On July 6th, 2021 the Main Committee of the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) decided to install 13 new research groups based on recommendations by the DFG Senate. The new research groups will receive a total of around 47,4 million euros including a 22 per cent programme allowance for indirect costs from the projects.
One of those 13 research groups comes from the Department of Informatics: "Learning and Simulation in Visual Computing" (Spokesperson: Prof. Matthias Nießner, Visual Computing and Artificial Intelligence Lab). Aside from Prof. Nießner's project it includes subprojects from Prof. Daniel Cremers (Computer Vision Group), Prof. Laura Leal-Taixé (Dynamic Vision and Learning Group), Prof. Rüdiger Westermann (Chair of Computer Graphics and Visualization) and Prof. Nils Thuerey (Physics-based Simulation Group). The use of machine learning methods has practically revolutionized the field of Visual Computing. Despite all the progress being made in this area the use of artificial neural networks in practical applications still remains a challenge, because learning with real data is time-consuming and complex. This is where the research group "Learning and Simulation in Visual Computing" comes together and will develop new simulation and learning techniques. The most important objective is to better understand the connection between simulated and real training data and to identify the key features influencing the effectiveness of the learning process.