Chun Pong Lau
Scholar

Chun Pong Lau

Google Scholar ID: UYMV3qMAAAAJ
Assistant Professor, City University of Hong Kong
Image ProcessingScientific ComputingDeep LearningAdversarial Robustness
Citations & Impact
All-time
Citations
932
 
H-index
16
 
i10-index
21
 
Publications
20
 
Co-authors
7
list available
Resume (English only)
Academic Achievements
  • - Papers accepted by IEEE IJCB 2023, IEEE TPAMI, WACV 2023, FG 2023, CVPR 2022, IEEE TBIOM, IEEE JSTSP
  • - Published paper 'Segment and Complete: Defending Object Detectors against Adversarial Patch Attacks with Robust Patch Detection' in CVPR 2022
  • - Published paper 'ATFaceGAN: Single Face Semantic Aware Image Restoration and Recognition from Atmospheric Turbulence' in IEEE Transactions on Biometrics, Behavior, and Identity Science (TBIOM) 2021
  • - Published paper 'Semi-Supervised Landmark-Guided Restoration of Atmospheric Turbulent Images' in IEEE Journal of Selected Topics in Signal Processing (JSTSP) 2021
  • - Published paper 'Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial Attacks' in NeurIPS 2020
  • - Published paper 'ATFaceGAN: Single Face Image Restoration and Recognition from Atmospheric Turbulence' in IEEE International Conference and Workshops on Automatic Face and Gesture Recognition 2020
Research Experience
  • - Postdoctoral Fellow at Mathematical Institute for Data Science (MINDS), Johns Hopkins University, 2022-2023
Education
  • - Ph.D. in Computer Science, Johns Hopkins University, 2021, under the supervision of Bloomberg Distinguished Professor Rama Chellappa
  • - M.Phil. in Mathematics, The Chinese University of Hong Kong, 2018
  • - M.S. in Applied Mathematics, University of Maryland, College Park, 2020
  • - B.Sc. in Mathematics, The Chinese University of Hong Kong, 2016
Background
  • Research Interests: Developing reliable and robust computer vision algorithms, including Image Restoration, Adversarial Robustness, Biometrics at Long Distances, and Generative AI.
Miscellany
  • Contact: Email / GitHub / Google Scholar / LinkedIn / CV