Search Publication
Multiple view region matching using as a Lagrangian optimization problem. In 2007 International Conference on Acoustics, Speech and Signal Processing. 2007.
. Multiresolution co-clustering for uncalibrated multiview segmentation. Signal Processing: Image Communication. 2019;.
(4.35 MB)
. ![application/pdf](/web/modules/file/icons/application-pdf.png)
Multiresolution hierarchy co-clustering for semantic segmentation in sequences with small variations. In ICCV - International Conference on Computer Vision. 2015.
. Multi-resolution illumination compensation for foreground extraction. In 16th International Conference on Image Processing. 2009. pp. 3225–3228.
(2.16 MB)
. ![application/pdf](/web/modules/file/icons/application-pdf.png)
Multiresolution image segmentation based on camporend random fields: Application to image coding. . Universitat Politècnica de Catalunya (UPC); 1992.
. Multiscale annotation of still images with GAT. In Proceedings of the 1st International Workshop on Visual Interfaces for Ground Truth Collection in Computer Vision Applications. Capri, Italy: ACM; 2012.
(6.08 MB)
. ![application/pdf](/web/modules/file/icons/application-pdf.png)
Multiscale Combinatorial Grouping. In Computer Vision and Pattern Recognition (CVPR). 2014.
(2.8 MB)
. ![application/pdf](/web/modules/file/icons/application-pdf.png)
Multiscale Combinatorial Grouping for Image Segmentation and Object Proposal Generation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 2017;38(7):128-140.
. Multispectral Cooperative Partition Sequence Fusion for Joint Classification and Hierarchical Segmentation. Geoscience and Remote Sensing Letters, IEEE. 2012;9:1012-1016.
. Multi-View 3D Face Reconstruction in the Wild using Siamese Networks. In ICCV 2019 Workshop on 3D Face Alignment in the Wild Challenge Workshop (3DFAW). Seoul, South Corea: IEEE/CVF; 2019.
(227.12 KB)
. ![application/pdf](/web/modules/file/icons/application-pdf.png)
Multi-view Body Tracking with a Detector-Driven Hierarchical Particle Filter. In 7th International Conference AMDO 2012. Port d'Andratx, Mallorca: Springer; 2012.
. 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.
. Multi-view depth coding based on a region representation combining color and depth information. . Signal Theory and Communications (TSC). Universitat Politècnica de Catalunya (UPC); 2017.
(15.24 MB)
. ![application/pdf](/web/modules/file/icons/application-pdf.png)
Multiview depth coding based on combined color/depth segmentation. Journal of visual communication and image representation. 2012;23(1):42–52.
(1.81 MB)
. ![application/pdf](/web/modules/file/icons/application-pdf.png)
Multiview Foreground Segmentation using 3D Probabilistic Model. In ICIP, IEEE International Conference on Image Processing. 2014.
(2.38 MB)
. ![application/pdf](/web/modules/file/icons/application-pdf.png)
Multi-View Video Representation Based on Fast Monte Carlo Surface Reconstruction. IEEE Transactions on Image Processing. 2013;22(9):3342 - 3352.
(6.16 MB)
. ![application/pdf](/web/modules/file/icons/application-pdf.png)
Mutual feedback scheme for face detection and tracking aimed at density estimation in demonstrations. IEE Proceedings-Vision, Image and Signal Processing. 2005;152(3):334–346.
. N-best hypotheses:an approach taking into account coarticulation. In EUROPEAN SIGNAL PROCESSING CONFERENCE. 1992. pp. 379–382.
. NeAT: a nonlinear analysis toolbox for neuroimaging. Neuroinformatics. 2020;.
. Neighborhood Filters and the Recovery of 3D Information. In Handbook of Mathematical Methods in Imaging. Springer Verlag; 2011. pp. 1203-1229.
. Neighborhood Filters and the Recovery of 3D Information. In Handbook of Mathematical Methods in Imaging. 2nd ed. Springer Verlag; 2015. pp. 1645-1673.
. NetBenchmark: a bioconductor package for reproducible benchmarks of gene regulatory network inference. BMC Bioinformatics. 2015;16.
(851.49 KB)
. ![application/pdf](/web/modules/file/icons/application-pdf.png)
Neural ADMIXTURE: rapid population clustering with autoencoders. In 2021 Society for Molecular Biology & Evolution meeting (SMBEv2021). Virtual; 2021.
(1.76 MB)
. ![application/pdf](/web/modules/file/icons/application-pdf.png)
Neural ADMIXTURE: rapid population clustering with autoencoders. Nature Computational Science. 2023;.
. A new approach to active contours for tracking. In IEEE International Conference on Image Processing. 2000.
.