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ACAE-REMIND for Online Continual Learning with Compressed Feature Replay


May 18, 2021
Kai Wang, Luis Herranz, Joost van de Weijer

* Under review 

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MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains


Apr 28, 2021
Yaxing Wang, Abel Gonzalez-Garcia, Chenshen Wu, Luis Herranz, Fahad Shahbaz Khan, Shangling Jui, Joost van de Weijer

* Technical report. arXiv admin note: substantial text overlap with arXiv:1912.05270 

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DANICE: Domain adaptation without forgetting in neural image compression


Apr 19, 2021
Sudeep Katakol, Luis Herranz, Fei Yang, Marta Mrak

* Accepted to CLIC Workshop at CVPR 2021 

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Continual learning in cross-modal retrieval


Apr 19, 2021
Kai Wang, Luis Herranz, Joost van de Weijer

* 2nd CLVISION workshop in CVPR 2021 

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Slimmable Compressive Autoencoders for Practical Neural Image Compression


Mar 29, 2021
Fei Yang, Luis Herranz, Yongmei Cheng, Mikhail G. Mozerov

* Accepted to CVPR 2021 

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On Implicit Attribute Localization for Generalized Zero-Shot Learning


Mar 08, 2021
Shiqi Yang, Kai Wang, Luis Herranz, Joost van de Weijer

* To appear in IEEE Signal Processing Letters. Overlapped with arXiv:2006.05938 

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Unsupervised Domain Adaptation without Source Data by Casting a BAIT


Oct 28, 2020
Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui


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Bookworm continual learning: beyond zero-shot learning and continual learning


Jul 06, 2020
Kai Wang, Luis Herranz, Anjan Dutta, Joost van de Weijer


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Simple and effective localized attribute representations for zero-shot learning


Jun 17, 2020
Shiqi Yang, Kai Wang, Luis Herranz, Joost van de Weijer

* Submitted to Pattern Recognition 

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Distributed Learning and Inference with Compressed Images


Apr 22, 2020
Sudeep Katakol, Basem Elbarashy, Luis Herranz, Joost van de Weijer, Antonio M. Lopez

* 13 pages, 14 figures 

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Generative Feature Replay For Class-Incremental Learning


Apr 20, 2020
Xialei Liu, Chenshen Wu, Mikel Menta, Luis Herranz, Bogdan Raducanu, Andrew D. Bagdanov, Shangling Jui, Joost van de Weijer

* Accepted at CVPR2020: Workshop on Continual Learning in Computer Vision 

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Semantic Drift Compensation for Class-Incremental Learning


Apr 01, 2020
Lu Yu, Bartłomiej Twardowski, Xialei Liu, Luis Herranz, Kai Wang, Yongmei Cheng, Shangling Jui, Joost van de Weijer

* Accepted at CVPR2020, Code available at \url{https://github.com/yulu0724/SDC-IL

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Variable Rate Deep Image Compression with Modulated Autoencoder


Dec 11, 2019
Fei Yang, Luis Herranz, Joost van de Weijer, José A. Iglesias Guitián, Antonio López, Mikhail Mozerov


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MineGAN: effective knowledge transfer from GANs to target domains with few images


Dec 11, 2019
Yaxing Wang, Abel Gonzalez-Garcia, David Berga, Luis Herranz, Fahad Shahbaz Khan, Joost van de Weijer


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SDIT: Scalable and Diverse Cross-domain Image Translation


Aug 19, 2019
Yaxing Wang, Abel Gonzalez-Garcia, Joost van de Weijer, Luis Herranz

* ACM-MM2019 camera ready 

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Controlling biases and diversity in diverse image-to-image translation


Jul 23, 2019
Yaxing Wang, Abel Gonzalez-Garcia, Joost van de Weijer, Luis Herranz

* The paper is under consideration at Computer Vision and Image Understanding 

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Multifaceted Analysis of Fine-Tuning in Deep Model for Visual Recognition


Jul 11, 2019
Xiangyang Li, Luis Herranz, Shuqiang Jiang

* Accepted by ACM Transactions on Data Science 

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Mix and match networks: multi-domain alignment for unpaired image-to-image translation


Mar 08, 2019
Yaxing Wang, Luis Herranz, Joost van de Weijer

* overlap the previous version. arXiv admin note: text overlap with arXiv:1804.02199 

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Cross-Modulation Networks for Few-Shot Learning


Dec 01, 2018
Hugo Prol, Vincent Dumoulin, Luis Herranz

* Accepted at NIPS 2018 Workshop on Meta-Learning. Source code available at https://github.com/hprop/cross-modulation-nets 

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Memory Replay GANs: learning to generate images from new categories without forgetting


Oct 29, 2018
Chenshen Wu, Luis Herranz, Xialei Liu, Yaxing Wang, Joost van de Weijer, Bogdan Raducanu

* Appear in NIPS 2018 

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Transferring GANs: generating images from limited data


Oct 02, 2018
Yaxing Wang, Chenshen Wu, Luis Herranz, Joost van de Weijer, Abel Gonzalez-Garcia, Bogdan Raducanu

* ECCV2018-camera ready 

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Learning Effective RGB-D Representations for Scene Recognition


Sep 17, 2018
Xinhang Song, Shuqiang Jiang, Luis Herranz, Chengpeng Chen

* IEEE Transactions on Image Processing, vol. 28, no. 2, pp. 980-993, Feb. 2019 
* Accepted at IEEE Transactions on Image Processing 

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LIUM-CVC Submissions for WMT18 Multimodal Translation Task


Sep 01, 2018
Ozan Caglayan, Adrien Bardet, Fethi Bougares, Loïc Barrault, Kai Wang, Marc Masana, Luis Herranz, Joost van de Weijer

* WMT2018 

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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

* 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

* 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

* Survey about contextual food recognition and multimodal recipe analysis 

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