This image showsGuido Reina

Guido Reina

Dr.

Academic Director
Visualization Research Center (VISUS)
Ertl Group

Contact

+49 711 685 88627

Allmandring 19
70569 Stuttgart
Deutschland
Room: 00.111

Publications:

  1. 2025

    1. 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.

  2. 2023

    1. M. Franke, G. Reina, and S. Koch, “Toward Reproducible Visual Analysis Results,” in Proceedings of the 16th IEEE Pacific Visualization Symposium, Seoul, Republic of Korea: IEEE, Apr. 2023, pp. 102–106.
    2. A. Gupta et al., “Efficient Raycasting of Volumetric Depth Images for Remote Visualization of Large Volumes at High Frame Rates,” in 2023 IEEE 16th Pacific Visualization Symposium (PacificVis), Apr. 2023, pp. 61–70.
    3. A. Gupta et al., “Parallel Compositing of Volumetric Depth Images for Interactive Visualization of Distributed Volumes at High Frame Rates,” in Eurographics Symposium on Parallel Graphics and Visualization, R. Bujack, D. Pugmire, and G. Reina, Eds., The Eurographics Association, 2023, pp. 25–35.
    4. G. Reina, “Can Image Data Facilitate Reproducibility of Graphics and Visualizations? Toward a Trusted Scientific Practice,” IEEE Computer Graphics and Applications, vol. 43, Art. no. 2, Mar. 2023.
    5. P. Gralka, G. Reina, and T. Ertl, “Efficient Sphere Rendering Revisited,” in Eurographics Symposium on Parallel Graphics and Visualization, R. Bujack, D. Pugmire, and G. Reina, Eds., The Eurographics Association, 2023, pp. 27–37. doi: 10.2312/pgv.20231083.
    6. R. Bauer et al., “Visual Ensemble Analysis of Fluid Flow in Porous Media across Simulation Codes and Experiment,” Transport in Porous Media, 2023, doi: 10.1007/s11242-023-02019-y#citeas.
    7. A. Straub, N. Karadimitriou, G. Reina, S. Frey, H. Steeb, and T. Ertl, “Visual Analysis of Displacement Processes in Porous Media using Spatio-Temporal Flow Graphs,” IEEE Transactions on Visualization and Computer Graphics, vol. 30, Art. no. 1, 2023, doi: 10.1109/TVCG.2023.3326931.
    8. M. Becher, M. Heinemann, T. Marmann, G. Reina, D. Weiskopf, and T. Ertl, “Accelerated 2D visualization using adaptive resolution scaling and temporal reconstruction,” Journal of Visualization, vol. 26, Art. no. 5, Jul. 2023, doi: 10.1007/s12650-023-00925-3.

  3. 2022

    1. M. Becher et al., “Situated Visual Analysis and Live Monitoring for Manufacturing,” IEEE Computer Graphics and Applications, p. 1, 2022.
    2. M. Abdelaal et al., “Visualization for Architecture, Engineering, and Construction: Shaping the Future of Our Built World,” IEEE Computer Graphics and Applications, vol. 42, Art. no. 2, Mar. 2022, doi: 10.1109/MCG.2022.3149837.

  4. 2021

    1. S. Frey et al., “Visual Analysis of Two-Phase Flow Displacement Processes in Porous Media,” Computer Graphics Forum, 2021, doi: 10.1111/cgf.14432.
    2. F. Frieß, M. Becher, G. Reina, and T. Ertl, “Amortised Encoding for Large High-Resolution Displays,” in 2021 IEEE 11th Symposium on Large Data Analysis and Visualization (LDAV), 2021, pp. 53–62. [Online]. Available: https://ieeexplore.ieee.org/document/9623235
    3. M. Ibrahim, P. Rautek, G. Reina, M. Agus, and M. Hadwiger, “Probabilistic Occlusion Culling using Confidence Maps for High-Quality Rendering of Large Particle Data,” IEEE Transactions on Visualization and Computer Graphics, p. 1, 2021, [Online]. Available: https://doi.org/10.1109%2Ftvcg.2021.3114788
    4. H. Anzt et al., “An environment for sustainable research software in Germany and beyond: current state, open challenges, and call for action,” F1000Research, vol. 9, p. 295, Jan. 2021, [Online]. Available: https://doi.org/10.12688%2Ff1000research.23224.2
    5. C. Schulz et al., “Multi-Class Inverted Stippling,” ACM Trans. Graph., vol. 40, Art. no. 6, Dec. 2021, doi: 10.1145/3478513.3480534.

