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Publications generated in the project

Exportar 51 resultados:
[ Autor(Desc)] Título Tipo Año
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J. I. Ronda y Valdés, A., «Geometrical Analysis of Polynomial Lens Distortion Models», Journal of Mathematical Imaging and Vision, vol. 61, n.º 3, pp. 252 - 268, 2019.
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F. Sanabria-Macias, Marron-Romera, M., y Macias-Guarasa, J., «3D Audiovisual Speaker Tracking with Distributed Sensors Configuration», in 2020 28th European Signal Processing Conference (EUSIPCO), Amsterdam, Netherlands, 2021, pp. 256 - 260.
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.
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.
I. Suárez, Sfeir, G., Buenaposada, J. M., y Baumela, L., «BEBLID: Boosted efficient binary local image descriptor», Pattern Recognition Letters, vol. 133, pp. 366 - 372, 2020.
I. Suárez, Muñoz, E., Buenaposada, J. M., y Baumela, L., «FSG: A statistical approach to line detection via fast segments grouping», in 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Madrid, 2018, pp. 97 - 102.
I. Suárez, Sfeir, G., Buenaposada, J. M., y Baumela, L., BELID: Boosted Efficient Local Image Descriptor, vol. 118671186027313636373210. Cham: Springer International Publishing, 2019, pp. 449 - 460.
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.
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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.
J. Tejedor, Macias-Guarasa, J., Martins, H. F., Martin-Lopez, S., y Gonzalez-Herraez, M., «A Gaussian Mixture Model-Hidden Markov Model (GMM-HMM)-based fiber optic surveillance system for pipeline integrity threat detection», in Optical Fiber Sensors26th International Conference on Optical Fiber Sensors, LausanneWashington, D.C., 2018, p. WF36.
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.
J. Tejedor, Macias-Guarasa, J., Martins, H., Martin-Lopez, S., y Gonzalez-Herraez, M., «A Contextual GMM-HMM Smart Fiber Optic Surveillance System for Pipeline Integrity Threat Detection», Journal of Lightwave Technology, pp. 1 - 1, 2019.
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.
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.
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. M., Valdés, A., y Baumela, L., «Face alignment using a 3D deeply-initialized ensemble of regression trees», Computer Vision and Image Understanding, vol. 189361061075916223132547447217141, p. 102846, 2019.
R. Valle, Buenaposada, J. M., y Baumela, L., «Cascade of encoder-decoder CNNs with learned coordinates regressor for robust facial landmarks detection», Pattern Recognition Letters, vol. 136, n.º 2, pp. 326 - 332, 2020.
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. Manuel Vera-Diaz, Pizarro, D., y Macias-Guarasa, J., «Acoustic source localization with deep generalized cross correlations», Signal Processing, vol. 187, p. 108169, 2021.
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. 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.
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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