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H. W. Kuhn, “The hungarian method for the assignment problem,” in Naval research logistics quarterly . Wiley Online Library, 1955
1955
Earlier work this paper cites.
D. W. Marquardt, “An algorithm for least-squares estimation of nonlinear parameters,” Journal of the society for Industrial and Applied Mathematics , vol. 11, no. 2, pp. 431–441, 1963
1963
Earlier work this paper cites.
Y. Bengio, P. Simard, and P. Frasconi, “Learning long-term dependencies with gradient descent is difficult,” IEEE Transactions on Neural Networks , 1994
1994
Earlier work this paper cites.
G. Bradski, “The OpenCV Library,” Dr. Dobb’s Journal of Software Tools , 2000
2000
Earlier work this paper cites.
S. Hochreiter, Y. Bengio, and P. Frasconi, “Gradient flow in recurrent nets: the difficulty of learning long-term dependencies,” in Field Guide to Dynamical Recurrent Networks , J. Kolen and S. Kremer, Eds. IEEE Press, 2001
2001
Earlier work this paper cites.
D. B. West et al. , Introduction to graph theory . Prentice hall Upper Saddle River, 2001, vol. 2
2001
Earlier work this paper cites.
P. F. Felzenszwalb and D. P. Huttenlocher, “Pictorial structures for object recognition,” in IJCV , 2005
2005
Earlier work this paper cites.
D. Ramanan, D. A. Forsyth, and A. Zisserman, “Strike a Pose: Tracking people by finding stylized poses,” in CVPR , 2005
2005
Earlier work this paper cites.
X. Lan and D. P. Huttenlocher, “Beyond trees: Common-factor models for 2d human pose recovery,” in ICCV , 2005
2005
Earlier work this paper cites.
L. Sigal and M. J. Black, “Measure locally, reason globally: Occlusion-sensitive articulated pose estimation,” in CVPR , 2006
2006
Earlier work this paper cites.
Y. Wang and G. Mori, “Multiple tree models for occlusion and spatial constraints in human pose estimation,” in ECCV , 2008
2008
Earlier work this paper cites.
——, “Pictorial structures revisited: People detection and articulated pose estimation,” in CVPR , 2009
2009
Earlier work this paper cites.
M. Andriluka, S. Roth, and B. Schiele, “Monocular 3D pose estimation and tracking by detection,” in CVPR , 2010
2010
Earlier work this paper cites.
S. Johnson and M. Everingham, “Clustered pose and nonlinear appearance models for human pose estimation,” in BMVC , 2010
2010
Earlier work this paper cites.
X. Glorot and Y. Bengio, “Understanding the difficulty of training deep feedforward neural networks,” in AISTATS , 2010
2010
Earlier work this paper cites.
M. Eichner and V. Ferrari, “We are family: Joint pose estimation of multiple persons,” in ECCV , 2010
2010
Earlier work this paper cites.
M. Sun and S. Savarese, “Articulated part-based model for joint object detection and pose estimation,” in ICCV , 2011
2011
Earlier work this paper cites.
L. Karlinsky and S. Ullman, “Using linking features in learning non-parametric part models,” in ECCV , 2012
2012
Earlier work this paper cites.
L. Pishchulin, A. Jain, M. Andriluka, T. Thormählen, and B. Schiele, “Articulated people detection and pose estimation: Reshaping the future,” in CVPR , 2012
2012
Earlier work this paper cites.
L. Pishchulin, M. Andriluka, P. Gehler, and B. Schiele, “Poselet conditioned pictorial structures,” in CVPR , 2013
2013
Earlier work this paper cites.
Y. Yang and D. Ramanan, “Articulated human detection with flexible mixtures of parts,” in TPAMI , 2013
2013
Earlier work this paper cites.
M. Dantone, J. Gall, C. Leistner, and L. Van Gool, “Human pose estimation using body parts dependent joint regressors,” in CVPR , 2013
2013
Earlier work this paper cites.
W. Ouyang, X. Chu, and X. Wang, “Multi-source deep learning for human pose estimation,” in CVPR , 2014
2014
Earlier work this paper cites.
J. J. Tompson, A. Jain, Y. LeCun, and C. Bregler, “Joint training of a convolutional network and a graphical model for human pose estimation,” in NIPS , 2014
2014
Earlier work this paper cites.
X. Chen and A. Yuille, “Articulated pose estimation by a graphical model with image dependent pairwise relations,” in NIPS , 2014
2014
Earlier work this paper cites.
A. Toshev and C. Szegedy, “Deeppose: Human pose estimation via deep neural networks,” in CVPR , 2014
2014
Cited alongside, same era.
V. Ramakrishna, D. Munoz, M. Hebert, J. A. Bagnell, and Y. Sheikh, “Pose machines: Articulated pose estimation via inference machines,” in ECCV , 2014
2014
Cited alongside, same era.
G. Gkioxari, B. Hariharan, R. Girshick, and J. Malik, “Using k-poselets for detecting people and localizing their keypoints,” in CVPR , 2014
2014
Cited alongside, same era.
M. Andriluka, L. Pishchulin, P. Gehler, and B. Schiele, “2D human pose estimation: new benchmark and state of the art analysis,” in CVPR , 2014
2014
Cited alongside, same era.
T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick, “Microsoft COCO: common objects in context,” in ECCV , 2014
2014
Cited alongside, same era.
Y. Chen, C. Shen, X.-S. Wei, L. Liu, and J. Yang, “Adversarial posenet: A structure-aware convolutional network for human pose estimation,” in ICCV , 2017
2017
Later among the works it cites.
G. Papandreou, T. Zhu, N. Kanazawa, A. Toshev, J. Tompson, C. Bregler, and K. Murphy, “Towards accurate multi-person pose estimation in the wild,” in CVPR , 2017
2017
Later among the works it cites.
