37 citations · 50 across the 5 of their papers we have counts for
5 papers
Boosting the Memory Window of Memristive Stacks via Engineered Interfaces with High Ionic Mobility
José Diogo Costa, Daniel Veira-Canle, Noa Varela-Domínguez +8
Realizing the potential of oxide-based memristive devices for high-density data storage and energy-efficient computing still relies on overcoming key technical challenges, includin…
Depth Estimation and Image Restoration by Deep Learning from Defocused Images
Saqib Nazir, Lorenzo Vaquero, Manuel Mucientes +2
Monocular depth estimation and image deblurring are two fundamental tasks in computer vision, given their crucial role in understanding 3D scenes. Performing any of them by relying…
Real-Time Siamese Multiple Object Tracker with Enhanced Proposals
Lorenzo Vaquero, Víctor M. Brea, Manuel Mucientes
Maintaining the identity of multiple objects in real-time video is a challenging task, as it is not always feasible to run a detector on every frame. Thus, motion estimation system…
Spatio-temporal Tubelet Feature Aggregation and Object Linking in Videos
Daniel Cores, Víctor M. Brea, Manuel Mucientes
This paper addresses the problem of how to exploit spatio-temporal information available in videos to improve the object detection precision. We propose a two stage object detector…
Deep Learning-Based Multiple Object Visual Tracking on Embedded System for IoT and Mobile Edge Computing Applications
Beatriz Blanco-Filgueira, Daniel García-Lesta, Mauro Fernández-Sanjurjo +2
Compute and memory demands of state-of-the-art deep learning methods are still a shortcoming that must be addressed to make them useful at IoT end-nodes. In particular, recent resu…