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. 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)
(244.7 KB). Fine-tuning a Convolutional Network for Cultural Event Recognition. . 2015. (11.14 MB)
(11.14 MB). 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)
(341.96 KB). Flat zones filtering, connected operators and filters by reconstruction. IEEE transactions on image processing. 1995;3:1153–1160. (991.58 KB)
(991.58 KB). Flexible test-bed for unusual behavior detection. In 6th ACM International Conference on Image and Video Retrieval. 2007. pp. 105–108.
. Flux-gradient and source-term balancing for certain high resolution shock-capturing schemes. Computers & Fluids. 2009;38(1):16 - 36. (595.61 KB)
(595.61 KB). Foreground objects segmentation for moving camera scenarios based on SCGMM. In Computational Intelligence for Multimedia Understanding. Berlin Heidelberg: Springer; 2012. pp. 195-206.
. Foreground Regions Extraction and Characterization Towards Real-Time Object Tracking. Lecture notes in computer science. 2006;3869:241–249.
. 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.
. Format-agnostic approach for production, delivery and rendering of immersive media. In Networked and Electronic Media Summit. 2011. p. –. (3.19 MB)
(3.19 MB). 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.
. 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)
(277.78 KB). From Global Image Annotation to Interactive Object Segmentation. Multimedia Tools and Applications. 2014;70. (1.71 MB)
(1.71 MB). 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)
(480.32 KB). From partition trees to semantic trees. In Multimedia Content Representation, Classification and Security. 2006. pp. 306–313. (966.49 KB)
(966.49 KB). From Partition Trees to Semantic Trees. In International Workshop on Multimedia Content Representation, Classification and Security. 2006. pp. 306–313.
. From Partition Trees to Semantic Trees. In 2ndas Jornades UPC de Investigación en Automática, Visión y Robótica. 2006. pp. 187–194.
. From Pixels to Sentiment: Fine-tuning CNNs for Visual Sentiment Prediction. Image and Vision Computing. 2017;. (1.92 MB)
(1.92 MB). From silhouettes to 3D points to mesh: towards free viewpoint video. In ACM Workshop on 3D Video Processing (3DVP). 2010. pp. 19–24.
. Fruit detection and 3D location using instance segmentation neural networks and structure-from-motion photogrammetry. Computers and Electronics in Agriculture. 2020;169.
. Fruit Detection in an Apple Orchard Using a Mobile Terrestrial Laser Scanner. Biosystems Engineering. 2019;187.
. Fruit Detection Using Mobile Terrestrial Laser Scanning. In AgEng 2018,. Wageningen (Netherlands); 2018.
. FuCiTNet: Improving the generalization of deep learning networks by the fusion of learned class-inherent transformations. Information Fusion. 2020;63(195). (366.22 KB)
(366.22 KB)