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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)
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.
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)
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.
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)
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).
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, 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.
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.
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.
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.
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)
Giró-i-Nieto X, Marqués F. From partition trees to semantic trees. In Multimedia Content Representation, Classification and Security. 2006. pp. 306–313.  (966.49 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.
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, 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. Lecture notes in computer science. 2006;3869:241–249.
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.
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)

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