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Luis Herranz

Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting

Jul 12, 2018
Xialei Liu, Marc Masana, Luis Herranz, Joost Van de Weijer, Antonio M. Lopez, Andrew D. Bagdanov

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* Accepted at ICPR'18. First two authors contributed equally

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Mix and match networks: encoder-decoder alignment for zero-pair image translation

Apr 06, 2018
Yaxing Wang, Joost van de Weijer, Luis Herranz

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* Accepted CVPR 2018

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Food recognition and recipe analysis: integrating visual content, context and external knowledge

Jan 22, 2018
Luis Herranz, Weiqing Min, Shuqiang Jiang

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* Survey about contextual food recognition and multimodal recipe analysis

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Scene recognition with CNNs: objects, scales and dataset bias

Jan 21, 2018
Luis Herranz, Shuqiang Jiang, Xiangyang Li

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* L. Herranz, S. Jiang, X. Li, "Scene recognition with CNNs: objects, scales and dataset bias", Proc. International Conference on Computer Vision and Pattern Recognition (CVPR16), Las Vegas, Nevada, USA, June 2016
* CVPR 2016

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Depth CNNs for RGB-D scene recognition: learning from scratch better than transferring from RGB-CNNs

Jan 21, 2018
Xinhang Song, Luis Herranz, Shuqiang Jiang

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* AAAI Conference on Artificial Intelligence 2017, 4271-4277
* AAAI Conference on Artificial Intelligence 2017

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Domain-adaptive deep network compression

Sep 06, 2017
Marc Masana, Joost van de Weijer, Luis Herranz, Andrew D. Bagdanov, Jose M Alvarez

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* Accepted at ICCV 2017

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LIUM-CVC Submissions for WMT17 Multimodal Translation Task

Jul 14, 2017
Ozan Caglayan, Walid Aransa, Adrien Bardet, Mercedes García-Martínez, Fethi Bougares, Loïc Barrault, Marc Masana, Luis Herranz, Joost van de Weijer

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* MMT System Description Paper for WMT17

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