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Conference Paper
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)
Palou G, Salembier P. 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)
Giró-i-Nieto X, Marqués F. From Partition Trees to Semantic Trees. In International Workshop on Multimedia Content Representation, Classification and Security. 2006. pp. 306–313.
Giró-i-Nieto X, Marqués F. From Partition Trees to Semantic Trees. In 2ndas Jornades UPC de Investigación en Automática, Visión y Robótica. 2006. pp. 187–194.
Salvador J, Suau X, Casas J. From silhouettes to 3D points to mesh: towards free viewpoint video. In ACM Workshop on 3D Video Processing (3DVP). 2010. pp. 19–24.
Gené-Mola J, Gregorio E, Guevara J, Auat F, Escolà A, Morros JR, et al.. Fruit Detection Using Mobile Terrestrial Laser Scanning. In AgEng 2018,. Wageningen (Netherlands); 2018.
Garcia O, Casas J. Functionalities for mapping 2D images and 3D world objects in a Multicamera Environment. In 6th International Workshop on Image Analysis for Multimedia Interactive Services. 2005.  (198.67 KB)
Butko T, Temko A, Nadeu C, Canton-Ferrer C. Fusion of Audio and Video Modalities for Detection of Acoustic Events. In Interspeech 2008, 9th Annual Conference of the International Speech Communication Association. Brisbane, Australia: ISCA; 2008. pp. 123–126.
Maceira M, Morros JR, Ruiz-Hidalgo J. Fusion of colour and depth partitions for depth map coding. In Digital Signal Processing. Santorini, Greece; 2013.  (6.27 MB)
Canton-Ferrer C, Canton-Ferrer C, Casas J, Pardàs M. Fusion of multiple viewpoint information towards 3d face robust orientation detection. In IEEE International Conference on Image Processing. 2005.
Casas J, Hillion A, Roux C, Torres L, Gasull A. Fuzzy classification of Remote Sensing images: a pseudocolor representation of fuzzy partitions. In SPIE Neural and Stochastic Methods in Image and Signal Processing. San Diego, CA: SPIE; 1992.  (809.57 KB)
Journal Article
Marqués F, Vilaplana V. Face segmentation and tracking based on connected operators and partition projection. Pattern recognition. 2002;35:601–614.
Pardàs M, Bonafonte A. Facial animation parameters extraction and expression recognition using Hidden Markov Models. Signal processing: image communication. 2002;:675–688.
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)
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)
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)
Landabaso J-L, Pardàs M. Foreground Regions Extraction and Characterization Towards Real-Time Object Tracking. Lecture notes in computer science. 2006;3869:241–249.
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)
Campos V, Jou B, Giró-i-Nieto X. From Pixels to Sentiment: Fine-tuning CNNs for Visual Sentiment Prediction. Image and Vision Computing. 2017;.  (1.92 MB)
Gené-Mola J, Sanz R, Rosell-Polo JR, Morros JR, Ruiz-Hidalgo J, Vilaplana V, et al.. Fruit detection and 3D location using instance segmentation neural networks and structure-from-motion photogrammetry. Computers and Electronics in Agriculture. 2020;169.
Gené-Mola J, Gregorio E, Guevara J, Cheein FAuat, Sanz R, Escolà A, et al.. Fruit Detection in an Apple Orchard Using a Mobile Terrestrial Laser Scanner. Biosystems Engineering. 2019;187.
Rey-Arena M, Guirado E, Tabik S, Ruiz-Hidalgo J. FuCiTNet: Improving the generalization of deep learning networks by the fusion of learned class-inherent transformations. Information Fusion. 2020;63(195).  (366.22 KB)
Gené-Mola J, Sanz R, Rosell-Polo JR, Morros JR, Ruiz-Hidalgo J, Vilaplana V, et al.. Fuji-SfM dataset: A collection of annotated images and point clouds for Fuji apple detection and location using structure-from-motion photogrammetry. 2020;Data in Brief(Vol. 30).

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