4 citations · 13 across the 7 of their papers we have counts for
7 papers
S-Adapter: Generalizing Vision Transformer for Face Anti-Spoofing with Statistical Tokens
Rizhao Cai, Zitong Yu, Chenqi Kong +4
Face Anti-Spoofing (FAS) aims to detect malicious attempts to invade a face recognition system by presenting spoofed faces. State-of-the-art FAS techniques predominantly rely on de…
Hyperbolic Face Anti-Spoofing
Shuangpeng Han, Rizhao Cai, Yawen Cui +3
Learning generalized face anti-spoofing (FAS) models against presentation attacks is essential for the security of face recognition systems. Previous FAS methods usually encourage…
Beyond the Prior Forgery Knowledge: Mining Critical Clues for General Face Forgery Detection
Anwei Luo, Chenqi Kong, Jiwu Huang +3
Face forgery detection is essential in combating malicious digital face attacks. Previous methods mainly rely on prior expert knowledge to capture specific forgery clues, such as n…
Self-Supervised 3D Action Representation Learning with Skeleton Cloud Colorization
Siyuan Yang, Jun Liu, Shijian Lu +3
3D Skeleton-based human action recognition has attracted increasing attention in recent years. Most of the existing work focuses on supervised learning which requires a large numbe…
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…
Rethinking Vision Transformer and Masked Autoencoder in Multimodal Face Anti-Spoofing
Zitong Yu, Rizhao Cai, Yawen Cui +3
Recently, vision transformer (ViT) based multimodal learning methods have been proposed to improve the robustness of face anti-spoofing (FAS) systems. However, there are still no w…
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…