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Recent Submissions
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SaltiNet: scan-path prediction on 360 degree images using saliency volumes
(IEEE Press, 2018)
Conference lecture
Open AccessWe introduce SaltiNet, a deep neural network for scan-path prediction trained on 360-degree images. The model is based on a temporal-aware novel representation of saliency information named the saliency volume. The first ... -
Cost-effective active learning for melanoma segmentation
(2017)
Conference lecture
Open AccessWe propose a novel Active Learning framework capable to train effectively a convolutional neural network for semantic segmentation of medical imaging, with a limited amount of training labeled data. Our contribution is a ... -
Towards large scale multimedia indexing: a case study on person discovery in broadcast news
(Association for Computing Machinery (ACM), 2017)
Conference report
Restricted access - publisher's policyThe rapid growth of multimedia databases and the human interest in their peers make indices representing the location and identity of people in audio-visual documents essential for searching archives. Person discovery ... -
Two level continuous speech recognition using demisyllable-based HMM word spotting
(1991)
Conference report
Open AccessThis paper describes a two level Spanish Continuous Speech Recognition System based on Demisyllable HMM modelling, word-spotting and finite-state lexical and syntactic knowledge. The first level, the word level, is based ... -
Image sequence analysis and merging
(LINKÖPING UNIVERSITY, 1997)
Conference report
Open Access -
Registration of images to unorganized 3D point clouds using contour cues
(Institute of Electrical and Electronics Engineers (IEEE), 2017)
Conference report
Open AccessLow resolution commercial 3D sensors contribute to computer vision tasks even better when the analysis is carried out in a combination with higher resolution image data. This requires registration of 2D images to ... -
ViTS: Video tagging system from massive web multimedia collections
(IEEE Press, 2017)
Conference report
Open AccessThe popularization of multimedia content on the Web has arised the need to automatically understand, index and retrieve it. In this paper we present ViTS, an automatic Video Tagging System which learns from videos, their ... -
More cat than cute?: interpretable prediction of adjective-noun pairs
(2017)
Conference report
Restricted access - publisher's policyThe increasing availability of affect-rich multimedia resources has bolstered interest in understanding sentiment and emotions in and from visual content. Adjective-noun pairs (ANP) are a popular midlevel semantic ... -
Semantic summarization of egocentric photo stream events
(2017)
Conference report
Restricted access - publisher's policyWith the rapid increase of users of wearable cameras in recent years and of the amount of data they produce, there is a strong need for automatic retrieval and summarization techniques. This work addresses the problem of ... -
Class-weighted convolutional features for visual instance search
(2017)
Conference lecture
Open AccessImage retrieval in realistic scenarios targets large dynamic datasets of unlabeled images. In these cases, training or fine-tuning a model every time new images are added to the database is neither efficient nor scalable. ... -
Scaling a convolutional neural network for classification of adjective noun pairs with TensorFlow on GPU clusters
(Institute of Electrical and Electronics Engineers (IEEE), 2017)
Conference report
Open AccessDeep neural networks have gained popularity in recent years, obtaining outstanding results in a wide range of applications such as computer vision in both academia and multiple industry areas. The progress made in recent ... -
Codificacion de imagenes: un metodo de segunda generacion
(Universidad de Málaga, 1992)
Conference report
Open Access
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