22 citations · 57 across the 4 of their papers we have counts for
8 papers
Physics-Guided Spoof Trace Disentanglement for Generic Face Anti-Spoofing
Yaojie Liu, Xiaoming Liu
Prior studies show that the key to face anti-spoofing lies in the subtle image pattern, termed "spoof trace", e.g., color distortion, 3D mask edge, Moire pattern, and many others.…
On Disentangling Spoof Trace for Generic Face Anti-Spoofing
Yaojie Liu, Joel Stehouwer, Xiaoming Liu
Prior studies show that the key to face anti-spoofing lies in the subtle image pattern, termed "spoof trace", e.g., color distortion, 3D mask edge, Moire pattern, and many others.…
Noise Modeling, Synthesis and Classification for Generic Object Anti-Spoofing
Joel Stehouwer, Amin Jourabloo, Yaojie Liu +1
Using printed photograph and replaying videos of biometric modalities, such as iris, fingerprint and face, are common attacks to fool the recognition systems for granting access as…
Deep Tree Learning for Zero-shot Face Anti-Spoofing
Yaojie Liu, Joel Stehouwer, Amin Jourabloo +1
Face anti-spoofing is designed to keep face recognition systems from recognizing fake faces as the genuine users. While advanced face anti-spoofing methods are developed, new types…
Aurora Guard: Real-Time Face Anti-Spoofing via Light Reflection
Yao Liu, Ying Tai, Jilin Li +6
In this paper, we propose a light reflection based face anti-spoofing method named Aurora Guard (AG), which is fast, simple yet effective that has already been deployed in real-wor…
Face De-Spoofing: Anti-Spoofing via Noise Modeling
Amin Jourabloo, Yaojie Liu, Xiaoming Liu
Many prior face anti-spoofing works develop discriminative models for recognizing the subtle differences between live and spoof faces. Those approaches often regard the image as an…