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Pujol-Miró A, Casas J, Ruiz-Hidalgo J. Correspondence matching in unorganized 3D point clouds using Convolutional Neural Networks. Image and Vision Computing. 2019;83-84.  (3.95 MB)
Górriz M, Giró-i-Nieto X, Carlier A, Faure E. Cost-Effective Active Learning for Melanoma Segmentation. In ML4H: Machine Learning for Health Workshop at NIPS 2017. Long Beach, CA, USA; 2017.  (521.82 KB)
Salembier P, Llach J, Garrido L. Creation of visual segment trees for MPEG-7 Description Schemes. In International Symposium on Image / video Communications over Fixed and Mobile Networks, ISIVC'2000. Rabat, Morocco; 2000. pp. 127–134.
Surís D, Duarte A, Salvador A, Torres J, Giró-i-Nieto X. Cross-modal Embeddings for Video and Audio Retrieval. In ECCV 2018 Women in Computer Vision Workshop. Munich, Germany: Springer; 2018.  (1.07 MB)
Duarte A. Cross-modal Neural Sign Language Translation. In: Torres J, Giró-i-Nieto X. Proceedings of the 27th ACM International Conference on Multimedia - Doctoral Symposium. Nice, France: ACM; 2019.  (392.69 KB)
Salvador A, Carlier A, Giró-i-Nieto X, Marques O, Charvillat V. Crowdsourced Object Segmentation with a Game. In ACM Workshop on Crowdsourcing for Multimedia (CrowdMM). Barcelona; 2013.  (1.22 MB)
Salvador A. Crowdsourced Object Segmentation with a Game. Giró-i-Nieto X, Carlier A, Charvillat V, Marques O. 2013.  (1.34 MB)
Marqués F. Cuantificacion de lesiones de columna vertebral a partir de imagenes. In VIII Simposium Nacional de la Unión Científica Internacional de Radio. 1993. pp. 433–437.
Marqués F. Cuantificador vectorial con clasificador difuso para la codificacion. In VIII Simposium Nacional de la Unión Científica Internacional de Radio. 1993. pp. 369–373.
Salvador A, Zeppelzauer M, Manchon-Vizuete D, Calafell A, Giró-i-Nieto X. Cultural Event Recognition with Visual ConvNets and Temporal Models. In CVPR ChaLearn Looking at People Workshop 2015. 2015.  (1.09 MB)
Gonzalez-i-Calabuig M. Curriculum Learning for Recurrent Video Object Segmentation. Giró-i-Nieto X, Ventura C. 2020.
Gonzalez-i-Calabuig M, Ventura C, Giró-i-Nieto X. Curriculum Learning for Recurrent Video Object Segmentation. In ECCV 2020 Women in Computer Vision Workshop. 2020.  (1.76 MB)
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Duarte A. Data and methods for a visual understanding of sign languages. Torres J, Giró-i-Nieto X. Signal Theory and Communications. 2022.
Vidal J, Sayrol E, Maribel M. Data Hidding in Color Images using Perceptual Models. In COST 254 Intelligent Processing and Facilities for Communications Terminals. 2000. pp. 21–25.
Ramon E. Deep Learning algorithms for 3D Reconstruction and Simulation of Aesthetic Procedures. Giró-i-Nieto X. 2018.
Balibrea M. Deep learning for semantic segmentation of airplane hyperspectral imaging. Salgueiro L, Vilaplana V. 2019.
Deep Learning Representations for All (a.k.a. the AI hype). 2019.  (10.95 MB)
Giró-i-Nieto X. Deep Learning Representations for All (a.ka. the AI hype). 2021.  (10.95 MB)
Campos V. Deep Learning that Scales: Leveraging Compute and Data. Torres J, Giró-i-Nieto X. Computer Architecture. [Barcelona, Catalonia]: Universitat Politècnica de Catalunya; 2020.  (8.55 MB)
Giró-i-Nieto X. Deep Self-Supervised Learning for All. 2020.
Geleta M, Mas-Montserrat D, Giró-i-Nieto X, Ioannidis AG. Deep Variational Autoencoders for Population Genetics. Submitted;.
Geleta M, Mas-Montserrat D, Bustamante C, Giró-i-Nieto X, Ioannidis AG. Deep variational autoencoders for population genetics: applications in classification, imputation, dimensionality reduction, and novel lossless data compression. In American Society of Human Genetics (ASHG). Virtual: ASHG; 2021.
Broquetas A, Hernando J, Marqués F, Romeu J. Definició d'un Master Internacional de Recerca: la proposta del Departament de Teoria del Senyal i Comunicacions. In Jornada de reflexión y trabajo sobre el modelo docente de la UPC en el Espacio Europeo de ecuación Superior (EEES). 2004. pp. 1–3.
Gomez P, Mohedano E, McGuinness K, Giró-i-Nieto X, O'Connor N. Demonstration of an Open Source Framework for Qualitative Evaluation of CBIR Systems. In ACM Multimedia. Seoul, South Korea: ACM; 2018.  (11.05 MB)
Lin X, Sanchez-Escobedo D, Casas J, Pardàs M. Depth Estimation and Semantic Segmentation from a Single RGB Image Using a Hybrid Convolutional Neural Network. Sensors. 2019;19(8).  (4.75 MB)

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