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G
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, 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, 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, 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)
Gudmundsson S, Pardàs M, Casas J, 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 J, 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.
Gullón N. Retinal lesions segmentation using CNNs and adversarial training. Vilaplana V. 2018.
Gullón N, Vilaplana V. Retinal lesions segmentation using CNNs and adversarial training. In International Symposium on Biomedical Imaging (ISBI 2019). 2019.
Gurrin C, Giró-i-Nieto X, Radeva P, Dimiccoli M, Dang-Nguyen D-T, Joho H. LTA 2017: The Second Workshop on Lifelogging Tools and Applications. In ACM Multimedia. Mountain View, California USA: ACM; 2017.  (309.94 KB)
Gurrin C, Giró-i-Nieto X, Radeva P, Dimiccoli M, Johansen H, Joho H, et al.. LTA 2016 - The First Workshop on Lifelogging Tools and Applications. In ACM Multimedia. Amsterdam, The Netherlands: ACM; 2016.  (385.75 KB)
D Gutiérrez C. Comparació d'algoritmes de classificació de tipus de pla en imatges de futbol. Varas D, Marqués F. 2014.
H
Haro G, Pardàs M. 3D shape from multi-camera views by error projection minimization. In 10th Workshop on Image Analysis for Multimedia Interactive Services. 2010. pp. 250–253.
Haro G, Randall G, Sapiro G. Stratification Learning: Detecting Mixed Density and Dimensionality in High Dimensional Point Clouds. In Neural Information Processing Systems NIPS. Montreal: NIPS; 2007.  (702.08 KB)
Haro G, Pardàs M. Shape from incomplete silhouettes based on the reprojection error. Image and vision computing. 2010;28:1354–1368.

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