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Improving Task Adaptation for Cross-domain Few-shot Learning


Jul 01, 2021
Wei-Hong Li, Xialei Liu, Hakan Bilen

* Code will be available at https://github.com/VICO-UoE/URL 

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Universal Representation Learning from Multiple Domains for Few-shot Classification


Mar 25, 2021
Wei-Hong Li, Xialei Liu, Hakan Bilen

* Code will be available at https://github.com/VICO-UoE/URL 

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Self-Training for Class-Incremental Semantic Segmentation


Dec 06, 2020
Lu Yu, Xialei Liu, Joost van de Weijer

* Code will be available 

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Class-incremental learning: survey and performance evaluation


Oct 28, 2020
Marc Masana, Xialei Liu, Bartlomiej Twardowski, Mikel Menta, Andrew D. Bagdanov, Joost van de Weijer


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Learning to Rank for Active Learning: A Listwise Approach


Jul 31, 2020
Minghan Li, Xialei Liu, Joost van de Weijer, Bogdan Raducanu

* Accepted at ICPR 2020 

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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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Continual Universal Object Detection


Feb 13, 2020
Xialei Liu, Hao Yang, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto


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Learning Metrics from Teachers: Compact Networks for Image Embedding


Apr 07, 2019
Lu Yu, Vacit Oguz Yazici, Xialei Liu, Joost van de Weijer, Yongmei Cheng, Arnau Ramisa

* To appear at CVPR 2019 

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Exploiting Unlabeled Data in CNNs by Self-supervised Learning to Rank


Feb 17, 2019
Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov

* Accepted at TPAMI. (Keywords: Learning from rankings, image quality assessment, crowd counting, active learning). arXiv admin note: text overlap with arXiv:1803.03095 

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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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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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Leveraging Unlabeled Data for Crowd Counting by Learning to Rank


Mar 08, 2018
Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov

* Accepted by CVPR18 

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RankIQA: Learning from Rankings for No-reference Image Quality Assessment


Jul 26, 2017
Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov

* Accepted by ICCV 2017 

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