activity
20172024
most citedA selectional auto-encoder approach for document image binarization

171 citations · 291 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CY2024★ 20 cited

Identifying Student Profiles Within Online Judge Systems Using Explainable Artificial Intelligence

Juan Ramón Rico-Juan, Víctor M. Sánchez-Cartagena, Jose J. Valero-Mas +1

Online Judge (OJ) systems are typically considered within programming-related courses as they yield fast and objective assessments of the code developed by the students. Such an ev…

cs.LG2022★ 23 cited

Multilabel Prototype Generation for Data Reduction in k-Nearest Neighbour classification

Jose J. Valero-Mas, Antonio Javier Gallego, Pablo Alonso-Jiménez +1

Prototype Generation (PG) methods are typically considered for improving the efficiency of the -Nearest Neighbour (NN) classifier when tackling high-size corpora. Such approa…

cs.CV2022★ 30 cited

Efficient Gesture Recognition for the Assistance of Visually Impaired People using Multi-Head Neural Networks

Samer Alashhab, Antonio Javier Gallego, Miguel Ángel Lozano

This paper proposes an interactive system for mobile devices controlled by hand gestures aimed at helping people with visual impairments. This system allows the user to interact wi…

cs.CV2022★ 8 cited

Multi-Label Logo Recognition and Retrieval based on Weighted Fusion of Neural Features

Marisa Bernabeu, Antonio Javier Gallego, Antonio Pertusa

Classifying logo images is a challenging task as they contain elements such as text or shapes that can represent anything from known objects to abstract shapes. While the current s…

cs.CV2021

Two Heads are Better than One: Geometric-Latent Attention for Point Cloud Classification and Segmentation

Hanz Cuevas-Velasquez, Antonio Javier Gallego, Robert B. Fisher

We present an innovative two-headed attention layer that combines geometric and latent features to segment a 3D scene into semantically meaningful subsets. Each head combines local…

cs.CV2020★ 23 cited

Unsupervised Neural Domain Adaptation for Document Image Binarization

Francisco J. Castellanos, Antonio-Javier Gallego, Jorge Calvo-Zaragoza

Binarization is a well-known image processing task, whose objective is to separate the foreground of an image from the background. One of the many tasks for which it is useful is t…

cs.LG2020★ 2 cited

Incremental Unsupervised Domain-Adversarial Training of Neural Networks

Antonio-Javier Gallego, Jorge Calvo-Zaragoza, Robert B. Fisher

In the context of supervised statistical learning, it is typically assumed that the training set comes from the same distribution that draws the test samples. When this is not the…

cs.CV2017★ 171 cited

A selectional auto-encoder approach for document image binarization

Jorge Calvo-Zaragoza, Antonio-Javier Gallego

Binarization plays a key role in the automatic information retrieval from document images. This process is usually performed in the first stages of documents analysis systems, and…

cs.CV2017★ 14 cited

MirBot: A collaborative object recognition system for smartphones using convolutional neural networks

Antonio Pertusa, Antonio-Javier Gallego, Marisa Bernabeu

MirBot is a collaborative application for smartphones that allows users to perform object recognition. This app can be used to take a photograph of an object, select the region of…