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We propose an end-to-end architecture for joint 2D and 3D human pose estimation in natural images.
G. Shakhnarovich, P. Viola, and T. Darrell, “Fast pose estimation with parameter-sensitive hashing,” in CVPR , 2003
2003
Earlier work this paper cites.
A. Agarwal and B. Triggs, “3D human pose from silhouettes by relevance vector regression,” in CVPR , 2004
2004
Earlier work this paper cites.
C. Sminchisescu, A. Kanaujia, Z. Li, and D. N. Metaxas, “Generative modeling for continuous non-linearly embedded visual inference,” in CVPR , 2005
2005
Earlier work this paper cites.
M. Müller, T. Röder, M. Clausen, B. Eberhardt, B. Krüger, and A. Weber, “Documentation MoCap database HDM05,” Universität Bonn, Tech. Rep. CG-2007-2, 2007
2007
Earlier work this paper cites.
G. Rogez, J. Rihan, S. Ramalingam, C. Orrite, and P. H. S. Torr, “Randomized trees for human pose detection,” in CVPR , 2008
2008
Earlier work this paper cites.
L. Bo, C. Sminchisescu, A. Kanaujia, and D. Metaxas, “Fast algorithms for large scale conditional 3D prediction,” in CVPR , 2008
2008
Earlier work this paper cites.
J. Deng, W. Dong, R. Socher, L. Li, K. Li, and L. Fei-Fei, “Imagenet: A large-scale hierarchical image database,” in CVPR , 2009
2009
Earlier work this paper cites.
L. Sigal, A. O. Balan, and M. J. Black, “HumanEva: Synchronized video and motion capture dataset and baseline algorithm for evaluation of articulated human motion,” IJCV , 2010
2010
Earlier work this paper cites.
L. Bo and C. Sminchisescu, “Twin Gaussian processes for structured prediction,” IJCV , 2010
2010
Earlier work this paper cites.
U. Iqbal and J. Gall, “Multi-person pose estimation with local joint-to-person associations,” in ECCV Workshops , 2016
2010
Earlier work this paper cites.
E. Simo-Serra, A. Ramisa, G. Alenyà, C. Torras, and F. Moreno-Noguer, “Single image 3D human pose estimation from noisy observations,” in CVPR , 2012
2012
Earlier work this paper cites.
V. Ramakrishna, T. Kanade, and Y. A. Sheikh, “Reconstructing 3D human pose from 2D image landmarks,” in ECCV , 2012
2012
Earlier work this paper cites.
E. Simo-Serra, A. Quattoni, C. Torras, and F. Moreno-Noguer, “A joint model for 2D and 3D pose estimation from a single image,” in CVPR , 2013
2013
Earlier work this paper cites.
C. Ionescu, D. Papava, V. Olaru, and C. Sminchisescu, “Human3.6M: Large scale datasets and predictive methods for 3D human sensing in natural environments,” IEEE Trans. PAMI , 2014
2014
Earlier work this paper cites.
S. Li and A. B. Chan, “3D human pose estimation from monocular images with deep convolutional neural network,” in ACCV , 2014
2014
Earlier work this paper cites.
A. Toshev and C. Szegedy, “DeepPose: Human pose estimation via deep neural networks,” in CVPR , 2014
2014
Earlier work this paper cites.
X. Chen and A. L. Yuille, “Articulated pose estimation by a graphical model with image dependent pairwise relations,” in NIPS , 2014
2014
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. Fan, K. Zheng, Y. Zhou, and S. Wang, “Pose locality constrained representation for 3D human pose reconstruction,” in ECCV , 2014
2014
Earlier work this paper cites.
C. Wang, Y. Wang, Z. Lin, A. L. Yuille, and W. Gao, “Robust estimation of 3D human poses from a single image,” in CVPR , 2014
2014
Earlier work this paper cites.
F. Zhou and F. D. la Torre, “Spatio-temporal matching for human detection in video,” in ECCV , 2014
2014
Earlier work this paper cites.
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
Earlier work this paper cites.
I. Kostrikov and J. Gall, “Depth sweep regression forests for estimating 3D human pose from images,” in BMVC , 2014
2014
Earlier work this paper cites.
T. Lin, M. Maire, S. J. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick, “Microsoft COCO: common objects in context,” in ECCV , 2014
2014
Earlier work this paper cites.
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
Earlier work this paper cites.
X. Fan, K. Zheng, Y. Lin, and S. Wang, “Combining local appearance and holistic view: Dual-source deep neural networks for human pose estimation,” in CVPR , 2015
2015
Cited alongside, same era.
I. Akhter and M. Black, “Pose-conditioned joint angle limits for 3D human pose reconstruction,” in CVPR , 2015
2015
Cited alongside, same era.
S. Li, W. Zhang, and A. B. Chan, “Maximum-margin structured learning with deep networks for 3D human pose estimation,” 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,” ACM Trans. Graphics , 2015
2015
Cited alongside, same era.
G. Rogez, P. Weinzaepfel, and C. Schmid, “LCR-Net: Localization-Classification-Regression for human pose,” in CVPR , 2017
2017
Later among the works it cites.
K. He, G. Gkioxari, P. Dollár, and R. Girshick, “Mask R-CNN,” 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.
C. Chen and D. Ramanan, “3D human pose estimation = 2D pose estimation + matching,” in CVPR , 2017
2017
Later among the works it cites.
