Face recognition is a rapidly developing and widely applied aspect of biometric
technologies. Its applications are broad, ranging from law enforcement to consumer …

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 …

Starting in the seventies, face recognition has become one of the most researched topics in
computer vision and biometrics. Traditional methods based on hand-crafted features and …

Recent years witnessed the breakthrough of face recognition with deep convolutional neural
networks. Dozens of papers in the field of FR are published every year. Some of them were …

Do very high accuracies of deep networks suggest pride of effective AI or are deep networks
prejudiced? Do they suffer from in-group biases (own-race-bias and own-age-bias), and …

Face is one of the most widely used biometrics for human identity authentication. Facial
recognition has remained an interesting and active research area in the past several …

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

Recent developments in deep convolutional neural networks (DCNNs) have shown
impressive performance improvements on various object detection/recognition problems …

Deep learning technology has enabled successful modeling of complex facial features when
high-quality images are available. Nonetheless, accurate modeling and recognition of …

Face recognition constitutes a relatively a popular area which has emerged from the rulers
of the social media to top universities in the world. Those frontiers and rule makers recently …