In recent years, researchers have proposed many deep learning (DL) methods for various
tasks, and particularly face recognition (FR) made an enormous leap using these …

Considering the existence of very large amount of available data repositories and reach to
the very advanced system of hardware, systems meant for facial identification ave evolved …

Many vehicle re-identification (Re-ID) problems require the robust recognition of vehicle
instances across multiple viewpoints. Existing approaches for dealing with the vehicle re-ID …

In this paper, we address an open-set action recognition problem. While the closed-set
action recognition classifies test samples into the same classes of actions used for model …

This paper addresses unsupervised person re-identification (Re-ID) using multi-label
prediction and classification based on graph-structural insight. Our method extracts features …

Since the coronavirus disease 2019 (COVID-19) outbreak has spread across the country,
our research applies to remind the people to wear a face mask when we go outside because …

Person re-identification, one of the most challenging tasks in the field of computer vision,
aims to recognize the same person cross different cameras. The local feature information …

Person re-identification (re-ID) is an important and challenging topic in video surveillance
and public security. Re-ID aims to retrieve persons from different cameras. Despite the …

This paper addresses unsupervised person re-identification (Re-ID) using multi-label
prediction and classification based on graph-structural insight. Our method extracts features …

Deep Learning is the newest and the current trend of the machine learning field that paid a
lot of the researchers' attention in the recent few years. As a proven powerful machine …