MHCanonNet: Multi-Hypothesis Canonical lifting Network for self-supervised 3D human pose estimation in the wild video
Author:
Funder
Korea University
IITP
Publisher
Elsevier BV
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software
Reference40 articles.
1. J. Martinez, R. Hossain, J. Romero, J.J. Little, A simple yet effective baseline for 3d human pose estimation, in: Proceedings of the IEEE International Conference on Computer Vision, ICCV, 2017.
2. JSL3d: Joint subspace learning with implicit structure supervision for 3D pose estimation;Jiang;Pattern Recognit.,2022
3. M.R.I. Hossain, J.J. Little, Exploiting temporal information for 3d human pose estimation, in: Proceedings of the European Conference on Computer Vision, ECCV, 2018.
4. Reconstruction of 3D human body pose from stereo image sequences based on top-down learning;Yang;Pattern Recognit.,2007
5. View-independent human action recognition with volume motion template on single stereo camera;Roh;Pattern Recognit. Lett.,2010
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