Martin Mayr, M. Sc.

Central Scientific Institutions
Erlangen National High Performance Computing Center

Room: Room 1.036
Martensstraße 1
91058 Erlangen


From August 2019 and October 2024, Martin was a doctoral researcher in the Computer Vision group at the Pattern Recognition Lab (PRL) of Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). During this time, he developed innovative approaches for image segmentation, retrieval, generation, text recognition, and metadata extraction, contributing to multiple research projects. His work also included advanced retrieval models for document analysis and pioneering methods for text generation, imitation (Best Student Paper Award at ICDAR 2021), and recognition (Best Poster Award at ICDAR 2023). For a complete overview of his research, find the publications listed below.

In January 2025, Martin moved to NHR Erlangen, where he specializes in AI-focused high-performance computing solutions, providing training, custom workflows, and user support to researchers across diverse scientific disciplines.

  • 01/2025 – current:
    Training & User Support AI at NHR Erlangen
  • 08/2019 – 10/2024:
    Ph.D. Student at the Pattern Recognition Lab
  • 10/2016 – 07/2019:
    M.Sc. in Computer Science:
    Friedrich-Alexander University Erlangen-Nürnberg
  • 03/2012 – 07/2016:
    B.Sc. in Business Information Technology:
    Regensburg University of Applied Sciences

2026

Conference Contributions

  • , , , , :
    Patch-Level Brain Tumor Sub-region Classification Using Foundation Models Under Long-Tailed Data Distributions
    Brain TumorS Lighthouse Cluster of Challenges, and the Automated Identification of Moderate-Severe Traumatic Brain Injury Lesions Challenge, BraTS 2025 and AIMS-TBI 2025, held in Conjunction International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2025 (Daejeon, KOR, 2025-09-23 - 2025-09-27)
    In: Lecture Notes in Computer Science
    DOI: 10.1007/978-3-032-16370-7_19

2025

Journal Articles

Conference Contributions

2024

Journal Articles

Edited Volumes

  • , , , :
    Die Nürnberger Briefbücher II. 1408/1409
    Nürnberg: Selbstverlag des Stadtarchivs Nürnberg,
    (Quellen und Forschungen zur Geschichte und Kultur der Stadt Nürnberg, Vol.45)
    ISBN: 978-3-925002-45-8
  • , , , :
    Die Nürnberger Briefbücher III. 1409-1412
    Nürnberg: Selbstverlag des Stadtarchivs Nürnberg,
    (Quellen und Forschungen zur Geschichte und Kultur der Stadt Nürnberg, Vol.46)
    ISBN: 978-3-925002-46-5

Conference Contributions

2023

Journal Articles

Conference Contributions

2022

Journal Articles

Conference Contributions

2021

Conference Contributions

2020

Conference Contributions

2019

Conference Contributions