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Multi-person pose estimation from a 2D image is an essential technique for human behavior understanding.
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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Adam: A method for stochastic optimization
D. P. Kingma and J. Ba · 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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Joint training of a convolutional network and a graphical model for human pose estimation
J. J. Tompson, A. Jain, Y. LeCun, and C. Bregler · 2014
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Deeppose: Human pose estimation via deep neural networks
A. Toshev and C. Szegedy · 2014
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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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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, et al · 2015
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Tensorflow: a system for large-scale machine learning
M. Abadi, P. Barham, J. Chen, Z. Chen, A. Davis, J. Dean, M. Devin, S. Ghemawat, G. Irving, M. Isard, et al · 2016
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Human pose estimation via convolutional part heatmap regression
A. Bulat and G. Tzimiropoulos · 2016
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Human pose estimation with iterative error feedback
J. Carreira, P. Agrawal, K. Fragkiadaki, and J. Malik · 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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Deepercut: A deeper, stronger, and faster multi-person pose estimation model
E. Insafutdinov, L. Pishchulin, B. Andres, M. Andriluka, and B. Schiele · 2016
Cited alongside, same era.
Stacked hourglass networks for human pose estimation
A. Newell, K. Yang, and J. Deng · 2016
Cited alongside, same era.
Deepcut: Joint subset partition and labeling for multi person pose estimation
L. Pishchulin, E. Insafutdinov, S. Tang, B. Andres, M. Andriluka, P. V. Gehler, and B. Schiele · 2016
Cited alongside, same era.
Convolutional pose machines
S.-E. Wei, V. Ramakrishna, T. Kanade, and Y. Sheikh · 2016
Cited alongside, same era.
Realtime multi-person 2d pose estimation using part affinity fields
Z. Cao, T. Simon, S.-E. Wei, and Y. Sheikh · 2017
Cited alongside, same era.
Multi-context attention for human pose estimation
X. Chu, W. Yang, W. Ouyang, C. Ma, A. L. Yuille, and X. Wang · 2017
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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Benchmarking and error diagnosis in multi-instance pose estimation
M. R. Ronchi and P. Perona · 2017
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Aggregated residual transformations for deep neural networks
S. Xie, R. Girshick, P. Dollár, Z. Tu, and K. He · 2017
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Posetrack: A benchmark for human pose estimation and tracking
M. Andriluka, U. Iqbal, E. Insafutdinov, L. Pishchulin, A. Milan, J. Gall, and B. Schiele · 2018
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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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Learning to refine human pose estimation
M. Fieraru, A. Khoreva, L. Pishchulin, and B. Schiele · 2018
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Rmpe: Regional multi-person pose estimation
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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A coarse-fine network for keypoint localization
S. Huang, M. Gong, and D. Tao · 2017
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Associative embedding: End-to-end learning for joint detection and grouping
A. Newell, Z. Huang, and J. Deng · 2017
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Multi-scale structure-aware network for human pose estimation
L. Ke, M.-C. Chang, H. Qi, and S. Lyu · 2018
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Multiposenet: Fast multi-person pose estimation using pose residual network
M. Kocabas, S. Karagoz, and E. Akbas · 2018
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Integral human pose regression
X. Sun, B. Xiao, S. Liang, and Y. Wei · 2018
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Simple baselines for human pose estimation and tracking
B. Xiao, H. Wu, and Y. Wei · 2018
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