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2024

On the representation and methodology for wide and short range head pose estimation.
Alejandro Cobo, Roberto Valle, José M. Buenaposada, Luis Baumela.
Pattern Recognition 149: 110263 (2024)

[DOI] [CODE]

DRVMon-VM: Distracted driver recognition using large pre-trained video transformers.
Ricardo Pizarro, Luis Miguel Bergasa, Luis Baumela, José M. Buenaposada, Rafael Barea.
IV 2024: 1901-1906

[DOI] [CODE]

A digital twin for smart manufacturing of structural composites by liquid moulding.
Joaquín Fernández-León, Keayvan Keramati, Luis Baumela, Carlos González.
Int. Journal of Advanced Manufacturing Technology, Vol. 130, pp. 4679-4697 (2024)

[DOI]

2023

A deep encoder-decoder for surrogate modelling of liquid moulding of composites.
Joaquín Fernández León, Keayvan Keramati, Carlos Miguel, Carlos González, Luis Baumela.
Engeneering Applications of Artificial Intelligence 120: 105945 (2023)

[DOI]

2022

Shape Preserving Facial Landmarks with Graph Attention Networks
Andrés Prados-Torreblanca, José M. Buenaposada, Luis Baumela.
British Machine Vision Conference, BMVC 2022. London, UK. November 2022.

[ARXIV] [CODE]

ELSED: Enhanced Line SEgment Drawing.
Iago Suárez, José M. Buenaposada, Luis Baumela.
Pattern Recognition (2022).

[ARXIV] [DOI] [CODE]

2021

Revisiting Binary Local Image Description for Resource Limited Devices.
Iago Suárez, José M. Buenaposada, Luis Baumela.
IEEE Robotics and Automation Letters, 6(4): 8317-8324 (2021).

[arXiv] [DOI] [CODE]

Multi-task head pose estimation in-the-wild.
Roberto Valle, José M. Buenaposada, Luis Baumela.
IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(8): 2874-2881 (2021).

[ARXIV] [PDF-SUPP] [DOI] [CODE] [VIDEO1] [AFLW2000 Head Pose (MNN)] [BIWI Head Pose (MNN)] [AFLW2000-3D Landmarks (MNN)]

Improving multi-class Boosting-based object detection
José M. Buenaposada, Luis Baumela.
Integrated Computer-Aided Engineering, 28(1): 81-96

[PDF] [DOI]

2020

BEBLID: Boosted Efficient Binary Local Image Descriptor.
Iago Suárez, Ghesn Sfeir, José M. Buenaposada, Luis Baumela.
Pattern Recognition Letters, 133: 366-372 (2020).

[PDF] [DOI] [CODE] [OpenCV-CODE]

Cascade of Encoder-Decoder CNNs with Learned Coordinates Regressor for Robust Facial Landmarks Detection.
Roberto Valle, José M. Buenaposada, Luis Baumela.
Pattern Recognition Letters, 136: 326-332 (2020).

[PDF] [DOI] [CODE] [WFLW leaderboard (CHR2C)] [300W leaderboard (CHR2C)] [COFW leaderboard (CHR2C)]

2019

Face alignment using a 3D deeply-initialized ensemble of regression trees
Roberto Valle, José M. Buenaposada, Antonio Valdé, Luis Baumela.
Computer Vision and Image Understanding, 189 (2019).

[arXiv] [DOI] [WFLW leaderboard (3DDE)] [300W leaderboard (3DDE)] [COFW leaderboard (3DDE)]

BELID: Boosted efficient local image descriptor
Iago Suárez, Ghesn Sfeir, José M. Buenaposada, Luis Baumela.
Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2019.

[PDF] [DOI]

IbPRIA 2019, Best student paper award!

Boosting Object Detection in Cyberphysical Systems.
José M. Buenaposada, Luis Baumela.
8th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2019

[PDF] [DOI]

2018

Facial Landmarks Detection using a Cascade of Recombinator Networks
Pedro Diego, López, Roberto Valle, Luis Baumela.
Iberoamerican Congress on Pattern Recognition, CIARP 2018. LNCS, Springer-Verlag, pp. 575-583. Madrid, Spain. November 19-22.

[DOI] [CODE]

CIARP 2018, Best student paper award!

Multi-class segmentation of neuronal structures in electron microscopy images
Kendrick Cetina, José M. Buenaposada, Luis Baumela.
BMC Bioinformatics. Springer Nature.

