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Giró-i-Nieto X, Martos M, Mohedano E, Pont-Tuset J. From Global Image Annotation to Interactive Object Segmentation. Multimedia Tools and Applications. 2014;70.  (1.71 MB)
Canton-Ferrer C. From Catalonia to America: notes on how to achieve a successful post-PhD career. 2015.
Garrido L, Salembier P. A framework for the retrieval of multiple regions using Binary Partition Trees and low level descriptors. In 11th European Signal Processing Conference, EUSIPCO 2002. Toulouse, France; 2002. pp. 512–516.  (277.78 KB)
Sayrol E, Gasull A, R. Fonollosa J. Fourth-order statistics cost functions: applications to time delay estimation and image motion estimation. In VI SPANISH SYMPOSIUM ON PATTERN RECOGNITION AND IMAGE ANALYSIS. 1995. pp. 543–548.
Schreer O, Thomas G, Niamut O, Macq J, Kochale A, Batke J, et al.. Format-agnostic approach for production, delivery and rendering of immersive media. In Networked and Electronic Media Summit. 2011. p. –.  (3.19 MB)
Landabaso J-L, Pardàs M. Foreground Regions Extraction and Characterization Towards Real-Time Object Tracking. In 2nd Joint Workshop on Multimodal Interaction and Related Machine Learning Algorithms. 2005. pp. 241–249.
Landabaso J-L, Pardàs M. Foreground Regions Extraction and Characterization Towards Real-Time Object Tracking. Lecture notes in computer science. 2006;3869:241–249.
Gallego J, Pardàs M, Solano M. Foreground objects segmentation for moving camera scenarios based on SCGMM. In Computational Intelligence for Multimedia Understanding. Berlin Heidelberg: Springer; 2012. pp. 195-206.
Caselles V, Donat R, Haro G. Flux-gradient and source-term balancing for certain high resolution shock-capturing schemes. Computers & Fluids. 2009;38(1):16 - 36.  (595.61 KB)
Petras I, Beleznai C, Dedeoglu Y, Pardàs M, Kovács L, Szlávik Z, et al.. Flexible test-bed for unusual behavior detection. In 6th ACM International Conference on Image and Video Retrieval. 2007. pp. 105–108.
Salembier P, Serra J. Flat zones filtering, connected operators and filters by reconstruction. IEEE transactions on image processing. 1995;3:1153–1160.  (991.58 KB)
Mohedano E, McGuinness K, Giró-i-Nieto X, O'Connor N. Fine-tuning of CNN models for Instance Search with Pseudo-Relevance Feedback. Long Beach, CA, USA: NIPS 2017 Women in Machine Learning Workshop; 2017.  (341.96 KB)
Calafell A. Fine-tuning a Convolutional Network for Cultural Event Recognition. Salvador A, Zeppelzauer M, Giró-i-Nieto X. 2015.  (11.14 MB)
Salembier P, Ruiz-Hidalgo J. On Filters by Reconstruction for Size and Motion Simplification,. In Int. Symposium on Mathematical Morphology, ISMM 2002. Sydney, Australia; 2002. pp. 425–434.  (244.7 KB)
Oliveras A, Salembier P, Garrido L. Filtering Method and Corresponding Filtering System. 1996.
Alonso-González A, López-Martínez C, Salembier P. Filtering and segmentation of polarimetric SAR images with binary partition trees. In IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010. Honolulu, USA; 2010. pp. 4043–4046.  (972.45 KB)
Alonso-González A, López-Martínez C, Salembier P. Filtering and Segmentation of Polarimetric SAR Data Based on Binary Partition Trees. IEEE transactions on geoscience and remote sensing. 2012;50:593–605.  (2.02 MB)
Ramon E. Few-shot 3D Reconstruction of Body Parts with Deep Neural Networks. Moreno F, Garcia J, Giró-i-Nieto X. Signal Theory and Communications. 2022.
Casas J, Torres L. Feature-based video coding using Mathematical Morphology. In VII European Signal Processing Conference (EUSIPCO). Edinburgh: EURASIP; 1994.  (627.21 KB)
Casas J, Torres L. A feature-based subband coding schene. In THE 1996 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH & SIGNAL PROCESSING. 1996. pp. 2357–2360.  (480.35 KB)
López-Méndez A, Casas J. Feature-based annealing particle filter for robust body pose estimation. In Fourth International Conference on Computer Vision Theory and Applications. 2009. pp. 438–443.
Bosio M, Bellot P, Salembier P, Oliveras A. Feature set enhancement via hierarchical clustering for microarray classification. In IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2011. 2011. pp. 226 -229.  (254.44 KB)
Catà M. Feature Selection Methods for Predicting Pre-Clinical Stage in Alzheimer's Disease. Vilaplana V, Casamitjana A. 2016.  (4.52 MB)
Pina O, Vilaplana V. Feature propagation as self-supervision signals on graphs. Knowledge-Based Systems. 2024;289.
Salvador A, Giró-i-Nieto X, Marqués F, Satoh S'ichi. Faster R-CNN Features for Instance Search. In CVPR Workshop Deep Vision. 2016.  (2.77 MB)

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