Education

1. 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
2. B.Eng. Electronic Engineering (1^st class honours), University of Science Malaysia, 2005
   Thesis: A Pressure-based Typing Biometrics System for User Authentication
   Advisor: Chee Peng Lim

Professional Experience

1. Nanyang Technological University, Singapore
   • President's Chair Professor, Apr 2024-Present
   • Professor, Sep 2023-Present
   • Nanyang Associate Professor, Apr 2019-Aug 2023
   • Associate Professor, Aug 2018-Mar 2019
2. The Chinese University of Hong Kong
   • Adjunct Associate Professor, Aug 2018-Present
   • Research Assistant Professor, Mar 2013-Jul 2018
3. Vision Semantics Limited, United Kingdom
   • Postdoctoral Researcher, Jan 2012-Feb 2013
     Projects: GETAWAY
4. Queen Mary University of London, United Kingdom
   • Postdoctoral Researcher, Dec 2010-Dec 2011
     Projects: SAMURAI
5. 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
  • International Journal of Computer Vision, 2018-Present
  • Computer Vision and Image Understanding, 2023-Present
  • IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019-2024
  • IET Computer Vision Journal, 2015-2020
• Area chair
  • CVPR 2025, 2024, 2023, 2021, 2019
  • ICCV 2025, 2023, 2021
  • ECCV 2024, 2022, 2018
  • ICLR 2025, 2024
  • AAAI 2023, 2022, 2021
  • BMVC 2021, 2020, 2019, 2018
  • NeurIPS 2023
  • NeurIPS 2022 Datasets and Benchmarks Track
• 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
  • Program co-chair, CVPR 2026
  • Co-chair, ACM MM 2024 Brave New Ideas Track
  • Corporate relation co-chair, Ethics co-chair, ICCV 2019
  • Program co-chair, Mobile Intelligent Photograph and Imaging Workshop, ECCV 2022, CVPR 2023
  • Program co-chair, WIDER Face and Pedestrian Challange, ECCV 2018, ICCV 2019
  • Workshop chair, ICONIP 2014

Teaching

• NTU: AI6126 MSAI Advanced Computer Vision: 2020-2024 (with Ziwei Liu)
• NTU: CE7491 Advanced Digital Image Processing: 2019-2024 (with Tat-Jen Cham)
• NTU: SC4001 Neural Networks and Deep Learning: 2019-2024 (with Jagath C Rajapakse and Alvin Chan)
• CUHK: IERG6210 Advanced Topics in Information Processing: 2018
• CUHK: IERG4160 Image and Video Processing: 2014-2017

Honours and Awards

Academic and other Recognition

• Nanyang Research Award, 2024
• Singapore Open Research Award, 2024
• Test of Time Award, CCF-CV, 2024
• President's Chair Professorship, 2024
• WAIC Youth Outstanding Paper Award Honorable Mention, 2023
• Honorable Mention, AI 2000 Computer Vision Most Influential Scholar Award, AMiner, 2020, 2021, 2022, 2023, 2024
• Nanyang Associate Professorship (Career Award), 2019
• Best Application Paper Honorable Mention, Asian Conference on Computer Vision, 2016
• Best Student Invention Award, Silver Award (as supervisor), Hong Kong ICT Awards, 2016
• Outstanding Reviewer, CVPR 2017, BMVC 2017, ACCV 2014
• Gold Medal Award, The 34^th 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
• Hall of Fame Award, Product Research Category, University of Science Malaysia, 2005-2006

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
• 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
• Honorary Mention, National Instruments ASEAN Virtual Instrumentation Applications Contest, 2005 [PDF]

Selected Talks

• Improving Generalization in Image Restoration via ‘Unconventional' Losses
  Invited Talk, ACCV 2024 Workshop on Rich Media with Generative AI, December 2024
  Invited Talk, Xi'an Jiaotong University, June 2024
  
• Harnessing Diffusion Prior for Content Enhancement and Creation
  Invited Talk, University of Tokyo, April 2024
  Invited Talk, Annual ShanghaiTech Symposium on Information Science and Technology, Shanghai, China, September 2023
  
• Harnessing Generative Priors for Visual Content Restoration
  Lecture, IAPR/IEEE Winter School on Biometrics, Shenzhen, China, January 2024
  
• Image and Video Restoration
  Lecture, DeepLearn 2023 Summer, 10th International Gran Canaria School on Deep Learning, Las Palmas de Gran Canaria, Spain, July 2023
  
• Harnessing Generative Priors for Image Super-Resolution
  Invited Talk, 18th IEEE Computer Society Workshop on Biometrics 2023, Vancouver, Canada, June 2023
  
• Generative Reconstruction Models for Low-Quality Face Images
  Lecture, IAPR/IEEE Winter School on Biometrics, Shenzhen, China, January 2023
  
• Joint Low-light Enhancement and Deblurring in the Dark
  Invited Talk, Google Computational Imaging Workshop, Virtual, August 2022
  
• Improving Video Super-Resolution with Enhanced Propagation and Alignment
  Invited Talk, CVPR Tutorial on OpenMMLab, New Orleans, USA, June 2022
  
• Training Generative Adversarial Networks with Limited Data
  Keynote, The Third Workshop on Fair, Data-Efficient and Trusted Computer Vision (TCV 2022), New Orleans, USA, June 2022
  
• Deep Learning Is Shaping the Future of Content Creation
  Invited Talk, SupercomputingAsia 2022 (SCA22), Singapore, March 2022
  
• 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, April 2018
• The Path Toward Tomorrow's AI
  Keynote, SupercomputingAsia 2018 (SCA18), Singapore, March 2018
  
• Deep Learning in Face Analysis
  Lecture, IAPR/IEEE Winter School on Biometrics, Shenzhen, China, February 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, January 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, November 2016
• From Facial Expression Recognition to Interpersonal Relation Prediction
  Keynote, ACCV Workshop on Computer Vision for Affective Computing, Taipei, Taiwan, November 2016
• Deep Learning in Face Analysis: Face Hallucination
  Keynote, ACCV Workshop on Facial Informatics, Taipei, Taiwan, November 2016
• Learning Deep Representation for Imbalanced Classification
  Keynote, ACCV Workshop on Human Identification for Surveillance, Taipei, Taiwan, November 2016
• Deep Learning in Computer Vision
  Invited Talk, University of Nottingham, Malaysia, Septemper 2016
• Learning Deep Representation for Imbalanced Classification
  Invited Talk, Sun Yat-sen University, China, May 2016