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Kevin E. Munoz, Loberlly N. Salazar, Steven S. Araujo, and Boris X. Vintimilla |
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Title |
Stereo Vision Techniques: A Comparative Study of Traditional and Machine Learning-Based Approaches |
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Conference Article |
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2025 |
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5th International Conference on Computer Vision and Robotics CVR 2025 |
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no |
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Call Number |
cidis @ cidis @ |
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280 |
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Author |
Steven S. Araujo, Kevin E. Muñoz, Loberlly N. Salazar & Boris X. Vintimilla |

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Title |
Detecting and Characterizing Group Interactions Using 3D Spatial Data to Enhance Human-Robot Engagement |
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Conference Article |
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2025 |
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3rd International Conference on Robotics, Control and Vision Engineering RCVE 2025. Paris, Francia 1- 4 junio 2025 |
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26 - 34 |
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979-840071405-4 |
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no |
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cidis @ cidis @ |
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281 |
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Henry O. Velesaca & Angel D. Sappa |
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Title |
Seeing the unseen: AI-powered camouflaged pest detection |
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Conference Article |
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2025 |
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19th International Conference on Computer Graphics, Visualization, Computer Vision and Image Processing. Lisbon, Portugal 23 – 25 julio 2025 |
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137 - 144 |
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cidis @ cidis @ |
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284 |
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Patricia L. Suárez & Angel D. Sappa |
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Title |
Generative adversarial network: towards a robust near infrared image colorization |
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Conference Article |
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2025 |
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19th International Conference on Computer Graphics, Visualization, Computer Vision and Image Processing. Lisbon, Portugal, 23 – 25 julio 2025 |
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187 - 192 |
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no |
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cidis @ cidis @ |
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285 |
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Author |
Henry O. Velesaca & Angel D. Sappa |
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Title |
Enhancing Camouflaged Object Detection via Diffusion Model Augmentation |
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Conference Article |
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Year |
2025 |
Publication |
2nd International Workshop on Computer Vision for Environment Monitoring and Preservation of 23rd International Conference on Image Analysis and Processing (ICIAP 2025) |
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no |
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cidis @ cidis @ |
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286 |
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Author |
Henry O. Velesaca, Abel Reyes & Steven Araujo |
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Title |
S-amba: A Multi-View Foul Recognition in Soccer Through a Mamba-Based Approach |
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Conference Article |
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Year |
2025 |
Publication |
13th International Conference on Sport Sciences Research and Technology Support, IcSPORTS 2025. Marbella 20 – 21 Octubre 2025 |
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57 - 68 |
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no |
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Call Number |
cidis @ cidis @ |
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288 |
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Author |
Heny O. Velesaca, Andrea Mero, Anjali Singh, Angel Sappa |
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Title |
The Hidden Cost of Poor Annotations: How Label Quality Affects Camouflaged Object Detection Performance |
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Conference Article |
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Year |
2025 |
Publication |
20th International Symposium on Visual Computing (ISVC 2025) |
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no |
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Call Number |
cidis @ cidis @ |
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292 |
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Author |
Leo Ramos & Angel D. Sappa |
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Title |
A Decade of You Only Look Once (YOLO) for Object Detection: A Review |
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Journal Article |
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A Decade of You Only Look Once (YOLO) for Object Detection: A Review |
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no |
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Call Number |
cidis @ cidis @ |
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295 |
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Author |
P. Ricaurte; C. Chilán; C. A. Aguilera-Carrasco; B. X. Vintimilla; Angel D. Sappa |

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Title |
Performance Evaluation of Feature Point Descriptors in the Infrared Domain |
Type |
Conference Article |
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Year |
2014 |
Publication |
Computer Vision Theory and Applications (VISAPP), 2014 International Conference on, Lisbon, Portugal, 2013 |
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1 |
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545 -550 |
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Keywords |
Infrared Imaging, Feature Point Descriptors |
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This paper presents a comparative evaluation of classical feature point descriptors when they are used in the long-wave infrared spectral band. Robustness to changes in rotation, scaling, blur, and additive noise are evaluated using a state of the art framework. Statistical results using an outdoor image data set are presented together with a discussion about the differences with respect to the results obtained when images from the visible spectrum are considered. |
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IEEE |
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English |
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English |
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2014 International Conference on Computer Vision Theory and Applications (VISAPP) |
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no |
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Call Number |
cidis @ cidis @ |
Serial |
26 |
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| Permanent link to this record |
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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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Abstract |
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 @ |
Serial |
25 |
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