54 citations · 195 across the 76 of their papers we have counts for
11 papers · 1 filter
Generation of Non-Deterministic Synthetic Face Datasets Guided by Identity Priors
Marcel Grimmer, Haoyu Zhang, Raghavendra Ramachandra +2
Enabling highly secure applications (such as border crossing) with face recognition requires extensive biometric performance tests through large scale data. However, using real fac…
Algorithmic Fairness in Face Morphing Attack Detection
Raghavendra Ramachandra, Kiran Raja, Christoph Busch
Face morphing attacks can compromise Face Recognition System (FRS) by exploiting their vulnerability. Face Morphing Attack Detection (MAD) techniques have been developed in recent…
FRT-PAD: Effective Presentation Attack Detection Driven by Face Related Task
Wentian Zhang, Haozhe Liu, Feng Liu +2
The robustness and generalization ability of Presentation Attack Detection (PAD) methods is critical to ensure the security of Face Recognition Systems (FRSs). However, in a real s…
DFCANet: Dense Feature Calibration-Attention Guided Network for Cross Domain Iris Presentation Attack Detection
Gaurav Jaswal, Aman Verma, Sumantra Dutta Roy +1
An iris presentation attack detection (IPAD) is essential for securing personal identity is widely used iris recognition systems. However, the existing IPAD algorithms do not gener…
ReGenMorph: Visibly Realistic GAN Generated Face Morphing Attacks by Attack Re-generation
Naser Damer, Kiran Raja, Marius Süßmilch +6
Face morphing attacks aim at creating face images that are verifiable to be the face of multiple identities, which can lead to building faulty identity links in operations like bor…
Multilingual Audio-Visual Smartphone Dataset And Evaluation
Hareesh Mandalapu, Aravinda Reddy P N, Raghavendra Ramachandra +4
Smartphones have been employed with biometric-based verification systems to provide security in highly sensitive applications. Audio-visual biometrics are getting popular due to th…
Taming Self-Supervised Learning for Presentation Attack Detection: De-Folding and De-Mixing
Zhe Kong, Wentian Zhang, Feng Liu +4
Biometric systems are vulnerable to Presentation Attacks (PA) performed using various Presentation Attack Instruments (PAIs). Even though there are numerous Presentation Attack Det…
MFR 2021: Masked Face Recognition Competition
Fadi Boutros, Naser Damer, Jan Niklas Kolf +32
This paper presents a summary of the Masked Face Recognition Competitions (MFR) held within the 2021 International Joint Conference on Biometrics (IJCB 2021). The competition attra…
Learned Smartphone ISP on Mobile NPUs with Deep Learning, Mobile AI 2021 Challenge: Report
Andrey Ignatov, Cheng-Ming Chiang, Hsien-Kai Kuo +38
As the quality of mobile cameras starts to play a crucial role in modern smartphones, more and more attention is now being paid to ISP algorithms used to improve various perceptual…
On the Applicability of Synthetic Data for Face Recognition
Haoyu Zhang, Marcel Grimmer, Raghavendra Ramachandra +2
Face verification has come into increasing focus in various applications including the European Entry/Exit System, which integrates face recognition mechanisms. At the same time, t…
Audio-Visual Biometric Recognition and Presentation Attack Detection: A Comprehensive Survey
Hareesh Mandalapu, P N Aravinda Reddy, Raghavendra Ramachandra +4
Biometric recognition is a trending technology that uses unique characteristics data to identify or verify/authenticate security applications. Amidst the classically used biometric…