Modern computer vision is largely based on neural network and machine learning models originally developed within the machine learning community. In this seminar, students study state-of-the-art computer vision models in their historical and methodological context, focusing on selected visual tasks aligned with their academic interests. The seminar emphasizes critical engagement with current research literature, student-led presentations and discussion, and the collaborative preparation of a scientific seminar paper.

Detailed information is found here.

Computer vision considers models of neural networks originally invented by the machine learning community. This seminar allows the student to study neural networks in more detail. By the end of the seminar, all participants will understand the principles and the applications of selected models, and they will receive the ability to reuse these models as common design patterns in their future work.

Detailed information is found here.

Computer vision considers models of neural networks originally invented by the machine learning community. This seminar allows the student to study neural networks in more detail. By the end of the seminar, all participants will understand the principles and the applications of selected models, and they will receive the ability to reuse these models as common design patterns in their future work.

Seminar report

Detailed information is found here.