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: Pavel PecinaOmniOMR: OMR of digitized library musical documents for the purpose of document content searching.
Principal investigator: Jan Hajič jr.DocMarker: React web-app annotation tool for an information retrieval project.
Mashcima: A handwritten music image synthesizer. See the ICDAR 2021 poster:
Curriculum Vitae
Selected Bibliography
- Google Scholar
- ORCID: 0000-0001-6503-3442
- Scopus ID: 57266489800
- Researcher ID: GXM-8667-2022
Publications
- Jiří Mayer, Milan Straka, Jan Hajič jr., and Pavel Pecina. Practical End-to-End Optical Music Recognition for Pianoform Music. ICDAR 2024. Currently being reviewed. (github)
- Jonáš Havelka, Jiří Mayer, and Pavel Pecina. Obstacles with Synthesizing Training Data for OMR. 4th International Workshop on Reading Music Systems, WoRMS 2022. Online, November 18, pp. 15-19, 2022. (url)
- Jiří Mayer, and Pavel Pecina. Symbol Generation via Autoencoders for Handwritten Music Synthesis. 5th International Workshop on Reading Music Systems, WoRMS 2023. Milan, Italy, November 4, pp. 20-24, 2023. (url)
- 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