Gender classification of human faces is a trending topic and a remarkable biometric task.
This research area has useful applications in several fields, such as automated border …

There are few studies utilizing only IR cameras for long-distance gender recognition, and
they have shown low recognition performance due to their lack of color and texture …

State-of-the-art Active Speaker Detection (ASD) approaches heavily rely on audio and facial
features to perform, which is not a sustainable approach in wild scenarios. Although these …

The popular clustering-based Unsupervised Domain Adaptive (UDA) person re-
identification (re-ID) does not require additional annotation. However, owing to …

State-of-the-art Active Speaker Detection (ASD) approaches mainly use audio and facial
features as input. However, the main hypothesis in this paper is that body dynamics is also …

The objective of the gender categorization job is to determine a person's gender based on
the face photographs of that individual. Approaches that are based on deep learning have …

Deep learning models are widely used nowadays for their reliability in performing various
tasks. However, they do not typically provide the reasoning behind their decision, which is a …

Nowadays, gender recognition systems are very important in several fields such as security,
human machine interaction, surveillance and targeted advertising. However, many factors …

Gender classification has recently received a lot of interest because genders include a lot of
information about male and female social activities. It is difficult to extract discriminating …

As surveillance cameras become commonly used, the demand for automatic violence
detection technology increases. A significant number of works have been developed in the …