2023W

• Bachelor Thesis for Computer Science and Business Informatics / 186.829 / PR
• Exclusive Turorial for PhDs (method seminar) / 186.070 / PV
• Interdisciplinary Project in Data Science / 194.147 / PR
• Project in Visual Computing 1 / 193.023 / PR
• Project in Visual Computing 2 / 193.024 / PR
• Realtime Visualization / 186.191 / VU
• Scientific Publishing 1 / 186.185 / PR
• Scientific Research and Writing / 193.052 / SE
• Selected Topics in Computer Graphics / 186.167 / VU
• Seminar for Master Students in Visual Computing / 180.774 / SE
• Seminar for PhD students / 186.195 / SE
• Seminar in Visualization / 186.046 / SE
• Visualization 1 / 186.827 / VU
• Visualization 2 / 186.833 / VU

• Visual Analytics and Computer Vision meet Cultural Heritage
  2023 – 2027 / Austrian Science Fund (FWF)
• Joint Human-Machine Data Exploration
  2023 – 2026 / Austrian Science Fund (FWF)
  Publications: 187890 / 187891
• Visual Information Foraging on the Desktop
  2015 – 2019 / Austrian Science Fund (FWF)

2023

• Illustrative Motion Smoothing for Attention Guidance in Dynamic Visualizations / Eschner, J., Mindek, P., & Waldner, M. (2023). Illustrative Motion Smoothing for Attention Guidance in Dynamic Visualizations. Computer Graphics Forum, 42(3), 361–372. https://doi.org/10.1111/cgf.14836
  Download: PDF (8.67 MB)
• WebGPU for Scalable Client-Side Aggregate Visualization / Kimmersdorfer, G., Wolf, D., & Waldner, M. (2023). WebGPU for Scalable Client-Side Aggregate Visualization. In C. Gillmann, M. Krone, & S. Lenti (Eds.), EuroVis 2023 - Posters (pp. 105–107). Eurographics. https://doi.org/10.2312/evp.20231079
  Download: Extended Abstract (1.4 MB)
  Project: JDE (2023–2026)
• Visual Exploration of Indirect Bias in Language Models / Louis-Alexandre Dit Petit-Frere, J., & Waldner, M. (2023). Visual Exploration of Indirect Bias in Language Models. In T. Hoelt, W. Aigner, & B. Wang (Eds.), EuroVis 2023 - Short Papers. The Eurographics Association. https://doi.org/10.2312/evs.20231034
  Downloads: PDF (122 KB) / PDF (513 KB)
  Project: JDE (2023–2026)

2022

• sMolBoxes: Dataflow Model for Molecular Dynamics Exploration / Ulbrich, P., Waldner, M., Furmanova, K., Marques, S. M., Bednar, D., Kozlikova, B., & Byska, J. (2022). sMolBoxes: Dataflow Model for Molecular Dynamics Exploration. IEEE Transactions on Visualization and Computer Graphics, PP, 1–10. https://doi.org/10.1109/TVCG.2022.3209411
• Concept splatters: Exploration of latent spaces based on human interpretable concepts / Grossmann, N., Gröller, E., & Waldner, M. (2022). Concept splatters: Exploration of latent spaces based on human interpretable concepts. Computers and Graphics, 105, 73–84. https://doi.org/10.1016/j.cag.2022.04.013
  Downloads: PDF (2.58 MB) / Video S1 (37.1 MB) / MMC S1. Supplementary document showing further use cases and discoveries by the case study users. (24 MB)

2021

• Interactive Analysis of CNN Robustness / Sietzen, S., Lechner, M., Borowski, J., Hasani, R., & Waldner, M. (2021). Interactive Analysis of CNN Robustness. Computer Graphics Forum, 40(7), 253–264. https://doi.org/10.1111/cgf.14418
• Does the Layout Really Matter? A Study on Visual Model Accuracy Estimation / Grossmann, N., Bernard, J., Sedlmair, M., & Waldner, M. (2021). Does the Layout Really Matter? A Study on Visual Model Accuracy Estimation. In 2021 IEEE Visualization Conference (VIS). IEEE Computer Society Press. https://doi.org/10.1109/vis49827.2021.9623326
• Nanotilus: Generator of Immersive Guided-Tours in Crowded 3D Environments / Alharbi, R., Strnad, O., Luidolt, L. R., Waldner, M., Kouril, D., Bohak, C., Klein, T., Groeller, E., & Viola, I. (2021). Nanotilus: Generator of Immersive Guided-Tours in Crowded 3D Environments. IEEE Transactions on Visualization and Computer Graphics, 1–1. https://doi.org/10.1109/tvcg.2021.3133592
• Egocentric Network Exploration for Immersive Analytics / Sorger, J., Arleo, A., Kan, P., Knecht, W., & Waldner, M. (2021). Egocentric Network Exploration for Immersive Analytics. In Computer Graphics Forum (pp. 241–252). John Wiley and Sons. https://doi.org/10.1111/cgf.14417
• Linking unstructured evidence to structured observations / Waldner, M., Geymayer, T., Schmalstieg, D., & Sedlmair, M. (2021). Linking unstructured evidence to structured observations. Information Visualization, 20(1), 47–65. https://doi.org/10.1177/1473871620986249
• Visualization working group at TU Wien: Visibile Facimus Quod Ceteri Non Possunt / Wu, H.-Y., Amirkhanov, A., Grossmann, N., Klein, T., Kouřil, D., Miao, H., Luidolt, L. R., Mindek, P., Raidou, R. G., Viola, I., Waldner, M., & Gröller, M. E. (2021). Visualization working group at TU Wien: Visibile Facimus Quod Ceteri Non Possunt. Visual Informatics, 5(1), 76–84. https://doi.org/10.1016/j.visinf.2021.02.003

