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Learning diverse features is key to the success of person re-identification.
W. Li, R. Zhao, T. Xiao, and X. Wang, “Deepreid: Deep filter pairing neural network for person re-identification,” in Proc. CVPR , June 2014, pp. 152–159
2014
Earlier work this paper cites.
L. Zheng, L. Shen, L. Tian, S. Wang, J. Wang, and Q. Tian, “Scalable person re-identification: A benchmark,” in Proc. ICCV , Dec 2015, pp. 1116–1124
2015
Earlier work this paper cites.
2016
Earlier work this paper cites.
C. Su, S. Zhang, J. Xing, W. Gao, and Q. Tian, “Deep attributes driven multi-camera person re-identification,” in Proc. ECCV . Springer, 2016, pp. 475–491
2016
Earlier work this paper cites.
D. Cheng, Y. Gong, S. Zhou, J. Wang, and N. Zheng, “Person re-identification by multi-channel parts-based cnn with improved triplet loss function,” in Proc. CVPR , June 2016, pp. 1335–1344
2016
Earlier work this paper cites.
Y. Wen, K. Zhang, Z. Li, and Y. Qiao, “A discriminative feature learning approach for deep face recognition,” in Proc. ECCV . Springer, 2016, pp. 499–515
2016
Earlier work this paper cites.
E. Ristani, F. Solera, R. Zou, R. Cucchiara, and C. Tomasi, “Performance measures and a data set for multi-target, multi-camera tracking,” in Proc. ECCV . Springer, 2016, pp. 17–35
2016
Earlier work this paper cites.
C. Su, J. Li, S. Zhang, J. Xing, W. Gao, and Q. Tian, “Pose-driven deep convolutional model for person re-identification,” in Proc. ICCV , 2017, pp. 3960–3969
2017
Earlier work this paper cites.
W. Chen, X. Chen, J. Zhang, and K. Huang, “Beyond triplet loss: A deep quadruplet network for person re-identification,” in Proc. CVPR , July 2017, pp. 1320–1329
2017
Earlier work this paper cites.
S. Bai, X. Bai, and Q. Tian, “Scalable person re-identification on supervised smoothed manifold,” in Proc. CVPR , July 2017, pp. 3356–3365
2017
Earlier work this paper cites.
2017
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L. Zhao, X. Li, Y. Zhuang, and J. Wang, “Deeply-learned part-aligned representations for person re-identification,” in Proc. ICCV , Oct 2017, pp. 3239–3248
2017
Earlier work this paper cites.
V. Kumar, A. Namboodiri, M. Paluri, and C. V. Jawahar, “Pose-aware person recognition,” in Proc. CVPR , July 2017, pp. 6797–6806
2017
Earlier work this paper cites.
2017
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W. Chen, X. Chen, J. Zhang, and K. Huang, “A multi-task deep network for person re-identification,” in Proc. AAAI , 2017
2017
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X. Qian, Y. Fu, Y.-G. Jiang, T. Xiang, and X. Xue, “Multi-scale deep learning architectures for person reidentification,” in Proc. ICCV , 2017
2017
Earlier work this paper cites.
Z. Zhong, L. Zheng, D. Cao, and S. Li, “Re-ranking person re-identification with k-reciprocal encoding,” in Proc. CVPR , July 2017, pp. 3652–3661
2017
Earlier work this paper cites.
Z. Zheng, L. Zheng, and Y. Yang, “A discriminatively learned cnn embedding for person reidentification,” ACM Trans. Multimedia Comput., Commun., Appl. , vol. 14, no. 1, p. 13, 2018
2018
Earlier work this paper cites.
Y. Sun, L. Zheng, Y. Yang, Q. Tian, and S. Wang, “Beyond part models: Person retrieval with refined part pooling (and a strong convolutional baseline),” in Proc. ECCV , 2018, pp. 480–496
2018
Cited alongside, same era.
2018
Cited alongside, same era.
X. Qian, Y. Fu, T. Xiang, W. Wang, J. Qiu, Y. Wu, Y.-G. Jiang, and X. Xue, “Pose-normalized image generation for person re-identification,” in Proc. ECCV , 2018, pp. 650–667
2018
Cited alongside, same era.
G. Wang, Y. Yuan, X. Chen, J. Li, and X. Zhou, “Learning discriminative features with multiple granularities for person re-identification,” in Proc. ACM Multimedia , 2018, pp. 274–282
2018
Cited alongside, same era.
