no code implementations • 29 Jul 2020 • Javier de Pedro-Carracedo, David Fuentes-Jimenez, Ana M. Ugena, Ana P. Gonzalez-Marcos
In the first half of the 20th century, a first pulse oximeter was available to measure blood flow changes in the peripheral vascular net.
no code implementations • 14 Jul 2020 • David Fuentes-Jimenez, Cristina Losada-Gutierrez, David Casillas-Perez, Javier Macias-Guarasa, Roberto Martin-Lopez, Daniel Pizarro, Carlos A. Luna
This paper proposes a DNN-based system that detects multiple people from a single depth image.
no code implementations • 13 Jun 2020 • Adrian Sanchez-Caballero, David Fuentes-Jimenez, Cristina Losada-Gutiérrez
As in many other different fields, deep learning has become the main approach in most computer vision applications, such as scene understanding, object recognition, computer-human interaction or human action recognition (HAR).
no code implementations • 13 Jun 2020 • Adrian Sanchez-Caballero, Sergio de López-Diz, David Fuentes-Jimenez, Cristina Losada-Gutiérrez, Marta Marrón-Romera, David Casillas-Perez, Mohammad Ibrahim Sarker
Human actions recognition is a fundamental task in artificial vision, that has earned a great importance in recent years due to its multiple applications in different areas.
2 code implementations • 1 Jun 2020 • David Fuentes-Jimenez, Roberto Martin-Lopez, Cristina Losada-Gutierrez, David Casillas-Perez, Javier Macias-Guarasa, Daniel Pizarro, Carlos A. Luna
In this paper we propose a method based on deep learning that detects multiple people from a single overhead depth image with high reliability.
no code implementations • 19 Nov 2018 • David Fuentes-Jimenez, David Casillas-Perez, Daniel Pizarro, Toby Collins, Adrien Bartoli
Compared to previous non-DNN SfT methods, it does not involve numerical optimization at run-time, and is a dense, wide-baseline solution that does not demand, and does not suffer from, feature-based matching.