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Publications generated in the project

Exportar 17 resultados:
Autor Título Tipo [ Año(Asc)]
Filtros: Autor es Baumela, Luis  [Elimina todos los filtros]
2021
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.
2020
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.
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.
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.
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.
2019
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.
J. M. Buenaposada y Baumela, L., «Boosting Object Detection in Cyberphysical Systems», in Understanding the Brain Function and Emotions, Cham, 2019, pp. 309–318.
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.
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.
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.
2018
A. Fernández-Baldera, Buenaposada, J. M., y Baumela, L., «BAdaCost: Multi-class Boosting with Costs», Pattern Recognition, vol. 79, pp. 467 - 479, 2018.
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, 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.
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.
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.


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