7 papers
Ultra-Short rPPG Estimation via Periodicity Guidance and Signal Reconstruction
Pei-Kai Huang, Pei-Kai Huanga, Ya-Ting Chan +4
Many remote Heart Rate (HR) measurement methods focus on estimating remote photoplethysmography (rPPG) signals from video clips lasting around 10 seconds but often overlook the nee…
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…
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…
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…
DD-rPPGNet: De-interfering and Descriptive Feature Learning for Unsupervised rPPG Estimation
Pei-Kai Huang, Tzu-Hsien Chen, Ya-Ting Chan +2
Remote Photoplethysmography (rPPG) aims to measure physiological signals and Heart Rate (HR) from facial videos. Recent unsupervised rPPG estimation methods have shown promising po…
SLIP: Spoof-Aware One-Class Face Anti-Spoofing with Language Image Pretraining
Pei-Kai Huang, Jun-Xiong Chong, Cheng-Hsuan Chiang +3
Face anti-spoofing (FAS) plays a pivotal role in ensuring the security and reliability of face recognition systems. With advancements in vision-language pretrained (VLP) models, re…