activity
20192025
most citedDRL-FAS: A Novel Framework Based on Deep Reinforcement Learning for Face Anti-Spoofing

98 citations · 144 across the 20 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.LG2022

Toward domain generalized pruning by scoring out-of-distribution importance

Rizhao Cai, Haoliang Li, Alex Kot

Filter pruning has been widely used for compressing convolutional neural networks to reduce computation costs during the deployment stage. Recent studies have shown that filter pru…

cs.CV2022

Forensicability Assessment of Questioned Images in Recapturing Detection

Changsheng Chen, Lin Zhao, Rizhao Cai +3

Recapture detection of face and document images is an important forensic task. With deep learning, the performances of face anti-spoofing (FAS) and recaptured document detection ha…

cs.CV2022★ 7 cited

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…

cs.CV2022

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…

cs.CV2022★ 2 cited

Automatic Facial Skin Feature Detection for Everyone

Qian Zheng, Ankur Purwar, Heng Zhao +11

Automatic assessment and understanding of facial skin condition have several applications, including the early detection of underlying health problems, lifestyle and dietary treatm…