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Author  |
Juan A. Carvajal; Dennis G. Romero; Angel D. Sappa | ||||
| Title | Fine-tuning deep convolutional networks for lepidopterous genus recognition | Type | Journal Article | ||
| Year | 2017 | Publication | Lecture Notes in Computer Science | Abbreviated Journal | |
| Volume | Vol. 10125 LNCS | Issue | Pages | pp. 467-475 | |
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| Notes | Approved | no | |||
| Call Number | gtsi @ user @ | Serial | 63 | ||
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| Author |
Low S., Inkawhich N., Nina O., Sappa A. and Blasch E. | ||||
| Title | Multi-modal Aerial View Object Classification Challenge Results-PBVS 2022. | Type | Conference Article | ||
| Year | 2022 | Publication | Conference on Computer Vision and Pattern Recognition Workshops, (CVPRW 2022), junio 19-24. | Abbreviated Journal | CONFERENCE |
| Volume | 2022-June | Issue | Pages | 417-425 | |
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| Abstract | This paper details the results and main findings of the second iteration of the Multi-modal Aerial View Object Classification (MAVOC) challenge. This year’s MAVOC challenge is the second iteration. The primary goal of both MAVOC challenges is to inspire research into methods for building recognition models that utilize both synthetic aperture radar (SAR) and electro-optical (EO) input modalities. Teams are encouraged/challenged to develop multi-modal approaches that incorporate complementary information from both domains. While the 2021 challenge showed a proof of concept that both modalities could be used together, the 2022 challenge focuses on the detailed multi-modal models. Using the same UNIfied COincident Optical and Radar for recognitioN (UNICORN) dataset and competition format that was used in 2021. Specifically, the challenge focuses on two techniques, (1) SAR classification and (2) SAR + EO classification. The bulk of this document is dedicated to discussing the top performing methods and describing their performance on our blind test set. Notably, all of the top ten teams outperform our baseline. For SAR classification, the top team showed a 129% improvement over our baseline and an 8% average improvement from the 2021 winner. The top team for SAR + EO classification shows a 165% improvement with a 32% average improvement over 2021. |
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| Call Number | cidis @ cidis @ | Serial | 177 | ||
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| Author |
Luis C. Herrera, Leslie del R. Lima, Nayeth I. Solorzano, Jonathan S. Paillacho & Dennys Paillacho. | ||||
| Title | Metrics Design of Usability and Behavior Analysis of a Human-Robot-Game Platform. | Type | Conference Article | ||
| Year | 2021 | Publication | The 2nd International Conference on Applied Technologies (ICAT 2020), diciembre 2-4. Communication in Computer and Information Science | Abbreviated Journal | |
| Volume | 1388 | Issue | Pages | 164-178 | |
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| Call Number | cidis @ cidis @ | Serial | 191 | ||
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| Author |
Luis Chuquimarca, Boris Vintimilla & Sergio Velastin | ||||
| Title | Banana Ripeness Level Classification using a Simple CNN Model Trained with Real and Synthetic Datasets. | Type | Conference Article | ||
| Year | 2023 | Publication | Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications VISIGRAPP 2023 | Abbreviated Journal | |
| Volume | Issue | Pages | 536 - 543 | ||
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| Call Number | cidis @ cidis @ | Serial | 202 | ||
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Luis Chuquimarca, Renzo Pacheco, Paula Gonzalez, Boris Vintimilla & Sergio Velastin | ||||
| Title | Fruit defect detection using CNN models with real and virtual data. | Type | Conference Article | ||
| Year | 2023 | Publication | Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications VISIGRAPP 2023 | Abbreviated Journal | |
| Volume | Issue | Pages | 272 - 279 | ||
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| Call Number | cidis @ cidis @ | Serial | 203 | ||
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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. | Type | Conference Article | ||
| Year | 2017 | Publication | IEEE Ecuador Technical Chapter Meeting (ETCM) | Abbreviated Journal | |
| Volume | 2017-January | Issue | Pages | 1-6 | |
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| Call Number | gtsi @ user @ | Serial | 71 | ||
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| Author |
Ma. Paz Velarde; Erika Perugachi; Dennis G. Romero; Ángel D. Sappa; Boris X. Vintimilla | ||||
| Title | Análisis del movimiento de las extremidades superiores aplicado a la rehabilitación física de una persona usando técnicas de visión artificial. | Type | Journal Article | ||