  5. 2020

    1. P. Gralka, I. Wald, S. Geringer, G. Reina, and T. Ertl, “Spatial Partitioning Strategies for Memory-Efficient Ray Tracing of Particles.” IEEE, pp. 42–52, 2020. doi: 10.1109/ldav51489.2020.00012.
    2. N. Pathmanathan et al., “Eye vs. Head: Comparing Gaze Methods for Interaction in Augmented Reality,” in Proceedings of the Symposium on Eye Tracking Research & Applications (ETRA), ACM, 2020, pp. 50:1–50:5. doi: 10.1145/3379156.3391829.
    3. S. Öney et al., “Evaluation of Gaze Depth Estimation from Eye Tracking in Augmented Reality,” in Proceedings of the Symposium on Eye Tracking Research & Applications-Short Paper (ETRA-SP), ACM, 2020, pp. 49:1–49:5. doi: 10.1145/3379156.3391835.
    4. G. Reina et al., “The moving target of visualization software for an increasingly complex world,” Computers & Graphics, vol. 87, pp. 12–29, Apr. 2020, [Online]. Available: https://doi.org/10.1016%2Fj.cag.2020.01.005

  6. 2019

    1. G. Reina, P. Gralka, and T. Ertl, “A decade of particle-based scientific visualization,” The European Physical Journal (Special Topics), Art. no. 14, 2019, doi: 10.1140/epjst/e2019-800172-4.
    2. T. Rau, P. Gralka, O. Fernandes, G. Reina, S. Frey, and T. Ertl, “The Impact of Work Distribution on in Situ Visualization: A Case Study,” in Proceedings of the Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, in ISAV ’19. New York, NY, USA: ACM, 2019, pp. 17–22. doi: 10.1145/3364228.3364233.
    3. P. Gralka et al., “MegaMol – a comprehensive prototyping framework for visualizations,” The European Physical Journal (Special Topics), Art. no. 14, 2019, doi: 10.1140/epjst/e2019-800167-5.
    4. 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.

  7. 2018

    1. P. Gralka et al., “2016 IEEE Scientific Visualization Contest Winner: Visual and Structural Analysis of Point-based Simulation Ensembles,” IEEE Computer Graphics and Applications, vol. 38, Art. no. 3, 2018, doi: 10.1109/mcg.2017.3301120.
    2. C. Müller et al., “Interactive Molecular Graphics for Augmented Reality Using HoloLens,” Journal of Integrative Bioinformatics, vol. 15, Art. no. 2, 2018.
    3. D. Herr, J. Reinhardt, G. Reina, R. Krüger, R. V. Ferrari, and T. Ertl, “Immersive Modular Factory Layout Planning using Augmented Reality,” Procedia CIRP, vol. 72, pp. 1112–1117, 2018.
    4. M. Ibrahim, P. Wickenhäuser, P. Rautek, G. Reina, and M. Hadwiger, “Screen-Space Normal Distribution Function Caching for Consistent Multi-Resolution Rendering of Large Particle Data,” IEEE Transactions on Visualization and Computer Graphics, vol. 24, Art. no. 1, 2018, doi: 10.1109/TVCG.2017.2743979.

  8. 2017

    1. P. Gralka, C. Schulz, G. Reina, D. Weiskopf, and T. Ertl, “Visual Exploration of Memory Traces and Call Stacks,” in Proceedings of the IEEE Working Conference on Software Visualization (VISSOFT), IEEE, 2017, pp. 54–63. doi: 10.1109/VISSOFT.2017.15.
    2. M. Krone et al., “From Visualization Research to Public Presentation - Design and Realization of a Scientific Exhibition,” in Proceedings of SIGRAD 2017, 2017.
    3. M. Krone et al., “Molecular Surface Maps,” IEEE Transactions on Visualization and Computer Graphics (Proceedings of the Scientific Visualization 2016), vol. 23, Art. no. 1, 2017, doi: 10.1109/TVCG.2016.2598824.
    4. M. Becher, M. Krone, G. Reina, and T. Ertl, “Feature-based Volumetric Terrain Generation,” in ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games (i3D), 2017. doi: 10.1145/3023368.3023383.
    5. T. Rau, M. Krone, G. Reina, and T. Ertl, “Challenges and Opportunities using Software-defined Visualization in MegaMol,” in 7th Workshop on Visual Analytics, Information Visualization and Scientific Visualization, 2017.
    6. K. Schatz, M. Krone, C. Müller, J. Schneider, G. Reina, and T. Ertl, “Visualization of Halo Topologies in Dark Matter Simulations,” in Proceedings of TopoInVis, 2017.
    7. M. Krone, G. Reina, S. Zahn, T. Tremel, C. Bahnmüller, and T. Ertl, “Implicit Sphere Shadow Maps,” in IEEE PacificVis - Visualization Notes, 2017.
    8. D. Herr, J. Reinhardt, R. Krüger, G. Reina, and T. Ertl, “Immersive Visual Analytics for Modular Factory Layout Planning,” in Workshop on Immersive Analytics, IEEE, Ed., IEEE, 2017.

