2 code implementations • 12 Oct 2022 • Anjith George, Amir Mohammadi, Sebastien Marcel
The core idea of the proposed approach is to add a novel neural network block called Prepended Domain Transformer (PDT) in front of a pre-trained face recognition (FR) model to address the domain gap.
Ranked #1 on Face Recognitio on Pola thermal
no code implementations • 21 Feb 2022 • Anjith George, David Geissbuhler, Sebastien Marcel
Having a lot of sensors increases the cost of the system, and therefore an understanding of the performance of different sensors against a wide variety of attacks is necessary while selecting the modalities.
1 code implementation • CVPR 2021 • Anjith George, Sebastien Marcel
Automatic methods for detecting presentation attacks are essential to ensure the reliable use of facial recognition technology.
1 code implementation • 16 Nov 2020 • Anjith George, Sebastien Marcel
Although various methods have been suggested for detecting such attacks, most of them over-fit the training set and fail in generalizing to unseen attacks and environments.
no code implementations • 21 Sep 2020 • Zohreh Mostaani, Anjith George, Guillaume Heusch, David Geissbuhler, Sebastien Marcel
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, thermal, infrared (spectra), and short-wave infrared (spectra), and also a wide variety of attacks.
1 code implementation • 22 Jul 2020 • Anjith George, Sebastien Marcel
The proposed system is evaluated on the publicly available WMCA multi-channel face PAD database, which contains a wide variety of 2D and 3D attacks.
Ranked #1 on Face Anti-Spoofing on MLFP
no code implementations • 22 Jul 2020 • Guillaume Heusch, Anjith George, David Geissbuhler, Zohreh Mostaani, Sebastien Marcel
Conducted experiments show superior performance over similar models acting on either color images or on a combination of different modalities (visible, NIR, thermal and depth), as well as on a SVM-based classifier acting on SWIR image differences.
no code implementations • 30 Jun 2020 • Anjith George, Sebastien Marcel
In a typical face recognition pipeline, the task of the face detector is to localize the face region.
Ranked #1 on Face Presentation Attack Detection on WMCA (ACER@0.2BPCER metric)
1 code implementation • IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY 2019 • Anjith George, Zohreh Mostaani, David Geissenbuhler, Olegs Nikisins, Andre Anjos, Sebastien Marcel
We also introduce the new Wide Multi-Channel presentation Attack (WMCA) database for face PAD which contains a wide variety of 2D and 3D presentation attacks for both impersonation and obfuscation attacks.
Ranked #2 on Face Presentation Attack Detection on WMCA
4 code implementations • 9 Jul 2019 • Anjith George, Sebastien Marcel
The proposed approach achieves an HTER of 0% in Replay Mobile dataset and an ACER of 0. 42% in Protocol-1 of OULU dataset outperforming state of the art methods.
1 code implementation • 9 Jul 2019 • Olegs Nikisins, Anjith George, Sebastien Marcel
The proposed system is tested on a very recent publicly available multi-channel PAD database with a wide variety of presentation attacks.
1 code implementation • 20 Dec 2018 • Pavel Korshunov, Sebastien Marcel
The best performing method, which is based on visual quality metrics and is often used in presentation attack detection domain, resulted in 8. 97% equal error rate on high quality Deepfakes.