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scopus(24)
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: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: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:scopusMulti-modal reasoning graph for scene-text based fine-grained image classification and retrieval
Conference ObjectAbstract: Scene text instances found in natural images carry explicit semantic information that can provide imPalabras claves:Autores:Dey S., Furkan Biten A., Karatzas D., Lluís Álvarez Gómez, Mafla A.Fuentes:scopusMulti-script text extraction from natural scenes
Conference ObjectAbstract: Scene text extraction methodologies are usually based in classification of individual regions or patPalabras claves:Localisation, Perceptual grouping, Scene text, segmentationAutores:Karatzas D., Lluís Álvarez GómezFuentes:scopusMultimodal grid features and cell pointers for scene text visual question answering
ArticleAbstract: This paper presents a new model for the task of scene text visual question answering. In this task qPalabras claves:41A05, 41A10, 65D05, 65D17, deep learning, MSC, Multi-modal learning, Scene text, Visual question answeringAutores:Furkan Biten A., Karatzas D., Lluís Álvarez Gómez, Mafla A., Rusiñol M., Tito R., Valveny E.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:scopusObject proposals for text extraction in the wild
Conference ObjectAbstract: Object Proposals is a recent computer vision technique receiving increasing interest from the researPalabras claves:Autores:Karatzas D., Lluís Álvarez GómezFuentes: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:scopus