The emergence of COVID-19 has had a global and profound impact, not only on society as a
whole, but also on the lives of individuals. Various prevention measures were introduced …

Identifying the gender of a person and his age by way of speaking is considered a crucial
task in computer vision. It is a very important and active research topic with many areas of …

Bias and fairness of biometric algorithms have been key topics of research in recent years,
mainly due to the societal, legal and ethical implications of potentially unfair decisions made …

Estimating a speaker's age from their speech is more challenging than age estimation from
their face because of insufficiently available public corpora. To tackle this problem, we …

Ear detection represents one of the key components of contemporary ear recognition
systems. While significant progress has been made in the area of ear detection over recent …

In this work, we present a Deep Learning approach to estimate age from facial images. First,
we introduce a novel attention-based approach to image augmentation-aggregation, which …

In recent times, deep learning driven face image analysis has gained significant interest
among several application areas like surveillance, security, biometrics, etc. The facial …

An approach to age modeling involves the supervised prediction of age using machine
learning from subject features. The derived age metrics are used to study the relationship …

Bias in facial recognition systems often results in unequal performance across demographic
groups. This study addresses this by investigating how dataset composition affects the …

A number of studies suggest bias of the face biometrics, ie, face recognition and soft-
biometric estimation methods, across gender, race, and age-groups. There is a recent urge …