| |
Author |
Title |
Year |
Publication |
Volume  |
Pages |
Links |
|
|
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 |
|
|
|
Mehri, A, Ardakani, P.B., Sappa, A.D. |
LiNet: A Lightweight Network for Image Super Resolution |
2021 |
25th International Conference on Pattern Recognition (ICPR), enero 10-15, 2021 |
|
7196-7202 |
|
|
|
Jacome-Galarza L.-R |
Crop yield prediction utilizing multimodal deep learning |
2021 |
16th Iberian Conference on Information Systems and Technologies, CISTI 2021, junio 23 – 26, 2021 |
|
|
|
|
|
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 |
|
|
|
Luis Jacome-Galarza, Monica Villavicencio-Cabezas, Miguel Realpe-Robalino, Jose Benavides-Maldonado |
Software Engineering and Distributed Computing in image processing intelligent systems: a systematic literature review. |
2021 |
19th LACCEI International Multi-Conference for Engineering, Education, and Technology |
|
|
|
|
|
Pereira J., Mora M. & W. Agila |
Qualitative Model to Maximize Shrimp Growth at Low Cost |
2021 |
5th Ecuador Technical Chapters Meeting (ETCM 2021), Octubre 12 – 15 |
|
|
|
|
|
Patricia L. Suárez, Angel D. Sappa and Boris X. Vintimilla |
Deep learning-based vegetation index estimation |
2021 |
Generative Adversarial Networks for Image-to-Image Translation Book. |
Chapter 9 |
205-232 |
|
|
|
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 |
|
|
|
|
Michael Teutsch, Angel Sappa & Riad Hammoud |
Computer Vision in the Infrared Spectrum: Challenges and ApproachesComputer Vision in the Infrared Spectrum: Challenges and Approaches |
2021 |
Synthesis Lectures on Computer Vision |
Vol. 10 No. 2 |
pp. 138 |
|
|
|
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 |
|
