33 citations · 86 across the 7 of their papers we have counts for
8 papers
Open-set Adversarial Defense with Clean-Adversarial Mutual Learning
Rui Shao, Pramuditha Perera, Pong C. Yuen +1
Open-set recognition and adversarial defense study two key aspects of deep learning that are vital for real-world deployment. The objective of open-set recognition is to identify s…
Federated Test-Time Adaptive Face Presentation Attack Detection with Dual-Phase Privacy Preservation
Rui Shao, Bochao Zhang, Pong C. Yuen +1
Face presentation attack detection (fPAD) plays a critical role in the modern face recognition pipeline. The generalization ability of face presentation attack detection models to…
Open-set Adversarial Defense
Rui Shao, Pramuditha Perera, Pong C. Yuen +1
Open-set recognition and adversarial defense study two key aspects of deep learning that are vital for real-world deployment. The objective of open-set recognition is to identify s…
Self-supervised Temporal Discriminative Learning for Video Representation Learning
Jinpeng Wang, Yiqi Lin, Andy J. Ma +1
Temporal cues in videos provide important information for recognizing actions accurately. However, temporal-discriminative features can hardly be extracted without using an annotat…
Federated Face Presentation Attack Detection
Rui Shao, Pramuditha Perera, Pong C. Yuen +1
Face presentation attack detection (fPAD) plays a critical role in the modern face recognition pipeline. A face presentation attack detection model with good generalization can be…
Regularized Fine-grained Meta Face Anti-spoofing
Rui Shao, Xiangyuan Lan, Pong C. Yuen
Face presentation attacks have become an increasingly critical concern when face recognition is widely applied. Many face anti-spoofing methods have been proposed, but most of them…