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Lluis Gomez; Anguelos Nicolaou; Marçal Rusiñol; Dimosthenis Karatzas 12 years of ICDAR Robust Reading Competitions: The evolution of reading systems for unconstrained text understanding 2020 Visual Text Interpretation – Algorithms and Applications in Scene Understanding and Document Analysis details   openurl
Lluis Gomez; Dena Bazazian; Dimosthenis Karatzas Historical review of scene text detection research 2020 Visual Text Interpretation – Algorithms and Applications in Scene Understanding and Document Analysis details   openurl
Manuel Carbonell Neural Information Extraction from Semi-structured Documents A 2020 PhD Thesis, Universitat Autonoma de Barcelona-CVC details   isbn
Manuel Carbonell; Alicia Fornes; Mauricio Villegas; Josep Llados A Neural Model for Text Localization, Transcription and Named Entity Recognition in Full Pages 2020 Pattern Recognition Letters 136 219-227 details   pdf openurl
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 details   pdf openurl
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
Mohamed Ali Souibgui; Y.Kessentini; Alicia Fornes A conditional GAN based approach for distorted camera captured documents recovery 2020 4th Mediterranean Conference on Pattern Recognition and Artificial Intelligence details   pdf openurl
Oriol Ramos Terrades; Albert Berenguel; Debora Gil A flexible outlier detector based on a topology given by graph communities 2020 Arxiv details   pdf url
Pau Riba Distilling Structure from Imagery: Graph-based Models for the Interpretation of Document Images 2020 PhD Thesis, Universitat Autonoma de Barcelona-CVC details   isbn
Pau Riba; Andreas Fischer; Josep Llados; Alicia Fornes Learning Graph Edit Distance by Graph NeuralNetworks 2020 Arxiv details   pdf url
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