My name is Marco Peer and I was a university assistent from 2021 to 2025 in the Computer Vision Lab. My main research interests are in the field of document analysis and content-based image retrieval with deep learning. I also worked in the WRITE project, in which I developed writer retrieval methods to identify suspects for the Bundeskriminalamt.
I am currently employed as a postdoctoral researcher at HEIA-FR in Fribourg, Switzerland. You can reach out to me via my personal page.
Teaching
- Summer term
- Winter term
- Supervision of Bachelor and Master theses as well as student projects.
Publications
- M. Muth, M. Peer, F. Kleber and R. Sablatnig, “Advancing Handwritten Text Detection by Synthetic Text”, in Pattern Recognition – ICPR 2024, Kolkata, India, December 2024. (oral presentation)
- M. Peer, R. Sablatnig, O. Serbaeva and I. Marthot-Santaniello, “KaiRacters: Character-level-based Writer Retrieval for Greek Papyri”, in Pattern Recognition – ICPR 2024, Kolkata, India, December 2024. arXiv, Dataset
- M. Muth, M. Peer, F. Kleber and R. Sablatnig, “Maximizing Data Efficiency of HTR Models by Synthetic Text”, in International Workshop on Document Analysis Systems – DAS@ICDAR2024, Athens, Greece, August 2024.
- M. Peer, F. Kleber and R. Sablatnig, “SAGHOG: Self-Supervised Autoencoder for Generating HOG Features for Writer Retrieval”, in International Conference on Document Analysis and Recognition – ICDAR2024, Athens, Greece, September 2024. (oral presentation) arXiv, Code
- V. Pundy, M. Peer, F. Kleber, “Transparency Techniques for Neural Networks trained on Writer Identification and Writer Verification”, presented at Applied Vision@AIRoV – The First Austrian Symposium on AI, Robotics, and Vision, Innsbruck, Austria, February 2024.
- M. Peer and R. Sablatnig, “Feature Mixing for Writer Retrieval and Identification on Papyri Fragments”, in Proceedings of the 7th International Workshop on Historical Document Imaging and Processing, HIP@ICDAR 2023, San José, California, USA, August 2023. (oral presentation) arXiv , Code
- M. Peer, F. Kleber and R. Sablatnig, “Towards Writer Retrieval for Historical Datasets,” in Document Analysis and Recognition – ICDAR 2023 – 17th International Conference, San José, California, USA, August 2023. (oral presentation) arXiv , Code
- W. Lechner, M. Peer et al., “Generating deliverable DICOM RT treatment plans for prostate VMAT by predicting MLC motion sequences with an encoder-decoder network”, Med Phys. 2023; 1– 7. https://doi.org/10.1002/mp.16545
- M. Peer, F. Kleber and R. Sablatnig, “Self-supervised Vision Transformers with Data Augmentation Strategies Using Morphological Operations for Writer Retrieval,” in Frontiers in Handwriting Recognition, Hyderabad, India, December 2022 pp. 122–136. (oral presentation)
- M. Peer, F. Kleber and R. Sablatnig, “Writer Retrieval using Compact Convolutional Transformers and NetMVLAD,” in 2022 26th International Conference on Pattern Recognition (ICPR), Montreal, QC, Canada, August 2022 pp. 1571-1578.
- M. Peer, S. Thalhammer and M. Vincze, “Image Synthesis in SO(3) by Learning Equivariant Features Spaces,” in Proceedings of the Joint Austrian Computer Vision and Robotics Workshop 2020, 2020, p. 108–113.
Presentations
- C. Li, M. Peer and K. Yang, “Looking for Chos grub: Proposing An AI-Assisted Method for Recognizing Scribal Hands of Dunhuang Tibetan Manuscripts”, Advanced Computational Methods for
Studying Buddhist Texts. Vienna, Austria. April 27, 2023. - M. Peer, “WRITE – IT unterstützte Suche und Vergleich von Handschriften”, 12. KIRAS Fachtagung. Vienna, Austria. October 25, 2022.
Awards
- Best Paper Nomination at AIRoV 2024 for Transparency Techniques for Neural Networks trained on Writer Identification and Writer Verification.
- Best Poster Award: “Writer Retrieval for Historical Documents”. The 5th IAPR TC10/TC11 Summer School on Document Analysis. Fribourg, Switzerland. 2023.
- Excellence Award. The 5th IAPR TC10/TC11 Summer School on Document Analysis. Fribourg, Switzerland. 2023.
- Best Contribution Award: My diploma thesis was part of the study „Generating treatment plans from dose distributions on segmented CTs with Deep Learning: A feasibility study“ awarded by the Österreichische Gesellschaft für Medizinische Physik (ÖGMP).
Education
| 2025 | Dr. techn. TU Wien. Computer Science. Thesis title: Writer Retrieval for Historical Documents. Advisor: Robert Sablatnig, External Reviewers: Andreas Fischer, Apostolos Antonacopoulos |
| 2021 | Dipl.-Ing. TU Wien. Energy Systems and Control Engineering. Thesis title: Generating Treatment Plans for Prostate VMAT using Deep Learning. Advisor: Georg Dietmar |
| 2018 | BSc. TU Wien. Electrical Engineering. Thesis title: Modellierung eines Langstator Linearmotors. Advisor: Andreas Kugi |
| 2015 | Secondary School BG/BRG Waidhofen an der Thaya |