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Video-based person re-identification (ReID) is a challenging problem, where some video tracks of people across non-overlapping cameras are available for matching.
A non-local algorithm for image denoising
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D. Gray, S. Brennan, and H. Tao · 2007
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P. F. Felzenszwalb, R. B. Girshick, D. McAllester, and D. Ramanan · 2010
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Person re-identification by descriptive and discriminative classification
M. Hirzer, C. Beleznai, P. M. Roth, and H. Bischof · 2011
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3d convolutional neural networks for human action recognition
S. Ji, W. Xu, M. Yang, and K. Yu · 2013
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Adam: A method for stochastic optimization
D. P. Kingma and J. Ba · 2014
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Deepreid: Deep filter pairing neural network for person re-identification
W. Li, R. Zhao, T. Xiao, and X. Wang · 2014
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C3D: generic features for video analysis
D. Tran, L. D. Bourdev, R. Fergus, L. Torresani, and M. Paluri · 2014
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Person re-identification by video ranking
T. Wang, S. Gong, X. Zhu, and S. Wang · 2014
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An improved deep learning architecture for person re-identification
E. Ahmed, M. Jones, and T. K. Marks · 2015
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Deep feature learning with relative distance comparison for person re-identification
S. Ding, L. Lin, G. Wang, and H. Chao · 2015
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Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
K. He, X. Zhang, S. Ren, and J. Sun · 2015
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Bidirectional recurrent convolutional networks for multi-frame super-resolution
Y. Huang, W. Wang, and L. Wang · 2015
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Person re-identification with discriminatively trained viewpoint invariant dictionaries
S. Karanam, Y. Li, and R. J. Radke · 2015
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Person re-identification by local maximal occurrence representation and metric learning
S. Liao, Y. Hu, X. Zhu, and S. Z. Li · 2015
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A spatio-temporal appearance representation for video-based pedestrian re-identification
K. Liu, B. Ma, W. Zhang, and R. Huang · 2015
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ImageNet Large Scale Visual Recognition Challenge
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, A. C. Berg, and L. Fei-Fei · 2015
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Learning spatiotemporal features with 3d convolutional networks
D. Tran, L. Bourdev, R. Fergus, L. Torresani, and M. Paluri · 2015
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Person re-identification by exploiting spatio-temporal cues and multi-view metric learning
J. Chen, Y. Wang, and Y. Y. Tang · 2016
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Deep ranking for person re-identification via joint representation learning
S. Z. Chen, C. C. Guo, and J. H. Lai · 2016
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Recurrent convolutional network for video-based person re-identification
N. McLaughlin, J. Martinez del Rincon, and P. Miller · 2016
The kinetics human action video dataset
W. Kay, J. Carreira, K. Simonyan, B. Zhang, C. Hillier, S. Vijayanarasimhan, F. Viola, T. Green, T. Back, P. Natsev, M. Suleyman, and A. Zisserman · 2017
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Improving person re-identification by attribute and identity learning
Y. Lin, L. Zheng, Z. Zheng, Y. Wu, and Y. Yang · 2017
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Video-based person re-identification with accumulative motion context
H. Liu, Z. Jie, J. Karlekar, M. Qi, J. Jiang, S. Yan, and J. Feng · 2017
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Quality aware network for set to set recognition
Y. Liu, J. Yan, and W. Ouyang · 2017
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Automatic differentiation in pytorch
A. Paszke, S. Gross, S. Chintala, G. Chanan, E. Yang, Z. DeVito, Z. Lin, A. Desmaison, L. Antiga, and A. Lerer · 2017
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Cited alongside, same era.
MARS: A Video Benchmark for Large-Scale Person Re-identification
Springer · 2016
Cited alongside, same era.
Rethinking the inception architecture for computer vision
C. Szegedy, V. Vanhoucke, S. Ioffe, J. Shlens, and Z. Wojna · 2016
Cited alongside, same era.
Top-push video-based person re-identification
J. You, A. Wu, X. Li, and W. Zheng · 2016
Cited alongside, same era.
Person re-identification in the wild
L. Zheng, H. Zhang, S. Sun, M. Chandraker, and Q. Tian · 2016
Cited alongside, same era.
Video-based person re-identification by simultaneously learning intra-video and inter-video distance metrics
X. Zhu, X.-Y. Jing, F. Wu, and H. Feng · 2016
Cited alongside, same era.
Quo vadis, action recognition? A new model and the kinetics dataset
J. Carreira and A. Zisserman · 2017
Cited alongside, same era.
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Attention is all you need
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, L. u. Kaiser, and I. Polosukhin · 2017
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Rethinking spatiotemporal feature learning for video understanding
S. Xie, C. Sun, J. Huang, Z. Tu, and K. Murphy · 2017
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Jointly attentive spatial-temporal pooling networks for video-based person re-identification
S. Xu, Y. Cheng, K. Gu, Y. Yang, S. Chang, and P. Zhou · 2017
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Person re-identification via recurrent feature aggregation
Y. Yan, B. Ni, Z. Song, C. Ma, Y. Yan, and X. Yang · 2017
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Spindle net: Person re-identification with human body region guided feature decomposition and fusion
H. Zhao, M. Tian, S. Sun, J. Shao, J. Yan, S. Yi, X. Wang, and X. Tang · 2017
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See the forest for the trees: Joint spatial and temporal recurrent neural networks for video-based person re-identification
Z. Zhou, Y. Huang, W. Wang, L. Wang, and T. Tan · 2017
Later among the works it cites.
Revisiting temporal modeling for video-based person reid
J. Gao and R. Nevatia · 2018
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Diversity regularized spatiotemporal attention for video-based person re-identification
S. Li, S. Bak, P. Carr, and X. Wang · 2018
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Mask-guided contrastive attention model for person re-identification
C. Song, Y. Huang, W. Ouyang, and L. Wang · 2018
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Part-aligned bilinear representations for person re-identification
Y. Suh, J. Wang, S. Tang, T. Mei, and K. M. Lee · 2018
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Non-local neural networks
X. Wang, R. Girshick, A. Gupta, and K. He · 2018
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