Digital images and video footages comprise one of the core data types for human-machine interaction and visual understanding in general. Human perception along with the human logic are the most attractive capabilities of the human species that the research community strives to mimic. Except the relevant perception models, the community focused also on pioneer computer vision models that could extract additional information from visual representations towards facilitating various human activities. Object recognition, face detection, pedestrian detection, style transfer and weed detection are some research fields amongst a variety of applications that can be exploited to accomplish specific objectives. Our research activities display a wide diversity of computer vision objectives in order to cover a significant number of applications and extend the state-of-the-art in these research fields.