| Author |
Title  |
Year |
Publication |
Volume |
Pages |
| Cristhian A. Aguilera; Angel D. Sappa; Ricardo Toledo |
Cross-Spectral Local Descriptors via Quadruplet Network |
2017 |
In Sensors Journal |
Vol. 17 |
pp. 873 |
| 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) |
|
|
| Mildred Cruz; Cristhian A. Aguilera; Boris X. Vintimilla; Ricardo Toledo; Ángel D. Sappa |
Cross-spectral image registration and fusion: an evaluation study |
2015 |
2nd International Conference on Machine Vision and Machine Learning |
331 |
|
| Patricia L. Suarez; Angel D. Sappa; Boris X. Vintimilla |
Cross-spectral Image Patch Similarity using Convolutional Neural Network |
2017 |
2017 IEEE International Workshop of Electronics, Control, Measurement, Signals and their application to Mechatronics (ECMSM) |
|
1-5 |
| Patricia L. Suarez; Angel D. Sappa; Boris X. Vintimilla |
Cross-spectral image dehaze through a dense stacked conditional GAN based approach. |
2018 |
14th IEEE International Conference on Signal Image Technology & Internet based Systems (SITIS 2018) |
|
358-364 |
| 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 |
|
|
| 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 |
| M. Oliveira; L. Seabra Lopes; G. Hyun Lim; S. Hamidreza Kasaei; Angel D. Sappa; A. Tomé |
Concurrent Learning of Visual Codebooks and Object Categories in Open- ended Domains |
2015 |
Intelligent Robots and Systems (IROS), 2015 IEEE/RSJ International Conference on, Hamburg, Germany, 2015 |
|
2488 - 2495 |
| 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 |
| Roberto Jacome Galarza; Miguel-Andrés Realpe-Robalino; Chamba-Eras LuisAntonio; Viñán-Ludeña MarlonSantiago and Sinche-Freire Javier-Francisco |
Computer vision for image understanding. A comprehensive review |
2019 |
International Conference on Advances in Emerging Trends and Technologies (ICAETT 2019); Quito, Ecuador |
|
248-259 |
