Tag: Computer Vision

Odeuropa is the first major European research project dedicated to estimating the role of smell and olfactory practices in building cultural identity, collective memory, and enhancing the interpretation of both tangible and intangible heritage. The project’s ambition was to position smells and ...

We are pleased to share that Fei Wu of the Computer Vision group has won the "ICDAR 2024 Competition on Few and Many Shot Layout Segmentation of Ancient Manuscripts." In particular, he achieved remarkable results in both tracks ("Few-Shot Layout Segmentation" and "Many-Shot Layout Segmentation"), u...

Nora Gourmelon, a PhD student at the Pattern Recognition Lab, is featured on the List of Nominees for the AI Person of the Year Award, which is granted by t3n. The other nominees include Tina Klüwer, Head of Research for Technological Sovereignty and Innovation at the German Federal Ministry of Edu...

The Federal Agency for Nature Conservation (BfN) and the Federal Ministry for the Environment, Nature Conservation, Nuclear Safety and Consumer Protection (BMUV) are funding a research and development project at FAU with the aim of automatically evaluating image sequences from aerial photographs ta...

At the Digital Summit 2023, Nora Gourmelon, PhD candidate at the Pattern Recognition Lab, presented her award-winning research to the Federal Minister of Education and Research, Bettina Stark-Watzinger. About her research, Gourmelon says: "My research area is Green AI, where I am currently focus...

We are pleased that the VW foundation funds the project "Shorthand in historical documents. Development of a shorthand tool based on the decipherment of a Vergil commentary in Tironian Notes". The 1,5 years project focuses on transcribing and editing ancient to early medieval stenography using patt...

Nora Gourmelon's award-winning research has been featured in the June edition of the renowned Computer Vision newsletter RSIP Vision. Read the article here.

We are proud to announce the launch of the ICPR 2022 ODeuropa Competition on Olfactory Object Recognition (ODOR), the world's first competition for the detection on olfactory objects on historical artworks. Work with a data set of >24000 object annotations in 87 categories on ~3000 images and cr...