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This study presents a new network (i.e., PoseLifter) that can lift a 2D human pose to an absolute 3D pose in a camera coordinate system.
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The pascal visual object classes (voc) challenge
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Rectified linear units improve restricted boltzmann machines
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Reconstructing 3d human pose from 2d image landmarks
V. Ramakrishna, T. Kanade, and Y. Sheikh · 2012
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Lecture 6.5-rmsprop: Divide the gradient by a running average of its recent magnitude
T. Tieleman and G. Hinton · 2012
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Towards understanding action recognition
H. Jhuang, J. Gall, S. Zuffi, C. Schmid, and M. J. Black · 2013
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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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A simple prior-free method for non-rigid structure-from-motion factorization
Y. Dai, H. Li, and M. He · 2014
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Human3.6m: Large scale datasets and predictive methods for 3d human sensing in natural environments
C. Ionescu, D. Papava, V. Olaru, and C. Sminchisescu · 2014
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3d human pose estimation from monocular images with deep convolutional neural network
S. Li and A. B. Chan · 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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Dropout: a simple way to prevent neural networks from overfitting
N. Srivastava, G. Hinton, A. Krizhevsky, I. Sutskever, and R. Salakhutdinov · 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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Robust estimation of 3d human poses from a single image
C. Wang, Y. Wang, Z. Lin, A. L. Yuille, and W. Gao · 2014
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Pose-conditioned joint angle limits for 3d human pose reconstruction
I. Akhter and M. J. Black · 2015
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
S. Ioffe and C. Szegedy · 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, A. C. Berg, and L. Fei-Fei · 2015
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3d shape estimation from 2d landmarks: A convex relaxation approach
X. Zhou, S. Leonardos, X. Hu, and K. Daniilidis · 2015
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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Coarse-to-fine volumetric prediction for single-image 3d human pose
G. Pavlakos, X. Zhou, K. G. Derpanis, and K. Daniilidis · 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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Compositional human pose regression
X. Sun, J. Shang, S. Liang, and Y. Wei · 2017
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Towards 3d human pose estimation in the wild: A weakly-supervised approach
X. Zhou, Q. Huang, X. Sun, X. Xue, and Y. Wei · 2017
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Learning pose grammar to encode human body configuration for 3d pose estimation
H.-S. Fang, Y. Xu, W. Wang, X. Liu, and S.-C. Zhu · 2018
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Keep it smpl: Automatic estimation of 3d human pose and shape from a single image
F. Bogo, A. Kanazawa, C. Lassner, P. Gehler, J. Romero, and M. J. Black · 2016
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Nonparametric feature matching based conditional random fields for gesture recognition from multi-modal video
J. Y. Chang · 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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Sparseness meets deepness: 3d human pose estimation from monocular video
X. Zhou, M. Zhu, S. Leonardos, K. Derpanis, and K. Daniilidis · 2016
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Mask r-cnn
K. He, G. Gkioxari, P. Dollár, and R. Girshick · 2017
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Human pose regression by combining indirect part detection and contextual information
D. C. Luvizon, H. Tabia, and D. Picard · 2017
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End-to-end recovery of human shape and pose
A. Kanazawa, M. J. Black, D. W. Jacobs, and J. Malik · 2018
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Numerical coordinate regression with convolutional neural networks
A. Nibali, Z. He, S. Morgan, and L. Prendergast · 2018
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I. Sárándi, T. Linder, K. O. Arras, and B. Leibe · 2018
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Integral human pose regression
X. Sun, B. Xiao, F. Wei, 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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3d human pose estimation in the wild by adversarial learning
W. Yang, W. Ouyang, X. Wang, J. Ren, H. Li, and X. Wang · 2018
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Monocap: Monocular human motion capture using a cnn coupled with a geometric prior
X. Zhou, M. Zhu, G. Pavlakos, S. Leonardos, K. G. Derpanis, and K. Daniilidis · 2018
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Camera distance-aware top-down approach for 3d multi-person pose estimation from a single rgb image
G. Moon, J. Y. Chang, and K. M. Lee · 2019
Closest in time.
Posefix: Model-agnostic general human pose refinement network
G. Moon, J. Y. Chang, and K. M. Lee · 2019
Closest in time.