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Author
Title
Year
Publication
Volume
Pages
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David Fernandez; R.Manmatha; Josep Llados; Alicia Fornes
Sequential Word Spotting in Historical Handwritten Documents
2014
11th IAPR International Workshop on Document Analysis and Systems
101 - 105
Sounak Dey; Anjan Dutta; Suman Ghosh; Ernest Valveny; Josep Llados; Umapada Pal
Learning Cross-Modal Deep Embeddings for Multi-Object Image Retrieval using Text and Sketch
2018
24th International Conference on Pattern Recognition
916 - 921
Mohamed Ali Souibgui
Document Image Enhancement and Recognition in Low Resource Scenarios: Application to Ciphers and Handwritten Text
2022
PhD Thesis, Universitat Autonoma de Barcelona-CVC
Juan Ignacio Toledo
Information Extraction from Heterogeneous Handwritten Documents
2019
PhD Thesis, Universitat Autonoma de Barcelona-CVC
George Tom; Minesh Mathew; Sergi Garcia Bordils; Dimosthenis Karatzas; CV Jawahar
ICDAR 2023 Competition on RoadText Video Text Detection, Tracking and Recognition
2023
17th International Conference on Document Analysis and Recognition
14188
577–586
Ruben Tito; Minesh Mathew; C.V. Jawahar; Ernest Valveny; Dimosthenis Karatzas
ICDAR 2021 Competition on Document Visual Question Answering
2021
16th International Conference on Document Analysis and Recognition
635-649
Juan Ignacio Toledo; Jordi Cucurull; Jordi Puiggali; Alicia Fornes; Josep Llados
Document Analysis Techniques for Automatic Electoral Document Processing: A Survey
2015
E-Voting and Identity, Proceedings of 5th international conference, VoteID 2015
139-141
Marçal Rusiñol; Josep Llados
Boosting the Handwritten Word Spotting Experience by Including the User in the Loop
2014
Pattern Recognition
47
1063–1072
Lluis Pere de las Heras; Oriol Ramos Terrades; Josep Llados
Attributed Graph Grammar for floor plan analysis
2015
13th International Conference on Document Analysis and Recognition ICDAR2015
726 - 730
Mohamed Ali Souibgui; Sanket Biswas; Andres Mafla; Ali Furkan Biten; Alicia Fornes; Yousri Kessentini; Josep Llados; Lluis Gomez; Dimosthenis Karatzas
Text-DIAE: a self-supervised degradation invariant autoencoder for text recognition and document enhancement
2023
Proceedings of the 37th AAAI Conference on Artificial Intelligence
37
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