1 code implementation • 19 Jan 2021 • Sebastian Garcia-Valencia, Alejandro Betancourt, Juan G. Lalinde-Pulido
To train a machine learning model is necessary to take numerous decisions about many options for each process involved, in the field of sequence generation and more specifically of music composition, the nature of the problem helps to narrow the options but at the same time, some other options appear for specific challenges.
1 code implementation • 2 Dec 2020 • Sebastian Garcia-Valencia, Alejandro Betancourt, Juan G. Lalinde-Pulido
Automatic generation of sequences has been a highly explored field in the last years.
2 code implementations • 26 Mar 2020 • Pranav Agarwal, Alejandro Betancourt, Vana Panagiotou, Natalia Díaz-Rodríguez
In this paper, we attempt to show the biased nature of the currently existing image captioning models and present a new image captioning dataset, Egoshots, consisting of 978 real life images with no captions.
no code implementations • 9 Sep 2019 • Damian Campo, Alejandro Betancourt, Lucio Marcenaro, Carlo Regazzoni
This paper presents a methodology that aims at the incremental representation of areas inside environments in terms of attractive forces.
no code implementations • 21 Jul 2016 • Alejandro Betancourt, Pietro Morerio, Emilia Barakova, Lucio Marcenaro, Matthias Rauterberg, Carlo Regazzoni
Due to their favorable location, wearable cameras frequently capture the hands of the user, and may thus represent a promising user-machine interaction tool for different applications.
1 code implementation • 30 Mar 2016 • Alejandro Betancourt, Natalia Díaz-Rodríguez, Emilia Barakova, Lucio Marcenaro, Matthias Rauterberg, Carlo Regazzoni
Wearable cameras stand out as one of the most promising devices for the upcoming years, and as a consequence, the demand of computer algorithms to automatically understand the videos recorded with them is increasing quickly.
no code implementations • 4 Sep 2014 • Alejandro Betancourt, Pietro Morerio, Carlo S. Regazzoni, Matthias Rauterberg
The emergence of new wearable technologies such as action cameras and smart-glasses has increased the interest of computer vision scientists in the First Person perspective.