7 citations · 26 across the 9 of their papers we have counts for
9 papers
Stating Comparison Score Uncertainty and Verification Decision Confidence Towards Transparent Face Recognition
Marco Huber, Philipp Terhörst, Florian Kirchbuchner +2
Face Recognition (FR) is increasingly used in critical verification decisions and thus, there is a need for assessing the trustworthiness of such decisions. The confidence of a dec…
On the (Limited) Generalization of MasterFace Attacks and Its Relation to the Capacity of Face Representations
Philipp Terhörst, Florian Bierbaum, Marco Huber +4
A MasterFace is a face image that can successfully match against a large portion of the population. Since their generation does not require access to the information of the enrolle…
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…
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…
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…
Learnable Multi-level Frequency Decomposition and Hierarchical Attention Mechanism for Generalized Face Presentation Attack Detection
Meiling Fang, Naser Damer, Florian Kirchbuchner +1
With the increased deployment of face recognition systems in our daily lives, face presentation attack detection (PAD) is attracting much attention and playing a key role in securi…
QMagFace: Simple and Accurate Quality-Aware Face Recognition
Philipp Terhörst, Malte Ihlefeld, Marco Huber +4
Face recognition systems have to deal with large variabilities (such as different poses, illuminations, and expressions) that might lead to incorrect matching decisions. These vari…
ElasticFace: Elastic Margin Loss for Deep Face Recognition
Fadi Boutros, Naser Damer, Florian Kirchbuchner +1
Learning discriminative face features plays a major role in building high-performing face recognition models. The recent state-of-the-art face recognition solutions proposed to inc…
Real Masks and Spoof Faces: On the Masked Face Presentation Attack Detection
Meiling Fang, Naser Damer, Florian Kirchbuchner +1
Face masks have become one of the main methods for reducing the transmission of COVID-19. This makes face recognition (FR) a challenging task because masks hide several discriminat…