Jiří Mayer
Main Research Interests
- Optical Music Recognition
- To learn more read Understanding OMR by Calvo-Zaragoza, Hajič jr., and Pacha
- Training Data Synthesis
- Computer Vision
Projects
PhD Thesis: Optical Music Recognition
Supervisor: doc. RNDr. Pavel Pecina, Ph.D.Mashcima: A handwritten music image synthesizer.
Curriculum Vitae
Selected Bibliography
- Google Scholar
- ORCID: 0000-0001-6503-3442
- Scopus ID: 57266489800
- Researcher ID: GXM-8667-2022
Papers
- Jiří Mayer and Pavel Pecina. Synthesizing Training Data for Handwritten Music Recognition. 16th International Conference on Document Analysis and Recognition, ICDAR 2021. Lausanne, September 8-10, pp. 626-641, 2021. (url)
Theses
- Master Thesis: Semi-supervised learning in Optical Music Recognition
- Bachelor Thesis: Optical Music Recognition using Deep Neural Networks
- ORCID: 0000-0001-6503-3442
- Google Scholar: SaMNZAEAAAAJ
- Web of Science: GXM-8667-2022
- Scopus: 57266489800