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The topic of multi-person pose estimation has been largely improved recently, especially with the development of convolutional neural network.
Gradient-based learning applied to document recognition
Y. Lecun, L. Bottou, Y. Bengio, and P. Haffner · 1998
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The representation and matching of pictorial structures
M. A. Fischler and R. A. Elschlager · 2006
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Pictorial structures revisited: People detection and articulated pose estimation
M. Andriluka, S. Roth, and B. Schiele · 2009
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Adaptive pose priors for pictorial structures
B. Sapp, C. Jordan, and B. Taskar · 2010
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Learning effective human pose estimation from inaccurate annotation
S. Johnson and M. Everingham · 2011
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Articulated pose estimation with flexible mixtures-of-parts
Y. Yang and D. Ramanan · 2011
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Human pose estimation using body parts dependent joint regressors
M. Dantone, J. Gall, C. Leistner, and L. Van Gool · 2013
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Articulated pose estimation using discriminative armlet classifiers
G. Gkioxari, P. Arbelaez, L. Bourdev, and J. Malik · 2013
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Poselet conditioned pictorial structures
L. Pishchulin, M. Andriluka, P. Gehler, and B. Schiele · 2013
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Modec: Multimodal decomposable models for human pose estimation
B. Sapp and B. Taskar · 2013
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Deeppose: Human pose estimation via deep neural networks
A. Toshev and C. Szegedy · 2013
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Articulated pose estimation by a graphical model with image dependent pairwise relations
X. Chen and A. Yuille · 2014
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Rich feature hierarchies for accurate object detection and semantic segmentation
R. Girshick, J. Donahue, T. Darrell, and J. Malik · 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. Tompson, A. Jain, Y. Lecun, and C. Bregler · 2014
Earlier work this paper cites.
Human pose estimation with iterative error feedback
J. Carreira, P. Agrawal, K. Fragkiadaki, and J. Malik · 2015
Cited alongside, same era.
Fast R-CNN
R. Girshick · 2015
Cited alongside, same era.
Faster R-CNN: Towards real-time object detection with region proposal networks
S. Ren, K. He, R. Girshick, and J. Sun · 2015
Cited alongside, same era.
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
Cited alongside, same era.
Recurrent human pose estimation
V. Belagiannis and A. Zisserman · 2016
Cited alongside, same era.
Human Pose Estimation via Convolutional Part Heatmap Regression
A. Bulat and G. Tzimiropoulos · 2016
Cited alongside, same era.
Training region-based object detectors with online hard example mining
A. Shrivastava, A. Gupta, and R. Girshick · 2016
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Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
C. Szegedy, S. Ioffe, V. Vanhoucke, and A. Alemi · 2016
Later among the works it cites.
Convolutional pose machines
S.-E. Wei, V. Ramakrishna, T. Kanade, and Y. Sheikh · 2016
Later among the works it cites.
Convolutional pose machines
S. E. Wei, V. Ramakrishna, T. Kanade, and Y. Sheikh · 2016
Later among the works it cites.
Improving Object Detection With One Line of Code
N. Bodla, B. Singh, R. Chellappa, and L. S. Davis · 2017
Closest in time.
Realtime multi-person 2d pose estimation using part affinity fields
Z. Cao, T. Simon, S.-E. Wei, and Y. Sheikh · 2017
Closest in time.
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Chained predictions using convolutional neural networks
G. Gkioxari, A. Toshev, and N. Jaitly · 2016
Cited alongside, same era.
Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Cited alongside, same era.
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.
Hypernet: Towards accurate region proposal generation and joint object detection
T. Kong, A. Yao, Y. Chen, and F. Sun · 2016
Cited alongside, same era.
Human pose estimation using deep consensus voting
I. Lifshitz, E. Fetaya, and S. Ullman · 2016
Cited alongside, same era.
Associative Embedding: End-to-End Learning for Joint Detection and Grouping
A. Newell, Z. Huang, and J. Deng · 2016
Cited alongside, same era.
Rmpe: Regional multi-person pose estimation
H.-S. Fang, S. Xie, Y.-W. Tai, and C. Lu · 2017
Closest in time.
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
Closest in time.
Feature pyramid networks for object detection
T.-Y. Lin, P. Dollár, R. Girshick, K. He, B. Hariharan, and S. Belongie · 2017
Closest in time.
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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Aggregated residual transformations for deep neural networks
S. Xie, R. Girshick, P. Dollar, Z. Tu, and K. He · 2017
Closest in time.
Learning feature pyramids for human pose estimation
W. Yang, S. Li, W. Ouyang, H. Li, and X. Wang · 2017
Closest in time.
Learning feature pyramids for human pose estimation
W. Yang, S. Li, W. Ouyang, H. Li, and X. Wang · 2017
Closest in time.