Seminar CS717: Seminar on Causality and Neurosymbolic Learning Computer Vision (HWS 2025)

The Computer Vision seminar covers recent topics in computer vision. In HWS2025, the Computer Vision seminar focuses on “Causality and Neurosymbolic Learning in Computer Vision.”  This seminar explores recent works on how vision systems can go beyond pattern recognition by learning to reason and explain. Causality helps models understand cause-and-effect and make decisions that generalize better. Neurosymbolic Learning combines deep learning with symbolic rules, enabling vision models to work with concepts, logic, and reasoning similar to how humans think. Together, these ideas aim to make computer vision systems more robust, interpretable, and intelligent.

• This seminar is organized by Prof. Dr.-Ing. Margret Keuper
• Available for Master students and Bachelor Students (2 SWS, 4 ECTS)
• Prerequisites: solid background in Machine Learning
• Maximum number of participants is 12 students

In this seminar, you will

• Read, understand, and explore scientific literature
• Summarize a current research topic in a concise report (10 single-column pages + references)
• Give two presentations about your topic (3 minutes flash presentation, 15 minutes final presentation)
• Moderate a scientific discussion about the topic of one of your fellow students
• Review a (draft of a) report of a fellow student

We will update further details on seminar soon …..