[1] LI Wei,ZHAO Rui,XIAO Tong,et al.DeepReID:deep filter pairing neural network for person re-identification[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.Washington D.C.,USA:IEEE Press,2014:152-159. [2] AHMED E,JONES M,MARKS T K.An improved deep learning architecture for person re-identification[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.Washington D.C.,USA:IEEE Press,2015:3908-3916. [3] CHENG De,GONG Yihong,ZHOU Sanping,et al.Person re-identification by multi-channel parts-based CNN with improved triplet loss function[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.Washington D.C.,USA:IEEE Press,2016:1335-1344. [4] SUN Yifan,ZHENG Liang,YANG Yi,et al.Beyond part models:person retrieval with refined part pooling(and a strong convolutional baseline)[C]//Proceedings of European Conference on Computer Vision.Washington D.C.,USA:IEEE Press,2018:480-496. [5] KALAYEH M M,BASARAN E,GÖKMEN M,et al.Human semantic parsing for person re-identification[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.Washington D.C.,USA:IEEE Press,2018:1062-1071. [6] JADERBERG M,SIMONYAN K,ZISSERMAN A.Spatial transformer networks[EB/OL].[2019-10-12].https://arxiv.org/abs/1506.02025. [7] LI Dangwei,CHEN Xiaotang,ZHANG Zhang,et al.Learning deep context-aware features over body and latent parts for person re-identification[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.Washington D.C.,USA:IEEE Press,2017:384-393. [8] ZHENG Zhedong,ZHENG Liang,YANG Yi.Pedestrian alignment network for large-scale person re-identification[J].IEEE Transactions on Circuits and Systems for Video Technology,2018,29(10):3037-3045. [9] ZHAO Haiyu,TIAN Maoqing,SUN Shuyang,et al.Spindle Net:person re-identification with human body region guided feature decomposition and fusion[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.Washington D.C.,USA:IEEE Press,2017:1077-1085. [10] WEI Longhui,ZHANG Shiliang,YAO Hantao,et al.Glad:global-local-alignment descriptor for pedestrian retrieval[C]//Proceedings of the 25th ACM International Conference on Multimedia.New York,USA:ACM Press,2017:420-428. [11] SU Chi,LI Jianing,ZHANG Shiliang,et al.Pose-driven deep convolutional model for person re-identification[C]//Proceedings of 2017 IEEE International Conference on Computer Vision.Washington D.C.,USA:IEEE Press,2017:3980-3989. [12] ZHENG Liang,HUANG Yujia,LU Huchuan,et al.Pose invariant embedding for deep person re-identification[EB/OL].[2019-10-12].https://arxiv.org/abs/1701.07732. [13] SAQUIB M,SCHUMANN A,EBERLE A,et al.A pose-sensitive embedding for person re-identification with expanded cross neighborhood re-ranking[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.Washington D.C.,USA:IEEE Press,2018:420-429. [14] ZHENG Weishi,LI Xiang,XIANG Tao,et al.Partial person re-identification[C]//Proceedings of IEEE International Conference on Computer Vision.Washington D.C.,USA:IEEE Press,2015:4678-4686. [15] HE Lingxiao,LIANG Jian,LI Haiqing,et al.Deep spatial feature reconstruction for partial person re-identification:alignment-free approach[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.Washington D.C.,USA:IEEE Press,2018:7073-7082. [16] SUN Yifan,XU Qin,LI Yali,et al.Perceive where to focus:learning visibility-aware part-level features for partial person re-identification[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.Washington D.C.,USA:IEEE Press,2019:393-402. [17] HE Kaiming,ZHANG Xiangyu,REN Shaoqing,et al.Deep residual learning for image recognition[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.Washington D.C.,USA:IEEE Press,2016:770-778. [18] FANG Shaoshu,XIE Shuqin,TAI Yuying,et al.RMPE:regional multi-person pose estimation[C]//Proceedings of IEEE International Conference on Computer Vision.Washington D.C.,USA:IEEE Press,2017:2334-2343. [19] ZHENG Liang,SHEN Liyue,TIAN Lu,et al.Scalable person re-identification:a benchmark[C]//Proceedings of IEEE International Conference on Computer Vision.Washington D.C.,USA:IEEE Press,2015:1116-1124. [20] ZHENG W S,GONG S,XIANG T.Person re-identification by probabilistic relative distance comparison[C]//Proceedings of CVPR'11.Washington D.C.,USA:IEEE Press,2011:649-656. [21] LUO Hao,GU Youzhi,LIAO Xingyu,et al.Bag of tricks and a strong baseline for deep person re-identification[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition Workshops.Washington D.C.,USA:IEEE Press,2019:1-7. |