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. Exploiting User Interaction and Object Candidates for Instance Retrieval and Object Segmentation. . 2014. 
(8.97 MB)
(8.97 MB). Recurrent Semantic Instance Segmentation. In NIPS 2017 Women in Machine Learning Workshop (WiML). Long Beach, CA, USA: NIPS 2017 Women in Machine Learning Workshop; 2017. (1.15 MB)
(1.15 MB). Shape from Probability Maps with Image-Adapted Voxelization. In ECCV Workshop on Multi-camera and Multi-modal Sensor Fusion Algorithms and Applications (M2SFA2). 2008. pp. 1–12.
. Learning Cross-modal Embeddings for Cooking Recipes and Food Images. In CVPR. Honolulu, Hawaii, USA: CVF / IEEE; 2017. (3.37 MB)
(3.37 MB). Codificación piramidal generalizada. In III Simposium Nacional de Reconocimiento de Formas y Análisis de Imágenes. 1988. pp. 1–2.
. Aplicació rica d'internet per a la consulta amb text i imatge a la Corporació Catalana de Mitjans Audiovisuals. . 2009. (6.01 MB)
(6.01 MB). Comparative study of upsampling methods for super-resolution in remote sensing. In International Conference on Machine Vision. 2019.
. SEG-ESRGAN: A multi-task network for super-resolution and semantic segmentation of remote sensing images. Remote Sensing. 2022;14(22).
. Single-image super-resolution of Sentinel-2 low resolution bands with residual dense convolutional neural networks. Remote Sensing. 2021;13(24):5007.
. Super-resolution and semantic segmentation of remote sensing images using deep learning techniques. . Signal Theory and Communications Department. 2022.
. Super-Resolution of Sentinel-2 Imagery Using Generative Adversarial Networks. Remote Sensing. 2020;12(15).
. Object recognition based on Binary Partition Trees. In IEEE International Conference on Image Processing. 2004. pp. 929–932.
. Segmented Picture Coding Method and System and Corresponding Decoding Method and System. 1996. (2.27 MB)
(2.27 MB). Multi-criterion segmentation for image coding. In International Symposium on Mathematical Morphology and its applications to image and signal processing, ISMM 1993. Barcelona, Spain; 1993. pp. 40–45.
. Connected operators: A review of region-based morphological image processing techniques. IEEE Signal Processing Magazine. 2009;6:136–157. (4.25 MB)
(4.25 MB). Morphological detection based on size and contrast criteria. In 14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Paris, France; 1992. pp. 1930–1031.
. Visual Segment Tree Creation for MPEG-7 Description Schemes. Pattern recognition. 2002;35:563–579. (1.14 MB)
(1.14 MB). Self-referred texture coding for segmentation-based codec. In SPIE Visual Communication and Image Processing, VCIP'94. Chicago (IL), USA; 1994.
. 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). Ship Detection in SAR Images Based on Maxtree Representation and Graph Signal Processing. IEEE Transactions on Geoscience and Remote Sensing. 2019;57(5):2709 - 2724. (5.5 MB)
(5.5 MB). The DICEMAN description schemes for still images and video sequences. In Workshop on Image Analysis for Multimedia Application Services, WIAMIS’99. Berlin, Germany; 1999. pp. 25–34. (718.69 KB)
(718.69 KB). Overview of MPEG-7 multimedia description schemes and schema tools. In Introduction to the mpeg-7: multimedia content description interface. B. S. Manjunath, P. Salembier, T. Sikora (Eds.). Wiley; 2002. pp. 83–94.
. Connected operators based on region-tree pruning. In Mathematical Morphology and its application to signal processing, ISMM 200. Palo Alto, USA; 2000. pp. 169–184. (283.78 KB)
(283.78 KB). Optimum Graph-Cuts for Pruning Binary Partition Trees of Polarimetric SAR images. IEEE Transactions on Geoscience and Remote Sensing. 2016;54(9):5493 – 5502. (3.42 MB)
(3.42 MB)