancement, generative tasks, and representation learning. He has published more than 120 papers in top journals and conferences of computer vision and machine 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 articles to date.

He is recognized as one of the 100 most influential scholars in computer vision by AMiner. He received the Nanyang Associate Professorship Award in 2019. He was selected as the outstanding reviewer of ACCV 2014, BMVC 2017, and CVPR 2017.

He serves as an Associate Editor of the 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 ICCV 2021, AAAI 2021, CVPR 2021, CVPR 2019, BMVC 2019, ECCV 2018, and BMVC 2018. He has co-organized several workshops and challenges at major computer vision conferences. He is a senior member of IEEE.
Education

    Ph.D. Computer Science, Queen Mary University of London, 2010
    Thesis: Activity Understanding and Unusual Event Detection in Surveillance Videos
    Advisors: Tao Xiang and Shaogang Gong
    Thesis committee: Tim Ellis and Gabriel Brostow
    B.Eng. Electronic Engineering (1st class honours), University of Science Malaysia, 2005
    Thesis: A Pressure-based Typing Biometrics System for User Authentication
    Advisor: Chee Peng Lim

Professional Experience

    Nanyang Technological University, Singapore
        Nanyang Associate Professor, Apr 2019-Present
        Associate Professor, Aug 2018-Mar 2019
    The Chinese University of Hong Kong
        Adjunct Associate Professor, Aug 2018-Present
        Research Assistant Professor, Mar 2013-Jul 2018
    Vision Semantics Limited, United Kingdom
        Postdoctoral Researcher, Jan 2012-Feb 2013
        Projects: GETAWAY
    Queen Mary University of London, United Kingdom
        Postdoctoral Researcher, Dec 2010-Dec 2011
        Projects: SAMURAI
    MIMOS Berhad, Malaysia
        Researcher, Jul 2007-Aug 2007
        Associate Researcher, May 2005-Jul 2007
        Research Assistant, Mar 2004-May 2004

Services and Activities

    Associate editor
        IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019-Present
        International Journal of Computer Vision, 2018-Present
        IET Computer Vision Journal, 2015-2020
    Area chair
        CVPR 2021, 2019
        ICCV 2021
        ECCV 2018
        AAAI 2022, 2021
        BMVC 2021, 2020, 2019, 2018
    Guest editor
        Lead guest editor, International Journal of Computer Vision Special Issue on "Deep Learning for Face Analysis"
        Guest editor, Computer Vision and Image Understanding Special Issue on "Image and Video Understanding in Big Data"
    Conference and workshop committee
        Corporate relation co-chair, Ethics co-chair, ICCV 2019
        Program co-chair, WIDER Face and Pedestrian Challange, ECCV 2018, ICCV 2019
        Workshop chair, ICONIP 2014

Teaching

    NTU: CE6126 MSAI Advanced Computer Vision: Fall 2020 (with Ziwei Liu)
    NTU: CE7491 Advanced Digital Image Processing: Fall 2020, Fall 2019 (with Tat-Jen Cham)
    NTU: CZ4042 Neural Networks and Deep Learning: Fall 2020, Fall 2019 (with Jagath C Rajapakse)
    NTU: CZ3005 Artificial Intelligence (Tutorial): Spring 2021, 2020, 2019
    NTU: CE1006 Computer Organization and Architecture (Tutorial): Fall 2019, Spring 2019
    NTU: CE1005 Digital Logic (Lab, Tutorial): Fall 2018
    CUHK: IERG6210 Advanced Topics in Information Processing: Spring 2018
    CUHK: IERG4160 Image and Video Processing: Spring 2017, Spring 2016, Spring 2015, Spring 2014

Honours and Awards
Competitions and Challenges

    Three Champions, NTIRE 2021 Challenge on Video Restoration and Enhancement, 2021
    Best Neural Planning Metric (PKL), second runner-up, nuScenes Detection Challenge of 5th AI Driving Olympics, NeurIPS 2020
    Champion, COCO 2019 Object Detection Challenge (Without External Data), 2019
    Champions of all four tracks, Facebook AI Self-Supervision Challenge, 2019
    Champion, Open Images Challenge (Object Detection), 2019
    Champions of all four tracks, NTIRE 2019 Challenge on Video Restoration and Enhancement, 2019
    Champion, COCO Object Detection Challenge, 2018
    Champion, PIRM Challenge on Perceptual Super-Resolution (Third Region), 2018
    First Runner-up, DAVIS Challenge on Video Object Segmentation, 2018 [Technical Report]
    First Runner-up, NTIRE 2018 Challenge on Single Image Super-Resolution, 2018
    Champion, DAVIS Challenge on Video Object Segmentation, 2017 [PDF]
    First Runner-up, NTIRE 2017 Challenge on Single Image Super-Resolution, 2017 [PDF]
    Second Runner-up in ImageNet Large Scale Visual Recognition Challenge (ILSVRC) object classification task, 2016
    Hong Kong ICT Awards, Best Student Invention Award, Silver Award (as supervisor), 2016
    Champion in ICDAR 2015 Competition on Text Image Super-Resolution, 2015
    Runner-up in ImageNet Large Scale Visual Recognition Challenge (ILSVRC) object detection task, 2014
    Gold Medal Award, The 34th International Exhibition of Inventions, New Techniques and Products of Geneva, 2006
    Gold Medal Award, Malaysia Public Institutions of Higher Learning R&D Expo, 2005
    Special Award for ICT cluster, Malaysia Public Institutions of Higher Learning R&D Expo, 2005
    Honorary Mention, National Instruments ASEAN Virtual Instrumentation Applications Contest, 2005 [PDF]
    Hall of Fame Award, Product Research Category, University of Science Malaysia, 2005-2006

