Research Group: Computer Vision

169 to 174 of 194

08MAR 2023
News
Happy International Women’s Day!
At the Pattern Recognition Symposium, we celebrated the international women’s day with a chocolate fountain and small gifts for our female colleagues! How did you celebrate?
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28FEB 2023
News
Join our Pattern Recognition Symposium
We are thrilled to announce our upcoming Pattern Recognition Symposium, taking place from Monday, March 6th to Friday, March 10th. This is an exciting opportunity for researchers, practitioners, and students to come together and explore the latest advancements in the field of pattern recognition. Our symposium will be held online, with public presentations streamed via […]
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03FEB 2023
Competitions
ICDAR2023 Competition on Detection and Recognition of Greek Letters on Papyri
This competition investigates the performance of glyph detection and recognition on a very challenging type of historical document: Greek papyri. The detection and recognition of Greek letters on papyri is a preliminary step for computational analysis of handwriting that can lead to major steps forward in our understanding of this major source of information on […]
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02FEB 2023
News
Finalist for KI-Newcomer*innen Award 2023
Nora Gourmelon, a PhD student at the Pattern Recognition Lab, is one of three finalists for the 2023 AI Newcomer Award in the field of natural and life sciences.This award is granted by the German Association of Computer Science (Gesellschaft für Informatik) to young researchers under 30 years for innovative developments in the area of […]
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16JAN 2023
Ph.D. Gallery
Christoph Seeger
Obstacle Fusion and Scene Interpretation for Autonomous Driving with Occupancy Grids Autonomous driving is, besides electrification, currently one of the most competitiveareas in the automotive industry. A substantially challenging part of autonomousvehicles is the reliable perception of the driving environment. This dissertation isconcerned with improving the sensor-based perception and classification of the staticdriving environment. In […]Obstacle Fusion and Scene Interpretation for Autonomous Driving with Occupancy Grids Autonomous driving is, besides electrification, currently one of the most competitiveareas in the automotive industry. A substantially challenging part of autonomousvehicles is the reliable perception of the driving environment. This dissertation isconcerned with improving the sensor-based perception and classification of the staticdriving environment. In […]
Read more about Christoph Seeger
16JAN 2023
Ph.D. Gallery
<strong>Matthias Utzschneider </strong>
Acquisition- and Reconstruction-Techniques for Sodium Quantification in the Skeletal Muscle using Sodium Magnetic Resonance Imaging (23Na MRI) Measurement of the tissue sodium concentration (TSC) in human tissue offers important insights into pathological- and biological processes with applications in nephrology, neurology and myology. The TSC can be determined non-invasively by sodium magnetic resonance imaging (23Na MRI). […]Acquisition- and Reconstruction-Techniques for Sodium Quantification in the Skeletal Muscle using Sodium Magnetic Resonance Imaging (23Na MRI) Measurement of the tissue sodium concentration (TSC) in human tissue offers important insights into pathological- and biological processes with applications in nephrology, neurology and myology. The TSC can be determined non-invasively by sodium magnetic resonance imaging (23Na MRI). […]
Read more about <strong>Matthias Utzschneider </strong>