33 citations · 195 across the 88 of their papers we have counts for
24 papers · 2 filters
Mask-invariant Face Recognition through Template-level Knowledge Distillation
Marco Huber, Fadi Boutros, Florian Kirchbuchner +1
The emergence of the global COVID-19 pandemic poses new challenges for biometrics. Not only are contactless biometric identification options becoming more important, but face recog…
Explainability of the Implications of Supervised and Unsupervised Face Image Quality Estimations Through Activation Map Variation Analyses in Face Recognition Models
Biying Fu, Naser Damer
It is challenging to derive explainability for unsupervised or statistical-based face image quality assessment (FIQA) methods. In this work, we propose a novel set of explainabilit…
CR-FIQA: Face Image Quality Assessment by Learning Sample Relative Classifiability
Fadi Boutros, Meiling Fang, Marcel Klemt +2
The quality of face images significantly influences the performance of underlying face recognition algorithms. Face image quality assessment (FIQA) estimates the utility of the cap…
Pixel-Level Face Image Quality Assessment for Explainable Face Recognition
Philipp Terhörst, Marco Huber, Naser Damer +3
An essential factor to achieve high performance in face recognition systems is the quality of its samples. Since these systems are involved in daily life there is a strong need of…
Partial Attack Supervision and Regional Weighted Inference for Masked Face Presentation Attack Detection
Meiling Fang, Fadi Boutros, Arjan Kuijper +1
Wearing a mask has proven to be one of the most effective ways to prevent the transmission of SARS-CoV-2 coronavirus. However, wearing a mask poses challenges for different face re…
The Effect of Wearing a Face Mask on Face Image Quality
Biying Fu, Florian Kirchbuchner, Naser Damer
Due to the COVID-19 situation, face masks have become a main part of our daily life. Wearing mouth-and-nose protection has been made a mandate in many public places, to prevent the…