Deep learning

Type Start End
Internal Jun 2014 Dec 2020
Responsible URL
Xavier Giró-i-Nieto

Publications

Combalia M, Bustos J, Vilaplana V. Robust Patch-Based Histology Microscopy Image Classi cation. In: International Conference on Image Analysis and Recognition ICIAR 2018. International Conference on Image Analysis and Recognition ICIAR 2018. ; Submitted.
Sánchez I, Vilaplana V. Brain MRI Super-Resolution using Generative Adversarial Networks. In: IEEE International Symposium on Biomedical Imaging (ISBI). IEEE International Symposium on Biomedical Imaging (ISBI). ; Submitted.
Shou Z, Pan J, Chan J, Miyazawa K, Mansour H, Vetro A, Giró-i-Nieto X, Chang S-F. Online Action Detection in Untrimmed, Streaming Videos - Modeling and Evaluation. In: ; Submitted. (2.05 MB)
Surís D, Duarte A, Salvador A, Torres J, Giró-i-Nieto X. Cross-modal Embeddings for Video and Audio Retrieval. In: ; Submitted.
Salvador A, Bellver M, Baradad M, Marqués F, Torres J, Giró-i-Nieto X. Recurrent Neural Networks for Semantic Instance Segmentation. In: ; Submitted. (2.55 MB)
Mohedano E, McGuinness K, Giró-i-Nieto X, O'Connor N. Saliency Weighted Convolutional Features for Instance Search. In: ; Submitted. (3.8 MB)
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. ML4H: Machine Learning for Health Workshop at NIPS 2017. ; In Press. (1 MB)
Fojo D, Campos V, Giró-i-Nieto X. Comparing Fixed and Adaptive Computation Time for Recurrent Neural Network. In: International Conference on Learning Representations (ICLR). International Conference on Learning Representations (ICLR). Vancouver, Canada; In Press. (515.54 KB)
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: International Conference on Learning Representations (ICLR). International Conference on Learning Representations (ICLR). ; In Press.
Giró-i-Nieto X. Learning Where and When to Look. 2018 .

Pages