F. Moreno-Noguer, “ 3D human pose estimation from a single image via distance matrix regression,” in CVPR , 2017
2017
Later among the works it cites.
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A. Bulat and G. Tzimiropoulos, “Human pose estimation via convolutional part heatmap regression,” in ECCV , 2016
2016
Cited alongside, same era.
A. Newell, K. Yang, and J. Deng, “Stacked hourglass networks for human pose estimation,” in ECCV , 2016
2016
Cited alongside, same era.
W. Chen, H. Wang, Y. Li, H. Su, Z. Wang, C. Tu, D. Lischinski, D. Cohen-Or, and B. Chen, “Synthesizing training images for boosting human 3D pose estimation,” in 3DV , 2016
2016
Cited alongside, same era.
G. Rogez and C. Schmid, “MoCap-guided data augmentation for 3D pose estimation in the wild,” in NIPS , 2016
2016
Cited alongside, same era.
S. Park, J. Hwang, and N. Kwak, “3D human pose estimation using convolutional neural networks with 2D pose information,” in ECCV Workshop , 2016
2016
Cited alongside, same era.
B. Tekin, A. Rozantsev, V. Lepetit, and P. Fua, “Direct prediction of 3D body poses from motion compensated sequences,” in CVPR , 2016
2016
Cited alongside, same era.
K. He, X. Zhang, S. Ren, and J. Sun, “Deep residual learning for image recognition,” in CVPR , 2016
2016
Cited alongside, same era.
B. Xiaohan Nie, P. Wei, and S.-C. Zhu, “Monocular 3D human pose estimation by predicting depth on joints,” in ICCV , 2017
2017
Later among the works it cites.
J. Martinez, R. Hossain, J. Romero, and J. J. Little, “A simple yet effective baseline for 3D human pose estimation,” in ICCV , 2017
2017
Later among the works it cites.
M. Lin, L. Lin, X. Liang, K. Wang, and H. Cheng, “Recurrent 3D pose sequence machines,” in CVPR , 2017
2017
Later among the works it cites.
G. Pavlakos, X. Zhou, K. G. Derpanis, and K. Daniilidis., “ Coarse-to-fine volumetric prediction for single-image 3D human pose,” in CVPR , 2017
2017
Later among the works it cites.
X. Sun, J. Shang, S. Liang, and Y. Wei, “Compositional human pose regression,” in ICCV , 2017
2017
Later among the works it cites.
B. Tekin, P. Marquez-Neila, M. Salzmann, and P. Fua, “Learning to fuse 2D and 3D image cues for monocular body pose estimation,” in ICCV , 2017
2017
Later among the works it cites.
D. Tome, C. Russell, and L. Agapito, “Lifting from the deep: Convolutional 3D pose estimation from a single image,” in CVPR , 2017
2017
Later among the works it cites.
D. Mehta, H. Rhodin, D. Casas, P. Fua, O. Sotnychenko, W. Xu, and C. Theobalt, “Monocular 3D human pose estimation in the wild using improved cnn supervision,” in 3DV , 2017
2017
Later among the works it cites.
X. Zhou, Q. Huang, X. Sun, X. Xue, and Y. Wei, “Towards 3D human pose estimation in the wild: A weakly-supervised approach,” in ICCV , 2017
2017
Later among the works it cites.
C. R. de Souza, A. Gaidon, Y. Cabon, and A. Lopez, “Procedural generation of videos to train deep action recognition networks,” in CVPR , 2017
2017
Later among the works it cites.
S. Huang and D. Ramanan, “Expecting the unexpected: Training detectors for unusual pedestrians with adversarial imposters,” in CVPR , 2017
2017
Later among the works it cites.
G. Varol, J. Romero, X. Martin, N. Mahmood, M. Black, I. Laptev, and C. Schmid, “ Learning From Synthetic Humans,” in CVPR , 2017
2017
Later among the works it cites.
C. Lassner, J. Romero, M. Kiefel, F. Bogo, M. J. Black, and P. V. Gehler, “Unite the people: Closing the loop between 3D and 2D human representations,” in CVPR , 2017
2017
Later among the works it cites.
S. Kinauer, R. Guler, S. Chandra, and I. Kokkinos, “Structured output prediction and learning for deep monocular 3D human pose estimation,” in EMMCVPR , 2017
2017
Later among the works it cites.
W. Yang, S. Li, W. Ouyang, H. Li, and X. Wang, “Learning feature pyramids for human pose estimation,” in ICCV , 2017
2017
Later among the works it cites.
X. Chu, W. Yang, W. Ouyang, C. Ma, A. L. Yuille, and X. Wang, “Multi-context attention for human pose estimation,” 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.
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.
G. Rogez and C. Schmid, “Image-based synthesis for deep 3D human pose estimation,” IJCV , vol. 126, no. 9, pp. 993–1008, 2018
2018
Closest in time.
D. Mehta, O. Sotnychenko, F. Mueller, W. Xu, S. Sridhar, G. Pons-Moll, and C. Theobalt, “Single-shot multi-person 3D pose estimation from monocular RGB,” in 3DV , sep 2018
2018
Closest in time.
I. Katircioglu, B. Tekin, M. Salzmann, V. Lepetit, and P. Fua, “Learning latent representations of 3D human pose with deep neural networks,” IJCV , 2018
2018
Closest in time.