关注
Xu Lan
Xu Lan
在 qmul.ac.uk 的电子邮件经过验证
标题
引用次数
引用次数
年份
Knowledge distillation by on-the-fly native ensemble
X Zhu, S Gong
Advances in neural information processing systems 31, 2018
4772018
Boosting few-shot learning with adaptive margin loss
A Li, W Huang, X Lan, J Feng, Z Li, L Wang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
1972020
Person search by multi-scale matching
X Lan, X Zhu, S Gong
Proceedings of the European conference on computer vision (ECCV), 536-552, 2018
1562018
Deep reinforcement learning attention selection for person re-identification
X Lan, H Wang, S Gong, X Zhu
arXiv preprint arXiv:1707.02785, 2017
682017
Self-referenced deep learning
X Lan, X Zhu, S Gong
Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019
232019
Collaborative deep learning across multiple data centers
H Mi, K Xu, D Feng, H Wang, Y Zhang, Z Zheng, C Chen, X Lan
Science China Information Sciences 63, 1-11, 2020
182020
Density K-means: A new algorithm for centers initialization for K-means
X Lan, Q Li, Y Zheng
2015 6th IEEE international conference on software engineering and service …, 2015
172015
Unsupervised cross-domain person re-identification by instance and distribution alignment
X Lan, X Zhu, S Gong
Pattern Recognition 124, 108514, 2022
132022
Multistructure-based collaborative online distillation
L Gao, X Lan, H Mi, D Feng, K Xu, Y Peng
Entropy 21 (4), 357, 2019
122019
Semi-supervised few-shot learning with pseudo label refinement
P Li, G Wu, S Gong, X Lan
2021 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2021
52021
Universal person re-identification
X Lan, X Zhu, S Gong
arXiv preprint arXiv:1907.09511, 2019
22019
Learning proxy mixtures for few-shot classification
X Lan, S Parisot, SG Mcdonagh, W Huang
US Patent App. 18/065,405, 2023
2023
Target re-identification
G Shaogang, ZHU Xiatian, W Hanxiao, X Lan
US Patent 11,430,261, 2022
2022
Knowledge Transfer in Object Recognition
X Lan
Queen Mary University of London, 2020
2020
Fewmatch: Dynamic Prototype Refinement for Semi-Supervised Few-Shot Learning
X Lan, S McDonagh, S Gong, J Wang, Z Li, S Parisot
2020
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