2020

• Interactive exploration of large time-dependent bipartite graphs / Waldner, M., Steinböck, D., & Gröller, E. (2020). Interactive exploration of large time-dependent bipartite graphs. Journal of Computer Languages, 57(100959), 100959. https://doi.org/10.1016/j.cola.2020.100959
• The moving target of visualization software for an increasingly complex world / Reina, G., Childs, H., Matković, K., Bühler, K., Waldner, M., Pugmire, D., Kozlíková, B., Ropinski, T., Ljung, P., Itoh, T., Gröller, E., & Krone, M. (2020). The moving target of visualization software for an increasingly complex world. Computers and Graphics, 87, 12–29. https://doi.org/10.1016/j.cag.2020.01.005

2019

• Cuttlefish: Color Mapping for Dynamic Multi‐Scale Visualizations / Waldin, N., Waldner, M., Le Muzic, M., Gröller, E., Goodsell, D. S., Autin, L., Olson, A. J., & Viola, I. (2019). Cuttlefish: Color Mapping for Dynamic Multi‐Scale Visualizations. Computer Graphics Forum, 38(6), 150–164. https://doi.org/10.1111/cgf.13611
• Immersive Analytics of Large Dynamic Networks via Overview and Detail Navigation / Sorger, J., Waldner, M., Knecht, M., & Arleo, A. (2019). Immersive Analytics of Large Dynamic Networks via Overview and Detail Navigation. In 2nd International Conference on Artificial Intelligence & Virtual Reality (p. 9). IEEE Computer Society Press. http://hdl.handle.net/20.500.12708/57963
• A Comparison of Radial and Linear Charts for Visualizing Daily Patterns / Waldner, M., Diehl, A., Gracanin, D., Splechtna, R., Delrieux, C., & Matkovic, K. (2019). A Comparison of Radial and Linear Charts for Visualizing Daily Patterns. In IEEE Transactions on Visualization and Computer Graphics (pp. 1–1). IEEE Computer Society. https://doi.org/10.1109/tvcg.2019.2934784
• Immersive Analytics of Large Dynamic Networks via Overview and Detail Navigation / Sorger, J., Waldner, M., Knecht, W., & Arleo, A. (2019). Immersive Analytics of Large Dynamic Networks via Overview and Detail Navigation. In 2nd International Conference on Artificial Intelligence & Virtual Reality. Ieee Aivr 2019, San Diego, California, USA, Non-EU. http://hdl.handle.net/20.500.12708/57887
• Analysis of Long Molecular Dynamics Simulations Using Interactive Focus+Context Visualization / Byska, J., Trautner, T., Marques, S., Damborsky, J., Kozlikova, B., & Waldner, M. (2019). Analysis of Long Molecular Dynamics Simulations Using Interactive Focus+Context Visualization. In Computer Graphics Forum (pp. 441–453). Eurograhics. http://hdl.handle.net/20.500.12708/55525
• Collecting and Structuring Information in the Information Collage / Sippl, S., Sedlmair, M., & Waldner, M. (2019). Collecting and Structuring Information in the Information Collage (TR-193-02-2019-2). http://hdl.handle.net/20.500.12708/39820