[PDF]

FSG: A statistical approach to line detection via fast segments grouping.
Iago Suárez, Enrique Muñoz, José M. Buenaposada, Luis Baumela.
IEEE/RJS Int. Conf. on Intelligent Robots and Systems, IROS 2018.

[PDF] [DOI] [VIDEO1] [DATASET]

A Deeply-initialized Coarse-to-fine Ensemble of Regression Trees for Face Alignment.
Roberto Valle, José Miguel Buenaposada, Antonio Valdés, Luis Baumela.
European Conference on Computer Vision, ECCV 2018.

[PDF] [VIDEO] [CODE]

Learning Depth from Monocular Videos using Direct Methods.
Chaoyang Wang, José Miguel Buenaposada, Rui Zhu, Simon Lucey.
Conference on Computer Vision and Pattern Recognition, CVPR 2018.

[PDF] [arXiv] [VIDEO1] [CODE]

BAdaCost: Multi-class Boosting with Costs.
Antonio Fernández-Baldera, José M. Buenaposada, Luis Baumela.
Pattern Recognition, Elsevier.

[PDF] [DOI] [WEB] [VIDEO1] [VIDEO2] [CODE]

2017

Benchmarking Head Pose Estimation in-the-Wild.
Elvira Amador, Roberto Valle, José M. Buenaposada,Luis Baumela.
Iberoamerican Congress on Pattern Recognition, CIARP 2017. LNCS 10657, Springer-Verlag, pp. 45-57. Valparaíso, Chile.

[PDF] [DOI] [VIDEO1] [CODE]

2016

A Fast Method for the Segmentation of Synaptic Junctions and Mitochondria in Serial Electron Microscopic Images of the Brain.
Pablo Márquez-Neila, Luis Baumela, Juncal González-Soriano, José-Rodrigo Rodríguez, Javier DeFelipe, Ángel Merchán-Pérez.
Neuroinformatics 14(2): 235-250 (2016)

[PDF] [DOI]

Head-Pose Estimation In-the-Wild Using a Random Forest
Roberto Valle, José M. Buenaposada, Antonio Valdés, Luis Baumela.
Conference on Articulated motion and deformable objects, AMDO 2016. LNCS 9756, Springer-Verlag, Heidelberg, pp. 24-33. Andratx, Mallorca, Spain. July 2016

[PDF] [DOI] [CODE]

Speeding-up homography estimation in mobile devices.
Pablo Márquez-Neila, Javier López-Alberca, José M. Buenaposada, Luis Baumela.
Journal of Real-Time Image Processing, 11(1): 141-154 (2016)

[PDF] [WEB] [DOI] [Our code in OpenCV]

2015

Multi-class Boosting for Imbalanced Data.
Antonio Fernández Baldera, J.M. Buenaposada, L. Baumela.
Iberian Conf. on Pattern Recognition and Image Analysis, IbPria-2015. LNCS 9117, pp. 57-64, Springer. Santiago de Compostela, Spain. June 2015.

[PDF] [DOI]

Rationalizing Efficient Compositional Image Alignment - The Constant Jacobian Gauss-Newton Optimization Algorithm.
Enrique Muñoz, Pablo Márquez-Neila, Luis Baumela.
International Journal of Computer Vision. 112(3):354-372, 2015.

[PDF] [DOI]

2014

A comparative study of feature descriptors for mitochondria and synapse segmentation.
K. Cetina, P. Márquez-Neila, L. Baumela.
International Conference on Pattern Recognition, ICPR 2014, pp. 3215-3220.

[PDF] [DOI]

Non-parametric Higher-Order Random Fields for Image Segmentation.
P. Márquez-Neila, P. Kohli, C. Rother, L. Baumela.
European Conference on Computer Vision, ECCV 2014, LNCS-8694, pp. 269-284.

[PDF] [POSTER] [DOI]

Multi-class boosting with asymmetric binary weak-learners.
Antonio Fernandez-Baldera, Luis Baumela.
Pattern Recognition. 47(5):2080-2090, 2014.

[PDF] [DOI] [WEB]

Robust gender recognition by exploiting facial attributes dependencies.
Juan Bekios-Calfa, José M. Buenaposada, Luis Baumela.
Pattern Recognition Letters, 36:228-234, 2014.

[PDF] [DOI]

A Morphological Approach to Curvature-based Evolution of Curves and Surfaces.
Pablo Marquez-Neila, Luis Baumela, Luis Alvarez.
IEEE Transactions on Pattern Analysis and Machine Intelligence,36(1):2-17, 2014.

