3 citations · 5 across the 11 of their papers we have counts for
7 papers · 1 filter
UMCL: Unimodal-generated Multimodal Contrastive Learning for Cross-compression-rate Deepfake Detection
Ching-Yi Lai, Chih-Yu Jian, Pei-Cheng Chuang +4
In deepfake detection, the varying degrees of compression employed by social media platforms pose significant challenges for model generalization and reliability. Although existing…
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…
Ultra-Short rPPG Estimation via Periodicity Guidance and Signal Reconstruction
Pei-Kai Huang, Ya-Ting Chan, Kuan-Wen Chen +3
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…
Enhancing Learnable Descriptive Convolutional Vision Transformer for Face Anti-Spoofing
Pei-Kai Huanga, Jun-Xiong Chong, Ming-Tsung Hsu +2
Face anti-spoofing (FAS) heavily relies on identifying live/spoof discriminative features to counter face presentation attacks. Recently, we proposed LDCformer to successfully inco…
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…
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…