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Liu, S. Zhang, Q. Huang, and W. Gao, \u201cRam: A region-aware deep model for vehicle re-identification,\u201d 2018 IEEE International Conference on Multimedia and Expo (ICME), pp.1-6, IEEE, 2018. 10.1109\/icme.2018.8486589","DOI":"10.1109\/ICME.2018.8486589"},{"key":"2","doi-asserted-by":"publisher","unstructured":"[2] J. Zhu, H. Zeng, J. Huang, S. Liao, Z. Lei, C. Cai, and L. Zheng, \u201cVehicle re-identification using quadruple directional deep learning features,\u201d IEEE Trans. Intell. Transp. Syst., vol.21, no.1, pp.410-420, 2019. 10.1109\/tits.2019.2901312","DOI":"10.1109\/TITS.2019.2901312"},{"key":"3","doi-asserted-by":"crossref","unstructured":"[3] B. He, J. Li, Y. Zhao, and Y. Tian, \u201cPart-regularized near-duplicate vehicle re-identification,\u201d Proc. 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Fu, \u201cLarge-scale vehicle re-identification in urban surveillance videos,\u201d 2016 IEEE international conference on multimedia and expo (ICME), pp.1-6, IEEE, 2016. 10.1109\/icme.2016.7553002","DOI":"10.1109\/ICME.2016.7553002"},{"key":"13","doi-asserted-by":"crossref","unstructured":"[13] H. Liu, Y. Tian, Y. Yang, L. Pang, and T. Huang, \u201cDeep relative distance learning: Tell the difference between similar vehicles,\u201d Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp.2167-2175, 2016. 10.1109\/cvpr.2016.238","DOI":"10.1109\/CVPR.2016.238"},{"key":"14","doi-asserted-by":"crossref","unstructured":"[14] P. Khorramshahi, A. Kumar, N. Peri, S.S. Rambhatla, J.C. Chen, and R. Chellappa, \u201cA dual-path model with adaptive attention for vehicle re-identification,\u201d Proc. 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