Collaborative Research Center
SFB-TRR 161
Quantitative Methods for Visual Computing
We are living in a data society in which data is generated at amazing speed; individuals, companies, organizations, and governments are on the brink of being drawn into a massive deluge of data. The great challenge is to extract the relevant information from vast amounts of data and communicate it effectively.
Typical scenarios include decision and policy making for urban and environmental planning or understanding relationships and dependencies in complex networks, e.g., social networks or networks from the field of bioinformatics. These scenarios are not only of interest to specialized experts; in fact, there is a trend toward including the broad public, which requires the information to be presented in a reliable, faithful, and easy-to-understand fashion.
Visual computing can play a key role in extracting and presenting the relevant information.
In visual computing research the aspect of quantification is often neglected. The SFB-TRR 161 seeks to close this gap.
The long-term goal is to strengthen the research field by establishing the paradigm of quantitative science in visual computing.
News
September 2023
Best Paper Award for “CelticGraph: Drawing Graphs as Celtic Knots and Links”
Paper wins award at 31st International Symposium on Graph Drawing and Network Visualization
» more »
July
Exhibition “YOUTOPIA” – What Would an Ideal City Look Like?
Final result of the teaching module Media Exhibition Design, in which SFB-TRR 161 project leaders Harald Reiterer and Falk Schreiber are involved.
» more »
Best Presentation Prize at ICVSS 2023 for Jenny Schmalfuss
One of three presentation prizes awarded for poster on "Distracting Downpour: Adversarial Weather Attacks for Motion Estimation"
» more »
SFB-TRR 161 Events
Upcoming Events
Sep 26th, 2023
MobileHCI'23, Athens, Greece
Hybrid Workshop | The Future of Cognitive Personal Informatics
Please contact Francesco Chiossi (C06) for detailed information
Oct 20th, 2023
ISMAR 23 SYD, Sydney, Australia
Workshop | Hybrid User Interfaces
Please contact Harald Reiterer (C01) / Johannes Zagermann (C01) / Tiare Feuchtner (C07) for detailed information
Nov 28th, 2023, 9 am - 17.30 pm
Visualization Research Center, University of Stuttgart
Internal Status Seminar of the SFB-TRR 161
Further Information & Resources
YouTube
The SFB-TRR 161 produces videos to give insights into the projects and the ongoing research. Please visit our YouTube Channel.
Graduate School
PhD students of the projects at the Universities of Stuttgart and Konstanz learn and do research together on their way to their doctoral degree in visual computing.
Visual Computing Blog
The scientists of the SFB-TRR 161 as well as guest authors blog about their activities in computer graphics, visualization, computer vision, augmented reality, human-computer interaction, and psychology.
Partners of the SFB-TRR 161
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© SFB-TRR 161 | Quantitative Methods for Visual Computing | 2019.