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Title
Year
Publication
Volume
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Josep Llados; Ernest Valveny; Gemma Sanchez; Enric Marti
Symbol recognition: current advances and perspectives
2002
Graphics Recognition Algorithms And Applications
2390
104-128
Josep Llados; Enric Marti; Juan J.Villanueva
Symbol recognition by error-tolerant subgraph matching between region adjacency graphs
2001
IEEE Transactions on Pattern Analysis and Machine Intelligence
23
1137-1143
Andreas Fischer; Ching Y. Suen; Volkmar Frinken; Kaspar Riesen; Horst Bunke
A Fast Matching Algorithm for Graph-Based Handwriting Recognition
2013
9th IAPR – TC15 Workshop on Graph-based Representation in Pattern Recognition
7877
194-203
Marçal Rusiñol; Josep Llados
Symbol Spotting in Digital Libraries:Focused Retrieval over Graphic-rich Document Collections
2010
Symbol Spotting in Digital Libraries:Focused Retrieval over Graphic-rich Document Collections
Hongxing Gao; Marçal Rusiñol; Dimosthenis Karatzas; Josep Llados
Fast Structural Matching for Document Image Retrieval through Spatial Databases
2014
Document Recognition and Retrieval XXI
9021
Albert Suso; Pau Riba; Oriol Ramos Terrades; Josep Llados
A Self-supervised Inverse Graphics Approach for Sketch Parametrization
2021
16th International Conference on Document Analysis and Recognition
12916
28-42
Ali Furkan Biten; Andres Mafla; Lluis Gomez; Dimosthenis Karatzas
Is An Image Worth Five Sentences? A New Look into Semantics for Image-Text Matching
2022
Winter Conference on Applications of Computer Vision
1391-1400
Arnau Baro
Reading Music Systems: From Deep Optical Music Recognition to Contextual Methods
2022
PhD Thesis, Universitat Autonoma de Barcelona-CVC
Manuel Carbonell; Pau Riba; Mauricio Villegas; Alicia Fornes; Josep Llados
Named Entity Recognition and Relation Extraction with Graph Neural Networks in Semi Structured Documents
2020
25th International Conference on Pattern Recognition
Ricard Coll; Alicia Fornes; Josep Llados
Graphological Analysis of Handwritten Text Documents for Human Resources Recruitment
2009
10th International Conference on Document Analysis and Recognition
1081–1085
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