Research Group: Computer Vision

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07JAN 2025
News
DFG Funds Cutting-Edge CT Imaging Project at Pattern Recognition Lab
Erlangen, January 2025 – The Pattern Recognition Lab at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) is excited to announce that the Deutsche Forschungsgemeinschaft (DFG) has granted funding for the groundbreaking project riskXSM – Advanced Dose Reduction and Spectrum Modulation in Computed Tomography (CT). The collaborative initiative has secured a total funding sum of 600,000 EUR and brings together leading experts from three […]Erlangen, January 2025 – The Pattern Recognition Lab at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) is excited to announce that the Deutsche Forschungsgemeinschaft (DFG) has granted funding for the groundbreaking project riskXSM – Advanced Dose Reduction and Spectrum Modulation in Computed Tomography (CT). The collaborative initiative has secured a total funding sum of 600,000 EUR and brings together leading experts from three […]
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07JAN 2025
News
New PhD Student: Melika Qahqaie
Melika Qahqaie received her Master’s degree in Medical Engineering from FAU Erlangen-Nürnberg. In December 2024, she joined the Pattern Recognition Lab as a Ph.D. candidate under the supervision of Prof. Dr.-Ing. habil. Andreas Maier. Her research, conducted in collaboration with Siemens Healthineers in Erlangen, focuses on the automated longitudinal assessment of tumor burden.
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06JAN 2025
News
Invited Talk: Prof. Dr. Xiaolin Huang (Shanghai Jiao Tong University) – Machine Learning and Machine Unlearning in the View of Generalization, Jan 10th 2025, 10 AM CET
It’s a great pleasure to welcome Prof. Dr. Xiaolin Huang back at the Pattern Recognition Lab! Title: Machine Learning and Machine Unlearning in the View of GeneralizationDate: Jan 10th 2025, 10 AM CETLocation: https://fau.zoom-x.de/j/64518890066?pwd=XgXgVw4XGCtbUKk6jAk0AXBzBQcAg5.1 AbstractGeneralization is a critical challenge in machine learning, particularly for deep learning models, which often achieve high training accuracy but exhibit […]It’s a great pleasure to welcome Prof. Dr. Xiaolin Huang back at the Pattern Recognition Lab! Title: Machine Learning and Machine Unlearning in the View of GeneralizationDate: Jan 10th 2025, 10 AM CETLocation: https://fau.zoom-x.de/j/64518890066?pwd=XgXgVw4XGCtbUKk6jAk0AXBzBQcAg5.1 AbstractGeneralization is a critical challenge in machine learning, particularly for deep learning models, which often achieve high training accuracy but exhibit […]
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19DEC 2024
Competitions
ICDAR 2025 Competition on Glyph Detection in 15th-Century European Printed Documents
This competition is focused on the detection of glyphs in early European printed documents from the 15th century. The primary aim is to build an extensive corpus of glyphs by accurately extracting a large number of characters, with an emphasis on high precision rather than complete coverage. We will provide dataset that contains multiple historical […]
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16DEC 2024
News
Pattern Recognition Lab Secures Funding for VHB Online Course on Speech and Voice Processing
Erlangen, December 16, 2024 – The Pattern Recognition Lab at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), in collaboration with Ostbayerische Technische Hochschule Amberg-Weiden (OTH-AW) and Technische Hochschule Nürnberg Georg Simon Ohm (TH-Nürnberg), has been awarded funding by Virtuelle Hochschule Bayern (VHB) to develop a new CLASSIC vhb online course. The course, titled “Fundamentals of Speech and Voice Processing”, will provide […]Erlangen, December 16, 2024 – The Pattern Recognition Lab at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), in collaboration with Ostbayerische Technische Hochschule Amberg-Weiden (OTH-AW) and Technische Hochschule Nürnberg Georg Simon Ohm (TH-Nürnberg), has been awarded funding by Virtuelle Hochschule Bayern (VHB) to develop a new CLASSIC vhb online course. The course, titled “Fundamentals of Speech and Voice Processing”, will provide […]
Read more about Pattern Recognition Lab Secures Funding for VHB Online Course on Speech and Voice Processing
16DEC 2024
News
ETI funding: “Speech-Driven Generative AI for Personalized Cine-MRI Sequence Generation in Clinical Speech Therapy”
The Pattern Recognition Lab is happy to announce that the Emerging Talents Initiative (ETI) from FAU, has granted funding to Paula A. Perez-Toro for the research project entitled “Speech-Driven Generative AI for Personalized Cine-MRI Sequence Generation in Clinical Speech Therapy”. Project Overview The project, led by Paula A. Perez-Toro and mentored by Professor Andreas Maier, […]
Read more about ETI funding: “Speech-Driven Generative AI for Personalized Cine-MRI Sequence Generation in Clinical Speech Therapy”