Ing.

Jan Kohút

Ph.D. student

+420 54114 1337
ikohut@fit.vut.cz
Q201 DCGM Office
165387/BUT personal ID

Publications

  • 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. p. 269-286. ISBN: 978-3-031-41684-2. ISSN: 0302-9743. Detail

    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. p. 377-394. ISBN: 978-3-031-41684-2. ISSN: 0302-9743. Detail

  • 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

    KIŠŠ, M.; KOHÚT, J.; BENEŠ, K.; HRADIŠ, M. Importance of Textlines in Historical Document Classification.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. p. 158-170. ISBN: 978-3-031-06554-5. Detail

  • 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. p. 478-493. ISBN: 978-3-030-86336-4. ISSN: 0302-9743. Detail

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