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Filters: Author is Carlier, Axel  [Clear All Filters]
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A
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. Active Deep Learning for Medical Imaging Segmentation. In Medical Image meets NIPS 2017 Workshop. 2017.  (187.43 KB)
Carlier A, Salvador A, Cabezas F, Giró-i-Nieto X, Charvillat V, Marques O. Assessment of Crowdsourcing and Gamification Loss in User-Assisted Object Segmentation. Multimedia Tools and Applications. 2016;23(75).  (5.05 MB)
C
Carlier A, Salvador A, Giró-i-Nieto X, Marques O, Charvillat V. Click’n’Cut: Crowdsourced Interactive Segmentation with Object Candidates. In 3rd International ACM Workshop on Crowdsourcing for Multimedia (CrowdMM). Orlando, Florida (USA); 2014.  (1017.73 KB)
Cabezas F. Co-filtering human interaction and object segmentation. Carlier A, Salvador A, Giró-i-Nieto X, Charvillat V. 2015.  (1.82 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)
Salvador A. Crowdsourced Object Segmentation with a Game. Giró-i-Nieto X, Carlier A, Charvillat V, Marques O. 2013.  (1.34 MB)
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)
Q
Cabezas F, Carlier A, Salvador A, Giró-i-Nieto X, Charvillat V. Quality Control in Crowdsourced Object Segmentation. In IEEE International Conference on Image Processing (ICIP), 2015. 2015.  (362.33 KB)