2018

• Exploring visual attention and saliency modeling for task-based visual analysis / Polatsek, P., Waldner, M., Viola, I., Kapec, P., & Benesova, W. (2018). Exploring visual attention and saliency modeling for task-based visual analysis. Computers and Graphics, 72, 26–38. https://doi.org/10.1016/j.cag.2018.01.010
• Visual Data Exploration and Analysis in Emerging Display Environments / Waldner, M. (2018). Visual Data Exploration and Analysis in Emerging Display Environments. Emerging Technologies in Scientific Data Visualisation - CECAM, Pisa, EU. http://hdl.handle.net/20.500.12708/86710
• Casual Visual Exploration of Large Bipartite Graphs Using Hierarchical Aggregation and Filtering / Steinböck, D., Gröller, E., & Waldner, M. (2018). Casual Visual Exploration of Large Bipartite Graphs Using Hierarchical Aggregation and Filtering. In 2018 International Symposium on Big Data Visual and Immersive Analytics (BDVA). International Symposium on Big Data Visual and Immersive Analytics, Konstanz, EU. https://doi.org/10.1109/bdva.2018.8533894
• Visualizing Expanded Query Results / Mazurek, M., & Waldner, M. (2018). Visualizing Expanded Query Results. In Proceedings of EuroVis 2018 (pp. 87–98). Computer Graphics Forum. http://hdl.handle.net/20.500.12708/57378

2017

• How Sensemaking Tools Influence Display Space Usage / Geymayer, T., Waldner, M., Lex, A., & Schmalstieg, D. (2017). How Sensemaking Tools Influence Display Space Usage. In M. Sedlmair & C. Tominski (Eds.), EuroVis Workshop on Visual Analytics (EuroVA) (pp. 7–12). The Eurographics Association. https://doi.org/10.2312/eurova.20171112
• Guiding Attention in Complex Visualizations using Flicker / Waldner, M. (2017). Guiding Attention in Complex Visualizations using Flicker. Czech Technical Univ., Prag, EU. http://hdl.handle.net/20.500.12708/86633
• Flicker Observer Effect: Guiding Attention Through High Frequency Flicker in Images / Waldin, N., Waldner, M., & Viola, I. (2017). Flicker Observer Effect: Guiding Attention Through High Frequency Flicker in Images. In Proceedings of Eurographics (pp. 467–476). Computer Graphics Forum. http://hdl.handle.net/20.500.12708/57008
• Exploring visual prominence of multi-channel highlighting in visualizations / Waldner, M., Karimov, A., & Gröller, E. (2017). Exploring visual prominence of multi-channel highlighting in visualizations. In Proceedings of the 33rd Spring Conference on Computer Graphics. Spring Conference on Computer Graphics, Budmerice, Slovakia, Austria. ACM. https://doi.org/10.1145/3154353.3154369

2016

• The Accuracy of Gauge-Figure Tasks in Monoscopic and Stereo Displays / Bernhard, M., Waldner, M., Plank, P., Soltészová, V., & Viola, I. (2016). The Accuracy of Gauge-Figure Tasks in Monoscopic and Stereo Displays. IEEE Computer Graphics and Applications, 36(4), 56–66. https://doi.org/10.1109/mcg.2016.45
• Chameleon Dynamic Color Mapping for Multi-Scale Structural Biology Models / Waldin, N., Le Muzic, M., Waldner, M., Gröller, E., & Viola, I. (2016). Chameleon Dynamic Color Mapping for Multi-Scale Structural Biology Models. In S. Bruckner, B. Preim, A. Vilanova, H. Hauser, A. Hennemuth, & A. Lundervold (Eds.), Eurographics Workshop on Visual Computing for Biology and Medicine (pp. 11–20). Eurographics Digital Library. https://doi.org/10.2312/vcbm.20161266

2015

• Illustrative Timelapse: A technique for illustrative visualization of particle-based simulations / Le Muzic, M., Waldner, M., Parulek, J., & Viola, I. (2015). Illustrative Timelapse: A technique for illustrative visualization of particle-based simulations. In 2015 IEEE Pacific Visualization Symposium (PacificVis). IEEE Pacific Visualization, Ithaca, NY, Non-EU. Visualization Symposium (PacificVis), 2015. https://doi.org/10.1109/pacificvis.2015.7156384

2014

• Attractive Flicker: Guiding Attention in Dynamic Narrative Visualizations / Waldner, M., Le Muzic, M., Bernhard, M., Purgathofer, W., & Viola, I. (2014). Attractive Flicker: Guiding Attention in Dynamic Narrative Visualizations. IEEE Transactions on Visualization and Computer Graphics, 2456–2465. https://doi.org/10.1109/tvcg.2014.2346352
• Illustrative Visualization of Biochemical Processes Featuring Multiple Temporal Scales / Le Muzic, M., Parulek, J., Waldner, M., & Viola, I. (2014). Illustrative Visualization of Biochemical Processes Featuring Multiple Temporal Scales. Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM), Chester, United Kingdom, EU. http://hdl.handle.net/20.500.12708/85971
• Graphical Histories of Information Foraging / Waldner, M., Bruckner, S., & Viola, I. (2014). Graphical Histories of Information Foraging. In NordiCHI´14 - Nordic Conference on Human-Computer Interaction (pp. 295–304). Proceedings of the 8th Nordic Conference on Human-Computer Interaction: Fun, Fast, Foundational. http://hdl.handle.net/20.500.12708/55819

