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Proceedings of the International Conference on Document Analysis and Recognition, ICDAR(5)
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scopus(25)
Cutting Sayre's Knot: Reading Scene Text without Segmentation. Application to Utility Meters
Conference ObjectAbstract: In this paper we present a segmentation-free system for reading text in natural scenes. A CNN architPalabras claves:cnn, End-to-end Systems, Robust reading, Utility MetersAutores:Karatzas D., Lluís Álvarez Gómez, Rusiñol M.Fuentes:scopusDate Estimation in the Wild of Scanned Historical Photos: An Image Retrieval Approach
Conference ObjectAbstract: This paper presents a novel method for date estimation of historical photographs from archival sourcPalabras claves:Date estimation, Historical photographs, Image retrieval, Ranking loss, Smooth-nDCGAutores:Llados J., Lluís Álvarez Gómez, Molina A., Ramos-Terrades O., Riba P.Fuentes:scopusDynamic lexicon generation for natural scene images
Conference ObjectAbstract: Many scene text understanding methods approach the endto-end recognition problem from a word-spottinPalabras claves:cnn, Lexicon generation, Photo OCR, Scene text, Scene understanding, Topic modelingAutores:Karatzas D., Lluís Álvarez Gómez, Patel Y., Rusiñol M.Fuentes:scopusICDAR 2019 competition on scene text visual question answering
Conference ObjectAbstract: This paper presents final results of ICDAR 2019 Scene Text Visual Question Answering competition (STPalabras claves:Scene text, Scene understanding, Vision and language, Visual question answeringAutores:Furkan Biten A., Jawahar C.V., Karatzas D., Lluís Álvarez Gómez, Mafla A., Mathew M., Rusiñol M., Tito R., Valveny E.Fuentes:scopusICDAR2017 Robust Reading Challenge on Omnidirectional Video
Conference ObjectAbstract: Results of ICDAR 2017 Robust Reading Challenge on Omnidirectional Video are presented. This competitPalabras claves:DOST, Downtown Osaka Scene Text Dataset, Japanese, Multi-scipt text, Omnidirectional video, Robust readingAutores:Bazazian D., Iwamura M., Karatzas D., Lluís Álvarez Gómez, Morimoto N., Tainaka K.Fuentes:scopusFAST: Facilitated and Accurate Scene Text Proposals through FCN Guided Pruning
ArticleAbstract: Class-specific text proposal algorithms can efficiently reduce the search space for possible text obPalabras claves:Fully convolutional networks, Scene text images, Text proposalsAutores:Bagdanov A.D., Bazazian D., Gómez R., Karatzas D., Lluís Álvarez Gómez, Nicolaou A.Fuentes:scopusImproving patch-based scene text script identification with ensembles of conjoined networks
ArticleAbstract: This paper focuses on the problem of script identification in scene text images. Facing this problemPalabras claves:convolutional neural networks, Ensemble of conjoined networks, Multi-language OCR, Scene text understanding, script identificationAutores:Karatzas D., Lluís Álvarez Gómez, Nicolaou A.Fuentes:scopusIs An Image Worth Five Sentences? A New Look into Semantics for Image-Text Matching
Conference ObjectAbstract: The task of image-text matching aims to map representations from different modalities into a commonPalabras claves:Vision and LanguagesAutores:Furkan Biten A., Karatzas D., Lluís Álvarez Gómez, Mafla A.Fuentes:scopusLSDE: Levenshtein Space Deep Embedding for Query-by-String Word Spotting
Conference ObjectAbstract: In this paper we present the LSDE string representation and its application to handwritten word spotPalabras claves:CNNs, Deep embeddings, Handwritten Keyword Spotting, Query by stringAutores:Karatzas D., Lluís Álvarez Gómez, Rusiñol M.Fuentes:scopusReal-time Lexicon-free Scene Text Retrieval
ArticleAbstract: In this work, we address the task of scene text retrieval: given a text query, the system returns alPalabras claves:convolutional neural networks, Image retrieval, PHOC, Region proposal networks, Scene text detection, Scene text recognition, Word spottingAutores:Dey S., Karatzas D., Lluís Álvarez Gómez, Mafla A., Rusiñol M., Tito R., Valveny E.Fuentes:scopus