[PDF] [DOI]

2013

Alignment-free gender recognition.
Juan Bekios-Calfa, José M. Buenaposada, Luis Baumela.
Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2013. Madeira (Portugal), June 5-7, 2013.

[DOI]

2011

Revisiting Linear Discriminant Techniques in Gender Recognition.
Juan Bekios-Calfa, José M. Buenaposada, Luis Baumela.
IEEE Transactions on Pattern Analysis and Machine Intelligence, 33(4):858-864, 2011.

[PDF] [DOI]

On the importance of multi-dimensional information in gender estimation.
Juan Bekios-Calfa, José M. Buenaposada, Luis Baumela.
Iberoamerican Congress on Pattern Recognition, CIARP 2011. LNCS 7042, Springer-Verlag, pp. 264-271. Pucón, Chile. November 15-18, 2011.

[PDF] [DOI]

Age regression from soft aligned face images using low computational resources.
Juan Bekios-Calfa, José M. Buenaposada, Luis Baumela.
Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2011. LNCS 6669, Springer-Verlag, pp. 281-288. Las Palmas de Gran Canaria (Spain), June 8-10, 2011.

[PDF] [DOI]

2010

Morphological Snakes.
L. Álvarez, L. Baumela, P. Henríquez, P. Márquez-Neila.
IEEE International Conference on Computer Vision and Pattern Recognition, CVPR 2010. San Francisco, June 2010.

[PDF] [DOI]

2009

Efficient illumination independent appearance-based face tracking.
José M. Buenaposada, Enrique Muñoz, Luis Baumela.
Image and vision computing, 27(5):560-578, 2009.

[PDF] [DOI]

A direct approach for efficiently tracking with 3D Morphable Models
E. Muñoz, J.M. Buenaposada, L. Baumela.
IEEE International Conference on Computer Vision, ICCV 2009. Kyoto, Japan. October 2009.

[PDF] [DOI]

2008

Analysing Driver's attention level using Computer Vision
Luis M. Bergasa, José M. Buenaposada, Jesús Nuevo, Pedro Jiménez, Luis Baumela.
11th International IEEE Conference on Intelligent Transportation Systems, 2008. ITSC 2008.

[PDF] [DOI]

Recognising facial expressions in video sequences.
José M. Buenaposada, Enrique Muñoz, Luis Baumela.
Pattern Analysis and Applications, 11(1): 101-116, 2008.

[PDF] [DOI]

An Empirical Comparison of Graph-based Dimensionality Reduction Algorithms on Facial Expression Recognition Tasks.
He Li, José M. Buenaposada, Luis Baumela.
IEEE International Conference on Pattern Recognition, ICPR 2008. Tampa, USA. December 2008.

[PDF] [DOI]

A model of brightness variations due to illumination changes and non-rigid motion using spherical harmonics
José M. Buenaposada, Alessio del Bue, Enrique Muñoz, Luis Baumela.
British Machine Vision Conference, BMVC 2008. Leeds, UK. September 2008.

[PDF] [DOI]

Efficient Tracking of 3D Objects Using Multiple Orthogonal Cameras
José M. Buenaposada, Alessio del Bue, Enrique Muñoz, Luis Baumela.
British Machine Vision Conference, BMVC 2008. Leeds, UK. September 2008.

[PDF] [DOI]

Real-time facial expression recognition with illumination-corrected image sequences.
He Li, José M. Buenaposada, Luis Baumela.
IEEE International Conference on automatic face and gesture recognition, FG2008. Amsterdam, The Netherlands. September 2008.

[PDF] [DOI]

Improving RANSAC for Fast Landmark Recognition.
Pablo Márquez-Neila, Jacobo García, Luis Baumela, José M. Buenaposada.
Workshop on Visual Localization for Mobile Platforms (In conjunction with International Conference on Computer Vision and Pattern Recognition, CVPR 2008). Anchorage, Alaska, USA. June 2008.

[DOI]

Appearance-based tracking and face identification in video sequences.
José M. Buenaposada, Juan Bekios, Luis Baumela.
Conference on Articulated motion and deformable objects, AMDO 2008. LNCS 5098, Springer-Verlag, Heidelberg, pp. 349-358. Andratx, Mallorca, Spain. July 2008

[PDF]

2007

Planar tracking using the GPU for augmented reality and games
Luis A. Leiva, Antonio Sanz, José M. Buenaposada.
ACM SIGGRAPH 2007 Posters-

[PDF] [Poster]

2006

Efficiently estimating facial expression and illumination in appearance-based tracking
J.M. Buenaposada, E. Muñoz, L. Baumela.
British Machine Vision Conference, BMVC 2006. Edinburgh. September 2006.

