Publikace

• 2023

  KOHÚT, J.; HRADIŠ, M. Finetuning Is a Surprisingly Effective Domain Adaptation Baseline in Handwriting Recognition. In Document Analysis and Recognition - ICDAR 2023. Lecture Notes in Computer Science. Lecture Notes in Computer Science. San José: Springer Nature Switzerland AG, 2023. s. 269-286. ISBN: 978-3-031-41684-2. ISSN: 0302-9743.
  Detail | WWW

  KOHÚT, J.; HRADIŠ, M.; KIŠŠ, M. Towards Writing Style Adaptation in Handwriting Recognition. In Document Analysis and Recognition - ICDAR 2023. Lecture Notes in Computer Science. Lecture Notes in Computer Science. San José: Springer Nature Switzerland AG, 2023. s. 377-394. ISBN: 978-3-031-41684-2. ISSN: 0302-9743.
  Detail | WWW

• 2022

  DVOŘÁKOVÁ, M.; HRADIŠ, M.; ŽABIČKA, P.; KOHÚT, J.; KIŠŠ, M.; BENEŠ, K. Využití PERO OCR při přepisu rukopisů. Archivní časopis, 2022, roč. 72, č. 1, s. 14-27. ISSN: 0004-0398.
  Detail | WWW

  JAGOŠ, J.; KOHÚT, J.; KOHÚT, J.; FORMÁNEK, M.; BURŠA, J. ROLLER PUMP CONTROLLED BY NEURAL NETWORK: EXPERIMENTAL STUDY UNDER PHYSIOLOGICAL CONDITIONS. CMBE22 7th International Conference on Computational & Mathematical Biomedical Engineering. 7th International Conference on Computational and Mathematical Biomedical Engineering – CMBE2021. Cardiff, United Kingdom: Computational and scientific consultancy services Ltd, 2022. s. 389-392. ISBN: 978-0-9562914-6-2. ISSN: 2227-9385.
  Detail | WWW

  KIŠŠ, M.; KOHÚT, J.; BENEŠ, K.; HRADIŠ, M. Importance of Textlines in Historical Document Classification. In Uchida, S., Barney, E., Eglin, V. (eds) Document Analysis Systems. Lecture Notes in Computer Science. La Rochelle: Springer Nature Switzerland AG, 2022. s. 158-170. ISBN: 978-3-031-06554-5.
  Detail | WWW

• 2021

  KOHÚT, J.; HRADIŠ, M. TS-Net: OCR Trained to Switch Between Text Transcription Styles. In Lladós J., Lopresti D., Uchida S. (eds) Document Analysis and Recognition - ICDAR 2021. Lecture Notes in Computer Science. Lecture Notes in Computer Science. Lausanne: Springer Nature Switzerland AG, 2021. s. 478-493. ISBN: 978-3-030-86336-4. ISSN: 0302-9743.
  Detail | WWW

*) Citace publikací se generují jednou za 24 hodin.