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. Stochastic optimization and interactive machine learning for human motion analysis. . Signal Theory and Communications. [Barcelona]: UPC; 2014. 
(17.16 MB)
(17.16 MB). Bayesian region selection for adaptive dictionary-based Super-Resolution. In British Machine Vision Conference. 2013. (2.59 MB)
(2.59 MB). Hierarchical Video Representation with Trajectory Binary Partition Tree. In Computer Vision and Pattern Recognition (CVPR). Portland, Oregon; 2013. (4.69 MB)
(4.69 MB). Measures and Meta-Measures for the Supervised Evaluation of Image Segmentation. In Computer Vision and Pattern Recognition (CVPR). 2013. (909.27 KB)
(909.27 KB). Monocular Depth Ordering Using T-junctions and Convexity Occlusion Cues. IEEE Transactions on Image Processing. 2013;22(5): 1926 - 1939 . (2.64 MB)
(2.64 MB). Parametric Region-Based Foreground Segmentation in Planar and Multi-View Sequences. . Universitat Politècnica de Catalunya (UPC); 2013. (70.23 MB)
(70.23 MB). Real-time user independent hand gesture recognition from time-of-flight camera video using static and dynamic models. Machine vision and applications. 2013;24(1):187–204.
. Region Based Foreground Segmentation Combinig Color and Depth Sensors Via Logarithmic Opinion Pool Decision. Journal of Visual Communication and Image Representation. 2013;.
. Video Clustering Using Camera Motion. . 2013. (8.87 MB)
(8.87 MB). 2.1 Depth Estimation of Frames in Image Sequences Using Motion Occlusions. In Computer Vision – ECCV 2012. Workshops and Demonstrations. Springer Berlin Heidelberg; 2012. (8.88 MB)
(8.88 MB). Depth Ordering on Image Sequences Using Motion Occlusions. In IEEE Int. Conf. in Image Processing, ICIP 2012. Orlando, Florida, USA; 2012. (5.42 MB)
(5.42 MB). Enhanced foreground segmentation and tracking combining Bayesian background, shadow and foreground modeling. Pattern Recognition Letters. 2012;33(12):1558–1568.
. Foreground objects segmentation for moving camera scenarios based on SCGMM. In Computational Intelligence for Multimedia Understanding. Berlin Heidelberg: Springer; 2012. pp. 195-206.
. From local occlusion cues to global depth estimation. In IEEE Int. Conf. on Acoustics Speech and Signal Processing, ICASSP 2012. Kyoto, Japan; 2012. (480.32 KB)
(480.32 KB). Multi-view Body Tracking with a Detector-Driven Hierarchical Particle Filter. In: . Lecture Notes in Computer Science: Articulated Motion and Deformable Objects. Berlin / Heidelberg: Springer ; 2012. pp. 82-91.
. Registration of Multi-Modal Neuroimaging Datasets by Considering the Non-Overlapping Field of View into the NMI Calculation. In IEEE International Symposium on Biomedical Imaging, ISBI 2012. Barcelona, Spain; 2012.
. Supervised Assessment of Segmentation Hierarchies. In European Conference on Computer Vision (ECCV). 2012. (421.65 KB)
(421.65 KB). Upper-bound assessment of the spatial accuracy of hierarchical region-based image representations. In IEEE International Conference on Acoustics, Speech, and Signal Processing. 2012. pp. 865-868.
. Approximate partitioning of observations in hierarchical particle filter body tracking. In 2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. 2011. pp. 19–24.
. Connected Operators on 3D data for human body analysis. In 2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. 2011. pp. 9–14.
. Human motion capture using scalable body models. Computer vision and image understanding. 2011;115:1363–1374.
. Implementation and first results of the Introduction to Engineering course in the ETSETB-UPC new degrees. In II Conferencia Internacional en Fomento e Innovación con Nuevas Tecnologías en la Docencia de la Ingeniería. 2011. pp. 1–4.
. Implementation and first results of the Introduction to Engineering course in the ETSETB-UPC new degrees. In II Conferencia Internacional en Fomento e Innovación con Nuevas Tecnologías en la Docencia de la Ingeniería. 2011. pp. 1–4.
. Joint multi-view foreground segmentation and 3D reconstruction with tolerance loop. In IEEE International Conference on Image Processing. 2011. pp. 997–1000.
. Monocular Depth Ordering Using Occlusion Cues. Barcelona: Technical University of Catalonia; 2011 .