- 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.