Marco Peer




+43 1 58801 - 193179


HE 0424

Office hours

By appointment



My name is Marco Peer and I joined the CVL as a university assistent in 2021. My main research interests are in the field of document analysis and content-based image retrieval with deep learning. My PhD is focused on writer retrieval for historical documents.

I also worked in the WRITE project, in which I developed writer retrieval methods to identify suspects for the Bundeskriminalamt.



  • M. Peer, R. Sablatnig, O. Serbaeva and I. Marthot-Santaniello, “KaiRacters: Character-level-based Writer Retrieval for Greek Papyri”, submitted to ICPR2024. Dataset
  • M. Peer, F. Kleber and R. Sablatnig, “SAGHOG: Self-Supervised Autoencoder for Generating HOG Features for Writer Retrieval”, accepted to ICDAR2024. Code
  • 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for Writer Retrieval and Identification on Papyri Fragments”, in Proceedings of the 7th International Workshop on Historical Document Imaging and Processing, HIP@ICDAR 2023, San José, California, USA, August 25-26, 2023.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 21-26, 2023. (oral presentation) arXiv , Code
  • 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, 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, 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.
  • G. Heilemann, L. Zimmermann, R. Schotola, 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; 17.


  • 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.



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