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2016
Casamitjana A, Puch S, Aduriz A, Sayrol E, Vilaplana V. 3D Convolutional Neural Networks for Brain Tumor Segmentation. In MICCAI 2016 - Brain Lesion Workshop (BrainLes), Multimodal Brain Tumor Segmentation Challenge (BRATS). 2016.  (226.04 KB)
Aduriz A. Analysis of the dynamics of gray matter reduction in Alzheimer's Disease. Vilaplana V. 2016.  (9.47 MB)
Poignant J, Budnik M, Bredin H, Barras C, Stefas M, Bruneau P, et al.. The CAMOMILE Collaborative Annotation Platform for Multi-modal, Multi-lingual and Multi-media Documents. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016). Portorož (Slovenia); 2016.  (679.91 KB)
Marsden M, Mohedano E, McGuinness K, Calafell A, Giró-i-Nieto X, O'Connor N, et al.. Dublin City University and Partners' Participation in the INS and VTT Tracks at TRECVid 2016. In TRECVID Workshop 2016. Gaithersburg, MD, USA; 2016.
Marsden M, Mohedano E, McGuinness K, Calafell A, Giró-i-Nieto X, O'Connor N, et al.. Dublin City University and Partners' Participation in the INS and VTT Tracks at TRECVid 2016. In TRECVID Workshop 2016. Gaithersburg, MD, USA; 2016.
Nespereira A. Siamese Convolutional Neural Network for Learning Object Similarities in RGB-D Images. Husain F, Adamek T, Giró-i-Nieto X. 2016.
Puch S, Aduriz A, Casamitjana A, Vilaplana V, Gispert JD. Voxelwise nonlinear regression toolbox for neuroimage analysis: Application to aging and neurodegenerative disease modeling. In NIPS 2016 Workshop on Machine Learning for Health. 2016.  (1.6 MB)
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.
Jiménez A. Class Weighted Convolutional Features for Image Retrieval. Giró-i-Nieto X, Álvarez JM. 2017.
Jiménez A, Álvarez JM, Giró-i-Nieto X. Class Weighted Convolutional Features for Visual Instance Search. In 28th British Machine Vision Conference (BMVC). London, UK; 2017.  (3.56 MB)
Martínez PA, Lin X, Castelán M, Casas J, Arechavaleta G. A closed-loop approach for tracking a humanoid robot using particle filtering and depth data. Intelligent Service Robotics. 2017;10(4):297–312.  (88.92 KB)
Arazo E. The impact of visual saliency prediction in image classification. McGuinness K, Mohedano E, Giró-i-Nieto X. 2017.  (828.66 KB)
Salvador A, Hynes N, Aytar Y, Marin J, Ofli F, Weber I, et al.. Learning Cross-modal Embeddings for Cooking Recipes and Food Images. In CVPR. Honolulu, Hawaii, USA: CVF / IEEE; 2017.  (3.37 MB)
Pont-Tuset J, Arbelaez P, Barron JT, Marqués F, Malik J. Multiscale Combinatorial Grouping for Image Segmentation and Object Proposal Generation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 2017;38(7):128-140.
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. Venice, Italy: IEEE; 2017.  (2.34 MB)
Assens M. The Temporal Dimension of Visual Attention Models. McGuinness K, Giró-i-Nieto X, O'Connor NE. 2017.  (6.98 MB)

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