1 code implementation • 26 Jul 2023 • Daniel Deniz, Cornelia Fermuller, Eduardo Ros, Manuel Rodriguez-Alvarez, Francisco Barranco
In this study, we introduce an event-based dataset on fine-grained manipulation actions and perform an experimental study on the use of transformers for action prediction with events.
1 code implementation • 13 Feb 2023 • Javier Cuadrado, Ulysse Rançon, Benoît Cottereau, Francisco Barranco, Timothée Masquelier
Event-based sensors are an excellent fit for Spiking Neural Networks (SNNs), since the coupling of an asynchronous sensor with neuromorphic hardware can yield real-time systems with minimal power requirements.
no code implementations • 29 Nov 2020 • Juan Isern, Francisco Barranco, Daniel Deniz, Juho Lesonen, Jari Hannuksela, Richard R. Carrillo
Automated surveillance is essential for the protection of Critical Infrastructures (CIs) in future Smart Cities.
no code implementations • 7 Oct 2020 • Daniel Deniz, Francisco Barranco, Juan Isern, Eduardo Ros
Reconfiguration reduces up to 22% the local nodes energy consumption extending the device operating time, preserving similar accuracy with respect to the alternative with no reconfiguration.
no code implementations • 8 Jul 2018 • Francisco Barranco, Cornelia Fermuller, Eduardo Ros
The potential of our approach is demonstrated in a multi-target tracking application using Kalman filters to smooth the trajectories.
no code implementations • 17 May 2018 • Francisco Barranco, Cornelia Fermüller, Yiannis Aloimonos, Eduardo Ros
Conventional image motion based structure from motion methods first compute optical flow, then solve for the 3D motion parameters based on the epipolar constraint, and finally recover the 3D geometry of the scene.
no code implementations • 3 Oct 2016 • Cornelia Fermüller, Fang Wang, Yezhou Yang, Konstantinos Zampogiannis, Yi Zhang, Francisco Barranco, Michael Pfeiffer
In psychophysical experiments, we evaluated human observers' skills in predicting actions from video sequences of different length, depicting the hand movement in the preparation and execution of actions before and after contact with the object.
no code implementations • ICCV 2015 • Francisco Barranco, Ching L. Teo, Cornelia Fermuller, Yiannis Aloimonos
The bio-inspired, asynchronous event-based dynamic vision sensor records temporal changes in the luminance of the scene at high temporal resolution.