Age transformation aims to preserve personalized facial information while altering a given
face to appear at a target age. This technique finds extensive applications in fields such as …

We address the need for a large-scale database of children's faces by using generative
adversarial networks (GANs) and face-age progression (FAP) models to synthesize a …

Our sense of ourselves is inextricably linked to our looks. It's required for everyday
interactions, communication, and other routine duties. Face recognition algorithms that are …

The challenge of transforming the apparent age of human faces in videos has not been
adequately addressed due to the complexities involved in preserving spatial and temporal …

Systems that analyse faces have seen significant improvements in recent years and are
today used in numerous application scenarios. However, these systems have been found to …

The vast progress in synthetic image synthesis enables the generation of facial images in
high resolution and photorealism. In biometric applications, the main motivation for using …

The ability of humans to infer head poses from face shapes, and vice versa, indicates a
strong correlation between them. Recent studies on face alignment used head pose …

Today, face recognition systems (FRS) are widely used in applications such as forensic and
border control systems. Despite the increasing ability of deep neural networks to identify …

The impact of long-term facial ageing on face recognition remains understudied due to a
lack of openly available data. The age-related impermanence in facial identity affects many …

An innovative approach is proposed that leverages a perturbation explainable system within
the Conditional Adversarial Autoencoder (CAAE) framework. The incorporation of the …