Research Group: Computer Vision

7 to 12 of 193

17MAR 2026
News
BVM Best Paper Prize 2026 (3rd Place) Awarded to Md Badhon Miah and Co-authors
The Pattern Recognition Lab is pleased to announce that Md Badhon Miah, together with Lukas Buess and Andreas Maier, has been awarded the BVM Best Paper Prize 2026 (3rd place) at the German Conference on Medical Image Computing (Bildverarbeitung für die Medizin, BVM), held from March 15–17, 2026 in Lübeck, Germany. The award recognizes the paper titled “Vision-Language Models […]
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17MAR 2026
News
Pattern Recognition Lab at FAU Launches Official GitHub Organization
The Pattern Recognition Lab (LME) at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) has launched its official GitHub organization: https://github.com/PRLab-FAU. With this new presence on GitHub, the lab is creating a central public space where research software, code related to scientific publications, and teaching materials developed at the lab can be shared openly with the wider community. The new organization […]The Pattern Recognition Lab (LME) at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) has launched its official GitHub organization: https://github.com/PRLab-FAU. With this new presence on GitHub, the lab is creating a central public space where research software, code related to scientific publications, and teaching materials developed at the lab can be shared openly with the wider community. The new organization […]
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11MAR 2026
News
Pattern Recognition Lab Contributes to IRIS 2026 LexisNexis Best Paper Award Top 10
The Pattern Recognition Lab at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) contributed to one of the papers recognized among the Top 10 submissions of the LexisNexis Best Paper Award at IRIS 2026, one of the leading conferences in the field of legal informatics. The award highlights outstanding scientific contributions presented at the International Legal Informatics Symposium (IRIS), which brings […]The Pattern Recognition Lab at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) contributed to one of the papers recognized among the Top 10 submissions of the LexisNexis Best Paper Award at IRIS 2026, one of the leading conferences in the field of legal informatics. The award highlights outstanding scientific contributions presented at the International Legal Informatics Symposium (IRIS), which brings […]
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06MAR 2026
News
New National Recommendation on Artificial Intelligence in Medicine: Contribution from FAU Pattern Recognition Lab
A new recommendation on the application of artificial intelligence in medicine has been published by the German Commission on Radiological Protection (Strahlenschutzkommission, SSK). The document provides guidance on the safe development, evaluation and clinical use of AI-based methods in medical imaging, including applications in image reconstruction, image processing and diagnostic support. The recommendation addresses both […]A new recommendation on the application of artificial intelligence in medicine has been published by the German Commission on Radiological Protection (Strahlenschutzkommission, SSK). The document provides guidance on the safe development, evaluation and clinical use of AI-based methods in medical imaging, including applications in image reconstruction, image processing and diagnostic support. The recommendation addresses both […]
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12FEB 2026
News
UtilityTwin Recognized at BMFTR StiPS Ceremony in Berlin
We were proud to have our researchers Adithya Ramachandran and Siming Bayer represent the Pattern Recognition Lab at the BMFTR’s StiPS ceremony in Berlin. The recognition of the UtilityTwin project underscores our lab’s focus: developing powerful AI and Digital Twin solutions that address critical infrastructure challenges. By bridging the gap between complex data modeling and […]
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04FEB 2026
Competitions
ICDAR 2026 Competition on Writer and Pen Identification from Hand-Drawn Circles
We’re hosting CircleID, the ICDAR 2026 competition on learning subtle details in hand-drawn circles from scanned images. The challenge features two tracks: Writer Identification and Pen Classification. CircleID includes an out-of-distribution twist for Writer Identification: The test set contains circles from writers not seen during training, so methods must learn to recognize unknown writers. To […]We’re hosting CircleID, the ICDAR 2026 competition on learning subtle details in hand-drawn circles from scanned images. The challenge features two tracks: Writer Identification and Pen Classification. CircleID includes an out-of-distribution twist for Writer Identification: The test set contains circles from writers not seen during training, so methods must learn to recognize unknown writers. To […]
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