Deep learning (DL) is being successfully applied across multiple domains, yet these models
learn in a most artificial way: they require large quantities of labeled data to grasp even …

In the study of image and vision computing, the generalization capability of an algorithm
often determines whether it is able to work well in complex scenes. The goal of this review …

You are holding in your hands… oh, come on, who holds books like this in their hands
anymore? Anyway, you are reading this, and it means that I have managed to release one of …

Recently, various conferences and journals have published articles related to Video
Surveillance Systems, indicating researchers 'attention. The goal of this review is to examine …

Cerebral palsy is a childhood condition in which there is a motor disability (palsy) caused by
a static, non-progressive lesion in the brain (cerebral), produced by decreased brain …

Data scarcity is a fundamental obstacle to the adoption of deep learning models for a variety
of detection tasks in medical images due to inherent difficulties in acquiring and labeling …

Automatic behavior understanding refers to the generation of situation descriptions from
machine perception. World models created through machine perception can be used by a …

Today's technological advancements, many innovative applications continue to emerge, and
in supporting education and learning has brought many changes. With these changes, the …

To interact in a virtual environment, an agent must be aware of its available actions and the
objects that can participate in these actions. Work such as Kallmann's SmartObjects allows …

We present a tool for video augmentation in real-time, which we name the augmentation
virtual screen (AVScreen). AVScreen is useful for develo** advertisements, commercials …