The Transregional Collaborative Research Centre 161 “Quantitative Methods for Visual Computing” is an interdisciplinary research centre at the University of Stuttgart and the University of Konstanz, funded by Deutsche Forschungsgemeinschaft (DFG) under project number 251654672. Ulm University and Ludwig-Maximilians-Universität München are participating institutions in the second and third funding period. The Max Planck Institute for Biological Cybernetics in Tübingen in was a participating institution in the first funding period.

The goal of SFB/Transregio 161 is establishing the paradigm of quantitative science in the field of visual computing, which is a long-term endeavour requiring a fundamental research effort broadly covering four research areas, namely quantitative models and measures, adaptive algorithms, interaction and applications. In the third funding period, which started in 2023, new research directions are being approached. One is visual explainability, assessing and quantifying how well the users of a visualisation system understand the phenomena shown visually. The second direction targets mixed reality, covering all forms of augmented and virtual reality as a cross-cutting field of various visual computing subfields, irrespective of applied technology. The third research theme aims to bring research results in the world, moving away from experiments in the laboratory and in the wild to openly accessible applications that provide research results, methods, data sets, and other outcomes from SFB/Transregio 161 to a wide range of stakeholders in academia, industry, teaching, and society in general.

In SFB/Transregio 161, approximately 40 scientists in the fields of computer science, visualisation, computer vision, human computer interaction, linguistics and applied psychology are jointly working on improving the quality of future visual computing methods and applications.

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Oct 6, 2023
Aug 16, 2023 - SFB-TRR 161 B04 "Adaptive Algorithms for Motion Estimation"
Schmalfuss, Jenny; Mehl, Lukas; Bruhn, Andrés, 2023, "Distracting Downpour - Adversarial Weather Attacks for Motion Estimation (Replication Data)",, DaRUS, V1
This dataset contains the generated weather configurations as png and npz files.
SFB-TRR 161 A09 "Scalability and Complexity in Immersive Analytics" logo
Aug 4, 2023
This project aims at deepening the understanding of scale and complexity effects for data analysis in immersive environments. To this end, the scale and complexity space for immersive analytics will be characterised, and effects and limits of scale and complexity dimensions will...
SFB-TRR 161 C05 "Human-Machine Interaction with Adaptive Multisensory Systems" logo
Aug 4, 2023
In this project, we will carry out behavioural experiments using human participants and base our empirical choices on the framework of optimal decision theory as derived from the Bayesian approach. This approach can be used as a tool to construct ideal observer models against whi...
SFB-TRR 161 B06 "Adaptive Algorithms for Graph Views and View Transitions" logo
Aug 4, 2023
The goal of this project is to develop new algorithms that allow user-customised graph views and smooth transitions between different types of graph visualisations.
SFB-TRR 161 A06 "Quantitative Quality Assessment of Computational Photography" logo
Aug 4, 2023
Computational photography (CP) has in recent years emerged as a vibrant sub-field within visual computing and has brought forth highly creative techniques, expanding the notion of a camera beyond the traditional model. By combining novel optical designs with algorithmic technique...
SFB-TRR 161 B02 "Adaptive Network Visualization" logo
Aug 4, 2023
We plan to extend stress-minimisation approaches for general graph layout. Current algorithms fail on specific classes of input graphs, for instance because of scale, diameter, or skewed degree distributions. Moreover, characteristics of the output device and user interactions ar...
SFB-TRR 161 C02 "Physiologically Based Interaction and Adaptive Visualization" logo
Aug 4, 2023
In this project, we research new methods and techniques for cognition-aware visualisations. The basic idea is that a cognition-aware adaptive visualisation will observe the physiological response of a person while interacting with a system und use this implicit input. Electrical...
SFB-TRR 161 C03 "Immersive Virtual Environments"(Max Planck Institute for Biological Cybernetics)
SFB-TRR 161 C03 "Immersive Virtual Environments" logo
Aug 4, 2023
Immersive virtual environments (IVEs) simulate real-world scenarios for purposes ranging from entertainment to safety-critical training (e.g., surgery, driving or flying). This project investigates how computationally demanding IVEs can be optimised to ensure realistic user perfo...
SFB-TRR 161 C04 "Metrics for Mobile Visualization and Interaction Techniques through 'Research in the Large'" logo
Aug 4, 2023
Models and metrics of visualisation and interaction techniques can predict the time a person needs to understand presented information and to execute a task. Previous work mainly focused on basic models. What is missing are models and metrics for realistic use cases and novel int...
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