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.
New project focuses on methods that detect subtle quality differences in highly compressed images.
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Postdoctoral researcher in Project D04 wins award for her dissertation.
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New study with participation of members from Project A08 investigates effects of avatars that reflect users' real-life disabilities.
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Jan 19th, 2026, 4 pm - 6 pm
University of Konstanz
Held by:
Jakub Lokoč, Charles University, Prague, Czech Republic
Abstract:
During the last decade, the landscape of video search models significantly shifted towards large end-to-end trained network architectures. These deep models allow users to effectively search for an arbitrary object or activity by means of a free form text prompt. So, is there still a room for research and innovation? In the talk, ML-resistant topics will be discussed along with ongoing research that tries to solve particular challenging tasks. Specifically, recent result set visual inspection studies as well as localized search models will be detailed and their findings will be presented. The talk will be concluded with an outlook to the future of interactive video search domain.
Bio:
Jakub Lokoč is an associate professor at the Department of SW Engineering, Matfyz, Charles University, Prague. He is a founding member of the SIRET research group, and his research interests span video retrieval, similarity search and metric indexing. He was the main investigator of several research projects and currently co-organizes international evaluation campaigns focusing on video retrieval. He teaches courses on video retrieval and database technologies.
Location:
University of Konstanz, Room ZT 702.
University of Stuttgart: The lecture will be transmitted to VISUS, room 00.012
The talks are available via Zoom.
Meeting ID: 622 3925 2688
Passcode: 375786
For participants via Zoom: The transmission will kindly be managed by Dimitar Garkov. He will be on site and monitor/manage the Zoom-Session incl. Q&A during and after the talk as well. Please do not hesitate to get in touch with Dimitar in case of questions or problems regarding the transmission/your online participation: dimitar.garkov@uni-konstanz.de
Jan 26th, 2026, 4 pm - 6 pm
LMU Munich
Held by:
Joanna Bergström, University of Copenhagen, Denmark
Abstract:
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Bio:
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Location:
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Feb 2nd, 2026, 4 pm - 6 pm
University of Stuttgart
Held by:
Michael Doggett, Lund University, Sweden
Abstract:
tba
Bio:
tba
Location:
tba
Mar 12th - 13st, 2026
University of Konstanz, Room ZT 1204 (Data Theatre)
Organized by:
Patrick Paetzold, Michael Stroh, Ying Zhang
Proposal Submission:
Given the success of past Hackathons, we encourage you to submit a proposal to recruit talented individuals for your project at this year’s event. Please email your PDF to Ying Zhang.
Proposal Deadline: Dec 1st, 2025.
Once we've collected all the proposals and given the authors their feedback, you'll be asked to vote on a topic to get involved.
Location:
University of Konstanz, Room ZT 1204 (Data Theatre)
Jun 16th - 17th, 2026, full days
The SFB-TRR 161 produces videos to give insights into the projects and the ongoing research. Please visit our YouTube Channel.
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.
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.
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