E. Insafutdinov, M. Andriluka, L. Pishchulin, S. Tang, E. Levinkov, B. Andres, and B. Schiele, “Arttrack: Articulated multi-person tracking in the wild,” in CVPR , 2017
2017
Later among the works it cites.
A. Newell, Z. Huang, and J. Deng, “Associative embedding: End-to-end learning for joint detection and grouping,” in NIPS , 2017
2017
Later among the works it cites.
G. Huang, Z. Liu, K. Q. Weinberger, and L. van der Maaten, “Densely connected convolutional networks,” in CVPR , 2017
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J. Tompson, R. Goroshin, A. Jain, Y. LeCun, and C. Bregler, “Efficient object localization using convolutional networks,” in CVPR , 2015
2015
Cited alongside, same era.
T. Pfister, J. Charles, and A. Zisserman, “Flowing convnets for human pose estimation in videos,” in ICCV , 2015
2015
Cited alongside, same era.
K. Simonyan and A. Zisserman, “Very deep convolutional networks for large-scale image recognition,” in ICLR , 2015
2015
Cited alongside, same era.
M. Loper, N. Mahmood, J. Romero, G. Pons-Moll, and M. J. Black, “Smpl: A skinned multi-person linear model,” in ACM TOG , 2015
2015
Cited alongside, same era.
S. Ren, K. He, R. Girshick, and J. Sun, “Faster r-cnn: Towards real-time object detection with region proposal networks,” in NIPS , 2015
2015
Cited alongside, same era.
2015
Cited alongside, same era.
L. Pishchulin, E. Insafutdinov, S. Tang, B. Andres, M. Andriluka, P. Gehler, and B. Schiele, “Deepcut: Joint subset partition and labeling for multi person pose estimation,” in CVPR , 2016
2016
Cited alongside, same era.
2017
Later among the works it cites.
D. Mehta, S. Sridhar, O. Sotnychenko, H. Rhodin, M. Shafiei, H.-P. Seidel, W. Xu, D. Casas, and C. Theobalt, “Vnect: Real-time 3d human pose estimation with a single rgb camera,” in ACM TOG , 2017
2017
Later among the works it cites.
T. Simon, H. Joo, I. Matthews, and Y. Sheikh, “Hand keypoint detection in single images using multiview bootstrapping,” in CVPR , 2017
2017
Later among the works it cites.
E. Levinkov, J. Uhrig, S. Tang, M. Omran, E. Insafutdinov, A. Kirillov, C. Rother, T. Brox, B. Schiele, and B. Andres, “Joint graph decomposition & node labeling: Problem, algorithms, applications,” in CVPR , 2017
2017
Later among the works it cites.
J. Huang, V. Rathod, C. Sun, M. Zhu, A. Korattikara, A. Fathi, I. Fischer, Z. Wojna, Y. Song, S. Guadarrama et al. , “Speed/accuracy trade-offs for modern convolutional object detectors,” in CVPR , 2017
2017
Later among the works it cites.
J. Redmon and A. Farhadi, “Yolo9000: better, faster, stronger,” in CVPR , 2017
2017
Later among the works it cites.
W. Tang, P. Yu, and Y. Wu, “Deeply learned compositional models for human pose estimation,” in ECCV , 2018
2018
Closest in time.
L. Ke, M.-C. Chang, H. Qi, and S. Lyu, “Multi-scale structure-aware network for human pose estimation,” in ECCV , 2018
2018
Closest in time.
Y. Chen, Z. Wang, Y. Peng, Z. Zhang, G. Yu, and J. Sun, “Cascaded pyramid network for multi-person pose estimation,” in CVPR , 2018
2018
Closest in time.
B. Xiao, H. Wu, and Y. Wei, “Simple baselines for human pose estimation and tracking,” in ECCV , 2018
2018
Closest in time.
G. Papandreou, T. Zhu, L.-C. Chen, S. Gidaris, J. Tompson, and K. Murphy, “Personlab: Person pose estimation and instance segmentation with a bottom-up, part-based, geometric embedding model,” in ECCV , 2018
2018
Closest in time.
M. Kocabas, S. Karagoz, and E. Akbas, “MultiPoseNet: Fast multi-person pose estimation using pose residual network,” in ECCV , 2018
2018
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X. Nie, J. Feng, J. Xing, and S. Yan, “Pose partition networks for multi-person pose estimation,” in ECCV , 2018
2018
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X. Qian, Y. Fu, T. Xiang, W. Wang, J. Qiu, Y. Wu, Y.-G. Jiang, and X. Xue, “Pose-normalized image generation for person re-identification,” in ECCV , 2018
2018
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A. Bansal, S. Ma, D. Ramanan, and Y. Sheikh, “Recycle-gan: Unsupervised video retargeting,” in ECCV , 2018
2018
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C. Chan, S. Ginosar, T. Zhou, and A. A. Efros, “Everybody dance now,” in ECCV Workshop , 2018
2018
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L. Gui, K. Zhang, Y.-X. Wang, X. Liang, J. M. Moura, and M. M. Veloso, “Teaching robots to predict human motion,” in IROS , 2018
2018
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P. Panteleris, I. Oikonomidis, and A. Argyros, “Using a single rgb frame for real time 3d hand pose estimation in the wild,” in IEEE WACV . IEEE, 2018, pp. 436–445
2018
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H. Joo, T. Simon, and Y. Sheikh, “Total capture: A 3d deformation model for tracking faces, hands, and bodies,” in CVPR , 2018
2018
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M. Fieraru, A. Khoreva, L. Pishchulin, and B. Schiele, “Learning to refine human pose estimation,” in CVPR Workshop , 2018
2018
Closest in time.