Abstract RGB-Thermal infrared (RGB-T) image analysis has been actively studied in recent
years. In the past decade, it has received wide attention and made a lot of important …

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

This study presents a comprehensive review of the automated classification in partial
discharge (PD) source identification and probabilistic interpretation of the classification …

This work addresses the problem of human body segmentation from multi-modal visual cues
as a first stage of automatic human behavior analysis. We propose a novel RGB–depth …

Thermal-to-visible face verification is a challenging problem due to the large domain
discrepancy between the modalities. Existing approaches either attempt to synthesize …

In a world where security issues have been gaining growing importance, face recognition
systems have attracted increasing attention in multiple application areas, ranging from …

Face representation learning solutions have recently achieved great success for various
applications such as verification and identification. However, face recognition approaches …

Reliable facial recognition systems are of crucial importance in various applications from
entertainment to security. Thanks to the deep‐learning concepts introduced in the field, a …

As the interest in facial detection grows, especially during a pandemic, solutions are sought
that will be effective and bring more benefits. This is the case with the use of thermal …

Recent advances in deep convolutional neural networks (DCNNs) have shown impressive
performance improvements on thermal to visible face synthesis and matching problems …