no code implementations • 22 Apr 2024 • Anjith George, Sebastien Marcel
In our work, we view different modalities as distinct styles and propose a method to modulate feature maps of the target modality to address the domain gap.
no code implementations • 22 Apr 2024 • Anjith George, Sebastien Marcel
Heterogeneous Face Recognition (HFR) aims to expand the applicability of Face Recognition (FR) systems to challenging scenarios, enabling the matching of face images across different domains, such as matching thermal images to visible spectra.
2 code implementations • 16 Apr 2024 • Ivan DeAndres-Tame, Ruben Tolosana, Pietro Melzi, Ruben Vera-Rodriguez, Minchul Kim, Christian Rathgeb, Xiaoming Liu, Aythami Morales, Julian Fierrez, Javier Ortega-Garcia, Zhizhou Zhong, Yuge Huang, Yuxi Mi, Shouhong Ding, Shuigeng Zhou, Shuai He, Lingzhi Fu, Heng Cong, Rongyu Zhang, Zhihong Xiao, Evgeny Smirnov, Anton Pimenov, Aleksei Grigorev, Denis Timoshenko, Kaleb Mesfin Asfaw, Cheng Yaw Low, Hao liu, Chuyi Wang, Qing Zuo, Zhixiang He, Hatef Otroshi Shahreza, Anjith George, Alexander Unnervik, Parsa Rahimi, Sébastien Marcel, Pedro C. Neto, Marco Huber, Jan Niklas Kolf, Naser Damer, Fadi Boutros, Jaime S. Cardoso, Ana F. Sequeira, Andrea Atzori, Gianni Fenu, Mirko Marras, Vitomir Štruc, Jiang Yu, Zhangjie Li, Jichun Li, Weisong Zhao, Zhen Lei, Xiangyu Zhu, Xiao-Yu Zhang, Bernardo Biesseck, Pedro Vidal, Luiz Coelho, Roger Granada, David Menotti
Synthetic data is gaining increasing relevance for training machine learning models.
no code implementations • 6 Apr 2024 • Hatef Otroshi Shahreza, Christophe Ecabert, Anjith George, Alexander Unnervik, Sébastien Marcel, Nicolò Di Domenico, Guido Borghi, Davide Maltoni, Fadi Boutros, Julia Vogel, Naser Damer, Ángela Sánchez-Pérez, EnriqueMas-Candela, Jorge Calvo-Zaragoza, Bernardo Biesseck, Pedro Vidal, Roger Granada, David Menotti, Ivan DeAndres-Tame, Simone Maurizio La Cava, Sara Concas, Pietro Melzi, Ruben Tolosana, Ruben Vera-Rodriguez, Gianpaolo Perelli, Giulia Orrù, Gian Luca Marcialis, Julian Fierrez
The submitted models were trained on existing and also new synthetic datasets and used clever methods to improve training with synthetic data.
no code implementations • 28 Feb 2024 • Alexander Unnervik, Hatef Otroshi Shahreza, Anjith George, Sébastien Marcel
Backdoor attacks allow an attacker to embed a specific vulnerability in a machine learning algorithm, activated when an attacker-chosen pattern is presented, causing a specific misprediction.
1 code implementation • 17 Nov 2023 • Pietro Melzi, Ruben Tolosana, Ruben Vera-Rodriguez, Minchul Kim, Christian Rathgeb, Xiaoming Liu, Ivan DeAndres-Tame, Aythami Morales, Julian Fierrez, Javier Ortega-Garcia, Weisong Zhao, Xiangyu Zhu, Zheyu Yan, Xiao-Yu Zhang, Jinlin Wu, Zhen Lei, Suvidha Tripathi, Mahak Kothari, Md Haider Zama, Debayan Deb, Bernardo Biesseck, Pedro Vidal, Roger Granada, Guilherme Fickel, Gustavo Führ, David Menotti, Alexander Unnervik, Anjith George, Christophe Ecabert, Hatef Otroshi Shahreza, Parsa Rahimi, Sébastien Marcel, Ioannis Sarridis, Christos Koutlis, Georgia Baltsou, Symeon Papadopoulos, Christos Diou, Nicolò Di Domenico, Guido Borghi, Lorenzo Pellegrini, Enrique Mas-Candela, Ángela Sánchez-Pérez, Andrea Atzori, Fadi Boutros, Naser Damer, Gianni Fenu, Mirko Marras
Despite the widespread adoption of face recognition technology around the world, and its remarkable performance on current benchmarks, there are still several challenges that must be covered in more detail.
