Saltar a Navegación

Publications generated in the project

Exportar 51 resultados:

Autor [ Título

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

L

C. Wang, Buenaposada, J. Miguel, 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)2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, Salt Lake City, UT, USA, 2018, pp. 2022 - 2030.

I

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.

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.

H

«Headgear Accessories Classification Using an Overhead Depth Sensor», Sensors, vol. 17, n.º 8, p. 1845, 2017.

G

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.

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.

F

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.

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.

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.

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.

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.

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.

C

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.

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.

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.

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.

B

J. M. Buenaposada y Baumela, L., «Boosting Object Detection in Cyberphysical Systems», in Understanding the Brain Function and Emotions, Cham, 2019, pp. 309–318.

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.

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, Sfeir, G., Buenaposada, J. M., y Baumela, L., «BEBLID: Boosted efficient binary local image descriptor», Pattern Recognition Letters, vol. 133, pp. 366 - 372, 2020.

A. Fernández-Baldera, Buenaposada, J. M., y Baumela, L., «BAdaCost: Multi-class Boosting with Costs», Pattern Recognition, vol. 79, pp. 467 - 479, 2018.

A

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.

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.

Páginas

Copyright notice

Some of the papers shown in this site are copyrighted by their respective publishers. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. By choosing to view these documents, you declare you have the corresponding permissions to view them and agree to all provisions of the copyright laws protecting them.

Main menu 2