CVC Researchers at this year’s ICDAR 2019
Several CVC researchers attended the 15th International Conference on Document Analysis and Recognition (ICDAR 2019) that took place in the International Convention Centre in Sydney, Australia, from the 20 to 25th of September. ICDAR is the largest gathering on Document Analysis worldwide, in which CVC normally has an important presence.
The articles presented were the following:
Table Detection in Invoice Documents by Graph Neural Networks, by authors Pau Riba, Anjan Dutta, Lutz Goldmann, Alicia Fornés, Oriol Ramos and Josep Lladós.
Training-Free and Segmentation-Free Word Spotting using Feature Matching and Query Expansion, by authors Ekta Vats, Anders Hast and Alicia Fornés.
Can One Deep Learning Model Learn Script-Independent Multilingual WordSpotting?, by authors Mohammed Al-Rawi, Ernest Valveny and Dimosthenis Karatzas.
Recurrent Comparator with attention models to detect counterfeit documents, by authors Albert Berenguel Centeno, Oriol Ramos Terrades, Josep Lladós i Canet and Cristina Cañero Morales.
ICDAR 2019 RRC on Scene Text Visual Question Answering, by authors Ali Furkan Biten, Rubén Perez Tito, Andres Mafla, Lluis Gomez, Marçal Rusiñol, Minesh Mathew, C.V. Jawahar, Ernest Valveny and Dimosthenis Karatzas
Selective Style Transfer for Text, by authors Raul Gomez, Ali Biten, Dimosthenis Karatzas, Lluis Gomez, Jaume Gibert and Marçal Rusiñol
Have a look at our ICDAR 2019 Moment in Twitter: https://twitter.com/i/moments/1192061665992433665?s=13
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