Papers by Joost van de Weijer
arXiv (Cornell University), Jun 7, 2022
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arXiv (Cornell University), May 18, 2021
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arXiv (Cornell University), Jun 10, 2020
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arXiv (Cornell University), Oct 3, 2022
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HAL (Le Centre pour la Communication Scientifique Directe), Oct 31, 2018
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arXiv (Cornell University), May 9, 2022
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arXiv (Cornell University), Oct 13, 2022
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arXiv (Cornell University), Sep 4, 2017
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arXiv (Cornell University), Apr 28, 2021
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arXiv (Cornell University), Dec 11, 2019
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arXiv (Cornell University), Feb 18, 2016
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arXiv (Cornell University), Dec 30, 2021
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2022 IEEE International Conference on Image Processing (ICIP)
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arXiv (Cornell University), Jul 13, 2020
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2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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In this paper we propose a multi-modal deep learning approach to detect floods in social media po... more In this paper we propose a multi-modal deep learning approach to detect floods in social media posts. Social media posts normally contain some metadata and/or visual information, therefore in order to detect the floods we use this information. The model is based on a Convolutional Neural Network which extracts the visual features and a bidirectional Long Short-Term Memory network to extract the semantic features from the textual metadata. We validate the method on images extracted from Flickr which contain both visual information and metadata and compare the results when using both, visual information only or metadata only. This work has been done in the context of the MediaEval Multimedia Satellite Task.
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2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022
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Papers by Joost van de Weijer