INF | Collaboration Infrastructure
Project Collaboration Infrastructure (INF) supports the research projects across the consortium primarily in the areas of research data management (RDM) and data curation, shared resources, and virtual collaboration. RDM is essential for repeatable research, and even more for state-of-the-art research projects and consortia, where
infrastructure and coordination on a large scale are needed. Providing reliable storage and open access supports long-term outreach, open science, and trust in the scientific field. Shared resources (e.g., hard- and software) allows research groups to work with a large variety of advanced devices often not affordable for a single group, while sharing information (e.g., high-quality streaming of events) supports virtual collaboration and doctoral training across sites.
Fig. 1: Talk at the Powerwall at the University of Konstanz
Publications
- S. Geringer et al., “Eyes in the clouds: spatial data analysis with gaze-enhanced point clouds,” Journal of Visualization, vol. 29, Art. no. 3, Apr. 2026, doi: 10.1007/s12650-025-01096-z.
- D. Garkov et al., “Collaborative Problem Solving in Mixed Reality: A Study on Visual Graph Analysis,” IEEE Transactions on Visualization and Computer Graphics, pp. 1–14, 2026, doi: 10.1109/tvcg.2026.3671472.
- D. Garkov et al., “Interactive delineation and quantification of anatomical structure with virtual reality,” bioRxiv 2025.06.17.659041, 2025, doi: 10.1101/2025.06.17.659041.
- F. Schreiber et al., “Sustainable software development in science – insights from 20 years of Vanted,” Journal of Integrative Bioinformatics, p. 20250007, 2025, doi: 10.1515/jib-2025-0007.
- M. Becher, C. Müller, D. Sellenthin, T. Ertl, G. Reina, and D. Weiskopf, “Your visualisations are going places: SciVis on gaming consoles,” Journal of Visualization, vol. 28, pp. 341–357, 2025, doi: 10.1007/s12650-024-01035-4.
- D. Garkov, B. H. Thomas, G. Liotta, A. Jordan, K. Klein, and F. Schreiber, “Six Considerations for Designing and Evaluating Collaboration in Immersive Environments.” IEEE, pp. 15–19, Nov. 2025. doi: 10.1109/hfia68651.2025.00008.
- C. Flöter, S. Geringer, G. Reina, D. Weiskopf, and T. Ropinski, “Evaluating Foveated Frame Rate Reduction in Virtual Reality for Head-Mounted Displays,” in Proceedings of the 2025 Symposium on Eye Tracking Research and Applications, New York, NY, USA: ACM, 2025, pp. 1–7. doi: 10.1145/3715669.3725870.
- S. Künzel, S. Geringer, Q. Q. Ngo, P. Voglreiter, D. Weiskopf, and D. Schmalstieg, “Potentially Visible Set Generation with the Disocclusion Buffer,” in Proceedings of the SIGGRAPH Asia 2025 Conference Papers, New York, NY, USA: ACM, Dec. 2025, pp. 1–12. doi: 10.1145/3757377.3763981.
- P. Gralka, C. Müller, S. Geringer, G. Reina, and D. Weiskopf, “Quantifying Energy Reduction of Foveated Volume Visualization,” in Proceedings of the 2025 Symposium on Eye Tracking Research and Applications, New York, NY, USA: ACM, 2025, pp. 1–7. doi: 10.1145/3715669.3725881.
- C. Müller and T. Ertl, “Quantifying Performance Gains of DirectStorage for the Visualisation of Time-Dependent Particle Data Sets,” Journal of Visualization, 2024, doi: 10.1007/s12650-024-01036-3.
- P. Gralka, C. Müller, M. Heinemann, G. Reina, D. Weiskopf, and T. Ertl, “Power Overwhelming: The One With the Oscilloscopes,” Journal of Visualization, Aug. 2024, doi: 10.1007/s12650-024-01001-0.
- S. Geringer et al., “mint: Integrating scientific visualizations into virtual reality,” Journal of Visualization, vol. 27, Art. no. 6, Aug. 2024, doi: 10.1007/s12650-024-01011-y.
- C. Müller, M. Heinemann, D. Weiskopf, and T. Ertl, “Power Overwhelming: Quantifying the Energy Cost of Visualisation,” in Proceedings of the 2022 IEEE Workshop on Evaluation and Beyond - Methodological Approaches for Visualization (BELIV), Oct. 2022, pp. 38–46. doi: 10.1109/BELIV57783.2022.00009.
- F. Schreiber and D. Weiskopf, “Quantitative Visual Computing,” it - Information Technology, vol. 64, pp. 119–120, 2022, doi: 10.1515/itit-2022-0048.
- 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.
- M. Aichem et al., “Towards a hybrid user interface for the visual exploration of large biomolecular networks using virtual reality,” Journal of Integrative Bioinformatics, vol. 19, Art. no. 4, Nov. 2022, doi: 10.1515/jib-2022-0034.
- A. Niarakis et al., “Addressing <i>barriers in comprehensiveness, accessibility, reusability, interoperability and reproducibility of computational models in systems biology</i>,” Briefings in Bioinformatics, vol. 23, Art. no. 4, 2022, doi: 10.1093/bib/bbac212.
- D. Bienroth et al., “Spatially resolved transcriptomics in immersive environments,” Visual Computing for Industry, Biomedicine, and Art, vol. 5, Art. no. 1, 2022, doi: 10.1186/s42492-021-00098-6.
- 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.
- K. Klein, D. Garkov, S. Rütschlin, T. Böttcher, and F. Schreiber, “QSDB—a graphical Quorum Sensing Database,” Database, vol. 2021, Art. no. 2021, Nov. 2021, doi: 10.1093/database/baab058.
- 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, vol. 27, Art. no. 2, 2020, doi: 10.1109/TVCG.2020.3030445.
- D. Garkov, K. Klein, C. Klukas, and F. Schreiber, “Mental-Map Preserving Visualisation of Partitioned Networks in Vanted,” Journal of Integrative Bioinformatics, vol. 16, Art. no. 3, Jun. 2019, doi: 10.1515/jib-2019-0026.
The RTSP streaming solution for the tele-conferencing solution has been implemented and is now regularly used for the lecture series and other invited talks.
Project Group A
Models and Measures
Completed
Project Group B
Adaptive Algorithms
Completed
Project Group C
Interaction
Completed
Project Group D
Applications
Completed
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© SFB-TRR 161 | Quantitative Methods for Visual Computing | 2019.