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Person Re-identification (ReID) aims at matching a person of interest across images.
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2014
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2014
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2015
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2015
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2015
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2015
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2016
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2016
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R. R. Varior, B. Shuai, J. Lu, D. Xu, and G. Wang, “A siamese long short-term memory architecture for human re-identification,” in ECCV , 2016, pp. 135–153
2016
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F. Wang, W. Zuo, L. Lin, D. Zhang, and L. Zhang, “Joint learning of single-image and cross-image representations for person re-identification,” in CVPR , 2016, pp. 1288–1296
2016
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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 CVPR , 2016, pp. 1335–1344
2016
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O. Vinyals, C. Blundell, T. Lillicrap, D. Wierstra et al. , “Matching networks for one shot learning,” in NeurIPS , 2016, pp. 3630–3638
2016
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Y. Wen, K. Zhang, Z. Li, and Y. Qiao, “A discriminative feature learning approach for deep face recognition,” in ECCV . Springer, 2016, pp. 499–515
2016
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K. Sohn, “Improved deep metric learning with multi-class n-pair loss objective,” in NeurIPS , 2016, pp. 1857–1865
2016
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K. He, X. Zhang, S. Ren, and J. Sun, “Deep residual learning for image recognition,” in CVPR , 2016
2016
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L. Zheng, H. Zhang, S. Sun, M. Chandraker, Y. Yang, and Q. Tian, “Person re-identification in the wild,” in CVPR , 2017, pp. 1367–1376
2017
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L. Zheng, Y. Yang, and Q. Tian, “Sift meets cnn: A decade survey of instance retrieval,” TPAMI , vol. 40, no. 5, pp. 1224–1244, 2017
2017
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2017
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L. Wei, S. Zhang, H. Yao, W. Gao, and Q. Tian, “Glad: global-local-alignment descriptor for pedestrian retrieval,” in ACM Multimedia , 2017, pp. 420–428
2017
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C. Su, J. Li, S. Zhang, J. Xing, W. Gao, and Q. Tian, “Pose-driven deep convolutional model for person re-identification,” in ICCV , 2017
2017
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H. Zhao, M. Tian, S. Sun, J. Shao, J. Yan, S. Yi, X. Wang, and X. Tang, “Spindle net: Person re-identification with human body region guided feature decomposition and fusion,” in CVPR , 2017
2017
Cited alongside, same era.
2017
Cited alongside, same era.
S. Zhou, J. Wang, J. Wang, Y. Gong, and N. Zheng, “Point to set similarity based deep feature learning for person re-identification,” in CVPR , 2017, pp. 3741–3750
2017
Cited alongside, same era.
W. Chen, X. Chen, J. Zhang, and K. Huang, “Beyond triplet loss: a deep quadruplet network for person re-identification,” in CVPR , 2017, pp. 403–412
2017
Cited alongside, same era.
J. Snell, K. Swersky, and R. Zemel, “Prototypical networks for few-shot learning,” in NeurIPS , 2017, pp. 4077–4087
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 CVPR , 2018
2018
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S. Qiao, C. Liu, W. Shen, and A. L. Yuille, “Few-shot image recognition by predicting parameters from activations,” in CVPR , 2018, pp. 7229–7238
2018
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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,” TIP , vol. 28, no. 6, pp. 2860–2871, 2019
2019
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Y. Zhai, X. Guo, Y. Lu, and H. Li, “In defense of the classification loss for person re-identification,” in CVPR Workshops , 2019, pp. 0–0
2019
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Z. Zhang, C. Lan, W. Zeng, and Z. Chen, “Densely semantically aligned person re-identification,” in CVPR , 2019, pp. 667–676
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2017
Cited alongside, same era.
2017
Cited alongside, same era.
Z. Zhong, L. Zheng, D. Cao, and S. Li, “Re-ranking person re-identification with k-reciprocal encoding,” in CVPR , 2017
2017
Cited alongside, same era.
F. Wang, X. Xiang, J. Cheng, and A. L. Yuille, “Normface: L2 hypersphere embedding for face verification,” in ACM Multimedia , 2017, pp. 1041–1049
2017
Cited alongside, same era.
