Description Developing automated tools for sustainable film preservation of extensive historical film collections assumes an understanding of fundamental cinematographic settings. In order to be able to investigate new approaches to detect and classify cinematographic settings, this paper proposes a novel large-scale historical film dataset with cinematographic annotations (HISTORIAN), i.e., shot boundaries, shot types, camera movements. … Continue reading HISTORIAN: a large-scale HISTORIcal film dataset with cinematographic ANnotation →
My name is Rui Hu, from China. I am a visiting PhD student at the Computer Vision Lab (CVL), Institute of Visual Computing & Human-Centered Technology, TU Wien, Austria. My research focus is on Event Camera based Visual Odometry, mainly for robot localization. Unlike conventional frame cameras that output images based on a fixed frame … Continue reading Rui Hu →
I am Assistant Professor in AI for Visual Computing at the Computer Vision Lab. Before joining TU Wien, I did my PostDoc at the Viscom group headed by Prof. Timo Ropinski at Ulm University while working in close collaboration with Prof. Tobias Ritschel from University College London. I obtained my PhD at the Polytechnical University of Catalonia, under the … Continue reading Pedro Hermosilla-Casajus →
Marius Führer is a research assistent at the Computer Vision Lab. He received his BSc. in Technical Physics at TU Wien and his MSc. in Game Engineering and Simulation Technology at the University of Applied Sciences Technikum Vienna. He is currently working on the SYMETRIC project.
My name is Marco Peer and I joined the CVL as a university assistent in 2021. My main research interests are in the field of document analysis and content-based image retrieval with deep learning. My PhD is focused on writer retrieval for historical documents. I also worked in the WRITE project, in which I developed … Continue reading Marco Peer →
