Teaching

Visual computing is a highly-interdisciplinary research field at the intersection of computer vision, graphics, and machine learning. The deep and fundamental understanding of the underlying theoretical aspects of computer science and mathematics is of paramount importance. My goal is to connect the theory and the application of concepts, making it easily approachable to students. The focus of my research in real-time applications using commodity hardware, allows me to offer the students hands-on experiments and demonstrations of state-of-the-art reconstructions and synthesis approaches. It is important to me to bridge the gap between classical approaches and novel learning-based techniques, showing possibilities to improve parts of classical approaches using novel components. In order to build a profound knowledge, visual computing allows for a variety of fascinating practical exercises, including programming and hardware-related tasks; in the spirit of ’learning by doing’.