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Miquel Ferrer; Ernest Valveny; F. Serratosa A New Optimal Algorithm for the Generalized Median Graph Computation Based on the Maximum Common Subgraph 2007 CVC Technical Report #109 details   openurl
Miquel Ferrer; Ernest Valveny; F. Serratosa Median graph: A new exact algorithm using a distance based on the maximum common subgraph 2009 Pattern Recognition Letters 30 579–588 details   doi
Miquel Ferrer; Ernest Valveny; F. Serratosa Median Graphs: A Genetic Approach based on New Theoretical Properties 2009 Pattern Recognition 42 2003–2012 details   doi
Miquel Ferrer; Ernest Valveny; F. Serratosa Median Graph Computation by means of a Genetic Approach Based on Minimum Common Supergraph and Maximum Common Subraph 2009 4th Iberian Conference on Pattern Recognition and Image Analysis 5524 346–353 details   doi
Miquel Ferrer; Ernest Valveny Combination of OCR Engines for Page Segmentation based on Performance Evaluation 2007 9th International Conference on Document Analysis and Recognition 2 784–788 details   openurl
Miquel Ferrer; Dimosthenis Karatzas; Ernest Valveny; I. Bardaji; Horst Bunke A Generic Framework for Median Graph Computation based on a Recursive Embedding Approach 2011 Computer Vision and Image Understanding 115 919-928 details   openurl
Miquel Ferrer; Dimosthenis Karatzas; Ernest Valveny; Horst Bunke A Recursive Embedding Approach to Median Graph Computation 2009 7th IAPR – TC–15 Workshop on Graph–Based Representations in Pattern Recognition 5534 113–123 details   doi
Minesh Mathew; Viraj Bagal; Ruben Tito; Dimosthenis Karatzas; Ernest Valveny; C.V. Jawahar InfographicVQA 2022 Winter Conference on Applications of Computer Vision 1697-1706 details   pdf doi
Minesh Mathew; Ruben Tito; Dimosthenis Karatzas; R.Manmatha; C.V. Jawahar Document Visual Question Answering Challenge 2020 2020 33rd IEEE Conference on Computer Vision and Pattern Recognition – Short paper details   pdf url
Minesh Mathew; Lluis Gomez; Dimosthenis Karatzas; C.V. Jawahar Asking questions on handwritten document collections 2021 International Journal on Document Analysis and Recognition 24 235-249 details   pdf url
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