[PDF]

Performance driven facial animation using illumination independent appearance-based tracking.
J.M. Buenaposada, E. Muñoz, L. Baumela.
IEEE International Conference on Pattern Recognition, ICPR 2006. Hong Kong. August 2006.

[PDF] [DOI]

2005

Efficient Model-Based 3D Tracking of Deformable Objects.
E. Muñoz, J.M. Buenaposada, L. Baumela.
IEEE International Conference on Computer Vision, ICCV 2005. pp 877-882 Vol. 1. Beijing, China. October 2005.

[PDF] [Poster]

Performance driven facial animation by appearance based tracking.
J.M. Buenaposada, E. Muñoz, L. Baumela.
Iberian Conf. on Pattern Recognition and Image Analysis, IbPria-2005. LNCS 3522, pp. 476-483, Springer-Verlag. Estoril, Portugal. June 2005

[PDF] [DOI]

Automatic modelling and efficient tracking of deformable o objects.
Enrique Muñoz, A. Del Bue, José Buenaposada, Luis Baumela, Lourdes Agapito.
IEE International Conference on Visual Information Engineering, VIE 2005. pp. 267-274. Glasgow, Scotland, UK. April 2005.

[PDF]

2004

Efficient appearance-based tracking.
J.M. Buenaposada, E. Muñoz, L. Baumela. 2004.
IEEE Workshop on Articulated and Nonrigid Motion, ANM-2004 (in conjunction with CVPR 2004).

[PDF]

2003

Tracking a planar patch by additive image registration.
J.M. Buenaposada, E. Muñoz, L. Baumela.
Int. Workshop on Visual Content Processing and Representation, VLBV-2003. LNCS 2849, Springer-Verlag, Berlin. pp. 50-57

[PDF]

Tracking heads using piedewise planar models.
J.M. Buenaposada, E. Muñoz, L. Baumela.
Iberian Conf. on Pattern Recognition and Image Analysis, IbPria-2003. LNCS 2652, Springer-Verlag, Berlin. pp. 126-133.

[PDF]

2002

Speeding up SSD planar tracking by pixel selection.
J.M. Buenaposda, L. Baumela.
Int. Conf. on Image Processing, ICIP-2002. Vol. I, IEEE. pp. 565-568.

[PDF]

Real-time tracking and estimation of plane pose.
J.M. Buenaposada, L. Baumela.
Int. Conf. on Pattern Recognition, ICPR-2002, Vol. II, IEEE. pp. 697-700.

[PDF]

2001

Face tracking using the Dynamic Grey World Algorithm.
J.M. Buenaposada, D. Sopeña, L. Baumela.
Computer Analysis of Images and Patterns, CAIP-2001. LNCS 2124, Springer-Verlag, Berlin. pp. 341-348.

[PDF]

2000

Motion estimation using the differential epipolar equation.
L. Baumela, L. Agapito, P. Bustos, I. Reid.
Int. Conf. on Pattern Recognition, ICPR-2000

[PDF]

1998

Towards robust metric reconstruction via a dynamic uncalibrated stereo head.
M.J. Brooks, L. Agapito, D.Q. Huynh, L. Baumela.
Image and Vision Computing, 16:989-1002, 1998.

[PDF] [DOI]

Techniques for the Estimation of Structure from Motion in the Uncalibrated Case.
M.J. Brooks, W. Chojnacki, A. van den Hengel, L. Baumela.
European Conference on Computer Vision, ECCV-1998. LNCS 1406, Springer-Verlag, Berlin. pp. 281-295

[PDF] [DOI]

1997

Determining the ego-motion of an uncalibrated camera from instantaneous optical flow.
M.J. Brooks, W. Chojnacki, L. Baumela.
Journal of the Optical Society of America A, 14(10):2670-2677, 1997.

[PDF] [DOI]

1996

Direct Methods for Self-Calibration of a Moving Stereo Head.
M.J. Brooks, L. Agapito, D.Q. Huynh, L. Baumela.
European Conference on Computer Vision, ECCV-1996. LNCS 1065, Springer-Verlag, Berlin. pp. 415-426

[PDF] [DOI]