1 code implementation • 11 Aug 2020 • Raul Gomez, Yahui Liu, Marco De Nadai, Dimosthenis Karatzas, Bruno Lepri, Nicu Sebe
In this paper we propose the use of an image retrieval system to assist the image-to-image translation task.
no code implementations • ECCV 2020 • Raul Gomez, Jaume Gibert, Lluis Gomez, Dimosthenis Karatzas
People from different parts of the globe describe objects and concepts in distinct manners.
1 code implementation • 9 Oct 2019 • Raul Gomez, Jaume Gibert, Lluis Gomez, Dimosthenis Karatzas
In this work we target the problem of hate speech detection in multimodal publications formed by a text and an image.
1 code implementation • 4 Jun 2019 • Raul Gomez, Ali Furkan Biten, Lluis Gomez, Jaume Gibert, Marçal Rusiñol, Dimosthenis Karatzas
This paper explores the possibilities of image style transfer applied to text maintaining the original transcriptions.
1 code implementation • 7 Jan 2019 • Raul Gomez, Lluis Gomez, Jaume Gibert, Dimosthenis Karatzas
In this work we propose to exploit this free available data to learn a multimodal image and text embedding, aiming to leverage the semantic knowledge learnt in the text domain and transfer it to a visual model for semantic image retrieval.
1 code implementation • 20 Aug 2018 • Raul Gomez, Lluis Gomez, Jaume Gibert, Dimosthenis Karatzas
In this paper we propose to learn a multimodal image and text embedding from Web and Social Media data, aiming to leverage the semantic knowledge learnt in the text domain and transfer it to a visual model for semantic image retrieval.
1 code implementation • 20 Aug 2018 • Raul Gomez, Lluis Gomez, Jaume Gibert, Dimosthenis Karatzas
We perform a language separate treatment of the data and show that it can be extrapolated to a tourists and locals separate analysis, and that tourism is reflected in Social Media at a neighborhood level.
1 code implementation • 4 Jul 2018 • Yash Patel, Lluis Gomez, Raul Gomez, Marçal Rusiñol, Dimosthenis Karatzas, C. V. Jawahar
We show that adequate visual features can be learned efficiently by training a CNN to predict the semantic textual context in which a particular image is more probable to appear as an illustration.
1 code implementation • 16 Feb 2017 • Dena Bazazian, Raul Gomez, Anguelos Nicolaou, Lluis Gomez, Dimosthenis Karatzas, Andrew D. Bagdanov
Text Proposals have emerged as a class-dependent version of object proposals - efficient approaches to reduce the search space of possible text object locations in an image.