Publications

Book Chapters & Books top

2017
Bellot P, Meyer P. Efficient Combination of Pairwise Feature Networks. In: Battaglia D, Guyon I, Lemaire V, Orlandi J, Ray B, Soriano J. Neural Connectomics Challenge. Springer International Publishing; 2017.
Casamitjana A, Puch S, Aduriz A, Vilaplana V. 3D Convolutional Neural Networks for Brain Tumor Segmentation: a comparison of multi-resolution architectures. In Lecture Notes in Computer Vision. Springer; 2017. pp. 150-161.
2014
Schreer O, Macq J, Niamut O, Ruiz-Hidalgo J, Shirley B, Thallinger G, et al.. Media Production, Delivery and Interaction for Platform Independent Systems. Wiley; 2014.
2013
León M, Vilaplana V, Gasull A, Marqués F. Region-based caption text extraction. In Lecture Notes in Electrical Engineering (Analysis, Retrieval and Delivery of Multimedia Content). New York: Springer; 2013. pp. 21-36.
2012
Gallego J, Pardàs M, Solano M. Foreground objects segmentation for moving camera scenarios based on SCGMM. In Computational Intelligence for Multimedia Understanding. Berlin Heidelberg: Springer; 2012. pp. 195-206.

Conference Papers top

Submitted
Campos V, Jou B, Giró-i-Nieto X, Torres J, Chang S-F. Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks. In Submitted.  (427.72 KB)
In Press
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; In Press.  (519.78 KB)
Bellver M, Caelles S, Maninis K-K, Pont-Tuset J, Giró-i-Nieto X. Detection-aided liver lesion segmentation using deep learning. In ML4H: Machine Learning for Health Workshop at NIPS 2017. In Press.  (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. In Press.  (187.43 KB)
Assens M, McGuinness K, Giró-i-Nieto X, O'Connor N. SaltiNet: Scan-path Prediction on 360 Degree Images using Saliency Volumes. In ICCV Workshop on Egocentric Perception, Interaction and Computing. In Press.  (2.34 MB)