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 Pecina

OmniOMR: 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

My CV in English

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