Xialei Liu (刘夏雷)
Xialei Liu (刘夏雷)
School of Informatics, University of Edinburgh
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Leveraging Unlabeled Data for Crowd Counting by Learning to Rank
X Liu, J van de Weijer, AD Bagdanov
Computer Vision and Pattern Recognition (CVPR), 2018, 2018
1702018
Rankiqa: Learning from rankings for no-reference image quality assessment
X Liu, J van de Weijer, AD Bagdanov
International Conference on Computer Vision (ICCV), 2017, 2017
1382017
Memory Replay GANs: learning to generate images from new categories without forgetting
C Wu, L Herranz, X Liu, Y Wang, J van de Weijer, B Raducanu
Thirty-second Conference on Neural Information Processing Systems (NIPS), 2018, 2018
129*2018
Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting
X Liu, M Masana, L Herranz, J Van de Weijer, AM Lopez, AD Bagdanov
International Conference on Pattern Recognition (ICPR), 2018, 2018
792018
Exploiting Unlabeled Data in CNNs by Self-supervised Learning to Rank
X Liu, J van de Weijer, AD Bagdanov
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019
582019
Learning Metrics from Teachers: Compact Networks for Image Embedding
L Yu, VO Yazici, X Liu, J van de Weijer, Y Cheng, A Ramisa
Computer Vision and Pattern Recognition (CVPR), 2019, 2019
402019
Semantic Drift Compensation for Class-Incremental Learning
L Yu, B Twardowski, X Liu, L Herranz, K Wang, Y Cheng, S Jui, ...
Computer Vision and Pattern Recognition (CVPR), 2020, 2020
242020
Generative feature replay for class-incremental learning
X Liu, C Wu, M Menta, L Herranz, B Raducanu, AD Bagdanov, S Jui, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
132020
Class-incremental learning: survey and performance evaluation
M Masana, X Liu, B Twardowski, M Menta, AD Bagdanov, J van de Weijer
arXiv preprint arXiv:2010.15277, 2020
92020
Multi-Task Incremental Learning for Object Detection
X Liu, H Yang, A Ravichandran, R Bhotika, S Soatto
arXiv preprint arXiv:2002.05347, 2020
3*2020
Algorithm of vision tracking for UAV navigation based on multi-constraint KLT [J]
S Lin, C Yongmei, L Nan, L Xialei
Infrared and Laser Engineering 42 (10), 2828-2835, 2013
22013
Universal Representation Learning from Multiple Domains for Few-shot Classification
WH Li, X Liu, H Bilen
arXiv preprint arXiv:2103.13841, 2021
2021
Self-Training for Class-Incremental Semantic Segmentation
L Yu, X Liu, J van de Weijer
arXiv preprint arXiv:2012.03362, 2020
2020
Learning to Rank for Active Learning: A Listwise Approach
M Li, X Liu, J van de Weijer, B Raducanu
International Conference on Pattern Recognition (ICPR), 2020, 2020
2020
Visual recognition in the wild: learning from rankings in small domains and continual learning in new domains
X Liu
Universitat Autònoma de Barcelona, PhD Thesis, 2019
2019
Suitability of Real-Time Image under Complicated Environment Based on Contourlet in SMN
Y Lu, C Yongmei, L Xialei, L Nan
2015 10th International Conference on Intelligent Systems and Knowledge …, 2015
2015
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