Author  |
Title |
Year |
Publication |
Volume |
Pages |
| Ramos, Leo Thomas & Sappa, Angel D. |
A comprehensive analysis of YOLO architectures for tomato leaf disease identification |
2025 |
Scientific Reports |
Vol. 15 |
|
| Rangnekar,Aneesha; Mulhollan,Zachary; Vodacek,Anthony; Hoffman,Matthew; Sappa,Angel D.; Yu,Jun et al. |
Semi-Supervised Hyperspectral Object Detection Challenge Results-PBVS 2022. |
2022 |
Conference on Computer Vision and Pattern Recognition Workshops, (CVPRW 2022), junio 19-24. |
2022-June |
389-397 |
| Rato D., Oliveira M., Santos V., Sappa A. & Raducanu B. |
Multi-View 2D to 3D Lifting Video-Based Optimization: A Robust Approach for Human Pose Estimation with Occluded Joint Prediction |
2024 |
IEEE Int. Conf. on Intelligent Robots and Systems (IROS), Abu Dhabi, October 14-18, 2024 |
|
|
| Raul A. Mira; Patricia L. Suarez; Rafael E. Rivadeneira; Angel D. Sappa |
PETRA: A Crowdsourcing-Based Platform for Rocks Data Collection and Characterization |
2019 |
IEEE ETCM 2019 Fourth Ecuador Technical Chapters Meeting; Guayaquil, Ecuador |
|
1-6 |
| Ricardo Cajo; Wilton Agila |
Evaluation of algorithms for linear and nonlinear PID control for Twin Rotor MIMO System |
2015 |
Computer Aided System Engineering (APCASE), 2015 Asia-Pacific Conference on, Quito, 2015 |
|
214-219 |
| Ricaurte P; Chilán C; Cristhian A. Aguilera; Boris X. Vintimilla; Angel D. Sappa |
Feature Point Descriptors: Infrared and Visible Spectra |
2014 |
Sensors Journal |
Vol. 14 |
pp. 3690-3701 |
| 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 |
| Rivadeneira, Rafael E.; Sappa, Angel D. and Vintimilla Boris X. |
Thermal Image Super-Resolution: A Novel Unsupervised Approach. |
2022 |
Communications in Computer and Information Science, 15th International Communications in Computer and Information Science Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications |
1474 |
495-506 |
| Roberto Jacome Galarza. |
Multimodal deep learning for crop yield prediction. |
2022 |
Doctoral Symposium on Information and Communication Technologies –DSICT 2022. Octubre 12-14. |
1647 |
106-117 |
| 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 |
