2024W

• Computer Vision / 183.585 / VU
• Seminar in Computer Vision and Pattern Recognition / 183.588 / SE

• Applicability of Synthetic Data for the Training of Handwritten Text Detection / Kleber, F., Peer, M., & Sablatnig, R. (2024, February 16). Applicability of Synthetic Data for the Training of Handwritten Text Detection [Conference Presentation]. COMPUTER VISION WINTER WORKSHOP 2024, Austria.
• SAGHOG: Self-supervised Autoencoder for Generating HOG Features for Writer Retrieval / Peer, M., Kleber, F., & Sablatnig, R. (2024). SAGHOG: Self-supervised Autoencoder for Generating HOG Features for Writer Retrieval. In Document Analysis and Recognition - ICDAR 2024 (pp. 121–138). https://doi.org/10.1007/978-3-031-70536-6_8
• Maximizing Data Efficiency of HTR Models by Synthetic Text / Muth, M., Peer, M., Kleber, F., & Sablatnig, R. (2024). Maximizing Data Efficiency of HTR Models by Synthetic Text. In Document Analysis Systems (pp. 295–311). Springer, Cham. https://doi.org/10.1007/978-3-031-70442-0_18
• Advances in Machine Learning for the Automated Analysis of Manuscripts / Kleber, F., Peer, M., & Sablatnig, R. (2023, November 3). Advances in Machine Learning for the Automated Analysis of Manuscripts [Conference Presentation]. Written Heritage: New Challenges and Perspectives, Austria.
• Looking for Chos grub: Proposing An AI-Assisted Method for Recognizing Scribal Hands of Dunhuang Tibetan Manuscripts / Channa, L., Peer, M., & Kaifeng, Y. (2023). Looking for Chos grub: Proposing An AI-Assisted Method for Recognizing Scribal Hands of Dunhuang Tibetan Manuscripts [Keynote Presentation]. Advanced Computational Methods for Studying Buddhist Texts, Wien, Austria. http://hdl.handle.net/20.500.12708/190214
• Feature Mixing for Writer Retrieval and Identification on Papyri Fragments / Peer, M., & Sablatnig, R. (2023). Feature Mixing for Writer Retrieval and Identification on Papyri Fragments. In HIP ’23 : Proceedings of the 7th International Workshop on Historical Document Imaging and Processing (pp. 31–36). https://doi.org/10.1145/3604951.3605515
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• Towards Writer Retrieval for Historical Datasets / Peer, M., Kleber, F., & Sablatnig, R. (2023). Towards Writer Retrieval for Historical Datasets. In Document Analysis and Recognition - ICDAR 2023 (pp. 411–427). https://doi.org/10.1007/978-3-031-41676-7_24
• WRITE - IT unterstützte Suche und Vergleich von Handschriften / Peer, M. (2022, October 25). WRITE - IT unterstützte Suche und Vergleich von Handschriften [Presentation]. 12. KIRAS Fachtagung, Wien, Austria.
  Project: WRITE (2020–2023)
• Writer Retrieval using Compact Convolutional Transformers and NetMVLAD / Peer, M., Kleber, F., & Sablatnig, R. (2022). Writer Retrieval using Compact Convolutional Transformers and NetMVLAD. In 2022 26th International Conference on Pattern Recognition (ICPR) (pp. 1571–1578). https://doi.org/10.1109/ICPR56361.2022.9956155
  Project: WRITE (2020–2023)
• Self-supervised Vision Transformers with Data Augmentation Strategies Using Morphological Operations for Writer Retrieval / Peer, M., Kleber, F., & Sablatnig, R. (2022). Self-supervised Vision Transformers with Data Augmentation Strategies Using Morphological Operations for Writer Retrieval. In Frontiers in Handwriting Recognition: 18th International Conference, ICFHR 2022, Hyderabad, India, December 4–7, 2022, Proceedings (pp. 122–136). https://doi.org/10.1007/978-3-031-21648-0_9
  Project: WRITE (2020–2023)