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Gallego J, Salvador J, Casas JR, Pardàs M. Joint multi-view foreground segmentation and 3D reconstruction with tolerance loop. In IEEE International Conference on Image Processing. 2011. pp. 997–1000.
Pardàs M, Salembier P. Joint region and motion estimation with morphological tools. In International Symposium on Mathematical Morphology, ISMM 1994. Fontainebleau, France; 1994.
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Giró-i-Nieto X. La convergència de la TV cap al PC. Barcelona, Catalonia: Diari Avui; 2004 .
Giró-i-Nieto X, Pascual-deLaPuente S, Miró V, Esteve O. La meitat de les notícies que consumirem el 2022 seran falses. Sant Joan Despí: Corporació Catalana de Mitjans Audiovisuals; 2017.
de Oliveira-Barra G, Lux M, Giró-i-Nieto X. Large Scale Content-Based Video Retrieval with LIvRE. In 14th International Workshop on Content-based Multimedia Indexing (CBMI). Bucharest, Romania: IEEE; 2016.  (909.81 KB)
Figueras P, Haas C, Capdevila C, Vilaplana V. Las Mancomunidades en España. Boletí de la Asociación de Geógrafos Españoles. 2005;:151–176.
Cabrera M, Giró-i-Nieto X, Rey F, Gasull A, Casas JR, Villares J, et al.. LAVICAD: LAboratori VIrtual de Comunicacions Analògiques i Digitals. In Jornada d'Innovació Docent - RIMA (JID-RIMA). Barcelona, Catalonia: UPCommons; 2009.
Cabrera M, Giró-i-Nieto X, Rey F. Lavicad: laboratorio virtual de comunicaciones analógicas y digitales. In XXIII Simposium Nacional de la Unión Científica Internacional de Radio. Madrid, Spain; 2008. pp. 1–4.  (163.98 KB)
Cabrera M, Fernandez J, Berzosa C, Francisco V, Gasull A. LaViCAD: LABORATORIO VIRTUAL DE COMUNICACIONES ANALÓGICAS Y DIGITALES. In 4rt. Congrés Internacional de Docència Unversitària i Innovació. 2004. pp. 1–20.
Campos V. Layer-wise CNN Surgery for Visual Sentiment Prediction. Salvador A, Jou B, Giró-i-Nieto X. 2015.  (1.51 MB)
Pina O, Vilaplana V. Layer-wise self-supervised learning on graphs. In KDD 2023 Workshop on Deep Learning on Graphs: Methods and Applications (DLG-KDD 2023). Long Beach, USA; 2023.
Pina O, Vilaplana V. Layer-Wise Training of Graph Neural Networks With Self-Supervised Learning. IEEE Transactions on Neural Networks and Learning Systems,. 2025;.
Muschik P. Learn2Sign : sign language recognition and translation using human keypoint estimation and transformer model. Duarte A, Giró-i-Nieto X. 2020.  (5.32 MB)
Salvador A, Hynes N, Aytar Y, Marin J, Ofli F, Weber I, et al.. Learning Cross-modal Embeddings for Cooking Recipes and Food Images. In CVPR. Honolulu, Hawaii, USA: CVF / IEEE; 2017.  (3.37 MB)
Giró-i-Nieto X. Learning Representations for Sign Language Videos. 2021.
Alarcón E, Bragos R, Sayrol E. Learning to conceive, design, implement and operate circuits and systems. In 2011 IEEE International Symposium on Circuits and Systems. 2011. pp. 1183–1186.
Pujol-Miró A. Learning to extract features for 2D-3D multimodal registration. Casas JR, Ruiz-Hidalgo J. Universitat Politècnica de Catalunya (UPC); 2020.  (14.22 MB)
Campos V. Learning to Skip State Updates in Recurrent Neural Networks. Jou B, Chang S-F, Giró-i-Nieto X. 2017.  (961.49 KB)
Giró-i-Nieto X. Learning Where and When to Look. 2018.
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.
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.
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)

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