Convolutional Neural Networks (CNNs) are being increasingly used to address the problem
of iris presentation attack detection. In this work, we propose attention-guided iris …

In the field of computer vision, pedestrian attribute recognition plays a crucial role in
pedestrian detection and pedestrian re-identification. However, this task faces challenges …

Abstract Near-infrared-visible (NIR-VIS) heterogeneous face recognition matches NIR to
corresponding VIS face images. However, due to the sensing gap, NIR images often lose …

This paper focuses on thermal-to-visible face matching through image synthesis. Most of the
legacy face image datasets are composed of visible band data. Thermal band as well as …

As one of the important fields of computer vision research, pedestrian attribute recognition
has gained increasing attention from domestic and foreign researchers due to its huge …

Pedestrian Attribute Recognition has attracted increasing attention due to its wide range of
potential applications. However, the pedestrian images are taken from a far distances …

Cross-domain face matching is known as heterogeneous face recognition (HFR), which is
more valuable than traditional face recognition and plays a key role in public safety. It …

The over-arching theme of this dissertation is the development of automated detection
and/or classification systems for challenging infrared scenarios. The six works presented …

Face recognition technology has witnessed significant advancements in recent decades,
enabling its widespread adoption in various applications such as security, surveillance, and …

Face recognition technology has witnessed significant advancements in recent decades,
enabling its widespread adoption in various applications such as security, surveillance, and …