Dimosthenis Karatzas

research

∙ 03/09/2022

Text-DIAE: Degradation Invariant Autoencoders for Text Recognition and Document Enhancement

In this work, we propose Text-Degradation Invariant Auto Encoder (Text-D...

Mohamed Ali Souibgui, et al. ∙

research

∙ 02/25/2022

OCR-IDL: OCR Annotations for Industry Document Library Dataset

Pretraining has proven successful in Document Intelligence tasks where d...

Ali Furkan Biten, et al. ∙

research

∙ 11/10/2021

ICDAR 2021 Competition on Document VisualQuestion Answering

In this report we present results of the ICDAR 2021 edition of the Docum...

Ruben Tito, et al. ∙

research

∙ 10/06/2021

Is An Image Worth Five Sentences? A New Look into Semantics for Image-Text Matching

The task of image-text matching aims to map representations from differe...

Ali Furkan Biten, et al. ∙

research

∙ 10/04/2021

Let there be a clock on the beach: Reducing Object Hallucination in Image Captioning

Explaining an image with missing or non-existent objects is known as obj...

Ali Furkan Biten, et al. ∙

research

∙ 10/02/2021

Asking questions on handwritten document collections

This work addresses the problem of Question Answering (QA) on handwritte...

Minesh Mathew, et al. ∙

research

∙ 05/11/2021

One-shot Compositional Data Generation for Low Resource Handwritten Text Recognition

Low resource Handwritten Text Recognition (HTR) is a hard problem due to...

Mohamed Ali Souibgui, et al. ∙

research

∙ 04/27/2021

Document Collection Visual Question Answering

Current tasks and methods in Document Understanding aims to process docu...

Ruben Tito, et al. ∙

research

∙ 04/26/2021

InfographicVQA

Infographics are documents designed to effectively communicate informati...

Minesh Mathew, et al. ∙

research

∙ 03/18/2021

ICDAR2019 Competition on Scanned Receipt OCR and Information Extraction

Scanned receipts OCR and key information extraction (SROIE) represent th...

Zheng Huang, et al. ∙

research

∙ 12/08/2020

StacMR: Scene-Text Aware Cross-Modal Retrieval

Recent models for cross-modal retrieval have benefited from an increasin...

Andrés Mafla, et al. ∙

research

∙ 09/21/2020

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...

Andrés Mafla, et al. ∙

research

∙ 08/20/2020

Document Visual Question Answering Challenge 2020

This paper presents results of Document Visual Question Answering Challe...

Minesh Mathew, et al. ∙

research

∙ 08/11/2020

Retrieval Guided Unsupervised Multi-domain Image-to-Image Translation

Image to image translation aims to learn a mapping that transforms an im...

Raul Gomez, et al. ∙

research

∙ 07/07/2020

Location Sensitive Image Retrieval and Tagging

People from different parts of the globe describe objects and concepts i...

Raul Gomez, et al. ∙

research

∙ 07/06/2020

Text Recognition – Real World Data and Where to Find Them

We present a method for exploiting weakly annotated images to improve te...

Klára Janoušková, et al. ∙

research

∙ 07/01/2020

DocVQA: A Dataset for VQA on Document Images

We present a new dataset for Visual Question Answering on document image...

Minesh Mathew, et al. ∙

research

∙ 06/01/2020

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...

Lluis Gómez, et al. ∙

research

∙ 05/19/2020

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

Perceiving text is crucial to understand semantics of outdoor scenes and...

Sangeeth Reddy, et al. ∙

research

∙ 01/14/2020

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...

Andrés Mafla, et al. ∙

research

∙ 10/09/2019

Exploring Hate Speech Detection in Multimodal Publications

In this work we target the problem of hate speech detection in multimoda...

Raul Gomez, et al. ∙

research

∙ 09/17/2019

ICDAR 2019 Competition on Large-scale Street View Text with Partial Labeling – RRC-LSVT

Robust text reading from street view images provides valuable informatio...

