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Pose Machines provide a sequential prediction framework for learning rich implicit spatial models.
Learning long-term dependencies with gradient descent is difficult
Y. Bengio, P. Simard, and P. Frasconi · 1994
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Gradient flow in recurrent nets: the difficulty of learning long-term dependencies
S. Hochreiter, Y. Bengio, P. Frasconi, and J. Schmidhuber · 2001
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Pictorial structures for object recognition
P. Felzenszwalb and D. Huttenlocher · 2005
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Beyond trees: Common-factor models for 2D human pose recovery
X. Lan and D. Huttenlocher · 2005
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Strike a Pose: Tracking people by finding stylized poses
D. Ramanan, D. A. Forsyth, and A. Zisserman · 2005
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Measure locally, reason globally: Occlusion-sensitive articulated pose estimation
L. Sigal and M. Black · 2006
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Multiple tree models for occlusion and spatial constraints in human pose estimation
Y. Wang and G. Mori · 2008
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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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Monocular 3D pose estimation and tracking by detection
M. Andriluka, S. Roth, and B. Schiele · 2010
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Learning In Modular Systems
D. Bradley · 2010
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Understanding the difficulty of training deep feedforward neural networks
X. Glorot and Y. Bengio · 2010
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Clustered pose and nonlinear appearance models for human pose estimation
S. Johnson and M. Everingham · 2010
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Stacked hierarchical labeling
D. Munoz, J. Bagnell, and M. Hebert · 2010
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Auto-context and its application to high-level vision tasks and 3d brain image segmentation
Z. Tu and X. Bai · 2010
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Learning effective human pose estimation from inaccurate annotation
S. Johnson and M. Everingham · 2011
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Learning message-passing inference machines for structured prediction
S. Ross, D. Munoz, M. Hebert, and J. Bagnell · 2011
Cited alongside, same era.
Articulated part-based model for joint object detection and pose estimation
M. Sun and S. Savarese · 2011
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Articulated pose estimation with flexible mixtures-of-parts
Y. Yang and D. Ramanan · 2011
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Using linking features in learning non-parametric part models
L. Karlinsky and S. Ullman · 2012
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Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
Cited alongside, same era.
Exploring the spatial hierarchy of mixture models for human pose estimation
Y. Tian, C. L. Zitnick, and S. G. Narasimhan · 2012
Cited alongside, same era.
Human pose estimation with fields of parts
M. Kiefel and P. V. Gehler · 2014
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Multi-source deep learning for human pose estimation
W. Ouyang, X. Chu, and X. Wang · 2014
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Recurrent convolutional neural networks for scene labeling
P. Pinheiro and R. Collobert · 2014
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Pose Machines: Articulated Pose Estimation via Inference Machines
V. Ramakrishna, D. Munoz, M. Hebert, J. Bagnell, and Y. Sheikh · 2014
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Going deeper with convolutions
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich · 2014
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Joint training of a convolutional network and a graphical model for human pose estimation
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Human pose estimation using body parts dependent joint regressors
M. Dantone, J. Gall, C. Leistner, and L. Van Gool · 2013
Cited alongside, same era.
Poselet conditioned pictorial structures
L. Pishchulin, M. Andriluka, P. Gehler, and B. Schiele · 2013
Cited alongside, same era.
Strong appearance and expressive spatial models for human pose estimation
L. Pishchulin, M. Andriluka, P. Gehler, and B. Schiele · 2013
Cited alongside, same era.
MODEC: Multimodal Decomposable Models for Human Pose Estimation
B. Sapp and B. Taskar · 2013
Cited alongside, same era.
DeepPose: Human pose estimation via deep neural networks
A. Toshev and C. Szegedy · 2013
Cited alongside, same era.
Articulated human detection with flexible mixtures of parts
Y. Yang and D. Ramanan · 2013
Cited alongside, same era.
J. Tompson, A. Jain, Y. LeCun, and C. Bregler · 2014
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Human pose estimation with iterative error feedback
J. Carreira, P. Agrawal, K. Fragkiadaki, and J. Malik · 2015
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2015
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Deeply-supervised nets
C.-Y. Lee, S. Xie, P. Gallagher, Z. Zhang, and Z. Tu · 2015
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Fully convolutional networks for semantic segmentation
J. Long, E. Shelhamer, and T. Darrell · 2015
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Flowing convnets for human pose estimation in videos
T. Pfister, J. Charles, and A. Zisserman · 2015
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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 · 2015
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End-to-end people detection in crowded scenes
R. Stewart and M. Andriluka · 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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