126 citations · 258 across the 13 of their papers we have counts for
19 papers · 1 filter
Cross Modal Focal Loss for RGBD Face Anti-Spoofing
Anjith George, Sebastien Marcel
Automatic methods for detecting presentation attacks are essential to ensure the reliable use of facial recognition technology. Most of the methods available in the literature for…
On the Effectiveness of Vision Transformers for Zero-shot Face Anti-Spoofing
Anjith George, Sebastien Marcel
The vulnerability of face recognition systems to presentation attacks has limited their application in security-critical scenarios. Automatic methods of detecting such malicious at…
The High-Quality Wide Multi-Channel Attack (HQ-WMCA) database
Zohreh Mostaani, Anjith George, Guillaume Heusch +2
The High-Quality Wide Multi-Channel Attack database (HQ-WMCA) database extends the previous Wide Multi-Channel Attack database(WMCA), with more channels including color, depth, the…
Can Your Face Detector Do Anti-spoofing? Face Presentation Attack Detection with a Multi-Channel Face Detector
Anjith George, Sebastien Marcel
In a typical face recognition pipeline, the task of the face detector is to localize the face region. However, the face detector localizes regions that look like a face, irrespecti…
Deep Models and Shortwave Infrared Information to Detect Face Presentation Attacks
Guillaume Heusch, Anjith George, David Geissbuhler +2
This paper addresses the problem of face presentation attack detection using different image modalities. In particular, the usage of short wave infrared (SWIR) imaging is considere…
Learning One Class Representations for Face Presentation Attack Detection using Multi-channel Convolutional Neural Networks
Anjith George, Sebastien Marcel
Face recognition has evolved as a widely used biometric modality. However, its vulnerability against presentation attacks poses a significant security threat. Though presentation a…