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Author
Title
Year
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Volume
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Pau Riba; Josep Llados; Alicia Fornes
Error-tolerant coarse-to-fine matching model for hierarchical graphs
2017
11th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition
10310
107-117
Klaus Broelemann; Anjan Dutta; Xiaoyi Jiang; Josep Llados
Plausibility-Graphs for Symbol Spotting in Graphical Documents
2013
10th IAPR International Workshop on Graphics Recognition
Klaus Broelemann; Anjan Dutta; Xiaoyi Jiang; Josep Llados
Hierarchical Plausibility-Graphs for Symbol Spotting in Graphical Documents
2014
Graphics Recognition. Current Trends and Challenges
8746
25-37
Jaume Gibert; Ernest Valveny; Horst Bunke; Alicia Fornes
On the Correlation of Graph Edit Distance and L1 Distance in the Attribute Statistics Embedding Space
2012
Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshop
7626
135-143
Pau Riba; Andreas Fischer; Josep Llados; Alicia Fornes
Learning Graph Distances with Message Passing Neural Networks
2018
24th International Conference on Pattern Recognition
2239-2244
Miquel Ferrer; Ernest Valveny; F. Serratosa
Median Graphs: A Genetic Approach based on New Theoretical Properties
2009
Pattern Recognition
42
2003–2012
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
Andrea Gemelli; Sanket Biswas; Enrico Civitelli; Josep Llados; Simone Marinai
Doc2Graph: A Task Agnostic Document Understanding Framework Based on Graph Neural Networks
2022
17th European Conference on Computer Vision Workshops
13804
329–344
Pau Riba
Distilling Structure from Imagery: Graph-based Models for the Interpretation of Document Images
2020
PhD Thesis, Universitat Autonoma de Barcelona-CVC
Youssef El Rhabi; Simon Loic; Brun Luc
Estimation de la pose d’une caméra à partir d’un flux vidéo en s’approchant du temps réel
2015
15ème édition d'ORASIS, journées francophones des jeunes chercheurs en vision par ordinateur ORASIS2015
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