K. Li, Z. Ding, K. Li, Y. Zhang, and Y. Fu, “Support neighbor loss for person re-identification,” in Proc. ACM Multimedia , 2018, pp. 1492–1500
2018
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M. Zeng, C. Tian, and Z. Wu, “Person re-identification with hierarchical deep learning feature and efficient xqda metric,” in Proc. ACM Multimedia , 2018, pp. 1838–1846
2018
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J. Yang, X. Shen, X. Tian, H. Li, J. Huang, and X.-S. Hua, “Local convolutional neural networks for person re-identification,” in Proc. ACM Multimedia , 2018, pp. 1074–1082
2018
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2018
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Y. Suh, J. Wang, S. Tang, T. Mei, and K. Mu Lee, “Part-aligned bilinear representations for person re-identification,” in Proc. ECCV , 2018, pp. 402–419
2018
Cited alongside, same era.
X. Fan, H. Luo, X. Zhang, L. He, C. Zhang, and W. Jiang, “Scpnet: Spatial-channel parallelism network for joint holistic and partial person re-identification,” in Proc. ACCV . Springer, 2018, pp. 19–34
2018
Cited alongside, same era.
2018
Cited alongside, same era.
W. Li, X. Zhu, and S. Gong, “Harmonious attention network for person re-identification,” in Proc. CVPR , June 2018, pp. 2285–2294
2018
Cited alongside, same era.
C. Wang, Q. Zhang, C. Huang, W. Liu, and X. Wang, “Mancs: A multi-task attentional network with curriculum sampling for person re-identification,” in Proc. ECCV , 2018, pp. 365–381
2018
Cited alongside, same era.
E. Ristani and C. Tomasi, “Features for multi-target multi-camera tracking and re-identification,” in Proc. CVPR , June 2018, pp. 6036–6046
2018
Cited alongside, same era.
Z. Zhang and M. Huang, “Person re-identification based on heterogeneous part-based deep network in camera networks,” IEEE Transactions on Emerging Topics in Computational Intelligence , vol. Early Access, pp. 1–10, December 2018
2018
Cited alongside, same era.
X. Chang, T. M. Hospedales, and T. Xiang, “Multi-level factorisation net for person re-identification,” in Proc. CVPR , June 2018, pp. 2109–2118
2018
Cited alongside, same era.
Y. Wang, L. Wang, Y. You, X. Zou, V. Chen, S. Li, G. Huang, B. Hariharan, and K. Q. Weinberger, “Resource aware person re-identification across multiple resolutions,” in Proc. CVPR , June 2018, pp. 8042–8051
2018
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Z. Dai, M. Chen, X. Gu, S. Zhu, and P. Tan, “Batch dropblock network for person re-identification and beyond,” in Proc. ICCV , 2019, pp. 3691–3701
2019
Later among the works it cites.
B. Chen, W. Deng, and J. Hu, “Mixed high-order attention network for person re-identification,” in Proc. ICCV , 2019, pp. 371–381
2019
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W. Yang, H. Huang, Z. Zhang, X. Chen, K. Huang, and S. Zhang, “Towards rich feature discovery with class activation maps augmentation for person re-identification,” in Proc. CVPR , June 2019, pp. 1389–1398
2019
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R. Hou, B. Ma, H. Chang, X. Gu, S. Shan, and X. Chen, “Interaction-and-aggregation network for person re-identification,” in Proc. CVPR , 2019, pp. 9317–9326
2019
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T. Chen, S. Ding, J. Xie, Y. Yuan, W. Chen, Y. Yang, Z. Ren, and Z. Wang, “Abd-net: Attentive but diverse person re-identification,” in Proc. ICCV , 2019, pp. 8351–8361
2019
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H. He, Z. Zhang, H. Zhang, Z. Zhang, J. Xie, and M. Li, “Bag of tricks for image classification with convolutional neural networks,” in Proc. CVPR , 2019, pp. 558–567
2019
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H. Yao, S. Zhang, R. Hong, Y. Zhang, C. Xu, and Q. Tian, “Deep representation learning with part loss for person re-identification,” IEEE Trans. Image Process. , vol. 28, no. 6, pp. 2860–2871, June 2019
2019
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L. Zheng, Y. Huang, H. Lu, and Y. Yang, “Pose-invariant embedding for deep person re-identification,” IEEE Trans. Image Process , vol. 28, no. 9, pp. 4500–4509, Sep. 2019
2019
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K. Zhou, Y. Yang, A. Cavallaro, and T. Xiang, “Omni-scale feature learning for person re-identification,” in Proc. ICCV , 2019, pp. 3702–3712
2019
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R. Quan, X. Dong, Y. Wu, L. Zhu, and Y. Yang, “Auto-reid: Searching for a part-aware convnet for person re-identification,” in Proc. ICCV , 2019
2019
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F. Zheng, C. Deng, X. Sun, X. Jiang, X. Guo, Z. Yu, F. Huang, and R. Ji, “Pyramidal person re-identification via multi-loss dynamic training,” in Proc. CVPR , June 2019
2019
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B. N. Xia, Y. Gong, Y. Zhang, and C. Poellabauer, “Second-order non-local attention networks for person re-identification,” in Proc. ICCV , 2019, pp. 3760–3769
2019
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