2022:

  • Kišš, M., Kohút, J., Beneš, K., and Hradiš, M. Importance of Textlines in Historical Document Classification. In: Uchida, S., Barney, E., Eglin, V. (eds) Document Analysis Systems. DAS 2022. Lecture Notes in Computer Science, vol 13237. Springer, Cham..
    Additional links: arxiv, Springer, dataset

2021:

  • Kodym, O. and Hradiš, M. TG2: text-guided transformer GAN for restoring document readability and perceived quality. IJDAR (2021). https://doi.org/10.1007/s10032-021-00387-z
    Additional links: arxiv, Springer
  • Kodym, O. and Hradiš, M. Page Layout Analysis System for Unconstrained Historic Documents. In: Lladós J., Lopresti D., Uchida S. (eds) Document Analysis and Recognition – ICDAR 2021. ICDAR 2021. Lecture Notes in Computer Science, vol 12822. Springer, Cham.
    Additional links: arxiv, Springer
  • Kohút, J. and 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. ICDAR 2021. Lecture Notes in Computer Science, vol 12824. Springer, Cham.
    Additional links: arxiv, Springer
  • Kišš, M., Beneš, K., and Hradiš, M. AT-ST: Self-Training Adaptation Strategy for OCR. In: Lladós J., Lopresti D., Uchida S. (eds) Document Analysis and Recognition – ICDAR 2021. ICDAR 2021. Lecture Notes in Computer Science, vol 12824. Springer, Cham.
    Additional links: arxiv, Springer

2019:

  • Kišš, M., Hradiš, M. and Kodym, O. Brno Mobile OCR Dataset. In: 2019 International Conference on Document Analysis and Recognition (ICDAR). September 2019, p. 1352–1357. ISSN: 1520-5363.
    Additional links: arxiv, github, IEEEXplore, dataset