Daniel Gritzner studied Mathematics and Computer Science, with a focus on the latter, at the University of Mannheim. He got his diploma and his B.Sc. in CS in 2014 and 2010 respectively. In his theses he worked on realtime computer graphics, 3D graphics rendering using a polygon-voxel-hybrid approach and Simulation of Liquid Surfaces for Games. Before joining the Institut für Informationsverarbeitung in July 2018, he was part of the Software Engineering Group at the Leibniz Universität Hannover where he worked on formal, scenario-based specifications.
During his time as a student in Mannheim he worked on the MoCA project, a library for image and video processing, and Melanee, a deep-modeling (or multi-level modeling) workbench. He added new features to these projects, e.g., ghosting removal for HDR images and video retargeting with seam carving using CUDA. In 2010 he also completed an internship in software engineering at IBM.
At the Institut für Informationsverarbeitung he is working on research at the intersection of computer vision and remote sensing, in particular the analysis of aerial and satellite images. His research interests are:
