Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Software
Reference74 articles.
1. Abu-El-Haija, S., Perozzi, B., Kapoor, A., Alipourfard, N., Lerman, K., Harutyunyan, H., Steeg, G. V., & Galstyan, A. (2019). Mixhop: Higher-order graph convolutional architectures via sparsified neighborhood mixing. In ICML.
2. Agarwal, A., & Triggs, B. (2006). Recovering 3D human pose from monocular images. TPAMI, 28(1), 44–58.
3. Bogo, F., Kanazawa, A., Lassner, C., Gehler, P. V., Romero, J., & Black, M. J. (2016). Keep it SMPL: Automatic estimation of 3D human pose and shape from a single image. In ECCV.
4. Cai, Y., Ge, L., Liu, J., Cai, J., Cham, T., Yuan, J., & Magnenat-Thalmann, N. (2019). Exploiting spatial-temporal relationships for 3d pose estimation via graph convolutional networks. In ICCV.
5. Chen, C., & Ramanan, D. (2017). 3D human pose estimation = 2D pose estimation + matching. In CVPR.
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