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.
HISTORIAN: A Large-Scale Historical Film Dataset with Cinematographic Annotation
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.