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This paper is on highly accurate and highly efficient human pose estimation.
Clustered pose and nonlinear appearance models for human pose estimation
S. Johnson and M. Everingham · 2010
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Learning effective human pose estimation from inaccurate annotation
S. Johnson and M. Everingham · 2011
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Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
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Lecture 6.5-rmsprop: Divide the gradient by a running average of its recent magnitude
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2d human pose estimation: New benchmark and state of the art analysis
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Microsoft coco: Common objects in context
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Very deep convolutional networks for large-scale image recognition
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U-net: Convolutional networks for biomedical image segmentation
O. Ronneberger, P. Fischer, and T. Brox · 2015
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R. K. Srivastava, K. Greff, and J. Schmidhuber · 2015
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Efficient object localization using convolutional networks
J. Tompson, R. Goroshin, A. Jain, Y. LeCun, and C. Bregler · 2015
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Human pose estimation via convolutional part heatmap regression
A. Bulat and G. Tzimiropoulos · 2016
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Highway and residual networks learn unrolled iterative estimation
K. Greff, R. K. Srivastava, and J. Schmidhuber · 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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Identity mappings in deep residual networks
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Densely connected convolutional networks
G. Huang, Z. Liu, K. Q. Weinberger, and L. van der Maaten · 2016
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Squeezenet: Alexnet-level accuracy with 50x fewer parameters and¡ 0.5 mb model size
F. N. Iandola, S. Han, M. W. Moskewicz, K. Ashraf, W. J. Dally, and K. Keutzer · 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
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Human pose estimation using deep consensus voting
I. Lifshitz, E. Fetaya, and S. Ullman · 2016
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Stacked hourglass networks for human pose estimation
A. Newell, K. Yang, and J. Deng · 2016
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Deepcut: Joint subset partition and labeling for multi person pose estimation
L. Pishchulin, E. Insafutdinov, S. Tang, B. Andres, M. Andriluka, P. Gehler, and B. Schiele · 2016
Multi-context attention for human pose estimation
X. Chu, W. Yang, W. Ouyang, C. Ma, A. L. Yuille, and X. Wang · 2017
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Mobilenets: Efficient convolutional neural networks for mobile vision applications
A. G. Howard, M. Zhu, B. Chen, D. Kalenichenko, W. Wang, T. Weyand, M. Andreetto, and H. Adam · 2017
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Residual connections encourage iterative inference
S. Jastrzkbski, D. Arpit, N. Ballas, V. Verma, T. Che, and Y. Bengio · 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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Learning feature pyramids for human pose estimation
W. Yang, S. Li, W. Ouyang, H. Li, and X. Wang · 2017
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An efficient convolutional network for human pose estimation
U. Rafi, B. Leibe, J. Gall, and I. Kostrikov · 2016
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Convolutional pose machines
S.-E. Wei, V. Ramakrishna, T. Kanade, and Y. Sheikh · 2016
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End-to-end learning of deformable mixture of parts and deep convolutional neural networks for human pose estimation
W. Yang, W. Ouyang, H. Li, and X. Wang · 2016
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Deep deformation network for object landmark localization
X. Yu, F. Zhou, and M. Chandraker · 2016
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Recurrent human pose estimation
V. Belagiannis and A. Zisserman · 2017
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Binarized convolutional landmark localizers for human pose estimation and face alignment with limited resources
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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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Knowledge-guided deep fractal neural networks for human pose estimation
G. Ning, Z. Zhang, and Z. He · 2018
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Deeply learned compositional models for human pose estimation
W. Tang, P. Yu, and Y. Wu · 2018
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Quantized densely connected u-nets for efficient landmark localization
Z. Tang, X. Peng, S. Geng, L. Wu, S. Zhang, and D. Metaxas · 2018
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Cu-net: Coupled u-nets
Z. Tang, X. Peng, S. Geng, Y. Zhu, and D. Metaxas · 2018
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Adversarial learning of structure-aware fully convolutional networks for landmark localization
Y. Chen, C. Shen, H. Chen, X.-S. Wei, L. Liu, and J. Yang · 2019
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Anchor loss: Modulating loss scale based on prediction difficulty
S. Ryou, S.-G. Jeong, and P. Perona · 2019
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Deep high-resolution representation learning for human pose estimation
K. Sun, B. Xiao, D. Liu, and J. Wang · 2019
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