With the advancement in face manipulation technologies, the importance o...
Face Anti-Spoofing (FAS) aims to detect malicious attempts to invade a f...
Learning generalized face anti-spoofing (FAS) models against presentatio...
Recently, vision transformer based multimodal learning methods have been...
Face Anti-Spoofing (FAS) is recently studied under the continual learnin...
Simulating the effects of skincare products on face is a potential new w...
The goal of Few-Shot Continual Learning (FSCL) is to incrementally learn...
Recently, vision transformer (ViT) based multimodal learning methods hav...
Filter pruning has been widely used for compressing convolutional neural...
Recapture detection of face and document images is an important forensic...
Face anti-spoofing (FAS) and face forgery detection play vital roles in
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Face presentation attack detection (PAD) has been extensively studied by...
Automatic assessment and understanding of facial skin condition have sev...
Face Anti-Spoofing (FAS) is essential to secure face recognition systems...
Inspired by the philosophy employed by human beings to determine whether...
Face Anti-Spoofing (FAS) is significant for the security of face recogni...