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Human pose estimation are of importance for visual understanding tasks such as action recognition and human-computer interaction.
Microsoft kinect sensor and its effect
Z. Zhang · 2012
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2d human pose estimation: New benchmark and state of the art analysis
M. Andriluka, L. Pishchulin, P. Gehler, and B. Schiele · 2014
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Microsoft coco: Common objects in context
T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick · 2014
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Deeppose: Human pose estimation via deep neural networks
A. Toshev and C. Szegedy · 2014
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Deepercut: A deeper, stronger, and faster multi-person pose estimation model
E. Insafutdinov, L. Pishchulin, B. Andres, M. Andriluka, and B. Schiele · 2016
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Stacked hourglass networks for human pose estimation
A. Newell, K. Yang, and J. Deng · 2016
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L. Pishchulin, E. Insafutdinov, S. Tang, B. Andres, M. Andriluka, P. V. Gehler, and B. Schiele · 2016
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S.-E. Wei, V. Ramakrishna, T. Kanade, and Y. Sheikh · 2016
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Realtime multi-person 2d pose estimation using part affinity fields
Z. Cao, T. Simon, S.-E. Wei, and Y. Sheikh · 2017
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H. Fang, S. Xie, Y.-W. Tai, and C. Lu · 2017
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Mask r-cnn
K. He, G. Gkioxari, P. Dollár, and R. Girshick · 2017
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Posetrack: Joint multi-person pose estimation and tracking
U. Iqbal, A. Milan, and J. Gall · 2017
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Towards accurate multi-person pose estimation in the wild
G. Papandreou, T. Zhu, N. Kanazawa, A. Toshev, J. Tompson, C. Bregler, and K. Murphy · 2017
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Uct: Learning unified convolutional networks for real-time visual tracking
Z. Zhu, G. Huang, W. Zou, D. Du, and C. Huang · 2017
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Cascaded pyramid network for multi-person pose estimation
Y. Chen, Z. Wang, Y. Peng, Z. Zhang, G. Yu, and J. Sun · 2018
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High performance visual tracking with siamese region proposal network
B. Li, J. Yan, W. Wu, Z. Zhu, and X. Hu · 2018
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Hybrid task cascade for instance segmentation
K. Chen, J. Pang, J. Wang, Y. Xiong, X. Li, S. Sun, W. Feng, Z. Liu, J. Shi, W. Ouyang, et al · 2019
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J. Li, C. Wang, H. Zhu, Y. Mao, H.-S. Fang, and C. Lu · 2019
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State-aware re-identification feature for multi-target multi-camera tracking
P. Li, J. Zhang, Z. Zhu, Y. Li, L. Jiang, and G. Huang · 2019
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Rethinking on multi-stage networks for human pose estimation
W. Li, Z. Wang, B. Yin, Q. Peng, Y. Du, T. Xiao, G. Yu, H. Lu, Y. Wei, and J. Sun · 2019
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Attention-guided unified network for panoptic segmentation
Y. Li, X. Chen, Z. Zhu, L. Xie, G. Huang, D. Du, and X. Wang · 2019
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Deep high-resolution representation learning for human pose estimation
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B. Xiao, H. Wu, and Y. Wei · 2018
Cited alongside, same era.
End-to-end video-level representation learning for action recognition
J. Zhu, Z. Zhu, and W. Zou · 2018
Cited alongside, same era.
Action machine: Rethinking action recognition in trimmed videos
J. Zhu, W. Zou, L. Xu, Y. Hu, Z. Zhu, M. Chang, J. Huang, G. Huang, and D. Du · 2018
Cited alongside, same era.
Two-stream gated fusion convnets for action recognition
J. Zhu, W. Zou, and Z. Zhu · 2018
Cited alongside, same era.
Distractor-aware siamese networks for visual object tracking
Z. Zhu, Q. Wang, B. Li, W. Wu, J. Yan, and W. Hu · 2018
Cited alongside, same era.
End-to-end flow correlation tracking with spatial-temporal attention
Z. Zhu, W. Wu, W. Zou, and J. Yan · 2018
Cited alongside, same era.
K. Sun, B. Xiao, D. Liu, and J. Wang · 2019
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Fast human pose estimation
F. Zhang, X. Zhu, and M. Ye · 2019
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Fastpose: Towards real-time pose estimation and tracking via scale-normalized multi-task networks
J. Zhang, Z. Zhu, W. Zou, P. Li, Y. Li, H. Su, and G. Huang · 2019
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Exploiting offset-guided network for pose estimation and tracking
R. Zhang, Z. Zhu, P. Li, R. Wu, C. Guo, G. Huang, and H. Xia · 2019
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Convolutional relation network for skeleton-based action recognition
J. Zhu, W. Zou, Z. Zhu, and Y. Hu · 2019
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Human following for wheeled robot with monocular pan-tilt camera
Z. Zhu, H. Ma, and W. Zou · 2019
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