Martin Mayr

Martin Mayr, M. Sc.

Central Scientific Institutions
Erlangen National High Performance Computing Center

Room 1.036
Martensstraße 1
91058 Erlangen

Fax number: +49 9131 302941
Email: martin.mayr@fau.de
Website: https://hpc.fau.de/about-us/people/

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

2025

Journal Articles

Mayr M., Neumeier K., Krenz J., Bürcky S., Kordon F., Seuret M., Zöllner J., Wu F., Maier A., Christlein V.:
Data-efficient handwritten text recognition of diplomatic historical text
In: Multimedia Tools and Applications (2025)
ISSN: 1573-7721
DOI: 10.1007/s11042-024-20545-9

2024

Journal Articles

Mattick A., Mayr M., Seuret M., Kordon F., Wu F., Christlein V.:
Evaluating learned feature aggregators for writer retrieval
In: International Journal on Document Analysis and Recognition 27 (2024), p. 265-274
ISSN: 1433-2833
DOI: 10.1007/s10032-024-00482-x
URL: https://link.springer.com/article/10.1007/s10032-024-00482-x

Edited Volumes

Bub A., Krenz J., Mayr M., Neumeier K. (ed.):
Die Nürnberger Briefbücher II. 1408/1409
Nürnberg: 2024
(Quellen und Forschungen zur Geschichte und Kultur der Stadt Nürnberg, Vol. 45)
ISBN: 978-3-925002-45-8
Bürcky S., Krenz J., Mayr M., Neumeier K. (ed.):
Die Nürnberger Briefbücher III. 1409-1412
Nürnberg: 2024
(Quellen und Forschungen zur Geschichte und Kultur der Stadt Nürnberg, Vol. 46)
ISBN: 978-3-925002-46-5

Conference Contributions

Kordon F., Weichselbaumer N., Herz R., van der Loop J., Mossman S., Potten E., Seuret M., Mayr M., Wu F., Christlein V.:
fang: Fast Annotation of Glyphs in Historical Printed Documents
16th IAPR International Workshop on Document Analysis Systems, DAS 2024 (Athens, 2024-08-30 - 2024-08-31)
In: Giorgos Sfikas, George Retsinas (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2024
DOI: 10.1007/978-3-031-70442-0_23
URL: https://link.springer.com/chapter/10.1007/978-3-031-70442-0_23
van der Loop J., Kordon F., Mayr M., Christlein V., Wu F., Rodriguez Salas D., Weichselbaumer N., Seuret M.:
ICDAR 2024 Competition on Multi Font Group Recognition and OCR
18th International Conference on Document Analysis and Recognition, ICDAR 2024 (Athens, GRC, 2024-08-30 - 2024-09-04)
In: Elisa H. Barney Smith, Marcus Liwicki, Liangrui Peng (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2024
DOI: 10.1007/978-3-031-70552-6_23
URL: https://link.springer.com/chapter/10.1007/978-3-031-70552-6_23

Miscellaneous

Habermann M., Mayr M., Krenz J., Neumeier K., Bub A., Bürcky S., Brolich N., Herbers K., Fleischmann P., Maier A., Christlein V.:
Nuremberg Letterbooks: A Multi-Transcriptional Dataset of Early 15th Century Manuscripts for Document Analysis
(2024)
DOI: 10.48550/arXiv.2411.07138
(online publication)

2023

Journal Articles

Kordon F., Weichselbaumer N., Herz R., Mossman S., Potten E., Seuret M., Mayr M., Christlein V.:
Classification of incunable glyphs and out-of-distribution detection with joint energy-based models
In: International Journal on Document Analysis and Recognition (2023)
ISSN: 1433-2833
DOI: 10.1007/s10032-023-00442-x

Conference Contributions

Zenk J., Kordon F., Mayr M., Seuret M., Christlein V.:
Investigations on Self-supervised Learning for Script-, Font-type, and Location Classification on Historical Documents
7th International Workshop on Historical Document Imaging and Processing, HIP 2023, held in conjunction with ICDAR 2023 (San Jose, CA, 2023-08-25 - 2023-08-26)
In: ACM International Conference Proceeding Series 2023
DOI: 10.1145/3604951.3605519
Seuret M., van der Loop J., Weichselbaumer N., Mayr M., Molnar J., Hass T., Christlein V.:
Combining OCR Models for Reading Early Modern Books
17th International Conference on Document Analysis and Recognition, ICDAR 2023 (San José, CA, 2023-08-21 - 2023-08-26)
In: Gernot A. Fink, Rajiv Jain, Koichi Kise, Richard Zanibbi (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Cham: 2023
DOI: 10.1007/978-3-031-41734-4_21
Schuster B., Kordon F., Mayr M., Seuret M., Jost S., Kessler J., Christlein V.:
Multi-stage Fine-Tuning Deep Learning Models Improves Automatic Assessment of the Rey-Osterrieth Complex Figure Test
Document Analysis and Recognition - ICDAR 2023 (San José, CA)
In: Fink, G.A., Jain, R., Kise, K., Zanibbi, R. (ed.): Document Analysis and Recognition - ICDAR 2023, Cham: 2023
DOI: 10.1007/978-3-031-41676-7_1
Carriere G., Nikolaidou K., Kordon F., Mayr M., Seuret M., Christlein V.:
Beyond Human Forgeries: An Investigation into Detecting Diffusion-Generated Handwriting
ICDAR 2023: Document Analysis and Recognition (San José, CA, 2023-08-24 - 2023-08-26)
In: Mickael Coustaty, Alicia Fornés (ed.): Document Analysis and Recognition – ICDAR 2023 Workshops, Cham: 2023
DOI: 10.1007/978-3-031-41498-5_1

