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20152024
most citedBiometric Face Presentation Attack Detection with Multi-Channel Convolutional Neural Network

269 citations · 721 across the 25 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.CV2020

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…

cs.CV2020★ 14 cited

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…

cs.CV2020★ 4 cited

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…

cs.CV2020

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…

cs.CV2020★ 1 cited

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…