Funder
National Natural Science Foundation of China
Subject
Computer Vision and Pattern Recognition,Signal Processing,Software
Reference49 articles.
1. Arnab, A., Doersch, C., Zisserman, A., 2019. Exploiting temporal context for 3d human pose estimation in the wild. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 3395–3404.
2. Keep it smpl: Automatic estimation of 3d human pose and shape from a single image;Bogo,2016
3. Self-attentive 3d human pose and shape estimation from videos;Chen;Comput. Vis. Image Underst.,2021
4. Monocular human pose estimation: A survey of deep learning-based methods;Chen;Comput. Vis. Image Underst.,2020
5. Single image 3d human pose estimation using a procrustean normal distribution mixture model and model transformation;Cho;Comput. Vis. Image Underst.,2017
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献