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Wei-Hong Li
Wei-Hong Li
School of Informatics, University of Edinburgh
Verified email at ed.ac.uk - Homepage
Title
Cited by
Cited by
Year
A Delaunay-based temporal coding model for micro-expression recognition
Z Lu, Z Luo, H Zheng, J Chen, W Li
Asian conference on computer vision, 698-711, 2014
492014
Learning to learn relation for important people detection in still images
WH Li, FT Hong, WS Zheng
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 5003-5011, 2019
222019
Universal representation learning from multiple domains for few-shot classification
WH Li, X Liu, H Bilen
IEEE/CVF International Conference on Computer Vision (ICCV), 9526-9535, 2021
212021
Knowledge distillation for multi-task learning
WH Li, H Bilen
European Conference on Computer Vision, 163-176, 2020
212020
Mini-net: Multiple instance ranking network for video highlight detection
FT Hong, X Huang, WH Li, WS Zheng
European Conference on Computer Vision (ECCV), 345-360, 2020
202020
One-pass person re-identification by sketch online discriminant analysis
WH Li, Z Zhong, WS Zheng
Pattern Recognition 93, 237-250, 2019
192019
Cross-domain Few-shot Learning with Task-specific Adapters
WH Li, X Liu, H Bilen
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
17*2022
Large-scale visible watermark detection and removal with deep convolutional networks
D Cheng, X Li, WH Li, C Lu, F Li, H Zhao, WS Zheng
Chinese conference on pattern recognition and computer vision (PRCV), 27-40, 2018
172018
Learning to detect important people in unlabelled images for semi-supervised important people detection
FT Hong, WH Li, WS Zheng
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 4146-4154, 2020
152020
Personrank: Detecting important people in images
WH Li, B Li, WS Zheng
IEEE International Conference on Automatic Face & Gesture Recognition (FG …, 2018
132018
Towards photo-realistic visible watermark removal with conditional generative adversarial networks
X Li, C Lu, D Cheng, WH Li, M Cao, B Liu, J Ma, WS Zheng
International Conference on Image and Graphics, 345-356, 2019
122019
Learning to impute: A general framework for semi-supervised learning
WH Li, CS Foo, H Bilen
arXiv preprint arXiv:1912.10364, 2019
62019
Correlation based identity filter: An efficient framework for person search
WH Li, Y Mao, A Wu, WS Zheng
International Conference on Image and Graphics, 250-261, 2017
52017
Learning Multiple Dense Prediction Tasks from Partially Annotated Data
WH Li, X Liu, H Bilen
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
22022
Sketch metric learning
Y Mai, W Li, Y Tang, X Bi, WS Zheng
2016 International Joint Conference on Neural Networks (IJCNN), 2439-2446, 2016
12016
Learning Relation Models to Detect Important People in Still Images
YK Qiu, FT Hong, WH Li, WS Zheng
IEEE Transactions on Multimedia, 2022
2022
Universal Representations: A Unified Look at Multiple Task and Domain Learning
WH Li, X Liu, H Bilen
arXiv preprint arXiv:2204.02744, 2022
2022
Supplementary Material: Cross-domain Few-shot Learning with Task-specific Adapters
WH Li, X Liu, H Bilen
Supplementary Material: Learning Multiple Dense Prediction Tasks from Partially Annotated Data
WH Li, X Liu, H Bilen
Supplementary Material: Universal Representation Learning from Multiple Domains for Few-shot Classification
WH Li, X Liu, H Bilen
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Articles 1–20