| Records |
| Author |
Gisel Bastidas-Guacho, Patricio Moreno-Vallejo, Boris Vintimilla, Angel D. Sappa |
| Title |
Application on the Loop of Multimodal Image Fusion: Trends on Deep-Learning Based Approaches |
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Conference Article |
| Year |
2023 |
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IEEE 13th International Conference on Pattern Recognition Systems (ICPRS 2023) Guayaquil, 4-7 julio 2023 |
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979-835033337-4 |
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no |
| Call Number |
cidis @ cidis @ |
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213 |
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| Author |
Pabelco Zambrano, Fernanda Calderon, Héctor Villegas, Jonathan Paillacho, Doménica Pazmiño, Miguel Realpe |
| Title |
UAV Remote Sensing applications and current trends in crop monitoring and diagnostics: A Systematic Literature Review |
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Conference Article |
| Year |
2023 |
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IEEE 13th International Conference on Pattern Recognition Systems (ICPRS) 2023, 4-7 julio 2023 |
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979-835033337-4 |
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no |
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cidis @ cidis @ |
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214 |
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| Author |
Boris Vintimilla, Jorge Vulgarin, Henry Velesaca |
| Title |
Deep Learning-based Human Height Estimation from a Stereo Vision System |
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Conference Article |
| Year |
2023 |
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IEEE 13th International Conference on Pattern Recognition Systems (ICPRS) 2023, 4-7 julio 2023 |
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979-835033337-4 |
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no |
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cidis @ cidis @ |
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215 |
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| Author |
Miguel Realpe; Boris X. Vintimilla; L. Vlacic |
| Title |
Towards Fault Tolerant Perception for autonomous vehicles: Local Fusion. |
Type |
Conference Article |
| Year |
2015 |
Publication |
IEEE 7th International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM), Siem Reap, 2015. |
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253-258 |
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Many robust sensor fusion strategies have been developed in order to reliably detect the surrounding environments of an autonomous vehicle. However, in real situations there is always the possibility that sensors or other components may fail. Thus, internal modules and sensors need to be monitored to ensure their proper function. This paper introduces a general view of a perception architecture designed to detect and classify obstacles in an autonomous vehicle's environment using a fault tolerant framework, whereas elaborates the object detection and local fusion modules proposed in order to achieve the modularity and real-time process required by the system. |
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no |
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cidis @ cidis @ |
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37 |
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| Author |
Armin Mehri; Parichehr Behjati; Angel Domingo Sappa |
| Title |
TnTViT-G: Transformer in Transformer Network for Guidance Super Resolution. |
Type |
Journal Article |
| Year |
2023 |
Publication |
IEEE Access |
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| Volume |
Vol. 11 |
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pp. 11529-11540 |
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21693536 |
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no |
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cidis @ cidis @ |
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207 |
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| Author |
Armin Mehri, Parichehr Behjati, Dario Carpio, and Angel D. Sappa |
| Title |
SRFormer: Efficient Yet Powerful Transformer Network For Single Image Super Resolution |
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Journal Article |
| Year |
2023 |
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IEEE access |
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Vol. 11 |
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121457 - 121469 |
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21693536 |
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no |
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cidis @ cidis @ |
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227 |
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| Author |
Xavier Soria , Gonzalo Pomboza-Junez & Angel Sappa. |
| Title |
LDC: Lightweight Dense CNN for Edge Detection. |
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Journal Article |
| Year |
2022 |
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IEEE Access journal |
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Vol. 10 |
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pp. 68281-68290 |
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yes |
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cidis @ cidis @ |
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183 |
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| Author |
Lukas Danev; Marten Hamann; Nicolas Fricke; Tobias Hollarek; Dennys Paillacho |
| Title |
Development of animated facial expression to express emotions in a robot: RobotIcon. |
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Conference Article |
| Year |
2017 |
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IEEE Ecuador Technical Chapter Meeting (ETCM) |
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2017-January |
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1-6 |
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gtsi @ user @ |
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71 |
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| Author |
Milton Mendieta; F. Panchana; B. Andrade; B. Bayot; C. Vaca; Boris X. Vintimilla; Dennis G. Romero |
| Title |
Organ identification on shrimp histological images: A comparative study considering CNN and feature engineering. |
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Conference Article |
| Year |
2018 |
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IEEE Ecuador Technical Chapters Meeting ETCM 2018. Cuenca, Ecuador |
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1-6 |
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The identification of shrimp organs in biology using
histological images is a complex task. Shrimp histological images
poses a big challenge due to their texture and similarity among
classes. Image classification by using feature engineering and
convolutional neural networks (CNN) are suitable methods to
assist biologists when performing organ detection. This work
evaluates the Bag-of-Visual-Words (BOVW) and Pyramid-Bagof-
Words (PBOW) models for image classification leveraging big
data techniques; and transfer learning for the same classification
task by using a pre-trained CNN. A comparative analysis
of these two different techniques is performed, highlighting
the characteristics of both approaches on the shrimp organs
identification problem. |
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no |
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gtsi @ user @ |
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87 |
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| Author |
Raul A. Mira; Patricia L. Suarez; Rafael E. Rivadeneira; Angel D. Sappa |
| Title |
PETRA: A Crowdsourcing-Based Platform for Rocks Data Collection and Characterization |
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Conference Article |
| Year |
2019 |
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IEEE ETCM 2019 Fourth Ecuador Technical Chapters Meeting; Guayaquil, Ecuador |
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1-6 |
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This paper presents details of a distributed platform intended for data acquisition, evaluation, storage and visualization, which is fully implemented under the crowdsourcing paradigm. The proposed platform is the result from collaboration between computer science and petrology researchers and it is intended for academic purposes. The platform is designed within a MTV (Model, Template and View) architecture and also designed for a collaborative data store and managing of rocks from multiple readers and writers, taking advantage of ubiquity of web applications, and neutrality of researchers from different
communities to validate the data. The platform is being used and validated by students and academics from our university; in the near future it will be open to other users interested on this topic. |
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gtsi @ user @ |
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112 |
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