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Giró-i-Nieto X. Learning Representations for Sign Language Videos. 2021.
Giró-i-Nieto X. Deep Self-Supervised Learning for All. 2020.
Giró-i-Nieto X. Image and Video Object Segmentation with Low Supervision. 2020.
Giró-i-Nieto X, Camps N, Marqués F. Region-based annotation tool using partition trees. In International Conference on Semantic and Digital Media Technologies. Genova, Italy; 2007. pp. 3–4.
Giró-i-Nieto X, Salla R, Vives X. Digimatge, a Rich Internet Application for video retrieval from a Multimedia Asset Management system. In 11th ACM SIGMM International Conference on Multimedia Information Retrieval. 2010.  (978.9 KB)
Giró-i-Nieto X, Ventura C. Image Segmentation with Deep Learning. 2020.
Giró-i-Nieto X, Marqués F. From Partition Trees to Semantic Trees. In International Workshop on Multimedia Content Representation, Classification and Security. 2006. pp. 306–313.
Giró-i-Nieto X. La convergència de la TV cap al PC. Barcelona, Catalonia: Diari Avui; 2004 .
Giró-i-Nieto X, Camps N. Solucions de programari lliure en un projecte d'adaptació de dades a XML. In V Jornades de Programari Lliure de la UPC. 2006.
Girvent B. Servei de vídeos a la carta per a l'iPhone. Giró-i-Nieto X. 2010.  (10.26 MB)
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)
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)
Gonzalez-i-Calabuig M. Curriculum Learning for Recurrent Video Object Segmentation. Giró-i-Nieto X, Ventura C. 2020.
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.
Górriz M. Active Deep Learning for Medical Imaging Segmentation. Giró-i-Nieto X, Carlier A, Faure E. 2017.  (2.84 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)
Górriz M, Antony J, McGuinness K, Giró-i-Nieto X, O'Connor N. Assessing Knee OA Severity with CNN attention-based end-to-end architectures. In International Conference on Medical Imaging with Deep Learning (MIDL) 2019. London, United Kingdom: JMLR; 2019.  (3.1 MB)
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, Giró-i-Nieto X, Carlier A, Faure E. Active Deep Learning for Medical Imaging Segmentation. In Medical Image meets NIPS 2017 Workshop. 2017.  (187.43 KB)
Granero M. A Video Database for Analyzing Affective Physiological Responses. Borth D, Weber B, Giró-i-Nieto X. 2019.  (23.66 MB)
Gris-Sarabia I. Pyxel, una llibreria per a l’anotació automàtica de fotografies. Giró-i-Nieto X. 2015.  (1.12 MB)
Grulke O, Casas JR, al et. Overview of Wendelstein 7-X high-performance operation. Nuclear Fusion. 2026;66(1):116003.  (3.51 MB)
Gudmundsson S, Pardàs M, Casas JR, Aanaes H, Larsen R. TOF Imaging in Smart Room Environments towards Improved People Tracking. In Computer Vision and Pattern Recognition: Workshop on Time of Flight based Computer Vision (CVPR/TOF-CV). 2008. pp. 1–6.
Gudmundsson S, Sveinsson J, Pardàs M, Aanaes H, Larsen R. Model-based hand gesture tracking in ToF image sequences. Lecture notes in computer science. 2010;6169/2010:118–127.
Gudmundsson S, Pardàs M, Casas JR, Sveinsson J, Aanaes H, Larsen R. Improved 3D reconstruction in smart-room environments using ToF imaging. Computer vision and image understanding. 2010;114(12):1376–1384.

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