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Eugenio F, Marqués F, Suarez E, Rovaris E. A contour matching approach for accurate NOAA-AVHRR image navigation. In 10th European Signal Processing Conference (EUSIPCO 2000). 2000.
Eugenio F, Marqués F, Marcello J. A contour-based approach to automatic and accurate registration of multitemporal and multisensor satellite imagery. In International Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE. 2002. pp. 1–3.
Nunes P, Marqués F, Pereira F, Gasull A. A contour-based approach to binary shape coding using a multiple grid chain code. Signal processing: image communication. 2000;15:585–599.
Hernandez C, Combalia M, Puig S, Malvehy J, Vilaplana V. Contrastive and attention-based multiple instance learning for the prediction of sentinel lymph node status from histopathologies of primary melanoma tumours. In Cancer Prevention through early detecTion (Caption) Workshop at 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022). 2022.
Oliveras A. Contribució a l'anàlisi morfològica d'imatges amb operadors connexes. Salembier P. Universitat Politècnica de Catalunya (UPC); 1997.
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.
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.
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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