3 papers
cs.CV2026
Self-supervised Feature Disentanglement and Augmentation Network for One-class Face Anti-spoofing
Pei-Kai Huang, Jun-Xiong Chong, Ming-Tsung Hsu +5
Face anti-spoofing (FAS) techniques aim to enhance the security of facial identity authentication by distinguishing authentic live faces from deceptive attempts. While two-class FA…
cs.CV2025
Robust Multi-Modal Face Anti-Spoofing with Domain Adaptation: Tackling Missing Modalities, Noisy Pseudo-Labels, and Model Degradation
Ming-Tsung Hsu, Fang-Yu Hsu, Yi-Ting Lin +6
Recent multi-modal face anti-spoofing (FAS) methods have investigated the potential of leveraging multiple modalities to distinguish live and spoof faces. However, pre-adapted mult…
cs.CV2025
Multi-Modal Face Anti-Spoofing via Cross-Modal Feature Transitions
Jun-Xiong Chong, Fang-Yu Hsu, Ming-Tsung Hsu +4
Multi-modal face anti-spoofing (FAS) aims to detect genuine human presence by extracting discriminative liveness cues from multiple modalities, such as RGB, infrared (IR), and dept…