The performance of face analysis and recognition systems depends on the quality of the
acquired face data, which is influenced by numerous factors. Automatically assessing the …

Since early 2020, the COVID-19 pandemic has had a considerable impact on many aspects
of daily life. A range of different measures have been implemented worldwide to reduce the …

Using the face as a biometric identity trait is motivated by the contactless nature of the
capture process and the high accuracy of the recognition algorithms. After the current COVID …

Abstract Coronavirus disease (COVID-19) has significantly affected the daily life activities of
people globally. To prevent the spread of COVID-19, the World Health Organization has …

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 …

In this paper, we present a set of extremely efficient and high throughput models for accurate
face verification, Mix-FaceNets which are inspired by Mixed Depthwise Convolutional …

Face benchmarks empower the research community to train and evaluate high-performance
face recognition systems. In this paper, we contribute a new million-scale recognition …

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 …

SARS-CoV-2 has presented direct and indirect challenges to the scientific community. One
of the most prominent indirect challenges advents from the mandatory use of face masks in a …

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 …