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Person re-identification is indeed a challenging visual recognition task due to the critical issues of human pose variation, human body occlusion, camera view variation, etc.
D. Gray and H. Tao, “Viewpoint invariant pedestrian recognition with an ensemble of localized features,” in Proc. IEEE Conference on European Conference on Computer Vision, (2008), pp. 262–275
2008
Earlier work this paper cites.
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei, “Imagenet: A large-scale hierarchical image database,” in Proc. IEEE Conference on Computer Vision and Pattern Recognition(CVPR), (IEEE, 2009), pp. 248–255
2009
Earlier work this paper cites.
P. F. Felzenszwalb, R. B. Girshick, D. McAllester, and D. Ramanan, IEEE Transactions on Pattern Analysis and Machine Intelligence 32
2010
Earlier work this paper cites.
F. Jurie and A. Mignon, “Pcca: A new approach for distance learning from sparse pairwise constraints,” in Proc. IEEE Conference on Computer Vision and Pattern Recognition, (2012), pp. 2666–2672
2012
Earlier work this paper cites.
A. Krizhevsky, I. Sutskever, and G. E. Hinton, “Imagenet classification with deep convolutional neural networks,” in Proc. IEEE Conference on International Conference on Neural Information Processing Systems, (2012), pp. 1097–1105
2012
Earlier work this paper cites.
D. P. Kingma and J. Ba, arXiv preprint arXiv:1412.6980 (2014)
2014
Earlier work this paper cites.
K. Simonyan and A. Zisserman, Computer Science (2014)
2014
Earlier work this paper cites.
K. Simonyan and A. Zisserman, arXiv preprint arXiv:1409.1556 (2014)
2014
Earlier work this paper cites.
N. Srivastava, G. Hinton, A. Krizhevsky, I. Sutskever, and R. Salakhutdinov, Journal of Machine Learning Research 15
2014
Earlier work this paper cites.
S. Liao, Y. Hu, X. Zhu, and S. Z. Li, “Person re-identification by local maximal occurrence representation and metric learning,” in Proc. IEEE Conference on Computer Vision and Pattern Recognition(CVPR), (2015), pp. 2197–2206
2015
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. IEEE International Conference on Computer Vision(ICCV), (2015), pp. 1116–1124
2015
Earlier work this paper cites.
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, A. Rabinovich et al. , “Going deeper with convolutions,” (Proc. IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2015)
2015
Earlier work this paper cites.
J. Long, E. Shelhamer, and T. Darrell, “Fully convolutional networks for semantic segmentation,” in Proc. IEEE Conference on Computer Vision and Pattern Recognition, (2015), pp. 3431–3440
2015
Earlier work this paper cites.
S. Ioffe and C. Szegedy, “Batch normalization: Accelerating deep network training by reducing internal covariate shift,” in Proc. International Conference on Machine Learning(ICML), (2015), pp. 448–456
2015
Earlier work this paper cites.
L. Zheng, Y. Yang, and A. G. Hauptmann, arXiv preprint arXiv:1610.02984 (2016)
2016
Earlier work this paper cites.
K. He, X. Zhang, S. Ren, and J. Sun, “Deep residual learning for image recognition,” in Proc. IEEE Conference on Computer Vision and Pattern Recognition(CVPR), (2016), pp. 770–778
2016
Cited alongside, same era.
C. Szegedy, V. Vanhoucke, S. Ioffe, J. Shlens, and Z. Wojna, “Rethinking the inception architecture for computer vision,” in Proc. IEEE conference on Computer Vision and Pattern Recognition(CVPR), (2016), pp. 2818–2826
2016
Cited alongside, same era.
Z. Zheng, L. Zheng, and Y. Yang, “Unlabeled samples generated by gan improve the person re-identification baseline in vitro,” in Proc. IEEE Conference on Computer Vision and Pattern Recognition(CVPR), (2017), pp. 3754–3762
2017
Cited alongside, same era.
Z. Zhong, L. Zheng, D. Cao, and S. Li, “Re-ranking person re-identification with k-reciprocal encoding,” in Proc. IEEE Conference on Computer Vision and Pattern Recognition(CVPR), (IEEE, 2017), pp. 3652–3661
2017
Cited alongside, same era.
J.-Y. Zhu, T. Park, P. Isola, and A. A. Efros, “Unpaired image-to-image translation using cycle-consistent adversarial networks,” in Proc. IEEE Conference on Computer Vision and Pattern Recognition(CVPR), (2017), pp. 2223–2232
2017
Later among the works it cites.
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 Proc. IEEE Conference on Computer Vision and Pattern Recognition(CVPR), (2017), pp. 907–915
2017
Later among the works it cites.
