Deep learning

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

Publications

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)
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: NIPS 2017 Women in Machine Learning Workshop. NIPS 2017 Women in Machine Learning Workshop. Long Beach, CA, USA; In Press.
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)
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. ICCV Workshop on Egocentric Perception, Interaction and Computing. ; In Press. (2.34 MB)
Mohedano E, McGuinness K, Giró-i-Nieto X, O'Connor N. Fine-tuning of CNN models for Instance Search with Pseudo-Relevance Feedback. In Press . (341.96 KB)
Salvador A, Baradad M, Giró-i-Nieto X, Marqués F. Recurrent Semantic Instance Segmentation. In Press . (1.15 MB)
Duarte A, Surís D, Salvador A, Torres J, Giró-i-Nieto X. Temporal-aware Cross-modal Embeddings for Video and Audio Retrieval. NIPS 2017 Women in Machine Learning Workshop (WiML). In Press . (155.1 KB)
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. ACM Multimedia 2017 Workshop on Multimodal Understanding of Social, Affective and Subjective Attributes. Mountain View, CA (USA): ACM SIGMM; 2017. (9.62 MB)

Pages