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. 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. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.

  2. 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.

  3. 2021

    1. 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
    2. C. Schulz et al., “Multi-Class Inverted Stippling,” ACM Trans. Graph., vol. 40, Art. no. 6, Dec. 2021, doi: 10.1145/3478513.3480534.
    3. 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
    4. S. Frey et al., “Visual Analysis of Two-Phase Flow Displacement Processes in Porous Media,” Computer Graphics Forum, 2021, doi: 10.1111/cgf.14432.
    5. 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

  4. 2020

    1. 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.
    2. 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
    3. 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.
    4. 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.

  5. 2019

    1. 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.
    2. 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.
    3. 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.
    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.

  6. 2018

    1. C. Müller et al., “Interactive Molecular Graphics for Augmented Reality Using HoloLens,” Journal of Integrative Bioinformatics, vol. 15, Art. no. 2, 2018.
    2. 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.
    3. 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.
    4. 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.

  7. 2017

    1. 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.
    2. 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.
    3. 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.
    4. M. Krone, G. Reina, S. Zahn, T. Tremel, C. Bahnmüller, and T. Ertl, “Implicit Sphere Shadow Maps,” in IEEE PacificVis - Visualization Notes, 2017.
    5. 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.
    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 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.
    8. M. Krone et al., “From Visualization Research to Public Presentation - Design and Realization of a Scientific Exhibition,” in Proceedings of SIGRAD 2017, 2017.

  8. 2016

    1. 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.
    2. S. Grottel, G. Reina, M. Krone, C. Müller, and T. Ertl, “MegaMol - for Fun and Profit,” in Workshop on Visualization in Practice, 2016.
    3. 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.
    4. 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.
    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. 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.
    7. 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.

  9. 2015

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.

  10. 2014

    1. 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.
    2. 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.
    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. 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.
    5. 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.
    6. 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.
    7. M. Krone et al., “Evaluation of Visualizations for Interface Analysis of SPH,” in EuroVis 2014 Short Papers, 2014. doi: 10.2312/eurovisshort.20141166.

  11. 2013

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.

  12. 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. 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.
    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. 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
    5. 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.

  13. 2007

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