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2022
Pinazo J, Lerín A, de Gibert FXavier, Moliner Á, Sevilla D, Jurado A, et al.. Perception in the era of Autonomous Vehicles. In Photonics 4 Smart Cities, SCEWC 2022. Barcelona: Photonics21; 2022.  (2.34 MB)
Geleta M, Puntí C, McGuinness K, Pons J, Canton-Ferrer C, Giró-i-Nieto X. PixInWav: Residual Steganography for Hiding Pixels in Audio. In ICASSP. 2022.  (5.77 MB)
Bartusiak E, Barrabés M, Rymbe A, Gimbernat J, López C, Barberis L, et al.. Predicting Dog Phenotypes from Genotypes. In 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'22). 2022.  (1.17 MB)
2019
Mas I, Morros JR, Vilaplana V. Picking groups instead of samples: A close look at Static Pool-based Meta-Active Learning. In ICCV Workshop - MDALC 2019. Seoul, South Korea; 2019.  (911.15 KB)
LLadós J, Bou E, Bressan M, Sala O, Giró-i-Nieto X. The pillars of the Computer Vision Catalan Alliance. 2019.
Ramon E, Villar J, Ruiz G, Batard T, Giró-i-Nieto X. Plug-and-Train Loss for Model-Based Single View 3D Reconstruction. BMVA Technical Meeting: 3D vision with Deep Learning. London, UK: UPC; 2019.  (3.97 MB)
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.
Petrone P, Casamitjana A, Falcon C, Cànaves MArtigues, Operto G, Cacciaglia R, et al.. Prediction of amyloid pathology in cognitively unimpaired individuals using voxelwise analysis of longitudinal structural brain MRI. Alzheimer's Research & Therapy. 2019;11(1).
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)
2016
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)

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