Publications

Martin Lorenz, Tiago Amorim, Debargha Dey, Mersedeh Sadeghi, and Patrick Ebel. Computational Models for In-Vehicle User Interface Design: A Systematic Literature Review. July 2024. [PUMA: Computational Design In-Vehicle Interface Literature Models Review User]

Patrick Ebel, Ibrahim Emre Göl, Christoph Lingenfelder, and Andreas Vogelsang. Destination Prediction Based on Partial Trajectory Data. 2020. [PUMA: Based Data Destination Partial Prediction Trajectory on] URL

Martin Lorenz, Tiago Amorim, Debargha Dey, Mersedeh Sadeghi, and Patrick Ebel. Computational Models for In-Vehicle User Interface Design: A Systematic Literature Review. Proceedings of the 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 204–215, Association for Computing Machinery, New York, NY, USA, 2024. [PUMA: automated cognitive computational driving interfaces literature modeling review user] URL

Patrick Ebel, Julia Orlovska, Sebastian Hünemeyer, Casper Wickman, Andreas Vogelsang, and Rikard Söderberg. Automotive UX design and data-driven development: Narrowing the gap to support practitioners. Transportation Research Interdisciplinary Perspectives, (11):100455, 2021. [PUMA: Automotive UX data-driven design development practitioners support] URL

Patrick Ebel, Florian Brokhausen, and Andreas Vogelsang. The Role and Potentials of Field User Interaction Data in the Automotive UX Development Lifecycle: An Industry Perspective. 12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 141–150, Association for Computing Machinery, New York, NY, USA, 2020. [PUMA: experience in-vehicle information interview study systems user] URL

Patrick Ebel, Kim Julian Gülle, Christoph Lingenfelder, and Andreas Vogelsang. ICEBOAT: An Interactive User Behavior Analysis Tool for Automotive User Interfaces. Adjunct Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology, Association for Computing Machinery, New York, NY, USA, 2022. [PUMA: Data Design Driving Human-Computer In-Vehicle Information Interaction Naturalistic System Tools Visualization] URL

Marzan Tasnim Oyshi, Benjamin Russig, Raimund Dachselt, and Stefan Gumhold. VRCellLabeler (VCL): Immersive labeling of Platynereis embryo's cell lineage trees in Virtual Reality. September 2022. [PUMA: Immersive Platynereis Reality VCL VRCellLabeler Virtual cell embryo's labeling lineage trees]

Somnath Dutta, Benjamin Russig, and Stefan Gumhold. 3D Point Set Registration based on Hierarchical Descriptors. Journal of WSCG, (30):44-53, August 2022. [PUMA: 3D Descriptors Hierarchical Point Registration Set]

Tobias Hänel, Nishant Kumar, Dmitrij Schlesinger, Mengze Li, Erdem Ünal, Abouzar Eslami, and Stefan Gumhold. Enhancing Fairness of Visual Attribute Predictors. Proceedings of the Asian Conference on Computer Vision (ACCV), 1211-1227, December 2022. [PUMA: Attribute Enhancing Fairness Predictors Visual]

Marzan Tasnim Oyshi, Verena Maleska, Jochen Schanze, Franziskus Bormann, Raimund Dachselt, and Stefan Gumhold. FloodVis: Visualization of Climate Ensemble Flood Projections in Virtual Reality.. EnvirVis@ EuroVis, 1--9, 2022. [PUMA: Climate Ensemble Flood FloodVis Projections Reality. Virtual Visualization]

Britta Pester, Benjamin Russig, Oliver Winke, Carolin Ligges, Raimund Dachselt, and Stefan Gumhold. Understanding multi-modal brain network data: An immersive 3D visualization approach. Comput. Graph., (106)C:88–97, Pergamon Press, Inc., USA, August 2022. [PUMA: EEG Immersive Origin–destination Partial brain coherence connectivity directed reality virtual visualization] URL

Marzan Tasnim Oyshi, Danny Schober, Juliette-Michelle Burkhardt, Verena Maleska, Tillmann Auguszt, Linus Langhans, Richard Karl Fuchs, and Stefan Gumhold. ExtremeWeatherVis: Visualizing Extreme Weather Events for Multi-City in Virtual Reality to Support Decision Making. In Soumya Dutta, Kathrin Feige, Karsten Rink, and Baldwin Nsonga (Eds.), Workshop on Visualisation in Environmental Sciences (EnvirVis), The Eurographics Association, 2024. [PUMA: Decision Events Extreme ExtremeWeatherVis Making Multi-City Reality Virtual Visualizing Weather]

Nishant Kumar, Lukas Krause, Thomas Wondrak, Sven Eckert, Kerstin Eckert, and Stefan Gumhold. Robust Reconstruction of the Void Fraction from Noisy Magnetic Flux Density Using Invertible Neural Networks. Sensors, (24)42024. [PUMA: Density Flux Fraction Invertible Magnetic Networks Neural Noisy Reconstruction Void] URL

Somnath Dutta, Benjamin Russig, and Stefan Gumhold. GPU-Accelerating Hierarchical Descriptors for Point Set Registration. November 2023. [PUMA: Descriptors GPU-Accelerating Hierarchical Point Registration Set]

Masoud Taghikhah, Nishant Kumar, Sinisa Segvić, Abouzar Eslami, and Stefan Gumhold. Quantile-based maximum likelihood training for outlier detection. Proc. Conf. AAAI Artif. Intell., (38)19:21610--21618, Association for the Advancement of Artificial Intelligence (AAAI), March 2024. [PUMA: Quantile-based detection likelihood maximum outlier training]

Baldwin Nsonga, Jordi Ventosa-Molina, Denis Koschichow, Jochen Fröhlich, Stefan Gumhold, and Gerik Scheuermann. Visual analysis of the impact of periodic wakes on the pressure side of a turbine blade. Journal of Visualization, (26)June 2023. [PUMA: Visual analysis blade impact periodic pressure side turbine wakes]

Aryaman Gupta, Ulrik Günther, Pietro Incardona, Guido Reina, Steffen Frey, Stefan Gumhold, and Ivo F Sbalzarini. Efficient raycasting of volumetric depth images for remote visualization of large volumes at high frame rates. 2023 IEEE 16th Pacific Visualization Symposium (PacificVis), IEEE, April 2023. [PUMA: depth frame high images large rates raycasting remote visualization volumes volumetric]

Marzan Tasnim Oyshi, Sebastian Vogt, and Stefan Gumhold. TmoTA: Simple, highly responsive tool for multiple object tracking annotation. Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 1--11, ACM, New York, NY, USA, April 2023. [PUMA: TmoTA annotation multiple object tool tracking]

Elias Werner, Nishant Kumar, Matthias Lieber, Sunna Torge, Stefan Gumhold, and Wolfgang E Nagel. Examining Computational Performance of Unsupervised Concept Drift Detection: A Survey and Beyond. arXiv preprint arXiv:2304.08319, 2023. [PUMA: Computational Concept Detection Drift Performance Unsupervised]

Weizhou Luo, Zhongyuan Yu, Rufat Rzayev, Marc Satkowski, Stefan Gumhold, Matthew McGinity, and Raimund Dachselt. PEARL: Physical Environment based Augmented Reality Lenses for In-Situ Human Movement Analysis. Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 381Association for Computing Machinery, New York, NY, USA, April 2023. [PUMA: Analytics Immersive In-situ affordance analysis augmented/mixed data movement physical reality referents visualization] URL