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20142025
most citedTextProposals: a Text-specific Selective Search Algorithm for Word Spotting in the Wild

18 citations · 53 across the 25 of their papers we have counts for

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Showing 2019Show all

7 papers · 1 filter

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

ICDAR 2019 Competition on Scene Text Visual Question Answering

Ali Furkan Biten, Rubèn Tito, Andres Mafla +6

This paper presents final results of ICDAR 2019 Scene Text Visual Question Answering competition (ST-VQA). ST-VQA introduces an important aspect that is not addressed by any Visual…

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.CV2019

Scene Text Visual Question Answering

Ali Furkan Biten, Ruben Tito, Andres Mafla +5

Current visual question answering datasets do not consider the rich semantic information conveyed by text within an image. In this work, we present a new dataset, ST-VQA, that aims…

cs.CV2019

Good News, Everyone! Context driven entity-aware captioning for news images

Ali Furkan Biten, Lluis Gomez, Marçal Rusiñol +1

Current image captioning systems perform at a merely descriptive level, essentially enumerating the objects in the scene and their relations. Humans, on the contrary, interpret ima…

cs.CV2019★ 2 cited

Self-Supervised Visual Representations for Cross-Modal Retrieval

Yash Patel, Lluis Gomez, Marçal Rusiñol +2

Cross-modal retrieval methods have been significantly improved in last years with the use of deep neural networks and large-scale annotated datasets such as ImageNet and Places. Ho…

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…