  9. 2016

    1. F. Mwalongo, M. Krone, G. Reina, and T. Ertl, “State-of-the-Art Report in Web-based Visualization,” Computer Graphics Forum, vol. 35, Art. no. 3, 2016, doi: 10.1111/cgf.12929.
    2. K. Schatz, C. Müller, M. Krone, J. Schneider, G. Reina, and T. Ertl, “Interactive Visual Exploration of a Trillion Particles,” in Symposium on Large Data Analysis and Visualization (LDAV), IEEE, Ed., 2016. doi: 10.1109/LDAV.2016.7874310.
    3. F. Mwalongo, M. Krone, M. Becher, G. Reina, and T. Ertl, “GPU-based Remote Visualization of Dynamic Molecular Data on the Web,” Graphical Models, vol. 88, 2016, doi: 10.1016/j.gmod.2016.05.001.
    4. C. Müller, M. Krone, K. Scharnowski, G. Reina, and T. Ertl, “An Evaluation of the Utility of Large High-Resolution Displays for Comparative Scientific Visualisation,” International Journal of Software and Informatics (IJSI), vol. 9, Art. no. 3, 2016.
    5. M. Falk, S. Grottel, M. Krone, and G. Reina, “Interactive GPU-based Visualization of Large Dynamic Particle Data,” Synthesis Lectures on Visualization, vol. 4, Art. no. 3, 2016, doi: 10.2200/S00731ED1V01Y201608VIS008.
    6. S. Grottel, G. Reina, M. Krone, C. Müller, and T. Ertl, “MegaMol - for Fun and Profit,” in Workshop on Visualization in Practice, 2016.
    7. D. Kauker, M. Falk, G. Reina, A. Ynnerman, and T. Ertl, “VoxLink - Combining sparse volumetric data and geometry for efficient rendering,” Computational Visual Media, vol. 2, Art. no. 1, 2016.

  10. 2015

    1. C. Müller, G. Reina, and T. Ertl, “In-Situ Visualisation of Fractional Code Ownership over Time,” in International Symposium on Visual Information Communication and Interaction (VINCI), ACM, 2015. doi: 10.1145/2801040.2801055.
    2. C. Müller, M. Krone, K. Scharnowski, G. Reina, and T. Ertl, “On the Utility of Large High-Resolution Displays for Comparative Scientific Visualisation,” in International Symposium on Visual Information Communication and Interaction (VINCI), ACM, 2015, pp. 131–136. doi: 10.1145/2801040.2801045.
    3. S. Grottel, M. Krone, C. Müller, G. Reina, and T. Ertl, “MegaMol – A Prototyping Framework for Particle-based Visualization,” IEEE Transactions on Visualization and Computer Graphics, vol. 21, Art. no. 2, 2015, doi: 10.1109/TVCG.2014.2350479.
    4. K. Scharnowski, M. Krone, G. Reina, and T. Ertl, “On the Reproducibility of our Biomolecular Visualization,” in EuroRV3: EuroVis Workshop on Reproducibility, Verification, and Validation in Visualization, W. Aigner, P. Rosenthal, and C. Scheidegger, Eds., The Eurographics Association, 2015. doi: 10.2312/eurorv3.20151142.
    5. A. Panagiotidis, G. Reina, M. Burch, T. Pfannkuch, and T. Ertl, “Consistently GPU-Accelerated Graph Visualization,” in International Symposium on Visual Information Communication and Interaction, ACM, 2015, pp. 35–41. doi: 10.1145/2801040.2801053.
    6. F. Mwalongo, M. Krone, M. Becher, G. Reina, and T. Ertl, “Remote Visualization of Dynamic Molecular Data using WebGL,” in International Conference on 3D Web Technology (Web3D), ACM, Ed., 2015. doi: 10.1145/2775292.2775307.

