Dieses Bild zeigt Matthias Braun

Matthias Braun

Herr Dipl.-Inf.

Research Engineering
Visualisierungsinstitut der Universität Stuttgart (VISUS)
Arbeitsgruppe Schmalstieg

Kontakt

+49 711 685 88607

Allmandring 19
70569 Stuttgart
Deutschland
Raum: 00.106

Publikationen:

  1. 2022

    1. D. Garkov, C. Müller, M. Braun, D. Weiskopf, and F. Schreiber, “Research Data Curation in Visualization : Position Paper.” IEEE, pp. 56–65, 2022. doi: 10.1109/beliv57783.2022.00011.

  2. 2021

    1. K. Schatz et al., “2019 IEEE Scientific Visualization Contest Winner: Visual Analysis of Structure Formation in Cosmic Evolution,” IEEE Computer Graphics and Applications, vol. 41, Art. no. 6, 2021, doi: 10.1109/MCG.2020.3004613.

  3. 2020

    1. F. Frieß, M. Braun, V. Bruder, S. Frey, G. Reina, and T. Ertl, “Foveated Encoding for Large High-Resolution Displays,” IEEE Transactions on Visualization and Computer Graphics, pp. 1–10, 2020, doi: 10.1109/TVCG.2020.3030445.
    2. K. Schatz et al., “2019 IEEE Scientific Visualization Contest Winner: Visual Analysis of Structure Formation in Cosmic Evolution,” IEEE Computer Graphics and Applications (CG&A), 2020, doi: 10.1109/MCG.2020.3004613.

  4. 2019

    1. P. Gralka et al., “MegaMol -- a comprehensive prototyping framework for visualizations,” The European Physical Journal Special Topics, vol. 227, Art. no. 14, 2019, doi: 10.1140/epjst/e2019-800167-5.
    2. C. Müller, M. Braun, and 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, IEEE, 2019, pp. 97–102. doi: 10.1109/VR.2019.8798111.
    3. K. Schatz et al., “Visual Analysis of Structure Formation in Cosmic Evolution,” in Proceedings of the IEEE Scientific Visualization Conference (SciVis), 2019, pp. 33–41. doi: 10.1109/scivis47405.2019.8968855.

  5. 2018

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

https://orcid.org/0000-0001-8591-3690

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