Logo of GCPR/VMV conference 2026 at University of Siegen, hosted by ZESS

From 22 to 25 September 2026, GCPR + VMV will take place at University of Siegen, hosted by ZESS. GCPR + VMV 2026 will feature joint invited talks (keynote presentations) and nectar track sessions, research presentations of papers that underwent strict peer review and will be published in CGPR and VMV proceedings, poster sessions, as well as workshops and tutorials. We are looking forward to keynotes by Felix Heide (Princeton University), Elisa Ricci (University of Trento), and Niloy Mitra (University College London) as well as PI Talks by Dagmar Kainmüller (Max Delbrück Center), Justus Thies (Technische Universität Darmstadt), Anna Rohrbach (Technische Universität Darmstadt), and Björn Ommer (Ludwig Maximilians University of Munich).

Information & Registration

For more information and registration see conference website at https://www.gcpr-vmv.de/year/2026

About GCPR/VMV

GCPR + VMV 2026 is Germany’s leading forum for advances in computer vision, machine learning, computer graphics, modeling, and visualization research. The German Conference on Pattern Recognition (GCPR) is the annual symposium of the German Association for Pattern Recognition (DAGM). It is the national venue for recent advances in image processing, pattern recognition, and computer vision and it follows the long tradition of the DAGM conference series, which has been renamed to GCPR in 2013 to reflect its increasing internationalisation. In 2026 in Siegen, the conference series will celebrate its 48th anniversary. The Symposium on Vision, Modeling, and Visualisation (VMV) will take place for the 31st time in 2026. It is the annual symposium of the German research community in computer graphics and visualisation, and it serves the annual gathering of the members of the “Fachbereich Graphische Datenverarbeitung” of the German “Gesellschaft für Informatik”. 

Jan Söhlke
Jan Söhlke

Dr. Jan Söhlke is the head of communication and staff photographer at ZESS, as well as the Scientific Coordinator for the DFG Research Unit 'Learning to Sense' (FOR 5336).

Following his doctoral studies at LMU Munich, he moved into science communication and the visual documentation of research environments. His work focuses on photographing complex scientific setups and high-tech infrastructure - translating engineering and academic projects into clear visual assets. In addition, he works as a freelance photographer for industrial and research-driven organizations. You can find his portfolio at https://jansoehlke.com/.

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