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Publications generated in the project

Exportar 51 resultados:
Autor [ Título(Asc)] Tipo Año
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M. Adeel, Tejedor, J., Macias-Guarasa, J., y Zhu, K., «Undiscovered issues and solutions for direct detected ϕ-OTDR systems», Optical Fiber Technology, vol. 60, p. 102346, 2020.
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J. Vera-Diaz, Pizarro, D., y Macias-Guarasa, J., «Towards End-to-End Acoustic Localization Using Deep Learning: From Audio Signals to Source Position Coordinates», Sensors, vol. 18, n.º 10, pp. 1-22, 2018.
J. Manuel Vera-Diaz, Pizarro, D., y Macias-Guarasa, J., «Towards Domain Independence in CNN-based Acoustic Localization using Deep Cross Correlations», in 2020 28th European Signal Processing Conference (EUSIPCO), Amsterdam, Netherlands, 2021, pp. 226 - 230.
J. Tejedor, Macias-Guarasa, J., Martins, H. F., Piote, D., Pastor-Graells, J., Martin-Lopez, S., Corredera, P., de Pauw, G., De Smet, F., Postvoll, W., Ahlen, C. H., y Gonzalez-Herraez, M., «Towards detection of Pipeline Integrity Threats using a SmarT fiber-OPtic surveillance system: PIT-STOP project Blind Field Test results», in 2016 International Conference on Optical Fibre Sensors (OFS25), Jeju, Korea, 2017, pp. 1-4.
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A. Carlos Cob-Parro, Gutiérrez, C. Losada, Marron-Romera, M., Gardel-Vicente, A., y Bravo-Muñoz, I., «Smart Video Surveillance System Based on Edge Computing», Sensors, vol. 2136843, n.º 9, p. 2958, 2021.
M. Ibrahim Sarker, Losada-Gutierrez, C., Marron-Romera, M., Fuentes-Jimenez, D., y Luengo-Sánchez, S., «Semi-Supervised Anomaly Detection in Video-Surveillance Scenes in the Wild», Sensors, vol. 219275000, n.º 12, p. 3993, 2021.
M. Adeel, Tejedor, J., Macias-Guarasa, J., Shang, C., y Lu, C., «Segregating the true perturbation position from ghost energy points region in ϕ-OTDR systems», Optics Express, vol. 28, n.º 3, pp. 2699-2713, 2020.
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M. Baptista-Rios, Marron-Romera, M., Losada-Gutierrez, C., Lozano, J. Angel Cruz, y del Abril, A., «Robust system for partially occluded people detection in RGB images», in 12th International Conference on Computer Vision Theory and Applications., 2017, pp. 532-539.
C. A. Luna, Losada-Gutierrez, C., Fuentes-Jimenez, D., Fernandez-Rincon, A., Mazo, M., y Macias-Guarasa, J., «Robust People Detection Using Depth Information from an Overhead Time-of-Flight Camera», Expert Systems with Applications, vol. 71, pp. 240-256, 2017.
A. Fernandez-Rincon, Fuentes-Jimenez, D., Losada-Gutierrez, C., Marron-Romera, M., Luna, C. A., Macias-Guarasa, J., y Mazo, M., «Robust People Detection and Tracking from an overhead Time-of-Flight Camera», in 12th International Conference on Computer Vision Theory and Applications., Porto, Portugal, 2017, pp. 556-564.
I. Suárez, Buenaposada, J. M., Baumela, L., y Suárez, I., «Revisiting Binary Local Image Description for Resource Limited Devicessupp1-3107024.mp4», IEEE Robotics and Automation Letters, vol. 6, n.º 4, pp. 8317 - 8324, 2021.
S. Luengo-Sánchez, Luna, C. A., Losada-Gutierrez, C., y Quintas, M. Mazo, «Re-identificación de personas utilizando únicamente información de profundidad», Revista telemática, vol. 18, n.º 3, 2019.
