Dieses Bild zeigt Matthias Braun

Matthias Braun

Herr Dipl.-Inf.

Technischer Mitarbeiter
Visualisierungsinstitut der Universität Stuttgart (VISUS)
Arbeitsgruppe Ertl

Kontakt

Allmandring 19
70569 Stuttgart
Deutschland
Raum: 00.106

  1. 2022

    1. D. Garkov, C. Müller, M. Braun, D. Weiskopf, und F. Schreiber, „Research Data Curation in Visualization : Position Paper“. IEEE, S. 56–65, 2022. doi: 10.1109/beliv57783.2022.00011.
  2. 2021

    1. K. Schatz u. a., „2019 IEEE Scientific Visualization Contest Winner: Visual Analysis of Structure Formation in Cosmic Evolution“, IEEE Computer Graphics and Applications, Bd. 41, Nr. 6, Art. Nr. 6, 2021, doi: 10.1109/MCG.2020.3004613.
  3. 2020

    1. F. Frieß, M. Braun, V. Bruder, S. Frey, G. Reina, und T. Ertl, „Foveated Encoding for Large High-Resolution Displays“, IEEE Transactions on Visualization and Computer Graphics, Bd. 27, Nr. 2, Art. Nr. 2, 2020, doi: 10.1109/TVCG.2020.3030445.
  4. 2019

    1. C. Müller, M. Braun, und T. Ertl, „Optimised Molecular Graphics on the HoloLens“, in IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019, Osaka, Japan, March 23-27, 2019, in IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019, Osaka, Japan, March 23-27, 2019. IEEE, 2019, S. 97–102. doi: 10.1109/VR.2019.8798111.
    2. P. Gralka u. a., „MegaMol – a comprehensive prototyping framework for visualizations“, The European Physical Journal (Special Topics), Nr. 14, Art. Nr. 14, 2019, doi: 10.1140/epjst/e2019-800167-5.
    3. K. Schatz u. a., „Visual Analysis of Structure Formation in Cosmic Evolution“, in Proceedings of the IEEE Scientific Visualization Conference (SciVis), in Proceedings of the IEEE Scientific Visualization Conference (SciVis). 2019, S. 33–41. doi: 10.1109/scivis47405.2019.8968855.
  5. 2018

    1. C. Schulz, K. Schatz, M. Krone, M. Braun, T. Ertl, und D. Weiskopf, „Uncertainty Visualization for Secondary Structures of Proteins“, in Proceedings of the IEEE Pacific Visualization Symposium (PacificVis), in Proceedings of the IEEE Pacific Visualization Symposium (PacificVis). IEEE, 2018, S. 96–105. [Online]. Verfügbar unter: https://ieeexplore.ieee.org/document/8365980
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