Deep neural networks have become prevalent in human analysis, boosting the performance
of applications, such as biometric recognition, action recognition, as well as person re …

Synthetic biometric samples are created with an ultimate goal of getting around privacy
concerns, mitigating biases in biometric datasets, and reducing the sample acquisition effort …

Evaluating the quality of facial images is essential for operating face recognition systems
with sufficient accuracy. The recent advances in face quality standardisation (ISO/IEC CD3 …

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 …

AI systems rely on extensive training on large datasets to address various tasks. However,
image-based systems, particularly those used for demographic attribute prediction, face …

Face morphing attack detection (MAD) algorithms have become essential to overcome the
vulnerability of face recognition systems. To solve the lack of large-scale and public …

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 …