Face recognition is one of the most active research fields of computer vision and pattern
recognition, with many practical and commercial applications including identification, access …

Robust and efficient vehicle detection is an important task of environment perception of
intelligent vehicles, which directly affects the behavior decision-making and motion planning …

In remote sensing applications and medical imaging, one of the key points is the acquisition,
real-time preprocessing and storage of information. Due to the large amount of information …

Cooperative machine learning has many applications, such as data annotation, where an
initial model trained with partially labeled data is used to predict labels for unseen data …

Single-Sample Face Recognition (SSFR) is a computer vision challenge. In this scenario,
there is only one example from each individual on which to train the system, making it …

Drowsiness is a major risk factor for road safety, contributing to serious injury, death, and
economic loss on the road. Driving performance decreases because of increased …

With the rapid development of multimedia technology, editing and manipulating digital
images have become more accessible than ever. This paper proposed color image …

With the recent surge in autonomous driving vehicles, the need for accurate vehicle
detection and tracking is critical now more than ever. Detecting vehicles from visual sensors …

Autonomous driving cars are becoming popular everywhere and the need for a robust traffic
sign recognition system that ensures safety by recognizing traffic signs accurately and fast is …

Driver distraction and fatigue have become one of the leading causes of severe traffic
accidents. Hence, driver inattention monitoring systems are crucial. Even with the growing …