A. Wu, W.-S. Zheng, H.-X. Yu, S. Gong, and J. Lai, “Rgb-infrared cross-modality person re-identification,” in ICCV , 2017, pp. 5380–5389
2017
Cited alongside, same era.
D. T. Nguyen, H. G. Hong, K. W. Kim, and K. R. Park, “Person recognition system based on a combination of body images from visible light and thermal cameras,” Sensors , vol. 17, no. 3, p. 605, 2017
2017
Cited alongside, same era.
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 ECCV , 2018, pp. 480–496
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 ACM Multimedia , 2018, pp. 274–282
2018
Cited alongside, same era.
2019
Later among the works it cites.
2019
Later among the works it cites.
H. Luo, W. Jiang, Y. Gu, F. Liu, X. Liao, S. Lai, and J. Gu, “A strong baseline and batch normalization neck for deep person re-identification,” TMM , 2019
2019
Later among the works it cites.
B. Chen, W. Deng, and J. Hu, “Mixed high-order attention network for person re-identification,” in ICCV , 2019, pp. 371–381
2019
Later among the works it cites.
2019
Later among the works it cites.
P. Fang, J. Zhou, S. K. Roy, L. Petersson, and M. Harandi, “Bilinear attention networks for person retrieval,” in ICCV , 2019, pp. 8030–8039
2019
Later among the works it cites.
T.-T. Do, T. Tran, I. Reid, V. Kumar, T. Hoang, and G. Carneiro, “A theoretically sound upper bound on the triplet loss for improving the efficiency of deep distance metric learning,” in CVPR , 2019, pp. 10 404–10 413
2019
Later among the works it cites.
J. Jia, Q. Ruan, and T. M. Hospedales, “Frustratingly easy person re-identification: Generalizing person re-id in practice,” BMVC , 2019
2019
Later among the works it cites.
R. Hou, B. Ma, H. Chang, X. Gu, S. Shan, and X. Chen, “Interaction-and-aggregation network for person re-identification,” in CVPR , 2019, pp. 9317–9326
2019
Later among the works it cites.
K. Zhou, Y. Yang, A. Cavallaro, and T. Xiang, “Omni-scale feature learning for person re-identification,” in ICCV , 2019, pp. 3702–3712
2019
Later among the works it cites.
Z. Zheng, X. Yang, Z. Yu, L. Zheng, Y. Yang, and J. Kautz, “Joint discriminative and generative learning for person re-identification,” in CVPR , 2019, pp. 2138–2147
2019
Later among the works it cites.
Q. Yang, A. Wu, and W.-S. Zheng, “Person re-identification by contour sketch under moderate clothing change,” TPAMI , 2019
2019
Later among the works it cites.
Z. Zhang, C. Lan, W. Zeng, X. Jin, and Z. Chen, “Relation-aware global attention for person re-identification,” in CVPR , 2020
2020
Closest in time.
X. Bai, M. Yang, T. Huang, Z. Dou, R. Yu, and Y. Xu, “Deep-person: Learning discriminative deep features for person re-identification,” Pattern Recognition , 2020
2020
Closest in time.
X. Jin, C. Lan, W. Zeng, G. Wei, and Z. Chen, “Semantics-aligned representation learning for person re-identification,” in AAAI , 2020
2020
Closest in time.
Z. Zhong, L. Zheng, G. Kang, S. Li, and Y. Yang, “Random erasing data augmentation,” in AAAI , vol. 34, no. 07, 2020, pp. 13 001–13 008
2020
Closest in time.
C. Zhao, X. Lv, Z. Zhang, W. Zuo, J. Wu, and D. Miao, “Deep fusion feature representation learning with hard mining center-triplet loss for person re-identification,” TMM , 2020
2020
Closest in time.
L. He and W. Liu, “Guided saliency feature learning for person re-identification in crowded scenes,” 2020
2020
Closest in time.
C. Yan, G. Pang, X. Bai, J. Zhou, and L. Gu, “Beyond triplet loss: Person re-identification with fine-grained difference-aware pairwise loss,” TMM , 2021
2021
Closest in time.
X. Qian, W. Wang, L. Zhang, F. Zhu, Y. Fu, T. Xiang, Y.-G. Jiang, and X. Xue, “Long-term cloth-changing person re-identification,” in WACV , 2020
2021
Closest in time.