Yipeng Sun, et al. ∙

research

∙ 09/16/2019

ICDAR2019 Robust Reading Challenge on Arbitrary-Shaped Text (RRC-ArT)

This paper reports the ICDAR2019 Robust Reading Challenge on Arbitrary-S...

Chee Kheng Chng, et al. ∙

research

∙ 07/01/2019

ICDAR2019 Robust Reading Challenge on Multi-lingual Scene Text Detection and Recognition -- RRC-MLT-2019

With the growing cosmopolitan culture of modern cities, the need of robu...

Nibal Nayef, et al. ∙

research

∙ 06/30/2019

ICDAR 2019 Competition on Scene Text Visual Question Answering

This paper presents final results of ICDAR 2019 Scene Text Visual Questi...

Ali Furkan Biten, et al. ∙

research

∙ 06/04/2019

Selective Style Transfer for Text

This paper explores the possibilities of image style transfer applied to...

Raul Gomez, et al. ∙

research

∙ 05/31/2019

Scene Text Visual Question Answering

Current visual question answering datasets do not consider the rich sema...

Ali Furkan Biten, et al. ∙

research

∙ 04/02/2019

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

Current image captioning systems perform at a merely descriptive level, ...

Ali Furkan Biten, et al. ∙

research

∙ 01/31/2019

Self-Supervised Visual Representations for Cross-Modal Retrieval

Cross-modal retrieval methods have been significantly improved in last y...

Yash Patel, et al. ∙

research

∙ 01/07/2019

Self-Supervised Learning from Web Data for Multimodal Retrieval

Self-Supervised learning from multimodal image and text data allows deep...

Raul Gomez, et al. ∙

research

∙ 09/04/2018

Soft-PHOC Descriptor for End-to-End Word Spotting in Egocentric Scene Images

Word spotting in natural scene images has many applications in scene und...

Dena Bazazian, et al. ∙

research

∙ 08/27/2018

Single Shot Scene Text Retrieval

Textual information found in scene images provides high level semantic i...

Lluis Gómez, et al. ∙

research

∙ 08/20/2018

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...

Raul Gomez, et al. ∙

research

∙ 08/20/2018

Learning to Learn from Web Data through Deep Semantic Embeddings

In this paper we propose to learn a multimodal image and text embedding ...

Raul Gomez, et al. ∙

research

∙ 07/04/2018

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...

Yash Patel, et al. ∙

research

∙ 06/19/2018

Non-deterministic Behavior of Ranking-based Metrics when Evaluating Embeddings

Embedding data into vector spaces is a very popular strategy of pattern ...

Anguelos Nicolaou, et al. ∙

research

∙ 10/18/2017

The Robust Reading Competition Annotation and Evaluation Platform

The ICDAR Robust Reading Competition (RRC), initiated in 2003 and re-est...

Dimosthenis Karatzas, et al. ∙

research

∙ 05/24/2017

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...

Lluis Gómez, et al. ∙

research

∙ 04/10/2016

TextProposals: a Text-specific Selective Search Algorithm for Word Spotting in the Wild

Motivated by the success of powerful while expensive techniques to recog...

Lluis Gomez-Bigorda, et al. ∙

research

∙ 02/24/2016

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

This paper focuses on the problem of script identification in scene text...

Lluis Gómez, et al. ∙

research

∙ 02/24/2016

A fine-grained approach to scene text script identification

This paper focuses on the problem of script identification in unconstrai...

Lluis Gómez, et al. ∙

research

∙ 01/08/2016

Visual Script and Language Identification

In this paper we introduce a script identification method based on hand-...

Anguelos Nicolaou, et al. ∙

research

∙ 09/08/2015

Object Proposals for Text Extraction in the Wild

Object Proposals is a recent computer vision technique receiving increas...

Lluis Gómez, et al. ∙

research

∙ 04/23/2015

Sparse Radial Sampling LBP for Writer Identification

In this paper we present the use of Sparse Radial Sampling Local Binary ...

Anguelos Nicolaou, et al. ∙

research

∙ 07/28/2014

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...

Lluis Gómez, et al. ∙

Dimosthenis Karatzas

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