2022

Journal Articles

Dutta B., Root K., Ullmann I., Wagner F., Mayr M., Seuret M., Thies M., Stromer D., Christlein V., Schür J., Maier A., Huang Y.:
Deep learning for terahertz image denoising in nondestructive historical document analysis
In: Scientific Reports 12 (2022), p. 1-11
ISSN: 2045-2322
DOI: 10.1038/s41598-022-26957-7
URL: https://www.nature.com/articles/s41598-022-26957-7

Conference Contributions

Christlein V., Marthot-Santaniello I., Mayr M., Nicolaou A., Seuret M.:
Writer Retrieval and Writer Identification in Greek Papyri
International Graphonomics Conference (Las Palmas de Gran Canaria, 2022-06-07 - 2022-06-09)
In: Springer (ed.): Intertwining Graphonomics with Human Movements 2022
DOI: 10.1007/978-3-031-19745-1_6
Sukesh R., Seuret M., Nicolaou A., Mayr M., Christlein V.:
A Fair Evaluation of Various Deep Learning-Based Document Image Binarization Approaches
15th IAPR International Workshop on Document Analysis Systems, DAS 2022 (La Rochelle, FRA, 2022-05-22 - 2022-05-25)
In: Seiichi Uchida, Elisa Barney, Véronique Eglin (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2022
DOI: 10.1007/978-3-031-06555-2_52
Mayr M., Felker A., Maier A., Christlein V.:
Combining Visual and Linguistic Models for a Robust Recipient Line Recognition in Historical Documents
15th IAPR International Workshop on Document Analysis Systems, DAS 2022 (La Rochelle, FRA, 2022-05-22 - 2022-05-25)
In: Seiichi Uchida, Elisa Barney, Véronique Eglin (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2022
DOI: 10.1007/978-3-031-06555-2_40
Mattick A., Mayr M., Maier A., Christlein V.:
Is Multitask Learning Always Better?
15th IAPR International Workshop on Document Analysis Systems, DAS 2022 (La Rochelle, 2022-05-22 - 2022-05-25)
In: Seiichi Uchida, Elisa Barney, Véronique Eglin (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2022
DOI: 10.1007/978-3-031-06555-2_45

2021

Conference Contributions

Seuret M., Nicolaou A., Rodríguez-Salas D., Weichselbaumer N., Stutzmann D., Mayr M., Maier A., Christlein V.:
ICDAR 2021 Competition on Historical Document Classification
16th International Conference on Document Analysis and Recognition, ICDAR 2021 (Lausanne, 2021-09-05 - 2021-09-10)
In: Josep Lladós, Daniel Lopresti, Seiichi Uchida (ed.): Document Analysis and Recognition – ICDAR 2021 2021
DOI: 10.1007/978-3-030-86337-1_41
Mattick A., Mayr M., Seuret M., Maier A., Christlein V.:
SmartPatch: Improving Handwritten Word Imitation with Patch Discriminators
16th International Conference on Document Analysis and Recognition, ICDAR 2021 (Lausanne, CHE, 2021-09-05 - 2021-09-10)
In: Josep Lladós, Daniel Lopresti, Seiichi Uchida (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2021
DOI: 10.1007/978-3-030-86549-8_18
URL: https://arxiv.org/abs/2105.10528

2020

Conference Contributions

Mayr M., Stumpf M., Nicolaou A., Seuret M., Maier A., Christlein V.:
Spatio-Temporal Handwriting Imitation
European Conference on Computer Vision (Online, 2020-08-23 - 2020-08-28)
DOI: 10.1007/978-3-030-68238-5_38
URL: https://link.springer.com/chapter/10.1007/978-3-030-68238-5_38

2019

Conference Contributions

Mayr M., Hoffmann M., Maier A., Christlein V.:
Weakly Supervised Segmentation of Cracks on Solar Cells using Normalized Lp Norm
2019 IEEE International Conference on Image Processing (Taipei, 2019-09-22 - 2019-09-25)
In: IEEE (ed.): 2019 IEEE International Conference on Image Processing (ICIP) 2019
DOI: 10.1109/ICIP.2019.8803116
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2019/Mayr19-WSS.pdf

Martin Mayr

Martin Mayr, M. Sc.

About

CV

Publications

2025

Journal Articles

2024

Journal Articles

Edited Volumes

Conference Contributions

Miscellaneous

2023

Journal Articles

Conference Contributions

2022

Journal Articles

Conference Contributions

2021

Conference Contributions

2020

Conference Contributions

2019

Conference Contributions