Fabian Jogl is a master’s student of Logic and Computation at TU Wien and is currently working on his thesis about graph neural networks. He received a B.Sc. in Physics in 2019 from the University of Vienna. His research interests include graph algorithms and applications of machine learning on videos, images, and graphs.
Daniel Helm, Fabian Jogl, Martin Kampel, Historian: A Large-Scale Historical Film Dataset with Cinematographic Annotation, in: 2022 IEEE International Conference on Image Processing (ICIP), (October 2022), 2087-2091.