Export Citations
Save this search
Please login to be able to save your searches and receive alerts for new content matching your search criteria.
- research-articleOctober 2024
APP: Adaptive Pose Pooling for 3D Human Pose Estimation from Videos
MM '24: Proceedings of the 32nd ACM International Conference on MultimediaPages 1672–1681https://doi.org/10.1145/3664647.3680880Current advancements in 3D human pose estimation have attained notable success by converting 2D poses into their 3D counterparts. However, this approach is inherently influenced by the errors introduced by 2D pose detectors and overlooks the intrinsic ...
- research-articleJune 2024
Monocular Expressive 3D Human Reconstruction of Multiple People
ICMR '24: Proceedings of the 2024 International Conference on Multimedia RetrievalPages 423–432https://doi.org/10.1145/3652583.3658092Whole-body pose estimation aims to regress human pose models that include the body, hand, and facial details from RGB images. While the task of whole-body mesh recovery has been extensively studied in recent literature, the focus has predominantly been ...
- research-articleOctober 2021
Multi-initialization Optimization Network for Accurate 3D Human Pose and Shape Estimation
- Zhiwei Liu,
- Xiangyu Zhu,
- Lu Yang,
- Xiang Yan,
- Ming Tang,
- Zhen Lei,
- Guibo Zhu,
- Xuetao Feng,
- Yan Wang,
- Jinqiao Wang
MM '21: Proceedings of the 29th ACM International Conference on MultimediaPages 1976–1984https://doi.org/10.1145/3474085.34753553D human pose and shape recovery from a monocular RGB image is a challenging task. Existing learning based methods highly depend on weak supervision signals, e.g. 2D and 3D joint location, due to the lack of in-the-wild paired 3D supervision. However, ...
