Category: Speech Processing and Understanding

4 total

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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18DEC 2025
News
Invited Talk – Prof. Liangrui Peng (Tsinghua University): Exploring Representation, Attention, and Memory Mechanisms for Text Recognition, Friday, December 19th, 2025, 9 AM CET
It’s a great pleasure to welcome Prof. Liangrui Peng as a speaker at our lab! Title: Exploring Representation, Attention, and Memory Mechanisms for Text RecognitionDate: Friday, December 19th, 2025, 9 AM CETLocation: https://fau.zoom-x.de/j/61781168039?pwd=PV8PLP5qScT6aGBphxevrPu3OXPucB.1 Abstract: Text recognition is crucial for many mobile-era applications, including scene text recognition, handwriting recognition and document recognition. The core challenge is […]It’s a great pleasure to welcome Prof. Liangrui Peng as a speaker at our lab! Title: Exploring Representation, Attention, and Memory Mechanisms for Text RecognitionDate: Friday, December 19th, 2025, 9 AM CETLocation: https://fau.zoom-x.de/j/61781168039?pwd=PV8PLP5qScT6aGBphxevrPu3OXPucB.1 Abstract: Text recognition is crucial for many mobile-era applications, including scene text recognition, handwriting recognition and document recognition. The core challenge is […]
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11DEC 2025
News
Schmidt Science Foundation awards two Computational Humanities Projects
Even experts sometimes reach their limits when deciphering historical documents, for example when ancient wooden tablets are charred, scrolls have weathered, or notes are written in a rare form of shorthand. In two new projects, Vincent Christlein and his team aim to develop AI-supported technologies that make such sources easier to access. The Schmidt Sciences […]
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28NOV 2025
News
Pattern Recognition Lab with Outstanding Success at BVM 2026
The Pattern Recognition Lab at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) reports exceptional success in this year’s submission round for “Bildverarbeitung für die Medizin (BVM) 2026”. Out of 19 submitted contributions, 18 have been accepted, corresponding to an impressive acceptance rate of 94.7 percent. The accepted works span the full breadth of the lab’s research activities in medical […]The Pattern Recognition Lab at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) reports exceptional success in this year’s submission round for “Bildverarbeitung für die Medizin (BVM) 2026”. Out of 19 submitted contributions, 18 have been accepted, corresponding to an impressive acceptance rate of 94.7 percent. The accepted works span the full breadth of the lab’s research activities in medical […]
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27NOV 2025
News
Pattern Recognition Lab joins eVoiceNet – European network on vocal biomarkers
The Pattern Recognition Lab and Profile Center Medical Engineering (FAU MT) are now part of the COST Action European Network to Advance the Development and Implementation of Vocal Biomarkers (eVoiceNet) (COST Action CA24128 – eVoiceNet). eVoiceNet brings together more than 80 partners from over 30 countries in Europe and beyond, creating a broad interdisciplinary platform […]
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24NOV 2025
News
UtilityTwin wins Social Innovation Award from the Federal Ministry
We are pleased to announce that the UtilityTwin project has been awarded the 2nd Prize in the nationwide Student Prize for Social Innovations (StiPS), organized by the Bundesministerium für Forschung, Technologie und Raumfahrt (BMFTR) in cooperation with VDI/VDE Innovation + Technik GmbH. Adithya Ramachandran and Dr. Siming Bayer developed the project within the Data Processing for […]
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