New paper accepted: Fabian C. Moss, Néstor Nápoles López, Maik Köster and David Rizo. Challenging sources: a new dataset for OMR of diverse 19th-century music theory examples”. In WoRMS 2022.
Antonio Rios-Vila has been awarded as the Best Project at the 4th edition of the Desafío Aporta of the Spanish Ministry of Economic Affairs and Digital Transformation with the project “HelpVoice!”. 2022-10-27
New paper accepted: Carlos Garrido-Munoz, Antonio Rios-Vila, Jorge Calvo-Zaragoza. “A holistic approach for image-to-graph: Application to Optical Music Recognition”. In: International Journal on Document Analysis and Recognition (IJDAR)
New paper accepted: Carlos de la Fuente, Francisco J. Castellanos, Jose J. Valero-Mas, Jorge Calvo-Zaragoza. “Multimodal Recognition of Frustration during Game-Play with Deep Neural Networks”. In: Multimedia Tools and Applications
New paper accepted: Francisco J. Castellanos, Antonio-Javier Gallego, Jorge Calvo-Zaragoza, Ichiro Fujinaga. “Domain Adaptation for Staff-Region Retrieval of Music Score Images”. In: International Journal on Document Analysis and Recognition (IJDAR)
New work presented at the IAML 2022 in Prague: David Rizo, Teresa Delgado, Jorge Calvo, Antonio Madueño, Patricia García-Iasci; “Speeding-up the encoding of mensural collections from Spanish libraries”
New paper accepted: Francisco J. Castellanos, Carlos Garrido-Munoz, Antonio Ríos-Vila, Jorge Calvo-Zaragoza. “Region-based Layout Analysis of Music Score Images”. In Expert Systems With Applications
New paper accepted: Antonio Rios-Vila, Jorge Calvo-Zaragoza, Jose M. Iñesta. “An End-to-End Approach for Full-Page Optical Music Recognition of Mensural Documents”. In: 23rd International Society for Music Information Retrieval Conference (ISMIR 2022)
New paper accepted: Antonio Ríos-Vila, María Alfaro-Contreras, Jose J. Valero-Mas, and Jorge Calvo-Zaragoza. “Few-Shot Music Symbol Classification via Self-Supervised Learning and Nearest Neighbor”. In 3rd International Workshop on Pattern Recognition for Cultural Heritage
New paper accepted: Samer Alashhab, Antonio Javier Gallego, and Miguel Ángel Lozano, “Efficient Gesture Recognition for the Assistance of Visually Impaired People using Multi-Head Neural Networks”. In Engineering Applications of Artificial Intelligence