2 citations · 3 across the 7 of their papers we have counts for
7 papers
Full-Page Optical Music Recognition of Handwritten Monophonic Scores
Adrian Rosello, Antonio Ríos-Vila, David Rizo +1
Full-page end-to-end Optical Music Recognition seeks to transcribe entire music pages directly into symbolic notation, avoiding the limitations of traditional pipelines that rely o…
Direct content-based retrieval from music scores images
Noelia Luna-Barahona, Antonio Ríos-Vila, Félix Fuentes-Hurtado +2
The digitization of musical scores plays a crucial role in their preservation and accessibility, yet information retrieval still depends mainly on metadata searches, such as by tit…
Aligned Music Notation and Lyrics Transcription
Eliseo Fuentes-Martínez, Antonio Ríos-Vila, Juan C. Martinez-Sevilla +2
The digitization of vocal music scores presents unique challenges that go beyond traditional Optical Music Recognition (OMR) and Optical Character Recognition (OCR), as it necessit…
End-to-End Full-Page Optical Music Recognition for Pianoform Sheet Music
Antonio Ríos-Vila, Jorge Calvo-Zaragoza, David Rizo +1
Optical Music Recognition (OMR) has made significant progress since its inception, with various approaches now capable of accurately transcribing music scores into digital formats.…
Sheet Music Transformer: End-To-End Optical Music Recognition Beyond Monophonic Transcription
Antonio Ríos-Vila, Jorge Calvo-Zaragoza, Thierry Paquet
State-of-the-art end-to-end Optical Music Recognition (OMR) has, to date, primarily been carried out using monophonic transcription techniques to handle complex score layouts, such…
Image Transformation Sequence Retrieval with General Reinforcement Learning
Enrique Mas-Candela, Antonio Ríos-Vila, Jorge Calvo-Zaragoza
In this work, the novel Image Transformation Sequence Retrieval (ITSR) task is presented, in which a model must retrieve the sequence of transformations between two given images th…
Region-based Layout Analysis of Music Score Images
Francisco J. Castellanos, Carlos Garrido-Munoz, Antonio Ríos-Vila +1
The Layout Analysis (LA) stage is of vital importance to the correct performance of an Optical Music Recognition (OMR) system. It identifies the regions of interest, such as staves…