With the widespread use of face masks due to the COVID-19 pandemic, accurate masked
face recognition has become more crucial than ever. While several studies have …

The use of face masks has become a widespread non-pharmaceutical practice to mitigate
the transmission of COVID-19. However, achieving accurate facial detection while people …

Deep learning-based face recognition models are vulnerable to adversarial attacks. In
contrast to general noises, the presence of imperceptible adversarial noises can lead to …

The iris patterns of the human contain a large amount of randomly distributed and irregularly
shaped microstructures. These microstructures make the human iris informative biometric …

Occlusion is a common problem with biometric recognition in the wild. The generalization
ability of CNNs greatly decreases due to the adverse effects of various occlusions. To this …

Person image generation aims to perform non-rigid deformation on source images, which
generally requires unaligned data pairs for training. Recently, self-supervised methods …

Formation of a human iris is mainly determined by anatomical characteristics that are identity-
related and stable for personal recognition. However, existing deep Convolutional Neural …

Deep learning-based models are vulnerable to adversarial attacks. Defense against
adversarial attacks is essential for sensitive and safety-critical scenarios. However, deep …

In recent years, unconstrained iris biometrics has become more prevalent due to its wide
range of user applications. However, it also presents numerous challenges to the Iris pre …

In the daily application of an iris-recognition-at-a-distance (IAAD) system, many ocular
images of low quality are acquired. As the iris part of these images is often not qualified for …