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Author
Title
Year
Publication
Volume
Pages
Links
Jose Antonio Rodriguez; Gemma Sanchez; Josep Llados
Categorization of Digital Ink Elements using Spectral Features
2007
Seventh IAPR International Workshop on Graphics Recognition
63–64
Jose Antonio Rodriguez; Gemma Sanchez; Josep Llados
Categorization of Digital Ink Elements using Spectral Features
2008
Graphics Recognition: Recent Advances and New Opportunities
5046
188–198
Lei Kang; Pau Riba; Mauricio Villegas; Alicia Fornes; Marçal Rusiñol
Candidate Fusion: Integrating Language Modelling into a Sequence-to-Sequence Handwritten Word Recognition Architecture
2021
Pattern Recognition
112
107790
Adarsh Tiwari; Sanket Biswas; Josep Llados
Can Pre-trained Language Models Help in Understanding Handwritten Symbols?
2023
17th International Conference on Document Analysis and Recognition
14193
199–211
Mohammed Al Rawi; Ernest Valveny; Dimosthenis Karatzas
Can One Deep Learning Model Learn Script-Independent Multilingual Word-Spotting?
2019
15th International Conference on Document Analysis and Recognition
260-267
Adria Rico; Alicia Fornes
Camera-based Optical Music Recognition using a Convolutional Neural Network
2017
12th IAPR International Workshop on Graphics Recognition
27-28
Marçal Rusiñol; Josep Llados; Philippe Dosch
Camera-Based Graphical Symbol Detection
2007
9th IEEE International Conference on Document Analysis and Recognition
2
884–888
Mathieu Nicolas Delalandre; Tony Pridmore; Ernest Valveny; Eric Trupin; Herve Locteau
Building Synthetic Graphical Documents for Performance Evaluation
2007
Seventh IAPR International Workshop on Graphics Recognition
84–87
Mathieu Nicolas Delalandre; Tony Pridmore; Ernest Valveny; Herve Locteau; Eric Trupin
Building Synthetic Graphical Documents for Performance Evaluation
2008
Graphics Recognition: Recent Advances and New Opportunities
5046
288–298
Alicia Fornes; Josep Llados; Joana Maria Pujadas-Mora
Browsing of the Social Network of the Past: Information Extraction from Population Manuscript Images
2020
Handwritten Historical Document Analysis, Recognition, and Retrieval – State of the Art and Future Trends
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