  11. 2014

    1. M. Krone, D. Kauker, G. Reina, and T. Ertl, “Visual Analysis of Dynamic Protein Cavities and Binding Sites,” in IEEE PacificVis - Visualization Notes, 2014. doi: 10.1109/PacificVis.2014.32.
    2. A. Panagiotidis, G. Reina, and T. Ertl, “Strategies for Fault-Tolerant Distributed Visualization,” in IEEE Pacific Visualization Symposium - Visualization Notes, 2014. doi: 10.1109/PacificVis.2014.29.
    3. G. Reina, T. Müller, and T. Ertl, “Incorporating Modern OpenGL into Computer Graphics Education,” Computer Graphics and Applications, IEEE, vol. 34, Art. no. 4, 2014, doi: 10.1109/MCG.2014.69.
    4. K. Scharnowski, M. Krone, G. Reina, T. Kulschewski, J. Pleiss, and T. Ertl, “Comparative Visualization of Molecular Surfaces Using Deformable Models,” Computer Graphics Forum, vol. 33, Art. no. 3, 2014, doi: 10.1111/cgf.12375.
    5. F. Mwalongo, M. Krone, G. K. Karch, M. Becher, G. Reina, and T. Ertl, “Visualization of Molecular Structures using State-of-the-Art Techniques in WebGL,” in International Conference on 3D Web Technology (Web3D′14), 2014. doi: 10.1145/2628588.2628597.
    6. M. Krone et al., “Evaluation of Visualizations for Interface Analysis of SPH,” in EuroVis 2014 Short Papers, 2014. doi: 10.2312/eurovisshort.20141166.
    7. T. Ertl, M. Krone, S. Kesselheim, K. Scharnowski, G. Reina, and C. Holm, “Visual Analysis for Space-Time Aggregation of Biomolecular Simulations,” Faraday Discussions, vol. 169, 2014, doi: 10.1039/C3FD00156C.

  12. 2013

    1. C. Müller, G. Reina, and T. Ertl, “The VVand: A Two-Tier System Design for High-Resolution Stereo Rendering,” in CHI POWERWALL 2013 Workshop, 2013.
    2. D. Kauker, M. Krone, A. Panagiotidis, G. Reina, and T. Ertl, “Evaluation of per-pixel linked lists for distributed rendering and comparative analysis,” Computing and Visualization in Science, vol. 15, Art. no. 3, 2013, doi: 10.1007/s00791-013-0203-6.
    3. P. Gralka, S. Grottel, G. Reina, and T. Ertl, “Application-Specific Compression of Large MD Data Preserving Physical Characteristics,” in Proceedings of IEEE Symposium on Large-Scale Data Analysis and Visualization, 2013. doi: 10.1109/LDAV.2013.6675162.
    4. D. Kauker, M. Krone, A. Panagiotidis, G. Reina, and T. Ertl, “Rendering Molecular Surfaces using Order-Independent Transparency,” in Eurographics Symposium on Parallel Graphics and Visualization (EGPGV), E. Association, Ed., 2013. doi: 10.2312/EGPGV/EGPGV13/033-040.
    5. M. Krone, G. Reina, C. Schulz, T. Kulschewski, J. Pleiss, and T. Ertl, “Interactive Extraction and Tracking of Biomolecular Surfaces Features,” Computer Graphics Forum, vol. 32, Art. no. 3, 2013, doi: 10.1111/cgf.12120.

  13. 2012

    1. S. Frey, G. Reina, and T. Ertl, “SIMT Microscheduling: Reducing Thread Stalling in Divergent Iterative Algorithms,” in 20th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), 2012, 2012. doi: 10.1109/PDP.2012.62.
    2. S. Grottel et al., “Visualization of Electrostatic Dipoles in Molecular Dynamics of Metal Oxides.,” IEEE Trans. Vis. Comput. Graph., vol. 18, Art. no. 12, 2012, [Online]. Available: http://dblp.uni-trier.de/db/journals/tvcg/tvcg18.html#GrottelBMRRTE12
    3. R. Krüger et al., “HIVEBEAT – A Highly Interactive Visualization Environment for Broad-Scale Exploratory Analysis and Tracing,” in IEEE Conference on Visual Analytics Science and Technology (VAST), 2012. doi: 10.1109/VAST.2012.6400518.
    4. M. Burch, C. Müller, G. Reina, H. Schmauder, M. Greis, and D. Weiskopf, “Visualizing Dynamic Call Graphs,” in Vision, Modeling & Visualization, The Eurographics Association, 2012. doi: 10.2312/PE/VMV/VMV12/207-214.
    5. C. Müller, G. Reina, M. Burch, and D. Weiskopf, “Large-Scale Visualization Projects for Teaching Software Engineering,” Computer Graphics and Applications, vol. 32, Art. no. 4, 2012, doi: 10.1109/MCG.2012.81.

  14. 2008

    1. G. Reina, “Visualization of Uncorrelated Point Data,” 2008. [Online]. Available: http://elib.uni-stuttgart.de/opus/volltexte/2009/4517

  15. 2007

    1. G. Reina, T. Klein, and T. Ertl, “Visualization of Attributed 3D Point Datasets,” Point-Based Graphics, 2007.
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