S. Luengo Sánchez, Vázquez, C. Andrés Lu, Gutiérrez, C. Losada, y Quintas, M. Mazo, «Re-identificación de personas utilizando únicamente información de profundidad», in X Congreso Internacional de Telemática y Telecomunicaciones (CITTEL 2018) , 2018.
S. López Diz, Gutiérrez, C. Losada, Romera, M. Marrón, Vázquez, C. Andrés Lu, y Quintas, M. Mazo, «Re-identificación de personas en entornos interiores sin restricciones», in X Congreso Internacional de Telemática y Telecomunicaciones (CITTEL 2018) , 2018.
M. Carmen Pérez-Rubio, Losada-Gutierrez, C., Espinosa, F., Macias-Guarasa, J., Tiemann, J., Eckermann, F., Wietfeld, C., Katkov, M., Huba, S., Ureña, J., Villadangos, J. Manuel, Gualda, D., Díaz, E., Nieto, R., Santiso, E., del Portillo, P., y Martínez, M., «A realistic evaluation of indoor robot position tracking systems: The IPIN 2016 competition experience», Measurement, vol. 135, pp. 151 - 162, 2019.
J. Tejedor, Macias-Guarasa, J., Martins, H. F., Pastor-Graells, J., Martin-Lopez, S., Guillen, P. Corredera, De Pauw, G., De Smet, F., Postvoll, W., Ahlen, C. H., y Gonzalez-Herraez, M., «Real Field Deployment of a Smart Fiber-Optic Surveillance System for Pipeline Integrity Threat Detection: Architectural Issues and Blind Field Test Results», Journal of Lightwave Technology, vol. 36, n.º 4, pp. 1052 - 1062, 2018.
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C. A. Luna, Losada-Gutierrez, C., Fuentes-Jimenez, D., y Mazo, M., «People re-identification using depth and intensity information from an overhead camera», Expert Systems with Applications, vol. 182, p. 115287, 2021.
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J. Tejedor, Macias-Guarasa, J., Martins, H. F., Piote, D., Pastor-Graells, J., Martin-Lopez, S., Corredera, P., y Gonzalez-Herraez, M., «A Novel Fiber Optic Based Surveillance System for Prevention of Pipeline Integrity Threats», Sensors, vol. 17, n.º 2, p. 19, 2017.
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R. Valle, Buenaposada, J. Miguel, y Baumela, L., «Multi-task head pose estimation in-the-wild», IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 1 - 1, 2020.
J. Tejedor, Macias-Guarasa, J., Martins, H. F., Martin-Lopez, S., y Gonzalez-Herraez, M., «A Multi-Position Approach in a Smart Fiber-Optic Surveillance System for Pipeline Integrity Threat Detection», Electronics, vol. 10, n.º 6, p. 712, 2021.
K. Cetina, Buenaposada, J. M., y Baumela, L., «Multi-class segmentation of neuronal structures in electron microscopy images», BMC Bioinformatics, vol. 19, n.º 1, 2018.
J. Tejedor, Macias-Guarasa, J., Martins, H., Pastor-Graells, J., Corredera, P., y Martin-Lopez, S., «Machine Learning Methods for Pipeline Surveillance Systems Based on Distributed Acoustic Sensing: A Review», Applied Sciences, vol. 7, n.º 8, p. 841, 2017.
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J. M. Buenaposada y Baumela, L., Lecture Notes in Computer ScienceUnderstanding the Brain Function and EmotionsBoosting Object Detection in Cyberphysical Systems, vol. 1148623679165137422. Cham: Springer International Publishing, 2019, pp. 309 - 318.
R. Valle, Buenaposada, J. M., Valdés, A., y Baumela, L., Lecture Notes in Computer ScienceComputer Vision – ECCV 2018A Deeply-Initialized Coarse-to-fine Ensemble of Regression Trees for Face Alignment, vol. 11218365947472372. Cham: Springer International Publishing, 2018, pp. 609 - 624.
C. Wang, Buenaposada, J., Zhu, R., y Lucey, S., «Learning Depth from Monocular Videos Using Direct Methods», in 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Los Alamitos, CA, USA, 2018, pp. 2022-2030.

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by Dr. Radut