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Recently, most of the state-of-the-art human pose estimation methods are based on heatmap regression.
Yang, Y., Ramanan, D.: Articulated human detection with flexible mixtures of parts. IEEE transactions on pattern analysis and machine intelligence 35
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Cho, N.G., Yuille, A.L., Lee, S.W.: Adaptive occlusion state estimation for human pose tracking under self-occlusions. Pattern Recognition 46
2013
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Pishchulin, L., Andriluka, M., Gehler, P., Schiele, B.: Poselet conditioned pictorial structures. In: CVPR (2013)
2013
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Wang, C., Wang, Y., Yuille, A.L.: An approach to pose-based action recognition. In: CVPR (2013)
2013
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Andriluka, M., Pishchulin, L., Gehler, P., Schiele, B.: 2d human pose estimation: New benchmark and state of the art analysis. In: CVPR (2014)
2014
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Chen, X., Yuille, A.L.: Articulated pose estimation by a graphical model with image dependent pairwise relations. In: NeurIPS (2014)
2014
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Liang, Z., Wang, X., Huang, R., Lin, L.: An expressive deep model for human action parsing from a single image. In: ICME. IEEE (2014)
2014
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Lin, T.Y., Maire, M., Belongie, S., Hays, J., Perona, P., Ramanan, D., Dollár, P., Zitnick, C.L.: Microsoft coco: Common objects in context. In: ECCV (2014)
2014
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Tompson, J.J., Jain, A., LeCun, Y., Bregler, C.: Joint training of a convolutional network and a graphical model for human pose estimation. In: NeurIPS (2014)
2014
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Toshev, A., Szegedy, C.: Deeppose: Human pose estimation via deep neural networks. In: CVPR (2014)
2014
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Belagiannis, V., Rupprecht, C., Carneiro, G., Navab, N.: Robust optimization for deep regression. In: Proceedings of the IEEE international conference on computer vision. pp. 2830–2838 (2015)
2015
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Fan, X., Zheng, K., Lin, Y., Wang, S.: Combining local appearance and holistic view: Dual-source deep neural networks for human pose estimation. In: CVPR (2015)
2015
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Xiaohan Nie, B., Xiong, C., Zhu, S.C.: Joint action recognition and pose estimation from video. In: CVPR (2015)
2015
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Bulat, A., Tzimiropoulos, G.: Human pose estimation via convolutional part heatmap regression. In: European Conference on Computer Vision. pp. 717–732. Springer (2016)
2016
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Carreira, J., Agrawal, P., Fragkiadaki, K., Malik, J.: Human pose estimation with iterative error feedback. In: CVPR (2016)
2016
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Chu, X., Ouyang, W., Li, H., Wang, X.: Structured feature learning for pose estimation. In: CVPR (2016)
2016
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Gkioxari, G., Toshev, A., Jaitly, N.: Chained predictions using convolutional neural networks. In: ECCV (2016)
2016
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Lifshitz, I., Fetaya, E., Ullman, S.: Human pose estimation using deep consensus voting. In: ECCV (2016)
2016
Cited alongside, same era.
Newell, A., Yang, K., Deng, J.: Stacked hourglass networks for human pose estimation. In: ECCV (2016)
2016
Cited alongside, same era.
Wei, S.E., Ramakrishna, V., Kanade, T., Sheikh, Y.: Convolutional pose machines. In: CVPR (2016)
2016
Cited alongside, same era.
Xiao, Ouyang, W., Wang, X., et al.: Crf-cnn: Modeling structured information in human pose estimation. In: NeurIPS (2016)
2016
Cited alongside, same era.
Yang, W., Ouyang, W., Li, H., Wang, X.: End-to-end learning of deformable mixture of parts and deep convolutional neural networks for human pose estimation. In: CVPR (2016)
2016
Cited alongside, same era.
Chen, Y., Wang, Z., Peng, Y., Zhang, Z., Yu, G., Sun, J.: Cascaded pyramid network for multi-person pose estimation. In: CVPR (2018)
2018
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Fieraru, M., Khoreva, A., Pishchulin, L., Schiele, B.: Learning to refine human pose estimation. In: CVPR (2018)
2018
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Ke, L., Chang, M.C., Qi, H., Lyu, S.: Multi-scale for human pose estimation. In: ECCV (2018)
2018
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Liu, W., Chen, J., Li, C., Qian, C., Chu, X., Hu, X.: A cascaded inception of inception network with attention modulated feature fusion for human pose estimation. In: AAAI (2018)
2018
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Sun, X., Xiao, B., Wei, F., Liang, S., Wei, Y.: Integral human pose regression. In: ECCV (September 2018)
2018
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Belagiannis, V., Zisserman, A.: Recurrent human pose estimation. In: FG (2017)
2017
Cited alongside, same era.
Cao, Z., Simon, T., Wei, S.E., Sheikh, Y.: Realtime multi-person 2d pose estimation using part affinity fields. In: CVPR (2017)
2017
Cited alongside, same era.
Chen, Y., Shen, C., Wei, X.S., Liu, L., Yang, J.: Adversarial posenet: A structure-aware convolutional network for human pose estimation. In: ICCV (2017)
2017
Cited alongside, same era.
Chu, X., Yang, W., Ouyang, W., Ma, C., Yuille, A.L., Wang, X.: Multi-context attention for human pose estimation. In: CVPR (2017)
2017
Cited alongside, same era.
Fang, H.S., Xie, S., Tai, Y.W., Lu, C.: Rmpe: Regional multi-person pose estimation. In: ICCV (2017)
2017
Cited alongside, same era.
He, K., Gkioxari, G., Dollár, P., Girshick, R.: Mask r-cnn. In: ICCV (2017)
2017
Cited alongside, same era.
Huang, S., Gong, M., Tao, D.: A coarse-fine network for keypoint localization. In: ICCV (2017)
2017
Cited alongside, same era.
Tang, W., Yu, P., Wu, Y.: Deeply learned compositional models for human pose estimation. In: ECCV (2018)
2018
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Xiao, B., Wu, H., Wei, Y.: Simple baselines for human pose estimation and tracking. In: ECCV (2018)
2018
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Yan, S., Xiong, Y., Lin, D.: Spatial temporal graph convolutional networks for skeleton-based action recognition. In: AAAI (2018)
2018
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2019
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2019
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Moon, G., Chang, J.Y., Lee, K.M.: Posefix: Model-agnostic general human pose refinement network. In: CVPR (2019)
2019
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Su, K., Yu, D., Xu, Z., Geng, X., Wang, C.: Multi-person pose estimation with enhanced channel-wise and spatial information. In: CVPR (2019)
2019
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Sun, K., Xiao, B., Liu, D., Wang, J.: Deep high-resolution representation learning for human pose estimation. In: CVPR (2019)
2019
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2019
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2019
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