| |
Author |
Title |
Year |
Publication  |
Volume |
Pages |
Links |
|
|
Cristhian A. Aguilera; Cristhian Aguilera; Angel D. Sappa |
Melamine faced panels defect classification beyond the visible spectrum. |
2018 |
In Sensors 2018 |
Vol. 11 |
|
|
|
|
Victor Santos; Angel D. Sappa; Miguel Oliveira |
Special Issue on Autonomous Driving an Driver Assistance Systems |
2017 |
In Robotics and Autonomous Systems Journal |
Vol. 91 |
pp. 208-209 |
|
|
|
Santos V.; Angel D. Sappa.; Oliveira M. & de la Escalera A. |
Special Issue on Autonomous Driving and Driver Assistance Systems |
2019 |
In Robotics and Autonomous Systems |
121 |
|
|
|
|
Rubio, G.A., Agila, W.E |
A fuzzy model to manage water in polymer electrolyte membrane fuel cells |
2021 |
In Processes Journal. (Article number 904) |
Vol. 9 |
|
|
|
|
Santos, V., Sappa, A.D., Oliveira, M. & de la Escalera, A. |
Editorial: Special Issue on Autonomous Driving and Driver Assistance Systems – Some Main Trends |
2021 |
In Journal: Robotics and Autonomous Systems. (Article number 103832) |
Vol. 144 |
|
|
|
|
Patricia Súarez, Henry Velesaca, Dario Carpio & Angel Sappa |
Corn Kernel Classification From Few Training Samples |
2023 |
In journal Artificial Intelligence in Agriculture |
Vol. 9 |
pp. 89-99 |
|
|
|
Charco, J.L., Sappa, A.D., Vintimilla, B.X., Velesaca, H.O. |
Camera pose estimation in multi-view environments:from virtual scenarios to the real world |
2021 |
In Image and Vision Computing Journal. (Article number 104182) |
Vol. 110 |
|
|
|
|
Rivadeneira R.E., Sappa A.D., Vintimilla B.X., Nathan S., Kansal P., Mehri A et al. |
Thermal Image Super-Resolution Challenge – PBVS 2021. |
2021 |
In IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2021., junio 19 – 25, 2021 |
|
4354-4362 |
|
|
|
Mehri, A, Ardakani, P.B., Sappa, A.D. |
MPRNet: Multi-Path Residual Network for Lightweight Image Super Resolution. |
2021 |
In IEEE Winter Conference on Applications of Computer Vision WACV 2021, enero 5-9, 2021 |
|
2703-2712 |
|
|
|
Suárez P. |
Processing and Representation of Multispectral Images Using Deep Learning Techniques |
2021 |
In Electronic Letters on Computer Vision and Image Analysis |
Vol. 19 |
pp. 5-8 |
|
