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218 |
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Author |
A. Amato; F. Lumbreras; Angel D. Sappa |
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Title |
A general-purpose crowdsourcing platform for mobile devices |
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2014 |
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Computer Vision Theory and Applications (VISAPP), 2014 International Conference on, Lisbon, Portugal, 2014 |
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3 |
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211-215 |
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Crowdsourcing Platform, Mobile Crowdsourcing |
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This paper presents details of a general purpose micro-taskon-demand platform based on the crowdsourcing philosophy. This platformwas specifically developed for mobile devices in order to exploit the strengths of such devices; namely: i) massivity, ii) ubiquityand iii) embedded sensors.The combined use of mobile platforms and the crowdsourcing model allows to tackle from the simplest to the most complex tasks.Users experience is the highlighted feature of this platform (this fact is extended to both task-proposer and task- solver).Proper tools according with a specific task are provided to a task-solver in order to perform his/her job in a simpler, faster and appealing way.Moreover, a task can be easily submitted by just selecting predefined templates, which cover a wide range of possible applications.Examples of its usage in computer vision and computer games are provided illustrating the potentiality of the platform. |
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IEEE |
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Lisbon, Portugal |
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English |
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English |
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Computer Vision Theory and Applications (VISAPP), 2014 International Conference on |
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no |
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cidis @ cidis @ |
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25 |
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Abel Rubio, Wilton Agila, Leandro Gonzalez, Maria Ramirez, Herman Pineda |
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Title |
A Critical Analysis of the Impact of the Pandemic on Sustainable Energy Scenarios |
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2023 |
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11th International Conference On Smart Grid ICSMARTGRID 2023, junio 4-7 |
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979-835031066-5 |
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no |
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cidis @ cidis @ |
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209 |
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Author |
Alex Ferrin; Julio Larrea; Miguel Realpe; Daniel Ochoa |
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Title |
Detection of utility poles from noisy Point Cloud Data in Urban environments. |
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2018 |
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Artificial Intelligence and Cloud Computing Conference (AICCC 2018) |
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53-57 |
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In recent years 3D urban maps have become more common, thus providing complex point clouds that include diverse urban furniture such as pole-like objects. Utility poles detection in urban environment is of particular interest for electric utility companies in order to maintain an updated inventory for better planning and management. The present study develops an automatic method for the detection of utility poles from noisy point cloud data of Guayaquil – Ecuador, where many poles are located next to buildings, or houses are built until the border of the sidewalk getting very close to poles, which increases the difficulty of discriminating poles, walls, columns, fences and building corners. |
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gtsi @ user @ |
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94 |
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Author |
Angel D. Sappa, Patricia L. Suárez, Henry O. Velesaca, Darío Carpio |
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Title |
Domain adaptation in image dehazing: exploring the usage of images from virtual scenarios. |
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2022 |
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16th International Conference on Computer Graphics, Visualization, Computer Vision and Image Processing (CGVCVIP 2022), julio 20-22 |
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85-92 |
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no |
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cidis @ cidis @ |
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182 |
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Author |
Angel J. Valencia; Roger M. Idrovo; Angel D. Sappa; Douglas Plaza G.; Daniel Ochoa |
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Title |
A 3D Vision Based Approach for Optimal Grasp of Vacuum Grippers |
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2017 |
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2017 IEEE International Workshop of Electronics, Control, Measurement, Signals and their application to Mechatronics (ECMSM) |
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1-6 |
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no |
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cidis @ cidis @ |
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60 |
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Author |
Angel Morera; Angel Sánchez; Angel D. Sappa; José F. Vélez |
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Title |
Robust Detection of Outdoor Urban Advertising Panels in Static Images. |
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2019 |
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17th International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS 2019); Ávila, España. Communications in Computer and Information Science |
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1047 |
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246-256 |
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One interesting publicity application for Smart City environments is recognizing brand information contained in urban advertising
panels. For such a purpose, a previous stage is to accurately detect and
locate the position of these panels in images. This work presents an effective solution to this problem using a Single Shot Detector (SSD) based
on a deep neural network architecture that minimizes the number of
false detections under multiple variable conditions regarding the panels and the scene. Achieved experimental results using the Intersection
over Union (IoU) accuracy metric make this proposal applicable in real
complex urban images. |
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gtsi @ user @ |
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107 |
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Author |
Angely Oyola; Dennis G. Romero; Boris X. Vintimilla |
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A Dijkstra-based algorithm for selecting the Shortest-Safe Evacuation Routes in dynamic environments (SSER) |
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2017 |
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The 30th International Conference on Industrial, Engineering, Other Applications of Applied Intelligent Systems (IEA/AIE 2017) |
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131-135 |
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no |
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cidis @ cidis @ |
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55 |
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Author |
Armin Mehri; Angel D. Sappa |
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Title |
Colorizing Near Infrared Images through a Cyclic Adversarial Approach of Unpaired Samples |
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2019 |
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Conference on Computer Vision and Pattern Recognition Workshops (CVPR 2019); Long Beach, California, United States |
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971-979 |
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This paper presents a novel approach for colorizing
near infrared (NIR) images. The approach is based on
image-to-image translation using a Cycle-Consistent adversarial network for learning the color channels on unpaired dataset. This architecture is able to handle unpaired datasets. The approach uses as generators tailored
networks that require less computation times, converge
faster and generate high quality samples. The obtained results have been quantitatively—using standard evaluation
metrics—and qualitatively evaluated showing considerable
improvements with respect to the state of the art |
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gtsi @ user @ |
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105 |
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Author |
Benítez-Quintero J., Quevedo-Pinos O., Calderon, Fernanda |
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Title |
Notes on Sulfur Fluxes in Urban Areas with Industrial Activity |
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2022 |
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20th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology, LACCEI 2022, |
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2022-July |
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cidis @ cidis @ |
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201 |
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