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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)
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)
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López-Palma M, Morros JR, Gago J, Corbalán M. Oriented trajectories as a method for audience measurement. In 27th International Symposium on Industrial Electronics (ISIE). Cairns, Australia: IEEE; 2018.  (976.97 KB)
Lozano J, Jiménez H, Torres S, Biosca P, Fontanet B, Pinazo J, et al.. Optical Phased Array Antenna Apodization for Lidar in Autonomous Vehicles. In XIII Reunión OptoElectrónica. Sevilla, Spain: OPTOEL; 2023.
Lozano J, Jiménez H, Torres S, Biosca P, Fontanet B, Pinazo J, et al.. Optical Phased Array Antenna Apodization for Lidar in Autonomous Vehicles. In XIII Reunión OptoElectrónica. Sevilla, Spain: OPTOEL; 2023.
Lozano J, Jiménez H, Torres S, Biosca P, Fontanet B, Pinazo J, et al.. Optical Phased Array Antenna Apodization for Lidar in Autonomous Vehicles. In XIII Reunión OptoElectrónica. Sevilla, Spain: OPTOEL; 2023.
Lin X, Casas J, Pardàs M. One Shot Learning for Generic Instance Segmentation in RGBD Videos. In International Conference on Computer Vision, Theory and Applications. Prague: SciTePress; 2019.  (1.64 MB)
Vilaplana V, Marqués F, León M, Gasull A. Object detection and segmentation on a hierarchical region-based image representation. In 2010 IEEE International Conference on Image Processing. 2010. pp. 3393–3396.
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Haro G, Lenglet C, Sapiro G, Thompson P. On the non-uniform complexity of brain connectivity. In 5th IEEE International Symposium on Biomedical Imaging (ISBI 2008). Paris: IEEE; 2008.  (2.2 MB)
Casamitjana A, Vilaplana V, Puch S, Aduriz A, Lopez C, Operto G, et al.. NeAT: a nonlinear analysis toolbox for neuroimaging. Neuroinformatics. 2020;.
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Navarro S, López-Méndez A, Alcoverro M, Casas J. Multi-view Body Tracking with a Detector-Driven Hierarchical Particle Filter. In: Perales F, Fisher R, Moeslund T. Lecture Notes in Computer Science: Articulated Motion and Deformable Objects. Berlin / Heidelberg: Springer ; 2012. pp. 82-91.
Navarro S, López-Méndez A, Alcoverro M, Casas J. Multi-view Body Tracking with a Detector-Driven Hierarchical Particle Filter. In 7th International Conference AMDO 2012. Port d'Andratx, Mallorca: Springer; 2012.
López-Méndez A, Canton-Ferrer C, Casas J. Multi-person 3D Tracking with Particle Filters on Voxels. In 2007 International Conference on Acoustics, Speech and Signal Processing. 2007.  (505.25 KB)
Luque J, Morros JR, Anguita J, Farrús M, Macho D, Marqués F, et al.. Multimodal Person Identification in a Smart Room. In IV Jornadas en Tecnología del Habla. 2006. pp. 327–331.
Salah A, Morros JR, Luque J, Segura C, Hernando J, Ambekar O, et al.. Multimodal identification and localization of users in a smart environment. Journal on Multimodal user interfaces. 2008;2:75–91.
Alonso-González A, López-Martínez C, Salembier P. Multidimensional SAR Data Analysis Based on Binary Partition Trees and the Covariance Matrix Geometry. In International Radar Conference 2014. Lille, France: SEE; 2014.  (654.95 KB)
López-Méndez A, Casas J. Model-Based Recognition of Human Actions by Trajectory Matching in Phase Spaces. Image and Vision Computing. 2012;.  (960.26 KB)
Gudmundsson S, Sveinsson J, Pardàs M, Aanaes H, Larsen R. Model-based hand gesture tracking in ToF image sequences. Lecture notes in computer science. 2010;6169/2010:118–127.
López-Méndez A, Gall J, Casas J, van Gool L. Metric Learning from Poses for Temporal Clustering of Human Motion. In British Machine Vision Conference 2012. Guildford, UK; 2012.
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Salembier P, Foucher S, López-Martínez C. Low-level processing of PolSAR images with binary partition trees. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2014. Quebec, Canada: IEEE; 2014.  (1.9 MB)
de Oliveira-Barra G. LIvRE: A Video Extension to the LIRE Content-Based Image Retrieval System. Giró-i-Nieto X, Lux M. 2015.  (8.3 MB)
Lo Anguera J, Ruiz-Hidalgo J, Solé A, Casas J, Lázaro JAntonio, Sarmiento S, et al.. Leveraging Quantum Machine Learning for Intrusion Detection in Software-Defined Networks. In IEEE International Conference on Machine Learning for Communication and Networking. Barcelona: IEEE; 2025.  (1.41 MB)
Lo Anguera J, Ruiz-Hidalgo J, Solé A, Casas J, Lázaro JAntonio, Sarmiento S, et al.. Leveraging Quantum Machine Learning for Intrusion Detection in Software-Defined Networks. In IEEE International Conference on Machine Learning for Communication and Networking. Barcelona: IEEE; 2025.  (1.41 MB)
Lo Anguera J, Ruiz-Hidalgo J, Solé A, Casas J, Lázaro JAntonio, Sarmiento S, et al.. Leveraging Quantum Machine Learning for Intrusion Detection in Software-Defined Networks. In IEEE International Conference on Machine Learning for Communication and Networking. Barcelona: IEEE; 2025.  (1.41 MB)
Górriz M, Aparicio A, Raventós B, Vilaplana V, Sayrol E, López-Codina D. Leishmaniasis Parasite Segmentation and Classification Using Deep Learning. In Articulated Motion and Deformable Objects. Springer International Publishing; 2018. pp. 53-62.

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