| Year | 2015 | Publication | Revista Tecnológica ESPOL-RTE | Abbreviated Journal | |
| Volume | Vol. 28 | Issue | Pages | pp. 1-7 | |
| Keywords | Rehabilitation; RGB-D Sensor; Computer Vision; Upper limb | ||||
| Abstract | Comúnmente durante la rehabilitación física, el diagnóstico dado por el especialista se basa en observaciones cualitativas que sugieren, en algunos casos, conclusiones subjetivas. El presente trabajo propone un enfoque cuantitativo, orientado a servir de ayuda a fisioterapeutas, a través de una herramienta interactiva y de bajo costo que permite medir los movimientos de miembros superiores. Estos movimientos son capturados por un sensor RGB-D y procesados mediante la metodología propuesta, dando como resultado una eficiente representación de movimientos, permitiendo la evaluación cuantitativa de movimientos de los miembros superiores. | ||||
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| Publisher | ESPOL | Place of Publication | Editor | ||
| Language | English | Summary Language | English | Original Title | |
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| Notes | Approved | no | |||
| Call Number | cidis @ cidis @ | Serial | 39 | ||
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| Author |
Marjorie Chalen; Boris X. Vintimilla | ||||
| Title | Towards Action Prediction Applying Deep Learning | Type | Journal Article | ||
| Year | 2019 | Publication | Latin American Conference on Computational Intelligence (LA-CCI); Guayaquil, Ecuador; 11-15 Noviembre 2019 | Abbreviated Journal | |
| Volume | Issue | Pages | pp. 1-3 | ||
| Keywords | action prediction, early recognition, early detec- tion, action anticipation, cnn, deep learning, rnn, lstm. | ||||
| Abstract | Considering the incremental development future action prediction by video analysis task of computer vision where it is done based upon incomplete action executions. Deep learning is playing an important role in this task framework. Thus, this paper describes recently techniques and pertinent datasets utilized in human action prediction task. | ||||
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| Call Number | cidis @ cidis @ | Serial | 129 | ||
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| Author |
Marta Diaz; Dennys Paillacho; Cecilio Angulo | ||||
| Title | Evaluating Group-Robot Interaction in Crowded Public Spaces: A Week-Long Exploratory Study in the Wild with a Humanoid Robot Guiding Visitors Through a Science Museum. | Type | Journal Article | ||
| Year | 2015 | Publication | International Journal of Humanoid Robotics | Abbreviated Journal | |
| Volume | Vol. 12 | Issue | Pages | ||
| Keywords | Group-robot interaction; robotic-guide; social navigation; space management; spatial formations; group walking behavior; crowd behavior | ||||
| Abstract | This paper describes an exploratory study on group interaction with a robot-guide in an open large-scale busy environment. For an entire week a humanoid robot was deployed in the popular Cosmocaixa Science Museum in Barcelona and guided hundreds of people through the museum facilities. The main goal of this experience is to study in the wild the episodes of the robot guiding visitors to a requested destination focusing on the group behavior during displacement. The walking behavior follow-me and the face to face communication in a populated environment are analyzed in terms of guide- visitors interaction, grouping patterns and spatial formations. Results from observational data show that the space configurations spontaneously formed by the robot guide and visitors walking together did not always meet the robot communicative and navigational requirements for successful guidance. Therefore additional verbal and nonverbal prompts must be considered to regulate effectively the walking together and follow-me behaviors. Finally, we discuss lessons learned and recommendations for robot’s spatial behavior in dense crowded scenarios. | ||||
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| Publisher | International Journal of Humanoid Robotics | Place of Publication | Editor | ||
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| Notes | Approved | no | |||
| Call Number | cidis @ cidis @ | Serial | 34 | ||
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| Author |
Mehri, A, Ardakani, P.B., Sappa, A.D. | ||||
| Title | LiNet: A Lightweight Network for Image Super Resolution | Type | Conference Article | ||
| Year | 2021 | Publication | 25th International Conference on Pattern Recognition (ICPR), enero 10-15, 2021 | Abbreviated Journal | |
| Volume | Issue | Pages | 7196-7202 | ||
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| Call Number | cidis @ cidis @ | Serial | 149 | ||
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