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Vilaplana V, Marqués F. Region-based mean shift tracking: Application to face tracking. In IEEE International Conference on Image Processing. 2008. pp. 2712–2715.
A. Xalabarder G. Region-based Particle Filter. Varas D, Marqués F. 2015.
Varas D, Marqués F. A Region-Based Particle Filter for Generic Object Tracking and Segmentation. In ICIP - International Conference on Image Processing. Orlando; 2012.
Varas D, Marqués F. Region-based Particle Filter for Video Object Segmentation. In CVPR - Computer Vision and Pattern Recognition. Ohio: IEEE; 2014.  (1.78 MB)
Varas D. Region-based Particle Filter Leveraged with a Hierarchical Co-clustering. Marqués F. Signal Theory and Communications Department. [Barcelona]: UPC; 2016.
Salembier P, Marqués F. Region-based representations of image and video : segmentation tools for multimedia services. IEEE transactions on circuits and systems for video technology. 1999;9:1147–1169.  (992.8 KB)
Vilaplana V, Marqués F, Salembier P, Garrido L. Region-based segmentation segmentation and tracking of human faces. In 9th European Signal Processing Conference, EUSIPCO 1998. Rhodes, Greece; 1998. pp. 311–314.  (276.98 KB)
Casas J, Torres L. A region-based subband coding scheme. Signal Processing: Image Communication. 1997;10(1-3):173–200.
Salembier P, Torres L, Meyer F, Gu C. Region-based video coding using mathematical morphology. Proceedings of the IEEE. 1995;83:843–857.  (1.5 MB)
Fontdevila-Bosch E. Region-oriented Convolutional Networks for Object Retrieval. Salvador A, Giró-i-Nieto X. 2015.  (8.02 MB)
Pujol-Miró A, Ruiz-Hidalgo J, Casas J. Registration of Images to Unorganized 3D Point Clouds Using Contour Cues. In The 25th European Signal Processing Conference (EUSIPCO 2017). Kos island, Greece: Eurasip; 2017.  (3.14 MB)
Jiménez X, Figueiras F, Marqués F, Salembier P, Herance R, Rojas S, et al.. 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.
Pardàs M. Relative depth estimation and segmentation in monocular sequences. In 1997 PICTURE CODING SYMPOSIUM. 1997. pp. 367–372.
Salembier P, Foucher S. Remote sensing image processing with graph cut of Binary Partition Trees. Advances in computing science, control and communications. 2014;69(1):185-196.
Alfaro M. Reordenació i agrupament d'imatges d'una cerca de vídeo. Vives X, Giró-i-Nieto X. 2011.  (24.81 MB)
Ruiz-Hidalgo J. The representation of images using scale trees. University of East Anglia; 1999 .  (2.33 MB)
Garrido L, Salembier P, Casas J. Representing and retrieving regions using binary partition trees. In 1999 IEEE International Conference on Image Processing, ICIP 1999. Kobe, Japan; 1999.  (140.31 KB)
Fojo D. Reproducing and Analyzing Adaptive Computation Time in PyTorch and TensorFlow. Campos V, Giró-i-Nieto X. 2018.  (1.41 MB)
Mosella-Montoro A, Ruiz-Hidalgo J. Residual Attention Graph Convolutional Network for Geometric 3D Scene Classification. In IEEE Conference on Computer Vision Workshop (ICCVW). Seoul, Korea: IEEE; 2019.  (314.43 KB)
Casas J, Torres L. Residual image coding using mathematical morphology. In IEEE International Conference on Acoustics, Speech and Signal Processing. 1994. pp. 597–600.
Gullón N, Vilaplana V. Retinal lesions segmentation using CNNs and adversarial training. In International Symposium on Biomedical Imaging (ISBI 2019). 2019.
Gullón N. Retinal lesions segmentation using CNNs and adversarial training. Vilaplana V. 2018.
Carcel E, Martos M, Giró-i-Nieto X, Marqués F. Rich Internet Application for Semi-automatic Annotation of Semantic Shots on Keyframes. In Computational Intelligence for Multimedia Understanding. Pisa, Italy: Springer-Verlag; 2012. pp. 172-182.  (6.93 MB)
Carcel E. Rich Internet Application for the Semi-Automatic Annotation of Semantic Shots on Keyframes. Giró-i-Nieto X, Vives X. 2011.  (6.58 MB)
Gallego J, Pardàs M. Robust 3D SFS reconstruction based on reliability maps. In ICIP, IEEE International Conference on Image Processing. 2014.  (7.46 MB)

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