Search Publication

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.

• Google Scholar
• BibTex

Geleta M, Mas-Montserrat D, Giró-i-Nieto X, Ioannidis AG. Deep Variational Autoencoders for Population Genetics. 2023;.

• DOI
• Google Scholar
• BibTex

Giró-i-Nieto X. Deep Self-Supervised Learning for All. 2020.

• Google Scholar
• BibTex

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.

• Google Scholar
• BibTex

 (8.55 MB)

Deep Learning Representations for All (a.k.a. the AI hype). 2019.

• Google Scholar
• BibTex

 (10.95 MB)

Giró-i-Nieto X. Deep Learning Representations for All (a.ka. the AI hype). 2021.

• Google Scholar
• BibTex

 (10.95 MB)

Balibrea M. Deep learning for semantic segmentation of airplane hyperspectral imaging. Salgueiro L, Vilaplana V. 2019.

• Google Scholar
• BibTex

Ramon E. Deep Learning algorithms for 3D Reconstruction and Simulation of Aesthetic Procedures. Giró-i-Nieto X. 2018.

• Google Scholar
• BibTex

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.

• Google Scholar
• BibTex

Duarte A. Data and methods for a visual understanding of sign languages. Torres J, Giró-i-Nieto X. Signal Theory and Communications. 2022.

• Google Scholar
• BibTex

Gonzalez-i-Calabuig M. Curriculum Learning for Recurrent Video Object Segmentation. Giró-i-Nieto X, Ventura C. 2020.

• Google Scholar
• BibTex

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.

• Google Scholar
• BibTex

 (1.76 MB)

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.

• Google Scholar
• BibTex

 (1.09 MB)

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.

• Google Scholar
• BibTex

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.

• Google Scholar
• BibTex

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.

• DOI
• Google Scholar
• BibTex

 (1.22 MB)

Salvador A. Crowdsourced Object Segmentation with a Game. Giró-i-Nieto X, Carlier A, Charvillat V, Marques O. 2013.

• Google Scholar
• BibTex

 (1.34 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.

• DOI
• Google Scholar
• BibTex

 (392.69 KB)

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.

• DOI
• Google Scholar
• BibTex

 (1.07 MB)

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.

• Google Scholar
• BibTex

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.

• Google Scholar
• BibTex

 (521.82 KB)

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.

• DOI
• Google Scholar
• BibTex

 (3.95 MB)

Tenorio V, Bonet E, Botet F, Marqués F, Amat I, Gratacos E. Correlation between a semiautomated method based on ultrasound texture analysis and standard ultrasound diagnosis using white matter damage in preterm neonates as a model. Journal of ultrasound in medicine. 2011;30:1365–1377.

• Google Scholar
• BibTex

Landabaso J-L, Pardàs M. Cooperative background modelling using multiple cameras towards human detection in smart-room. In 14th European Signal Processing Conference. 2006. pp. 1–5.

• Google Scholar
• BibTex

Oliveras A. Contribució a l'anàlisi morfològica d'imatges amb operadors connexes. Salembier P. Universitat Politècnica de Catalunya (UPC); 1997.

• Google Scholar
• BibTex