Martin Kišš

Publications

• 2024

  KIŠŠ Martin and HRADIŠ Michal. Self-supervised Pre-training of Text Recognizers. In: Barney Smith, E.H., Liwicki, M., Peng, L. (eds) Document Analysis and Recognition - ICDAR 2024. Lecture Notes in Computer Science, vol. 14807. Atény: Springer Nature Switzerland AG, 2024, pp. 218-235. ISBN 978-3-031-70545-8.
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• 2023

  KIŠŠ Martin, HRADIŠ Michal, BENEŠ Karel, BUCHAL Petr and KULA Michal. SoftCTC-semi-supervised learning for text recognition using soft pseudo-labels. International Journal on Document Analysis and Recognition (IJDAR), vol. 2024, no. 27, 2023, pp. 177-193. ISSN 1433-2825.
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  KOHÚT Jan, HRADIŠ Michal and KIŠŠ Martin. Towards Writing Style Adaptation in Handwriting Recognition. In: Document Analysis and Recognition - ICDAR 2023. Lecture Notes in Computer Science, vol. 14190. San José: Springer Nature Switzerland AG, 2023, pp. 377-394. ISBN 978-3-031-41684-2. ISSN 0302-9743.
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• 2022

  KIŠŠ Martin, KOHÚT Jan, BENEŠ Karel and HRADIŠ Michal. Importance of Textlines in Historical Document Classification. In: Uchida, S., Barney, E., Eglin, V. (eds) Document Analysis Systems. Lecture Notes in Computer Science, vol. 13237. La Rochelle: Springer Nature Switzerland AG, 2022, pp. 158-170. ISBN 978-3-031-06554-5.
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  DVOŘÁKOVÁ Martina, HRADIŠ Michal, ŽABIČKA Petr, KOHÚT Jan, KIŠŠ Martin and BENEŠ Karel. Využití PERO OCR při přepisu rukopisů. Archivní časopis, vol. 72, no. 1, 2022, pp. 14-27. ISSN 0004-0398.
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• 2021

  KIŠŠ Martin, BENEŠ Karel and HRADIŠ Michal. AT-ST: Self-Training Adaptation Strategy for OCR in Domains with Limited Transcriptions. In: Lladós J., Lopresti D., Uchida S. (eds) Document Analysis and Recognition - ICDAR 2021. Lecture Notes in Computer Science, vol. 12824. Lausanne: Springer Nature Switzerland AG, 2021, pp. 463-477. ISBN 978-3-030-86336-4.
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• 2020

  KIŠŠ Martin, HRADIŠ Michal and KODYM Oldřich. Brno Mobile OCR Dataset. In: Proceedings of the International Conference on Document Analysis and Recognition, ICDAR. Sydney: Institute of Electrical and Electronics Engineers, 2020, pp. 1352-1357. ISBN 978-1-7281-3015-6.
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