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Interpretable Deep Multimodal Image Super-Resolution
Multimodal image super-resolution (SR) is the reconstruction of a high r...
09/07/2020 ∙ by Iman Marivani, et al. ∙
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Multimodal Deep Unfolding for Guided Image Super-Resolution
The reconstruction of a high resolution image given a low resolution obs...
01/21/2020 ∙ by Iman Marivani, et al. ∙
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Multimodal Image Super-resolution via Deep Unfolding with Side Information
Deep learning methods have been successfully applied to various computer...
10/18/2019 ∙ by Iman Marivani, et al. ∙
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Twitter User Geolocation using Deep Multiview Learning
Predicting the geographical location of users on social networks like Tw...
05/11/2018 ∙ by Tien Huu Do, et al. ∙
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Multiview Deep Learning for Predicting Twitter Users' Location
The problem of predicting the location of users on large social networks...
12/21/2017 ∙ by Tien Huu Do, et al. ∙
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Multi-modal dictionary learning for image separation with application in art investigation
In support of art investigation, we propose a new source separation meth...
07/14/2016 ∙ by Nikos Deligiannis, et al. ∙
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X-ray image separation via coupled dictionary learning
In support of art investigation, we propose a new source sepa- ration me...
05/20/2016 ∙ by Nikos Deligiannis, et al. ∙
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Bayesian crack detection in ultra high resolution multimodal images of paintings
The preservation of our cultural heritage is of paramount importance. Th...
04/22/2013 ∙ by Bruno Cornelis, et al. ∙
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