activity
20182020
most citedAI in the media and creative industries

21 citations · 28 across the 3 of their papers we have counts for

collaborators

8 papers

cs.CV2020

Location Sensitive Image Retrieval and Tagging

Raul Gomez, Jaume Gibert, Lluis Gomez +1

People from different parts of the globe describe objects and concepts in distinct manners. Visual appearance can thus vary across different geographic locations, which makes locat…

cs.CV20207 cited

Extended Labeled Faces in-the-Wild (ELFW): Augmenting Classes for Face Segmentation

Rafael Redondo, Jaume Gibert

Existing face datasets often lack sufficient representation of occluding objects, which can hinder recognition, but also supply meaningful information to understand the visual cont…

cs.CV2019

Exploring Hate Speech Detection in Multimodal Publications

Raul Gomez, Jaume Gibert, Lluis Gomez +1

In this work we target the problem of hate speech detection in multimodal publications formed by a text and an image. We gather and annotate a large scale dataset from Twitter, MMH…

cs.CV2019

Selective Style Transfer for Text

Raul Gomez, Ali Furkan Biten, Lluis Gomez +3

This paper explores the possibilities of image style transfer applied to text maintaining the original transcriptions. Results on different text domains (scene text, machine printe…

cs.AI201921 cited

AI in the media and creative industries

Giuseppe Amato, Malte Behrmann, Frédéric Bimbot +16

Thanks to the Big Data revolution and increasing computing capacities, Artificial Intelligence (AI) has made an impressive revival over the past few years and is now omnipresent in…

cs.CV2019

Self-Supervised Learning from Web Data for Multimodal Retrieval

Raul Gomez, Lluis Gomez, Jaume Gibert +1

Self-Supervised learning from multimodal image and text data allows deep neural networks to learn powerful features with no need of human annotated data. Web and Social Media platf…