Author |
Title |
Year |
Publication |
Volume |
Pages |
Cristhian A. Aguilera; Francisco J. Aguilera; Angel D. Sappa; Ricardo Toledo |
Learning crossspectral similarity measures with deep convolutional neural networks |
2016 |
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) Workshops |
|
267-275 |
Patricia L. Suárez, Angel D. Sappa, Boris X. Vintimilla |
Cycle generative adversarial network: towards a low-cost vegetation index estimation |
2021 |
IEEE International Conference on Image Processing (ICIP 2021) |
2021-September |
2783-2787 |
Steven Silva, Nervo Verdezoto, Dennys Paillacho, Samuel Millan-Norman & Juan David Hernandez |
Online Social Robot Navigation in Indoor, Large and Crowded Environments. |
2023 |
IEEE International Conference on Robotics and Automation (ICRA 2023) |
2023-May |
9749 - 9756 |
Patricia Suarez, Angel D. Sappa |
A Generative Model for Guided Thermal Image Super-Resolution |
2024 |
In 19th International Conference on Computer Vision Theory and Applications VISAPP 2024 |
|
|
Tyrone Rodríguez, Adriana Guilindro, Paolo Piedrahita & Miguel Realpe |
Towards Birds Conservation in Dry Forest Ecosystems through Audio Recognition via Deep Learning |
2024 |
In 9th International Congress on Information and Communication Technology ICICT 2024 |
|
|
Velesaca, H.O., Suárez, P. L., Mira, R., & Sappa, A.D. |
Computer Vision based Food Grain Classification: a Comprehensive Survey |
2021 |
In Computers and Electronics in Agriculture Journal. (Article number 106287) |
Vol. 187 |
|
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 |
Patricia Suarez & Angel D. Sappa |
Haze-Free Imaging through Haze-Aware Transformer Adaptations |
2024 |
In Fourth International Conference on Innovations in Computational Intelligence and Computer Vision (ICICV 2024) |
|
|
Rafael Rivadeneira, Henry Velesaca & Angel Sappa |
Cross-Spectral Image Registration: a Comparative Study and a New Benchmark Dataset |
2024 |
In Fourth International Conference on Innovations in Computational Intelligence and Computer Vision (ICICV 2024) |
|
|
Henry Velesaca, Boris Vintimilla, Jorge Vulgarin, Coen Antens & Alberto Rubio Pérez |
Deep Learning-based Multimodal Sensing Framework for AntiSpoofing Systems |
2024 |
In Fourth International Conference on Innovations in Computational Intelligence and Computer Vision (ICICV 2024) |
|
|