D. Gray and H. Tao, Viewpoint invariant pedestrian recognition with an ensemble of localized features, ECCV, pp.262-275, 2008.

M. Farenzena, L. Bazzani, A. Perina, V. Murino, and M. Cristani, Person reidentification by symmetry-driven accumulation of local features, CVPR, pp.2360-2367, 2010.

S. Liao, Y. Hu, X. Zhu, and S. Li, Person re-identification by local maximal occurrence representation and metric learning, CVPR, 2015.

M. Koestinger, M. Hirzer, P. Wohlhart, M. Peter, H. Roth et al., Large scale metric learning from equivalence constraints, CVPR, pp.2288-2295, 2012.

S. Pedagadi, J. Orwell, S. Velastin, and B. Boghossian, Local fisher discriminant analysis for pedestrian re-identification, CVPR, pp.3318-3325, 2013.

R. Herbrich, Large margin rank boundaries for ordinal regression, pp.115-132, 2000.

C. Burges, T. Shaked, E. Renshaw, A. Lazier, M. Deeds et al., Learning to rank using gradient descent, ICML, pp.89-96, 2005.

F. Xia, T. Liu, J. Wang, W. Zhang, and H. Li, Listwise approach to learning to rank: theory and algorithm, ICML, pp.1192-1199, 2008.

J. Christopher, R. Burges, Q. Ragno, and . Le, Learning to rank with nonsmooth cost functions, NIPS, pp.193-200, 2007.

B. J. Prosser, W. Zheng, S. Gong, T. Xiang, and Q. Mary, Person re-identification by support vector ranking, BMVC, vol.2, p.6, 2010.

J. Wang, Z. Wang, C. Gao, N. Sang, and R. Huang, Deeplist: Learning deep features with adaptive listwise constraint for person reidentification, IEEE Transactions on Circuits and Systems for Video Technology, vol.27, pp.513-524, 2017.

D. Yi, Z. Lei, S. Liao, and S. Li, Deep metric learning for person re-identification, International Conference on Pattern Recognition, pp.34-39, 2014.

S. Ding, L. Lin, G. Wang, and H. Chao, Deep feature learning with relative distance comparison for person re-identification, vol.48, pp.2993-3003, 2015.

W. Chen, X. Chen, J. Zhang, and K. Huang, Beyond triplet loss: a deep quadruplet network for person re-identification, CVPR, vol.2, 2017.

E. Ahmed, M. Jones, and T. K. Marks, An improved deep learning architecture for person reidentification, CVPR, pp.3908-3916, 2015.

H. Shi, Y. Yang, X. Zhu, S. Liao, Z. Lei et al., Embedding deep metric for person re-identification: A study against large variations, ECCV, pp.732-748, 2016.

A. Hermans, L. Beyer, and B. Leibe, In defense of the triplet loss for person reidentification, 2017.

L. Zheng, L. Shen, L. Tian, S. Wang, J. Wang et al., Scalable person reidentification: A benchmark, ICCV, pp.1116-1124, 2015.

Z. Zhong, L. Zheng, D. Cao, and S. Li, Re-ranking person re-identification with k-reciprocal encoding, CVPR, 2017.

Z. Zheng, L. Zheng, and Y. Yang, Unlabeled samples generated by gan improve the person reidentification baseline in vitro, ICCV, 2017.

Y. Sun, L. Zheng, W. Deng, and S. Wang, Svdnet for pedestrian retrieval, ICCV, 2017.

W. Li, X. Zhu, and S. Gong, Person reidentification by deep joint learning of multi-loss classification, International Joint Conference on Artificial Intelligence, 2017.

Y. Chen, X. Zhu, and S. Gong, Person re-identification by deep learning multi-scale representations, CVPR, pp.2590-2600, 2017.

K. He, X. Zhang, S. Ren, and J. Sun, Deep residual learning for image recognition, CVPR, pp.770-778, 2016.