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Conference Paper
Pareto D, Vidal P, Alberich M, Lopez C, Auger C, Tintoré M, et al.. Prediction of a second clinical event in CIS patients by combining lesion and brain features. In Congress of the European Comitee for Treatment and Research in Multiple Sclerosis (ECTRIMS 2019). 2019.
Cumplido-Mayoral I, Ingala S, Lorenzini L, Wink AMeije, Haller S, Molinuevo JLuis, et al.. Prediction of amyloid pathology in cognitively unimpaired individuals using structural MRI. In Alzheimer's Association International Conference. 2021.
Descampe A, De Vleeschouwer C, Iregui M, Macq B, Marqués F. Pre-fetching strategies for remote and interactive browsing of JPEG2000 images. In International Conference on Image Processing. 2006. pp. 3203–3206.
Bragos R, Alarcón E, Cabrera M, Calveras A, Comellas J, O'Callaghan J, et al.. Proceso de inversión de competencias genéricas en los nuevos planes de estudios de grado de la ETSETB de acuerdo con el modelo CDIO. In IX Congreso de Tecnologías Aplicadas a la Enseñanza de la Electrónica. 2010. pp. 1–9.
Salembier P. Processing Radar Images with Hierarchical Region-Based Representations and Graph Signal Processing Tools. In Workshop on Digital Topology and Mathematical Morphology associated to the 21st IAPR International Conference on Discrete Geometry for Computer Imagery, Keynote speech. Paris, France; 2019.  (7.98 MB)
Casamitjana A, Petrone P, Artigues M, Molinuevo JL, Gispert JD, Vilaplana V. Projection to Latent Spaces Disentangles Specific Cerebral Morphometric Patterns Associated to Aging and Preclinical AD. In Alzheimer's Association International Conference. Chicago, USA; 2018.
Canton-Ferrer C, Canton-Ferrer C, Casas J, Tekalp M, Pardàs M. Projective Kalman Filter: Multiocular Tracking of 3D Locations Towards Scene Understanding. In 2nd Joint Workshop on Multimodal Interaction and Related Machine Learning Algorithms. 2005.
Irurueta A, Morros JR. PROMEDS: An adaptive robust fundamental matrix estimation approach. In 3DTV Conference. Zurich, Switzerland: IEEE; 2012.  (576.37 KB)
Morros JR, Marqués F. A proposal for dependent optimization in scalabale region-based coding systems. In 1999 IEEE International Conference on Image Processing. 1999. pp. 295–299.  (417.77 KB)
Cabrera M, Closas P, Alfredo L, Giró-i-Nieto X, Rey F. Proyecto de Innovación Docente COM@WEB (COMunicaciones en la WEB). In VIII Simposio Nacional de Tecnologías de la Información y las Comunicaciones en la Educación. SINTICE'07. 2007. pp. 113–120.  (434.45 KB)
Perez-Pellitero E, Salvador J, Ruiz-Hidalgo J, Rosenhahn B. PSyCo: Manifold Span Reduction for Super Resolution. In IEEE Conference on Computer Vision and Pattern Recognition. Las Vegas, Nevada, USA; 2016.  (1.56 MB)
Cabezas F, Carlier A, Salvador A, Giró-i-Nieto X, Charvillat V. Quality Control in Crowdsourced Object Segmentation. In IEEE International Conference on Image Processing (ICIP), 2015. 2015.  (362.33 KB)
Canton-Ferrer C, Casas J, Pardàs M. Real-time 3D multi-person tracking using Monte Carlo surface sampling. In 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. 2010. pp. 40–46.
Alcoverro M, López-Méndez A, Casas J, Pardàs M. A real-time body tracking system for smart rooms. In ICME - 2011 IEEE International Conference on Multimedia and Expo. 2011. pp. 1–6.
Suau X, Casas J, Ruiz-Hidalgo J. Real-time head and hand tracking based on 2.5D data. In ICME - 2011 IEEE International Conference on Multimedia and Expo. 2011. pp. 1–6.  (1.59 MB)
López-Méndez A, Alcoverro M, Pardàs M, Casas J. Real-time upper body tracking with online initialization using a range sensor. In 2011 IEEE International Conference on Computer VIsion Workshops (ICCV Workshops). 2011. pp. 391–398.
Landabaso J-L, Pardàs M, Casas J. Reconstruction of 3D shapes considering inconsistent 2D silhouettes. In International Conference on Image Processing. 2006. pp. 1–4.
Herrera-Palacio A, Ventura C, Silberer C, Sorodoc I-T, Boleda G, Giró-i-Nieto X. Recurrent Instance Segmentation using Sequences of Referring Expressions. In NeurIPS workshop on Visually Grounded Interaction and Language (ViGIL). Vancouver, Canada; 2019.  (1.13 MB)
Salvador A, Bellver M, Baradad M, Campos V, Marqués F, Torres J, et al.. Recurrent Neural Networks for Semantic Instance Segmentation. In CVPR 2018 DeepVision Workshop. 2018.  (199.14 KB)
Salvador A, Bellver M, Baradad M, Campos V, Marqués F, Torres J, et al.. Recurrent Neural Networks for Semantic Instance Segmentation. In ECCV 2018 Women in Computer Vision (WiCV) Workshop. 2018.  (2.55 MB)
Salvador A, Baradad M, Giró-i-Nieto X, Marqués F. 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)
Marqués F, Vera V, Gasull A. Recursive image sequence segmentation by hierarchical models. In 12th IAPR International Conference on Pattern Recognition. 1994. pp. 523–525.
Pardàs M, Canet G. Refinement network for unsupervised on the scene foreground segmentation. In EUSIPCO European Signal Processing Conference. European Association for Signal Processing (EURASIP); 2020.
Bellver-Bueno M, Ventura C, Silberer C, Kazakos I, Torres J, Giró-i-Nieto X. RefVOS: A Closer Look at Referring Expressions for Video Object Segmentation. In arXiv. 2020.  (10.03 MB)
O'Connor N, Sav S, Adamek T, Mezaris V, Kompatsiaris I, Lui T, et al.. Region and object segmentation algorithms in the QIMERA segmentation platform. In Third International Workshop on Content-Based Multimedia Indexing. 2003. pp. 95–103.

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