T. Xiao, S. Li, B. Wang, L. Lin, and X. Wang, “Joint detection and identification feature learning for person search,” in Proc. IEEE Conference on Computer Vision and Pattern Recognition(CVPR), (IEEE, 2017), pp. 3376–3385
2017
Later among the works it cites.
A. Schumann and R. Stiefelhagen, “Person re-identification by deep learning attribute-complementary information,” in Proc. IEEE Conference on Computer Vision and Pattern Recognition Workshops(CVPRW), (2017), pp. 1435–1443
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S. Xie, R. Girshick, P. Dollár, Z. Tu, and K. He, “Aggregated residual transformations for deep neural networks,” in Proc. IEEE Conference on Computer Vision and Pattern Recognition(CVPR), (IEEE, 2017), pp. 5987–5995
2017
Cited alongside, same era.
G. Huang, Z. Liu, K. Q. Weinberger, and L. van der Maaten, “Densely connected convolutional networks,” in Proc. IEEE Conference on Computer Vision and Pattern Recognition(CVPR), , vol. 1 (2017), p. 3
2017
Cited alongside, same era.
Y. Sun, L. Zheng, W. Deng, and S. Wang, “Svdnet for pedestrian retrieval,” in Proc. IEEE Conference on Computer Vision and Pattern Recognition(CVPR), (2017), pp. 3800–3808
2017
Cited alongside, same era.
R. Yu, Z. Zhou, S. Bai, and X. Bai, arXiv preprint arXiv:1708.04169 (2017)
2017
Cited alongside, same era.
A. Hermans, L. Beyer, and B. Leibe, arXiv preprint arXiv:1703.07737 (2017)
2017
Cited alongside, same era.
L. Zhao, X. Li, Y. Zhuang, and J. Wang, “Deeply-learned part-aligned representations for person re-identification,” in Proc. IEEE International Conference on Computer Vision(ICCV), (2017), pp. 3239–3248
2017
Cited alongside, same era.
Z. Zhong, L. Zheng, G. Kang, S. Li, and Y. Yang, arXiv preprint arXiv:1708.04896 (2017)
2017
Cited alongside, same era.
J. Redmon and A. Farhadi, “Yolo9000: Better, faster, stronger,” in Proc. IEEE Conference on Computer Vision and Pattern Recognition, (2017), pp. 6517–6525
2017
Cited alongside, same era.
2017
Later among the works it cites.
D. Li, X. Chen, Z. Zhang, and K. Huang, “Learning deep context-aware features over body and latent parts for person re-identification,” in Proc. IEEE Conference on Computer Vision and Pattern Recognition(CVPR), (2017)
2017
Later among the works it cites.
W. Li, X. Zhu, and S. Gong, “Person re-identification by deep joint learning of multi-loss classification,” in Twenty-Sixth International Joint Conference on Artificial Intelligence, (2017), pp. 2194–2200
2017
Later among the works it cites.
S. Bai, X. Bai, and Q. Tian, “Scalable person re-identification on supervised smoothed manifold,” in Proc. IEEE Conference on Computer Vision and Pattern Recognition(CVPR), , vol. 6 (2017), p. 7
2017
Later among the works it cites.
X. Chang, T. M. Hospedales, and T. Xiang, “Multi-level factorisation net for person re-identification,” in Proc. IEEE Conference on Computer Vision and Pattern Recognition(CVPR), , vol. 1 (2018), p. 2
2018
Closest in time.
J. Si, H. Zhang, C.-G. Li, J. Kuen, X. Kong, A. C. Kot, and G. Wang, “Dual attention matching network for context-aware feature sequence based person re-identification,” (2018)
2018
Closest in time.
W. Li, X. Zhu, and S. Gong, “Harmonious attention network for person re-identification,” in Proc. IEEE Conference on Computer Vision and Pattern Recognition(CVPR), , vol. 1 (2018), p. 2
2018
Closest in time.
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. IEEE Conference on Computer Vision and Pattern Recognition(CVPR), (2018), pp. 8042–8051
2018
Closest in time.
Y. Chen, X. Zhu, and S. Gong, “Person re-identification by deep learning multi-scale representations,” in Proc. IEEE International Conference on Computer Vision Workshop(ICCVW), (2018), pp. 2590–2600
2018
Closest in time.
J. Xu, R. Zhao, F. Zhu, H. Wang, and W. Ouyang, arXiv preprint arXiv:1805.03344 (2018)
2018
Closest in time.
M. Saquib Sarfraz, A. Schumann, A. Eberle, and R. Stiefelhagen, “A pose-sensitive embedding for person re-identification with expanded cross neighborhood re-ranking,” in Proc. IEEE Conference on Computer Vision and Pattern Recognition(CVPR), (2018), pp. 420–429
2018
Closest in time.
E. Ristani and C. Tomasi, arXiv preprint arXiv:1803.10859 (2018)
2018
Closest in time.