Xialei Liu

Xialei Liu

PhD Student at Computer Vision Center


Recent News

1 paper (Oral presentation) is accepted by ICPR 2018, Beijing, China.

1 paper is accepted by CVPR 2018, Utah, USA.

Presented the Real Time Crowd Counting Demo in MWC 2018, Barcelona, Spain - Media Coverage

Invited Talk: Lifelong Learning Seminar - Link

Presented the RankIQA paper in ICCV 2017, Venice, Italy.

Attended the international conference NIPS 2016, Barcelona, Spain.


Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting

Authors: Xialei Liu, Marc Masana, Luis Herranz, Joost Van de Weijer, Antonio M. Lopez, Andrew D. Bagdanov

Accepted at International Conference on Pattern Recognition (ICPR), 2018

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Leveraging Unlabeled Data for Crowd Counting by Learning to Rank

Authors: Xialei Liu, Joost van de Weijer, Andrew D Bagdanov

International Conference on Computer Vision and Pattern Recognition (CVPR), 2018

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

Authors: Xialei Liu, Joost van de Weijer, Andrew D Bagdanov

International Conference on Computer Vision (ICCV), 2017

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Coming Soon!


Master Thesis:

Learning from rankings for no-reference image quality assessment by Siamese Network

Advisors: Joost van de Weijer and Andrew D. Bagdanov

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Support researcher - Computer Vision Center (Sep 2015 - Now)

Collaborate within the Learning and Machine Perception (LAMP) groups at different research projects.

Scholarship holder - China Scholarship Council (Sep 2015 - Sep 2019)

PhD scholarship.

Journal reviewer

IEEE Transactions on Image Processing (T-IP).

Conference reviewer

European Conference on Computer Vision (ECCV), 2018.


I received my B.Sc. and M.Sc. degrees in Information Engineering and Control Engineering from the Northwestern Polytechnic university (NWPU), China in 2013 and 2016, respectively. I received my second M.Sc. degree in Computer Vision from the Universitat Autònoma de Barcelona (UAB), Barcelona in 2016. Currently, I am pursuing the Ph.D. degree under the supervision of Dr. Joost van de Weijer and Dr. Andrew D. Bagdanov starting in 2016. My main research interests include Deep Neural Networks, Object Detection, Image Quality Assessment, Crowd Counting, GANs and Lifelong Learning.