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Author Title Type [ Year(Asc)]
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)
Bellver M, Maninis K-K, Pont-Tuset J, Torres J, Giró-i-Nieto X, Van Gool L. Detection-aided liver lesion segmentation using deep learning. In ML4H: Machine Learning for Health Workshop at NIPS 2017. 2017.  (1 MB)
Bellver M. Detection-aided medical image segmentation using deep learning. Maninis K-K, Pont-Tuset J, van Gool L, Giró-i-Nieto X, Torres J. 2017.  (7.07 MB)
Lin X, Campos V, Giró-i-Nieto X, Torres J, Canton-Ferrer C. Disentangling Motion, Foreground and Background Features in Videos. In CVPR 2017 Workshop Brave New Motion Representations. 2017.  (370.64 KB)
Campos V, Sastre F, Yagües M, Bellver M, Giró-i-Nieto X, Torres J. Distributed training strategies for a computer vision deep learning algorithm on a distributed GPU cluster. In International Conference on Computational Science (ICCS). Zurich, Switzerland: Elsevier; 2017.  (576.67 KB)
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.
Castelló DRodríguez. Extracción de cráneo en imágenes de resonancia magnética del cerebro utilizando una red neuronal convolucional 3D. Casamitjana A, Vilaplana V. 2017.
Mohedano E, McGuinness K, Giró-i-Nieto X, O'Connor N. Fine-tuning of CNN models for Instance Search with Pseudo-Relevance Feedback. Long Beach, CA, USA: NIPS 2017 Women in Machine Learning Workshop; 2017.  (341.96 KB)
Campos V, Jou B, Giró-i-Nieto X. From Pixels to Sentiment: Fine-tuning CNNs for Visual Sentiment Prediction. Image and Vision Computing. 2017;.  (1.92 MB)
Bellver M, Giró-i-Nieto X, Marqués F, Torres J. Hierarchical Object Detection with Deep Reinforcement Learning. In Deep Learning for Image Processing Applications. Amsterdam, The Netherlands: IOS Press; 2017.
Frias-Velazquez A, Morros JR, García M, Philips W. Hierarchical stack filtering: a bitplane-based algorithm for massively parallel processors. Journal of Real-Time Image Processing. 2017;.  (868.82 KB)
Romero-Lopez A, Burdick J, Giró-i-Nieto X, Marques O. The Impact of Segmentation on the Accuracy and Sensitivity of a Melanoma Classifier based on Skin Lesion Images. In Annual Meeting of the Society of Imaging Informatics in Medicine (SIIM). Pittsburgh, PA, USA: Society of Imaging Informatics for Medicine; 2017.  (433.28 KB)
Arazo E. The impact of visual saliency prediction in image classification. McGuinness K, Mohedano E, Giró-i-Nieto X. 2017.  (828.66 KB)
Giró-i-Nieto X, Pascual-deLaPuente S, Miró V, Esteve O. La meitat de les notícies que consumirem el 2022 seran falses. Sant Joan Despí: Corporació Catalana de Mitjans Audiovisuals; 2017.
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)
Campos V. Learning to Skip State Updates in Recurrent Neural Networks. Jou B, Chang S-F, Giró-i-Nieto X. 2017.  (961.49 KB)
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)
Petrone P, Vilaplana V, Casamitjana A, Sanchez-Escobedo D, Tucholka A, Cacciaglia R, et al.. Magnetic Resonance Imaging as a valuable tool for Alzheimer's disease screening. Alzheimer's & Dementia: The Journal of the Alzheimer's Association. 2017;13(7):P1245.
Petrone P, Vilaplana V, Casamitjana A, Tucholka A, Falcon C, Cacciaglia R, et al.. Magnetic Resonance Imaging as a valuable tool for Alzheimer's disease screening. In Alzheimer’s Association International Conference, London, 2017. 2017.
Perez-Pellitero E. Manifold Learning for Super Resolution. Rosenhahn B, Ruiz-Hidalgo J. [Hannover]: Leibniz Universität Hannover; 2017.  (18.6 MB)
Catà M, Casamitjana A, Sánchez I, Combalia M, Vilaplana V. Masked V-Net: an approach to brain tumor segmentation. In Multimodal Brain Tumor Segmentation Benchmark, Brain-lesion Workshop, MICCAI 2017 . 2017.
Perez-Pellitero E, Salvador J, Ruiz-Hidalgo J, Rosenhahn B. Method for upscaling an image and apparatus for upscaling an image. 2017.
Salvador A. MIT is building a system that can identify a recipe using pictures of food. Techcrunch; 2017.
Fernàndez D, Woodward A, Campos V, Jou B, Giró-i-Nieto X, Chang S-F. More cat than cute? Interpretable Prediction of Adjective-Noun Pairs. In ACM Multimedia 2017 Workshop on Multimodal Understanding of Social, Affective and Subjective Attributes. Mountain View, CA (USA): ACM SIGMM; 2017.  (9.62 MB)
Compri M. Multi-label Remote Sensing Image Retrieval based on Deep Features. Demir B, Giró-i-Nieto X. 2017.  (1.99 MB)