Deep Residual Networks have recently been shown to significantly improve the
performance of neural networks trained on ImageNet, with results beating all previous …

Human face recognition have been an active research area for the last few decades.
Especially, during the last five years, it has gained significant research attention from …

Deep learning, in particular the deep convolutional neural networks, has received
increasing interests in face recognition recently, and a number of deep learning methods …

Cross-modality face recognition is an emerging topic due to the wide-spread usage of
different sensors in day-to-day life applications. The development of face recognition …

In recent years, researchers have proposed many deep learning (DL) methods for various
tasks, and particularly face recognition (FR) made an enormous leap using these …

Federated learning (FL) is an emerging framework that enables massive clients (eg, mobile
devices or enterprises) to collaboratively construct a global model without sharing their local …

Cerebral micro‐bleedings are small chronic brain hemorrhages caused by structural
abnormalities of the small vessels. CMBs can be found from individuals with stroke at …

Various palmprint recognition methods have been proposed and applied in security,
particularly authentication. However, improving the performance of palmprint recognition …

This paper studies the impact of lightweight face models on real applications. Lightweight
architectures proposed for face recognition are analyzed and evaluated on different …

Cracks are a potential threat to the safety and endurance of civil infrastructures, and
therefore, careful and regular structural crack inspection is needed during their long-term …