Academic and other Recognition

    Honorable Mention, AI 2000 Computer Vision Most Influential Scholar Award, AMiner, 2020
    Nanyang Associate Professorship (Career Award), 2019
    Outstanding Reviewer, British Machine Vision Conference, 2017
    Outstanding Reviewer, IEEE Conference on Computer Vision and Pattern Recognition, 2017
    Best Application Paper Honorable Mention, Asian Conference on Computer Vision, 2016
    Outstanding Reviewer, Asian Conference on Computer Vision, 2014

Selected Talks

    Generative Latent Bank for Large-Factor Image Super-Resolution
    Invited Talk, CVPR Tutorial on OpenMMLab, June 2021
    [Slides]
    Deep Generative Prior
    Invited Talk, AI Technology Summer School, August 2021
    Invited Talk, Baidu Research, February 2021
    Invited Talk, CCV-CV 底层视觉的前沿进展与未来趋势, January 2021
    Keynote, The International Conference on Digital Image Computing: Techniques and Applications (DICTA), December 2020
    [Slides]
    Deep Learning in Computer Vision
    Invited Talk, TF–NTU AI Asia, December 2020
    Deep Learning in Computer Vision
    Invited Talk, The Institution of Engineers Malaysia, December 2020
    An Introduction to Deepfakes
    Invited Talk, Interpol Virtual Discussion Room, Audio and Video Forensic in the Era of Artificial Intelligence, November 2020
    Blurring The Line between Real and the Fake
    Invited Talk, VALSE, August 2020
    [Slides]
    Content-Aware Reassembly of Features
    Invited Talk, CVPR Workshop on Large-Scale Video Object Segmentation Challenge, Seoul, Korea, October 2019
    [Slides]
    Blurring The Line between Real and the Fake
    Invited Talk, APAC HPC-AI Competition, Singapore, August 2019
    Towards Versatile Image Restoration
    Invited Talk, CVPR NTIRE 2019, Long Beach, CA, USA, June 2019
    [Slides]
    AI & Deep Learning Workshop, 人工智慧深度学习工作坊
    Lecture, National Taiwan University of Science and Technology, Taipei, December 2018
    Deep Learning for Face Recognition
    Invited Talk, Foxlink, Taipei, December 2018
    Deep Image Super-Resolution
    Invited Talk, National Tsing Hua University, Taiwan, December 2018
    AI is Powering the Future
    Keynote, 人工智慧与智慧制造论坛, National Taiwan University of Science and Technology, Taipei, December 2018
    Creating a Network of Smart Cities as a Booster of Growth and Technology Innovation
    Panel, FutureChina Global Forum, Singapore, August 2018
    Large-Scale Deep Learning for Face Recognition
    Invited Talk, APAC HPC-AI Competition, Singapore, August 2018
    Face Recognition by Deep Learning - The Imbalance Problem
    Invited Talk, CVPR Workshop on Biometrics 2018, Salt Lake City, Utah, USA, June 2018
    [Slides]
    From Image Super-Resolution to Face Hallucination
    Guest Lecture, The Hong Kong University of Science and Technology, Hong Kong, Apr 2018
    The Path Toward Tomorrow's AI
    Keynote, SupercomputingAsia 2018 (SCA18), Singapore, Mar 2018
    Deep Learning in Face Analysis
    Lecture, IAPR/IEEE Winter School on Biometrics, Shenzhen, China, Feb 2018
    [Slides]
    Pedestrian Color Naming and Attribute Recognition
    Keynote, ICME Workshop on Human Identification in Multimedia, Hong Kong, July 2017
    Deep Learning - Current and Future Research Challenges
    IEEE CIS Invited Lecture Program (ILP), Malaysia, June 2017
    图像超分辨率的最新进展
    Invited Talk, Fudan University, China, May 2017
    Deep Learning in Face Analysis
    Lecture, IAPR/IEEE Winter School on Biometrics, Hong Kong Baptist University, Hong Kong, Jan 2017
    [Slides]
    深度学习下的超分辨率图像重建和人脸幻构
    Seminar, Tsinghua University, Beijing, China, Nov 2016
    From Facial Expression Recognition to Interpersonal Relation Prediction
    Keynote, ACCV Workshop on Computer Vision for Affective Computing, Taipei, Taiwan, Nov 2016
    Deep Learning in Face Analysis: Face Hallucination
    Keynote, ACCV Workshop on Facial Informatics, Taipei, Taiwan, Nov 2016
    Learning Deep Representation for Imbalanced Classification
    Keynote, ACCV Workshop on Human Identification for Surveillance, Taipei, Taiwan, Nov 2016
    Deep Learning in Computer Vision
    Invited Talk, University of Nottingham, Malaysia, Sep 2016
    Learning Deep Representation for Imbalanced Classification
    Invited Talk, Sun Yat-sen University, China, May 2016