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Publications generated in the project

Exportar 51 resultados:
Autor [ Título(Desc)] Tipo Año
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
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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.
A
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.
A. García Merino, Gutiérrez, C. Losada, S. de Villa, G., Martín, A. Jiménez, y Domínguez, J. Jesús Gar, «Análisis postural sin contacto y en tiempo real de personas ancianas para la evaluación de trastornos del sueño», in Seminario Anual de Automática y Electrónica Industrial (SAAEI'18), 2018.
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A. Fernández-Baldera, Buenaposada, J. M., y Baumela, L., «BAdaCost: Multi-class Boosting with Costs», Pattern Recognition, vol. 79, pp. 467 - 479, 2018.
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, Sfeir, G., Buenaposada, J. M., y Baumela, L., BELID: Boosted Efficient Local Image Descriptor, vol. 118671186027313636373210. Cham: Springer International Publishing, 2019, pp. 449 - 460.
E. Amador, Valle, R., Buenaposada, J. M., y Baumela, L., Benchmarking Head Pose Estimation in-the-Wild, vol. 10657. Cham: Springer International Publishing, 2018, pp. 45 - 52.
J. M. Buenaposada y Baumela, L., «Boosting Object Detection in Cyberphysical Systems», in Understanding the Brain Function and Emotions, Cham, 2019, pp. 309–318.
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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.
F. ì, Park, S., Ruiz, Aénez, Barsocchi, P., Girolami, M., Crivello, A., Lee, S., Lim, J., Torres-Sospedra, ín, Seco, F., Montoliu, R., Mendoza-Silva, án, Rubio, Mérez, érrez, C., Espinosa, F., y Macias-Guarasa, J., «Comparing the Performance of Indoor Localization Systems through the EvAAL Framework», Sensors, vol. 178417, n.º 10, p. 2327, 2017.
G. A. Merino, Gutiérrez, C. Losada, S. de Villa, G., Martín, A. Jiménez, y Domínguez, J. Jesús Gar, «Conctactless real-time analysis of elderly people posture for sleep disorders evaluation», in 9th International Conference on Indoor Positioning and Indoor Navigation IPIN 2018, 2018.
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.
D
D. Fuentes-Jimenez, Martin-Lopez, R., Losada-Gutierrez, C., Casillas-Perez, D., Macias-Guarasa, J., Luna, C. A., y Pizarro, D., «DPDnet: A robust people detector using deep learning with an overhead depth camera», Expert Systems with Applications, vol. 146, p. 113168, 2020.
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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.
F. Sanabria Macías, Marron-Romera, M., Macias-Guarasa, J., Turnes, J. Noa, y Reyes, E. Marañón, «Face tracking with a probabilistic Viola and Jones face detector », in IECON 2019: 45th Annual Conference of the IEEE Industrial Electronics Society, Lisbon, Portugal, 2019.
P. Diego López, Valle, R., y Baumela, L., Facial Landmarks Detection Using a Cascade of Recombinator Networks, vol. 1140138. Cham: Springer International Publishing, 2019, pp. 575 - 583.
P. Diego López, Valle, R., y Baumela, L., «Facial Landmarks Detection Using a Cascade of Recombinator Networks», in Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, Cham, 2019, pp. 575–583.
P. Diego López, Valle, R., y Baumela, L., «Facial Landmarks Detection Using a Cascade of Recombinator Networks», in Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, Cham, 2019, pp. 575–583.
C. A. Luna, Losada-Gutierrez, C., Fuentes-Jimenez, D., y Mazo, M., «Fast heuristic method to detect people in frontal depth images», Expert Systems with Applications, vol. 168, p. 114483, 2021.
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.
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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. 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.
H
«Headgear Accessories Classification Using an Overhead Depth Sensor», Sensors, vol. 17, n.º 8, p. 1845, 2017.
I
M. Adeel, Tejedor, J., Macias-Guarasa, J., y Lu, C., «Improved Perturbation Detection in Direct Detected $\phi$ -OTDR Systems using Matched Filtering», IEEE Photonics Technology Letters, vol. 31, n.º 21, pp. 1689 - 1692, 2019.
J. Miguel Buenaposada y Baumela, L., «Improving multi-class Boosting-based object detection», Integrated Computer-Aided Engineering, vol. 28, n.º 1, pp. 81 - 96, 2020.

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by Dr. Radut