Lluis Gómez

Multi-Modal Reasoning Graph for Scene-Text Based Fine-Grained Image Classification and Retrieval

Scene text instances found in natural images carry explicit semantic inf...
09/21/2020 ∙ by Andrés Mafla, et al. ∙ 12 ∙ share

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Location Sensitive Image Retrieval and Tagging

People from different parts of the globe describe objects and concepts i...
07/07/2020 ∙ by Raul Gomez, et al. ∙ 14 ∙ share

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Text Recognition – Real World Data and Where to Find Them

We present a method for exploiting weakly annotated images to improve te...
07/06/2020 ∙ by Klára Janoušková, et al. ∙ 13 ∙ share

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Multimodal grid features and cell pointers for Scene Text Visual Question Answering

This paper presents a new model for the task of scene text visual questi...
06/01/2020 ∙ by Lluis Gómez, et al. ∙ 7 ∙ share

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RoadText-1K: Text Detection Recognition Dataset for Driving Videos

Perceiving text is crucial to understand semantics of outdoor scenes and...
05/19/2020 ∙ by Sangeeth Reddy, et al. ∙ 8 ∙ share

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Fine-grained Image Classification and Retrieval by Combining Visual and Locally Pooled Textual Features

Text contained in an image carries high-level semantics that can be expl...
01/14/2020 ∙ by Andrés Mafla, et al. ∙ 6 ∙ share

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Exploring Hate Speech Detection in Multimodal Publications

In this work we target the problem of hate speech detection in multimoda...
10/09/2019 ∙ by Raul Gomez, et al. ∙ 37 ∙ share

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ICDAR 2019 Competition on Scene Text Visual Question Answering

This paper presents final results of ICDAR 2019 Scene Text Visual Questi...
06/30/2019 ∙ by Ali Furkan Biten, et al. ∙ 0 ∙ share

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Selective Style Transfer for Text

This paper explores the possibilities of image style transfer applied to...
06/04/2019 ∙ by Raul Gomez, et al. ∙ 0 ∙ share

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Scene Text Visual Question Answering

Current visual question answering datasets do not consider the rich sema...
05/31/2019 ∙ by Ali Furkan Biten, et al. ∙ 0 ∙ share

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

Current image captioning systems perform at a merely descriptive level, ...
04/02/2019 ∙ by Ali Furkan Biten, et al. ∙ 0 ∙ share

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Self-Supervised Visual Representations for Cross-Modal Retrieval

Cross-modal retrieval methods have been significantly improved in last y...
01/31/2019 ∙ by Yash Patel, et al. ∙ 0 ∙ share

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Self-Supervised Learning from Web Data for Multimodal Retrieval

Self-Supervised learning from multimodal image and text data allows deep...
01/07/2019 ∙ by Raul Gomez, et al. ∙ 6 ∙ share

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Single Shot Scene Text Retrieval

Textual information found in scene images provides high level semantic i...
08/27/2018 ∙ by Lluis Gómez, et al. ∙ 2 ∙ share

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Learning from #Barcelona Instagram data what Locals and Tourists post about its Neighbourhoods

Massive tourism is becoming a big problem for some cities, such as Barce...
08/20/2018 ∙ by Raul Gomez, et al. ∙ 0 ∙ share

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Learning to Learn from Web Data through Deep Semantic Embeddings

In this paper we propose to learn a multimodal image and text embedding ...
08/20/2018 ∙ by Raul Gomez, et al. ∙ 2 ∙ share

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TextTopicNet - Self-Supervised Learning of Visual Features Through Embedding Images on Semantic Text Spaces

The immense success of deep learning based methods in computer vision he...
07/04/2018 ∙ by Yash Patel, et al. ∙ 0 ∙ share

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The Robust Reading Competition Annotation and Evaluation Platform

The ICDAR Robust Reading Competition (RRC), initiated in 2003 and re-est...
10/18/2017 ∙ by Dimosthenis Karatzas, et al. ∙ 0 ∙ share

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Self-supervised learning of visual features through embedding images into text topic spaces

End-to-end training from scratch of current deep architectures for new c...
05/24/2017 ∙ by Lluis Gómez, et al. ∙ 0 ∙ share

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Improving patch-based scene text script identification with ensembles of conjoined networks

This paper focuses on the problem of script identification in scene text...
02/24/2016 ∙ by Lluis Gómez, et al. ∙ 0 ∙ share

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A fine-grained approach to scene text script identification

This paper focuses on the problem of script identification in unconstrai...
02/24/2016 ∙ by Lluis Gómez, et al. ∙ 0 ∙ share

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Object Proposals for Text Extraction in the Wild

Object Proposals is a recent computer vision technique receiving increas...
09/08/2015 ∙ by Lluis Gómez, et al. ∙ 0 ∙ share

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A Fast Hierarchical Method for Multi-script and Arbitrary Oriented Scene Text Extraction

Typography and layout lead to the hierarchical organisation of text in w...
07/28/2014 ∙ by Lluis Gómez, et al. ∙ 0 ∙ share

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Lluis Gómez

Featured Co-authors

Jiri Matas

C. V. Jawahar

Dimosthenis Karatzas

Marçal Rusiñol

Anguelos Nicolaou

Yash Patel

Raul Gomez

Sounak Dey

Jaume Gibert

Ernest Valveny

Ali Furkan Biten

Multi-Modal Reasoning Graph for Scene-Text Based Fine-Grained Image Classification and Retrieval

Location Sensitive Image Retrieval and Tagging

Text Recognition – Real World Data and Where to Find Them

Multimodal grid features and cell pointers for Scene Text Visual Question Answering

RoadText-1K: Text Detection Recognition Dataset for Driving Videos

Fine-grained Image Classification and Retrieval by Combining Visual and Locally Pooled Textual Features

Exploring Hate Speech Detection in Multimodal Publications

ICDAR 2019 Competition on Scene Text Visual Question Answering

Selective Style Transfer for Text

Scene Text Visual Question Answering

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

Self-Supervised Visual Representations for Cross-Modal Retrieval

Self-Supervised Learning from Web Data for Multimodal Retrieval

Single Shot Scene Text Retrieval

Learning from #Barcelona Instagram data what Locals and Tourists post about its Neighbourhoods

Learning to Learn from Web Data through Deep Semantic Embeddings

TextTopicNet - Self-Supervised Learning of Visual Features Through Embedding Images on Semantic Text Spaces

The Robust Reading Competition Annotation and Evaluation Platform

Self-supervised learning of visual features through embedding images into text topic spaces

Improving patch-based scene text script identification with ensembles of conjoined networks

A fine-grained approach to scene text script identification

Object Proposals for Text Extraction in the Wild

A Fast Hierarchical Method for Multi-script and Arbitrary Oriented Scene Text Extraction