Xialei Liu

Xialei Liu

PhD Student at Computer Vision Center

CVC UAB

Recent News

1 paper is accepted by NIPS 2018, Montreal, Canada.

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.

Conferences

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

Authors: Chenshen Wu, Luis Herranz, Xialei Liu, Yaxing Wang, Joost van de Weijer, Bogdan Raducanu

Accepted at Thirty-second Conference on Neural Information Processing Systems (NIPS), 2018

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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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Journals

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

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

Submitted to Transactions on Pattern Analysis and Machine Intelligence

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Projects

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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Experience

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

ECCV'18, ACCV'18, WACV'19.

Bio

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.