Publications

Publications
       

Universal Representation Learning from Multiple Domains for Few-shot Classification.
Wei-Hong Li, Xialei Liu, Hakan Bilen.
Preprint, 2021. [arXiv] [Code] [Project]

Learning to Impute: A General Framework for Semi-supervised Learning.
Wei-Hong Li, Chuan-Sheng Foo, Hakan Bilen.
Preprint, 2019. [arXiv] [Code] [Project]

Knowledge Distillation for Multi-task Learning.
Wei-Hong Li, Hakan Bilen.
European Conference on Computer Vision Workshop on Imbalance Problems in Computer Vision, 2020. [arXiv] [Code] [talk] [Project]

MINI-Net: Multiple Instance Ranking Network for Video Highlight Detection.
Fa-Ting Hong, Xuanteng Huang, Wei-Hong Li, Wei-Shi Zheng.
European Conference on Computer Vision, 2020. [arXiv] [ECVA] [Code] [Supplementary Material]

Learning to Detect Important People in Unlabelled Images for Semi-supervised Important People Detection.
Fa-Ting Hong, Wei-Hong Li, Wei-Shi Zheng.
International Conference on Computer Vision and Pattern Recognition, 2020. [arXiv] [CVF] [Project]

Learning to Learn Relation for Important People Detection in Still Images.
Wei-Hong Li, Fa-Ting Hong, Wei-Shi Zheng.
International Conference on Computer Vision and Pattern Recognition, 2019. [arXiv] [CVF] [Supplementary Material] [Project]

PersonRank: Detecting Important People in Images.
Wei-Hong Li, Benchao Li, Wei-Shi Zheng.
International Conference on Automatic Face and Gesture Recognition (oral), 2018. [PDF] [Project]

One-pass Person Re-identification by Sketched Online Discriminant Analysis.
Wei-Hong Li, Zhuowei Zhong, Wei-Shi Zheng.
Pattern Recognition, 2019. [PDF] [Project]

Correlation based Identity Filter: An Efficient Framework For Person Search.
Wei-Hong Li, Yafang Mao, Ancong Wu, Wei-Shi Zheng.
International Conference on Image and Graphics (oral, Best Paper Award), 2017. [PDF]

Sketch metric learning.
Yuting Mai, Wei-Hong Li, Yongyi Tang, Xixi Bi, Wei-Shi Zheng.
International Joint Conference on Neural Networks, 2016. [PDF]

Towards Photo-Realistic Visible Watermark Removal with Conditional Generative Adversarial Networks.
Xiang Li, Chan Lu, Danni Cheng, Wei-Hong Li, Mei Cao, Bo Liu, Jiechao Ma, Wei-Shi Zheng.
International Conference on Image and Graphics, 2019. [PDF]

Large-Scale Visible Watermark Detection and Removal with Deep Convolutional Networks.
Danni Cheng, Xiang Li, Wei-Hong Li, Chan Lu, Fake Li, Hua Zhao, Wei-Shi Zheng.
Chinese Conference on Pattern Recognition and Computer Vision(oral), 2018. [PDF]

A Delaunay-Based Temporal Coding Model for Micro-expression Recognition.
Zhaoyu Lu and Ziqi Luo and Huicheng Zheng and Jikai Chen and Wei-Hong Li.

Asian Conference on Computer Vision, 2014. [PDF]