2 code implementations • 28 Aug 2023 • Hatef Otroshi Shahreza, Anjith George, Sébastien Marcel
While generating synthetic datasets for training face recognition models is an alternative option, it is challenging to generate synthetic data with sufficient intra-class variations.
Ranked #1 on Synthetic Face Recognition on AgeDB-30 (Accuracy metric)
1 code implementation • 8 Aug 2023 • Jan Niklas Kolf, Fadi Boutros, Jurek Elliesen, Markus Theuerkauf, Naser Damer, Mohamad Alansari, Oussama Abdul Hay, Sara Alansari, Sajid Javed, Naoufel Werghi, Klemen Grm, Vitomir Štruc, Fernando Alonso-Fernandez, Kevin Hernandez Diaz, Josef Bigun, Anjith George, Christophe Ecabert, Hatef Otroshi Shahreza, Ketan Kotwal, Sébastien Marcel, Iurii Medvedev, Bo Jin, Diogo Nunes, Ahmad Hassanpour, Pankaj Khatiwada, Aafan Ahmad Toor, Bian Yang
To drive further development of efficient face recognition models, the submitted solutions are ranked based on a weighted score of the achieved verification accuracies on a diverse set of benchmarks, as well as the deployability given by the number of floating-point operations and model size.
1 code implementation • 13 Jul 2023 • Anjith George, Sebastien Marcel
Heterogeneous Face Recognition (HFR) aims to match face images across different domains, such as thermal and visible spectra, expanding the applicability of Face Recognition (FR) systems to challenging scenarios.
4 code implementations • 4 Jul 2023 • Anjith George, Christophe Ecabert, Hatef Otroshi Shahreza, Ketan Kotwal, Sebastien Marcel
In this paper, we present EdgeFace, a lightweight and efficient face recognition network inspired by the hybrid architecture of EdgeNeXt.
Ranked #1 on Lightweight Face Recognition on CFP-FP
3 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.
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.
3 code implementations • 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
no code implementations • 9 Jul 2019 • Anjith George
In the second part of this work, we have developed two applications which can benefit from eye tracking data.
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.
8 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.
no code implementations • 27 Jul 2018 • Anjith George, Aurobinda Routray
A simple tracking scheme has also been added which improves the processing speed.
no code implementations • 18 May 2018 • Anjith George, Aurobinda Routray
This paper presents a framework for recognition of human activity from egocentric video and eye tracking data obtained from a head-mounted eye tracker.
no code implementations • 23 Aug 2017 • Žiga Emeršič, Dejan Štepec, Vitomir Štruc, Peter Peer, Anjith George, Adil Ahmad, Elshibani Omar, Terrance E. Boult, Reza Safdari, Yuxiang Zhou, Stefanos Zafeiriou, Dogucan Yaman, Fevziye I. Eyiokur, Hazim K. Ekenel
In this paper we present the results of the Unconstrained Ear Recognition Challenge (UERC), a group benchmarking effort centered around the problem of person recognition from ear images captured in uncontrolled conditions.
no code implementations • 17 May 2016 • Anjith George, Aurobinda Routray
We propose a real-time framework for the classification of eye gaze direction and estimation of eye accessing cues.
no code implementations • 17 May 2016 • Anjith George, Aurobinda Routray
A two-stage algorithm is proposed for iris centre localization.
no code implementations • 13 Jan 2016 • Anjith George, Aurobinda Routray
Features extracted from fixations and saccades are used by a Gaussian Radial Basis Function Network (GRBFN) based method for biometric authentication.
Ranked #1 on Person Identification on BioEye
no code implementations • 16 Sep 2015 • Anirban Dasgupta, Anshit Mandloi, Anjith George, Aurobinda Routray
In this paper, a modified algorithm for the detection of nasal and temporal eye corners is presented.
no code implementations • 22 May 2015 • Anjith George, Aurobinda Routray
Local Binary Pattern (LBP) histogram based method is used for the detection of eyes at night time.
no code implementations • 15 May 2015 • S. L. Happy, Anjith George, Aurobinda Routray
A customizable approach is proposed for facial expression analysis, since the various expressions and intensity of expressions vary from person to person.
no code implementations • 13 May 2015 • Anjith George, Anirban Dasgupta, Aurobinda Routray
Face detection is an essential step in many computer vision applications like surveillance, tracking, medical analysis, facial expression analysis etc.
no code implementations • 13 May 2015 • Anirban Dasgupta, Anjith George, S. L. Happy, Aurobinda Routray
In this paper, we propose a robust real time embedded platform to monitor the loss of attention of the driver during day as well as night driving conditions.