The free access to large-scale public databases, together with the fast progress of deep
learning techniques, in particular Generative Adversarial Networks, have led to the …

Systems incorporating biometric technologies have become ubiquitous in personal,
commercial, and governmental identity management applications. Both cooperative (eg …

Face recognition (FR) systems have a growing effect on critical decision-making processes.
Recent works have shown that FR solutions show strong performance differences based on …

The application of facial cosmetics may cause substantial alterations in the facial
appearance, which can degrade the performance of facial biometrics systems. Additionally …

Face recognition, as a process of the human visual system, analyses facial properties and
contextual information such as body shape. Automated recognition replicates the human …

Makeup transfer is the task of applying on a source face the makeup style from a reference
image. Real-life makeups are diverse and wild, which cover not only color-changing but also …

Responsible AI design is increasingly seen as an imperative by both AI developers and AI
compliance experts. One of the key tasks is envisioning AI technology uses and risks …

Nowadays, many facial images are acquired using smart phones. To ensure the best
outcome, users frequently retouch these images before sharing them, eg via social media …

Beautification and augmented reality filters are very popular in applications that use selfie
images. However, they can distort or modify biometric features, severely affecting the ability …

Recent advances in generative adversarial networks have made detecting fake videos a
challenging task. In this paper, we propose the application of the state-of-the-art attribution …