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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(3)
Proceedings of the International Conference on Document Analysis and Recognition, ICDAR(2)
Multimodal Scene Understanding: Algorithms, Applications and Deep Learning(1)
Pattern Recognition Letters(1)
Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020(1)
Área temáticas
Métodos informáticos especiales(3)
Programación informática, programas, datos, seguridad(2)
Ciencias de la computación(1)
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Exploring hate speech detection in multimodal publications
Conference ObjectAbstract: In this work we target the problem of hate speech detection in multimodal publications formed by a tPalabras claves:Autores:Gibert J., Gómez R., Karatzas D., Lluís Álvarez GómezFuentes: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:scopusICDAR2017 Robust Reading Challenge on COCO-Text
Conference ObjectAbstract: This report presents the final results of the ICDAR 2017 Robust Reading Challenge on COCO-Text. A chPalabras claves:Autores:Belongie S., Gómez R., Karatzas D., Lluís Álvarez Gómez, Matas J., Numann L., Shi B., Veit A.Fuentes:scopusLearning from #barcelona instagram data what locals and tourists post about its neighbourhoods
Conference ObjectAbstract: Massive tourism is becoming a big problem for some cities, such as Barcelona, due to its concentratiPalabras claves:City tourism analysis, Self-supervised learning, Social media analysis, Webly supervised learningAutores:Gibert J., Gómez R., Karatzas D., Lluís Álvarez GómezFuentes:scopusLearning to learn from web data through deep semantic embeddings
Conference ObjectAbstract: In this paper we propose to learn a multimodal image and text embedding from Web and Social Media daPalabras claves:Multimodal embeddings, Multimodal retrieval, Self-supervised learning, Text embeddings, Webly supervised learningAutores:Gibert J., Gómez R., Karatzas D., Lluís Álvarez GómezFuentes:scopusLocation Sensitive Image Retrieval and Tagging
Conference ObjectAbstract: People from different parts of the globe describe objects and concepts in distinct manners. Visual aPalabras claves:Autores:Gibert J., Gómez R., Karatzas D., Lluís Álvarez GómezFuentes:scopusSelective style transfer for text
Conference ObjectAbstract: This paper explores the possibilities of image style transfer applied to text maintaining the originPalabras claves:data augmentation, Scene text detection, Style transfer, Text style transferAutores:Furkan Biten A., Gibert J., Gómez R., Karatzas D., Lluís Álvarez Gómez, Rusiñol M.Fuentes:scopusSelf-supervised learning from web data for multimodal retrieval
Book PartAbstract: Self-supervised learning from multimodal image and text data allows deep neural networks to learn poPalabras claves:Multimodal embedding, Multimodal retrieval, Self-supervised learning, Text embeddings, Webly supervised learningAutores:Gibert J., Gómez R., Karatzas D., Lluís Álvarez GómezFuentes:scopus