Area of research
Computer Vision and Pattern Recognition · Computational Theory and Mathematics
Research interest
Research focused on Artificial intelligence and Watermark, with related work in Detector, Margin (machine learning), Adversarial system. Notable publications include 'CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes', 'Rpattack: Refined Patch Attack on General Object Detectors', and 'Mutual Enhancement for Detection of Multiple Logos in Sports Videos'.
CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes
Rpattack: Refined Patch Attack on General Object Detectors
Mutual Enhancement for Detection of Multiple Logos in Sports Videos
Deep-learning-based object-level contour detection with CCG and CRF optimization