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This paper is on human pose estimation using Convolutional Neural Networks.
Pictorial structures for object recognition
Felzenszwalb, P.F., Huttenlocher, D.P.: · 2005
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Imagenet: A large-scale hierarchical image database
Deng, J., Dong, W., Socher, R., Li, L.J., Li, K., Fei-Fei, L.: · 2009
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Clustered pose and nonlinear appearance models for human pose estimation
Johnson, S., Everingham, M.: · 2010
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Articulated pose estimation with flexible mixtures-of-parts
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Torch7: A matlab-like environment for machine learning
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Exploring the spatial hierarchy of mixture models for human pose estimation
Tian, Y., Zitnick, C.L., Narasimhan, S.G.: · 2012
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Karlinsky, L., Ullman, S.: · 2012
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Lecture 6.5-rmsprop: Divide the gradient by a running average of its recent magnitude
Tieleman, T., Hinton, G.: · 2012
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Poselet conditioned pictorial structures
Pishchulin, L., Andriluka, M., Gehler, P., Schiele, B.: · 2013
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Modec: Multimodal decomposable models for human pose estimation
Sapp, B., Taskar, B.: · 2013
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Strong appearance and expressive spatial models for human pose estimation
Pishchulin, L., Andriluka, M., Gehler, P., Schiele, B.: · 2013
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Human pose estimation using body parts dependent joint regressors
Dantone, M., Gall, J., Leistner, C., Gool, L.: · 2013
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Pose machines: Articulated pose estimation via inference machines
Ramakrishna, V., Munoz, D., Hebert, M., Bagnell, J.A., Sheikh, Y.: · 2014
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Very deep convolutional networks for large-scale image recognition
Simonyan, K., Zisserman, A.: · 2014
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Deeppose: Human pose estimation via deep neural networks
Toshev, A., Szegedy, C.: · 2014
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Deep convolutional neural networks for efficient pose estimation in gesture videos
Pfister, T., Simonyan, K., Charles, J., Zisserman, A.: · 2014
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2d human pose estimation: New benchmark and state of the art analysis
Andriluka, M., Pishchulin, L., Gehler, P., Schiele, B.: · 2014
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Articulated pose estimation by a graphical model with image dependent pairwise relations
Chen, X., Yuille, A.L.: · 2014
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Joint training of a convolutional network and a graphical model for human pose estimation
Tompson, J.J., Jain, A., LeCun, Y., Bregler, C.: · 2014
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Bottom-up and top-down reasoning with convolutional latent-variable models
Hu, P., Ramanan, D.: · 2015
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Fan, X., Zheng, K., Lin, Y., Wang, S.: · 2015
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Stacked hourglass networks for human pose estimation
Newell, A., Yang, K., Deng, J.: · 2016
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Deepercut: A deeper, stronger, and faster multi-person pose estimation model
Insafutdinov, E., Pishchulin, L., Andres, B., Andriluka, M., Schiele, B.: · 2016
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