2013

• Towards Ubiquitous Information Space Management / Waldner, M., & Schmalstieg, D. (2013). Towards Ubiquitous Information Space Management. In POWERWALL: International Workshop on Interactive, Ultra-High-Resolution Displays, part of the SIGCHI Conference on Human Factors in Computing Systems (2013) (pp. 1–6). http://hdl.handle.net/20.500.12708/54755
• FacetClouds: Exploring Tag Clouds for Multi-Dimensional Data / Waldner, M., & Schrammel, J. (2013). FacetClouds: Exploring Tag Clouds for Multi-Dimensional Data. In Graphics Interface Conference 2013 (pp. 17–56). Proceedings of the 2013 Graphics Interface Conference. http://hdl.handle.net/20.500.12708/54754

• Real-time avalanche risk visualization on a large-scale geospatial dataset / Eschner, J. (2023). Real-time avalanche risk visualization on a large-scale geospatial dataset [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.102961
  Download: PDF (4.53 MB)
• Constraint-Based 3D Manipulation for Molecular Modelling on the Web / da Cunha Melo, L. (2023). Constraint-Based 3D Manipulation for Molecular Modelling on the Web [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.104307
  Download: PDF (2.72 MB)
• Multi-faceted visual analysis of inter-observer variability / Bayat, H. C. (2022). Multi-faceted visual analysis of inter-observer variability [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2022.105180
  Download: PDF (4.6 MB)
• Visual exploration of indirect biases in natural language processing transformer models / Louis-Alexandre Dit Petit-Frere, J. (2022). Visual exploration of indirect biases in natural language processing transformer models [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2022.99921
  Download: PDF (2.89 MB)
• Visual analytics for convolutional neural network robustness / Sietzen, S. (2022). Visual analytics for convolutional neural network robustness [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2022.82521
  Download: PDF (8.24 MB)
• Exploratory visual system for predictive machine learning of event-organisation data / Sbardellati, M. (2021). Exploratory visual system for predictive machine learning of event-organisation data [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2021.85640
  Download: PDF (4.54 MB)
• A Study of multi-document active reading in analog and digital environments / Mahler, J. (2021). A Study of multi-document active reading in analog and digital environments [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2021.70704
  Download: PDF (4.5 MB)
• Visualization-guided classification of carbonized seeds from early human civilizations / Gogel, A. (2020). Visualization-guided classification of carbonized seeds from early human civilizations [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2021.62641
  Download: PDF (2.09 MB)
• Halbautomatisches Erstellen von Concept Maps : von Christoph Presch / Presch, C. (2020). Halbautomatisches Erstellen von Concept Maps : von Christoph Presch [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2020.70123
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• Ein visuelles Erkundungstool zur zeitlichen Analyse von Kundenbewertungen / Panayotov, B. (2020). Ein visuelles Erkundungstool zur zeitlichen Analyse von Kundenbewertungen [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2020.70281
  Download: PDF (4.45 MB)
• Interactive visual exploration of large bipartite graphs using firework plots / Unger, K. (2020). Interactive visual exploration of large bipartite graphs using firework plots [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2020.66221
  Download: PDF (9.47 MB)
• Visual active learning for news stream classification / Mazurek, M. (2019). Visual active learning for news stream classification [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2019.56711
  Download: PDF (3.3 MB)
• Bitstream : eine bottom-up/top-down Methode für intteraktive Bitcoin-Visualisierungen : a bottom-up/top-down approxach to data loading for interactive bitcoin visualizations / Gusenbauer, M. (2018). Bitstream : eine bottom-up/top-down Methode für intteraktive Bitcoin-Visualisierungen : a bottom-up/top-down approxach to data loading for interactive bitcoin visualizations [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2018.49040
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• Relevanzorientierte Exploration von Molekulardynamik-Simulationen / Trautner, T. (2018). Relevanzorientierte Exploration von Molekulardynamik-Simulationen [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2018.53541
  Download: PDF (18 MB)
• Interactive visual exploration interface for large bipartite networks / Steinböck, D. (2018). Interactive visual exploration interface for large bipartite networks [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2018.50140
  Download: PDF (13.3 MB)
• Projector-based textures for 3d-printed models / Brenner, S. (2015). Projector-based textures for 3d-printed models [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2015.27629
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