November 2026
SFB-TRR 161 Contributions to IEEE VIS 2026
One of the most impactful conferences of the visualization community takes place in Boston from November 9 to 13, 2026.
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October
SFB-TRR 161 Researchers Among World's Top Scientists
Prestigious Stanford/Elsevier ranking lists the most cited researchers in their respective subfields.
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Michael Sedlmair Accepts Call to Darmstadt
Project leader of A08 assumes chair for Visual Computing at TU Darmstadt and joins leadership team at Fraunhofer IGD.
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August
RoCo-Spring: The Robust Correspondence Challenge at NeurIPS 2026
SFB-TRR 161 researchers co-organize a competition focused on the accuracy and robustness of methods for optical flow, scene flow, and stereo estimation.
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July
Benedikt Ehinger featured in new video series by the University of Stuttgart
SFB-TRR 161 project leader presents his "Science Vision".
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DIS 2026 Honorable Mention Award
Paper examines the ambivalent experience of eye contact for people with visual impairments.
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Visualization Research Meets Archaeology: Immersive Experience of UNESCO World Heritage Site
New visitor center of the Temple of Clitumnus in Umbria, Italy, features VR software co-developed by doctoral researcher Wilhelm Kerle-Malcharek.
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June
CVPR 2026 Outstanding Area Chair Award for Andrés Bruhn
Project leader once again awarded for his efforts in overseeing and coordinating the reviewing process at one of the top conferences in the field of computer vision.
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May
Eurographics Gold Medal for Oliver Deussen
Project leader of A01 gets honored for his longstanding contribution to the research field of visual computing.
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March
Augmented Humans Best Paper Honorable Mention Award
Researchers from projects A08 and C06 win award at conference on physical, cognitive, and perceptual augmentation of humans through digital technologies.
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January
Open Position: HCI Researcher at the University of Konstanz
Opportunity to research future interaction paradigms for Mixed Reality in Visual Computing.
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DFG Grant for Mohsen Jenadeleh
New project focuses on methods that detect subtle quality differences in highly compressed images.
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