Human Action Recognition (HAR) aims to understand human behavior and assign a label to
each action. It has a wide range of applications, and therefore has been attracting increasing …

Video action recognition is widely applied in video indexing, intelligent surveillance,
multimedia understanding, and other fields. Recently, it was greatly improved by …

Global terrorist threats and illegal migration have intensified concerns for the security of
citizens, and every effort is made to exploit all available technological advances to prevent …

Many state-of-the-art methods have been proposed for infrared small target detection. They
work well on the images with homogeneous backgrounds and high-contrast targets …

Multispectral pedestrian detection has shown great advantages under poor illumination
conditions, since the thermal modality provides complementary information for the color …

The usage of both off-the-shelf and end-to-end trained deep networks have significantly
improved the performance of visual tracking on RGB videos. However, the lack of large …

Infrared (IR) technology has emerged as a solution for monitoring dark environments. It
offers resilience to shifting illumination, appearance changes, and shadows, with …

Abstract Human Action Recognition (HAR) has remained one of the most challenging tasks
in computer vision. With the surge in data-driven methodologies, the depth modality has …

In recent years, foundation models have swept the computer vision field, facilitating the
advancement of various tasks within different modalities. However, effectively designing an …

Infrared (IR) human action recognition (AR) exhibits resilience against shifting illumination
conditions, changes in appearance, and shadows. It has valuable applications in numerous …