91 citations · 99 across the 5 of their papers we have counts for
5 papers
Rehearsal-Free Domain Continual Face Anti-Spoofing: Generalize More and Forget Less
Rizhao Cai, Yawen Cui, Zhi Li +4
Face Anti-Spoofing (FAS) is recently studied under the continual learning setting, where the FAS models are expected to evolve after encountering the data from new domains. However…
Benchmarking Joint Face Spoofing and Forgery Detection with Visual and Physiological Cues
Zitong Yu, Rizhao Cai, Zhi Li +3
Face anti-spoofing (FAS) and face forgery detection play vital roles in securing face biometric systems from presentation attacks (PAs) and vicious digital manipulation (e.g., deep…
One-Class Knowledge Distillation for Face Presentation Attack Detection
Zhi Li, Rizhao Cai, Haoliang Li +3
Face presentation attack detection (PAD) has been extensively studied by research communities to enhance the security of face recognition systems. Although existing methods have ac…
Asymmetric Modality Translation For Face Presentation Attack Detection
Zhi Li, Haoliang Li, Xin Luo +3
Face presentation attack detection (PAD) is an essential measure to protect face recognition systems from being spoofed by malicious users and has attracted great attention from bo…
Learning Meta Pattern for Face Anti-Spoofing
Rizhao Cai, Zhi Li, Renjie Wan +3
Face Anti-Spoofing (FAS) is essential to secure face recognition systems and has been extensively studied in recent years. Although deep neural networks (DNNs) for the FAS task hav…