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Conference Paper
Mosella-Montoro A, Ruiz-Hidalgo J. Residual Attention Graph Convolutional Network for Geometric 3D Scene Classification. In IEEE Conference on Computer Vision Workshop (ICCVW). Seoul, Korea: IEEE; 2019.  (314.43 KB)
Jiménez X, Figueiras F, Marqués F, Salembier P, Herance R, Rojas S, et al.. Registration of Multi-Modal Neuroimaging Datasets by Considering the Non-Overlapping Field of View into the NMI Calculation. In IEEE International Symposium on Biomedical Imaging, ISBI 2012. Barcelona, Spain; 2012.
Pujol-Miró A, Ruiz-Hidalgo J, Casas J. Registration of Images to Unorganized 3D Point Clouds Using Contour Cues. In The 25th European Signal Processing Conference (EUSIPCO 2017). Kos island, Greece: Eurasip; 2017.  (3.14 MB)
Maceira M, Morros JR, Ruiz-Hidalgo J. Region-based depth map coding using a 3D scene representation. In IEEE International Conference on Acoustics, Speech and Signal Processing. Brisbane, Australia; 2015.  (1.35 MB)
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)
Lo Anguera J, Lázaro JA, Ruiz-Hidalgo J, Solé A, Casas J, Sarmiento S, et al.. Quantum Machine Learning for Intrusion Detection in Software-Defined Networks. In 1st Intl. Workshop on Quantum Computing and Artificial Intelligence (QC+AI 2025) . Philadelphia: Association for the Advancement of Artificial Intelligence (AAAI); 2025.  (851.1 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)
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)
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)
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.
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.
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)
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)
Suau X, Ruiz-Hidalgo J, Casas J. Oriented radial distribution on depth data: Application to the detection of end-effectors. In IEEE International Conference on Acoustics, Speech, and Signal Processing. Kyoto, Japan; 2012.  (1.21 MB)
Ramon E, Escur J, Giró-i-Nieto X. Multi-View 3D Face Reconstruction in the Wild using Siamese Networks. In ICCV 2019 Workshop on 3D Face Alignment in the Wild Challenge Workshop (3DFAW). Seoul, South Corea: IEEE/CVF; 2019.  (227.12 KB)
Suau X, Casas J, Ruiz-Hidalgo J. Multi-resolution illumination compensation for foreground extraction. In 16th International Conference on Image Processing. 2009. pp. 3225–3228.  (2.16 MB)
Girbau A, Giró-i-Nieto X, Rius I, Marqués F. Multiple Object Tracking with Mixture Density Networks for Trajectory Estimation. In CVPR 2021 Robust Video Scene Understanding: Tracking and Video Segmentation (RVSU) Workshop. 2021.
García-Gómez P, Rodrigo N, Riu J, Casas J, Royo S. Multimodal solid-state LiDAR for advanced perception applications. In OPTOEL. 2021.
García-Gómez P, Rodrigo N, Riu J, Casas J, Royo S. Multimodal solid-state LiDAR for advanced perception applications. In OPTOEL. 2021.
García-Gómez P, Rodrigo N, Riu J, Casas J, Royo S. Multimodal solid-state LiDAR for advanced perception applications. In OPTOEL. 2021.
Neumann J, Casas J, Macho D, Ruiz-Hidalgo J. Multimodal Integration of Sensor Network. In Proceedings of 3rd IFIP Conference on Artificial Intelligence Applications & Innovations. Athens, Greece: Springer; 2006.  (401.58 KB)
García-Gómez P, Royo S, Rodrigo N, Casas J, Riu J. Multimodal imaging System based on sòlid-State LiDAR for Advanced perception applications. In 10th International Symposium on Optronics in defence & security. Versailles, France: 3AF OPTRO2022; 2022.
García-Gómez P, Royo S, Rodrigo N, Casas J, Riu J. Multimodal imaging System based on sòlid-State LiDAR for Advanced perception applications. In 10th International Symposium on Optronics in defence & security. Versailles, France: 3AF OPTRO2022; 2022.
García-Gómez P, Royo S, Rodrigo N, Casas J, Riu J. Multimodal imaging System based on sòlid-State LiDAR for Advanced perception applications. In 10th International Symposium on Optronics in defence & security. Versailles, France: 3AF OPTRO2022; 2022.
Rolón J, Ortega A, Salembier P. Modeling of contours in wavelet domain for generalized lifting image compression. In IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009. Taipei, Taiwan; 2009.  (226.33 KB)

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