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Conference Paper
Górriz M, Aparicio A, Raventós B, López-Codina D, Vilaplana V, Sayrol E. Leishmaniasis Parasite Segmentation and Classification Using Deep Learning. In International Conference on Articulated Motion and Deformable Objects. Palma, Spain; 2018.
de Oliveira-Barra G, Giró-i-Nieto X, Cartas-Ayala A, Radeva P. LEMoRe: A Lifelog Engine for Moments Retrieval at the NTCIR-Lifelog LSAT Task. In The 12th NTCIR Conference, Evaluation of Information Access Technologies. Tokyo, Japan: National Institute of Informatics (NII); 2016.  (3.22 MB)
Lo Anguera J, Ruiz-Hidalgo J, Solé A, Casas JR, Lázaro JA, 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)
Ruiz-Hidalgo J, Salembier P. Long term selection of reference frame sub-blocks using MPEG-7 indexing metadata. In International Conference on Acoustics, Speech and Signal Processing, ICASSP 2007. Honolulu, Hawaii; 2007. pp. 669–672.  (111.99 KB)
Gurrin C, Giró-i-Nieto X, Radeva P, Dimiccoli M, Johansen H, Joho H, et al.. LTA 2016 - The First Workshop on Lifelogging Tools and Applications. In ACM Multimedia. Amsterdam, The Netherlands: ACM; 2016.  (385.75 KB)
Gurrin C, Giró-i-Nieto X, Radeva P, Dimiccoli M, Dang-Nguyen D-T, Joho H. LTA 2017: The Second Workshop on Lifelogging Tools and Applications. In ACM Multimedia. Mountain View, California USA: ACM; 2017.  (309.94 KB)
Morros JR, Vilaplana V, Ruiz-Hidalgo J, Casas JR, Gasull A, Marqués F, et al.. Materials transversals per a l'aprenentatge actiu de les matèries de processat d'imatge i vídeo. In Congrés Internacional de Docència Universitària i Innovació (CIDUI). Tarragona, Spain; 2014.  (853.76 KB)
Ruiz-Hidalgo J, Salembier P. Metadata-based coding tools for hybrid video codecs. In Picture Coding Symposium, PCS 2003. Saint-Malo, France; 2003. pp. 473–477.  (50.67 KB)
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)
de-Mas-Giménez G, Subirana A, García-Gómez P, Bernal Pérez E, Riu J, Casas JR, et al.. Multimodal data acquisition prototype for autonomous driving in adverse weather conditions. In XIV Reunión OptoElectrónica (OPTOEL 2025). Terrassa, Spain: OPTOEL; 2025.  (745.34 KB)
de-Mas-Giménez G, Subirana A, García-Gómez P, Bernal Pérez E, Riu J, Casas JR, et al.. Multimodal data acquisition prototype for autonomous driving in adverse weather conditions. In XIV Reunión OptoElectrónica (OPTOEL 2025). Terrassa, Spain: OPTOEL; 2025.  (745.34 KB)
García-Gómez P, Royo S, Rodrigo N, Casas JR, Riu J. Multimodal imaging System based on solid-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 JR, Riu J. Multimodal imaging System based on solid-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 JR, Riu J. Multimodal imaging System based on solid-State LiDAR for Advanced perception applications. In 10th International Symposium on Optronics in defence & security. Versailles, France: 3AF OPTRO2022; 2022.
Neumann J, Casas JR, 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)
de-Mas-Giménez G, Subirana A, García-Gómez P, Bernal Pérez E, Casas JR, Royo S. Multimodal sensing prototype for robust autonomous driving under adverse weather conditions. In SPIE Optical Metrology: Optical Measurement Systems for Industrial Inspection XIV. Munich, Germany: SPIE; 2025.
García-Gómez P, Rodrigo N, Riu J, Casas JR, Royo S. Multimodal solid-state LiDAR for advanced perception applications. In OPTOEL. 2021.  (786.62 KB)
García-Gómez P, Rodrigo N, Riu J, Casas JR, Royo S. Multimodal solid-state LiDAR for advanced perception applications. In OPTOEL. 2021.  (786.62 KB)
García-Gómez P, Rodrigo N, Riu J, Casas JR, Royo S. Multimodal solid-state LiDAR for advanced perception applications. In OPTOEL. 2021.  (786.62 KB)
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.
Suau X, Casas JR, Ruiz-Hidalgo J. Multi-resolution illumination compensation for foreground extraction. In 16th International Conference on Image Processing. 2009. pp. 3225–3228.  (2.16 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, Ruiz-Hidalgo J, Casas JR. 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)
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)
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)

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