Learning Discriminative Prototypes with Dynamic Time Warping.
Xiaobin Chang, Frederick Tung, Greg Mori.
CVPR, 2021. [PDF] [Code] [Bibtex]
Disjoint Label Space Transfer Learning with Common Factorised Space.
Xiaobin Chang, Yongxin Yang, Tao Xiang, Timothy M. Hospedales.
AAAI, 2019. [PDF] [Bibtex]
Multi-Level Factorisation Net for Person Re-Identification.
Xiaobin Chang, Timothy M. Hospedales, Tao Xiang.
CVPR, 2018. [PDF] [Bibtex]
Scalable and Effective Deep CCA via Soft Decorrelation.
Xiaobin Chang, Tao Xiang, Timothy M Hospedales.
CVPR, 2018. [PDF] [Bibtex]
The Devil is in the Middle: Exploiting Mid-level Representations for Cross-Domain Instance Matching.
Qian Yu, Xiaobin Chang, Yi-Zhe Song, Tao Xiang, Timothy M Hospedales.
arXiv, 2017. [PDF] [Bibtex]
Deep Multi-View Learning with Stochastic Decorrelation Loss.
Xiaobin Chang, Tao Xiang, Timothy M Hospedales.
arXiv, 2017. [PDF] [Bibtex]
L1 Graph Based Sparse Model for Label De-noising.
Xiaobin Chang, Tao Xiang, Timothy M Hospedales.
BMVC Oral, 2016. [PDF] [Bibtex]
Facial skin beautification via sparse representation over learned layer dictionary.
Xi Lu, Xiaobin Chang, Xiaohua Xie, Jian-Fang Hu, Wei-Shi Zheng.
IJCNN, 2016. [PDF] [Bibtex]
Learning person–person interaction in collective activity recognition.
Xiaobin Chang, Wei-Shi Zheng, Jianguo Zhang.
IEEE Transactions on Image Processing, 2015. [PDF] [Bibtex]