Research Group: Computer Vision

121 to 126 of 193

12JAN 2024
Competitions
ICDAR2024 Competition on Multi Font Group Recognition and OCR
This competition investigates the performance of Optical Character Recognition (OCR) systems for early-modern prints, with a main focus on font group diversity. Participants have to submit both OCR results, and font group recognition at character level. The data, which has been provided by multiple institutions, has been carefully transcribed and proof-checked by experts, and font […]
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22DEC 2023
News
Odeuropa project in several media features
The Odeuropa project (EU Horizon 2020) ends soon. With its fantastic outcome, it received a lot of media attention. Also members of the pattern recognition lab got interviewed, e.g., for the National Geographic lead article, for DLF “Riechen: Wie Computer Gerüche einordnen”, as well as in a longer peace by the OE1/ORF show “Wie riecht […]
Read more about Odeuropa project in several media features
22DEC 2023
News
Successful ICDAR: 6 accepted papers + best poster award
Mathias Seuret et al. received the IAPR Best Poster Award at this year’s International Conference on Document Analysis and Recognition (ICDAR, San José, August 23). In total, six of our papers got accepted at the main conference and workshops, making it a particular successful year. Looking forward to ICDAR’24!
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20DEC 2023
News
BnF & BMUV fund project for bird detection in aerial images
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 taken during regular monitoring flights in German coastal areas. These recordings are used […]
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18DEC 2023
News
ETI funding: “A multimodal approach for automatic generation of radiology reports using chest X-ray images, clinical free-text, and spoken commands”
The Pattern Recognition Lab is happy to announce that the Emerging Talents Initiative (ETI) from FAU, has granted funding to the research project entitled “A multimodal approach for automatic generation of radiology reports using chest X-ray images, clinical free-text, and spoken commands”. Project Overview The project, led by Tomás Arias-Vergara and mentored by Professor Andreas […]
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15DEC 2023
Ph.D. Gallery
Felix Meister
Deep Learning and Computational Modeling of Physiology Deep Learning (DL) and computational modeling (CM) could revolutionize the healthcare system by personalizing therapies to patients and enabling precision medicine (PM). While DL can automatically extract decision rules from large amounts of data, CM leverages known principles from physics and physiology to provide mechanistic insights into biophysical […]Deep Learning and Computational Modeling of Physiology Deep Learning (DL) and computational modeling (CM) could revolutionize the healthcare system by personalizing therapies to patients and enabling precision medicine (PM). While DL can automatically extract decision rules from large amounts of data, CM leverages known principles from physics and physiology to provide mechanistic insights into biophysical […]
Read more about Felix Meister