Face recognition (FR) is one of the most popular and long-standing topics in computer
vision. With the recent development of deep learning techniques and large-scale datasets …

Gait recognition aims to identify a person at a distance, serving as a promising solution for
long-distance and less-cooperation pedestrian recognition. Recently, significant advances …

The ubiquity of camera-enabled devices has led to large amounts of unlabeled image data
being produced at the edge. The integration of self-supervised learning (SSL) and federated …

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 …

In this survey, we provide a comprehensive review of more than 200 articles, technical
reports, and GitHub repositories published over the last 10 years on the recent …

Since early 2020, the COVID-19 pandemic has had a considerable impact on many aspects
of daily life. A range of different measures have been implemented worldwide to reduce the …

Privacy-enhancing technologies are technologies that implement fundamental data
protection principles. With respect to biometric recognition, different types of privacy …

Deep learning-based palmprint recognition methods have made good progress and
obtained promising performance. However, most of them are mainly focused on …

3D face reconstruction algorithms from images and videos are applied to many fields, from
plastic surgery to the entertainment sector, thanks to their advantageous features. However …

Machine learning algorithms have had a profound impact on the field of computer science
over the past few decades. The performance of these algorithms heavily depends on the …