# Human Pose and Action Recognition

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/human-pose-and-action-recognition-2/

## Facts

| Field | Value |
| --- | --- |
| Citations | 1,018,935 |
| Description | This cluster of papers focuses on the development and application of deep learning techniques for human action recognition and pose estimation. It covers topics such as spatiotemporal feature learning, convolutional networks, 3D human pose estimation, skeleton-based recognition, and video classification. The research aims to advance the understanding and accurate detection of human actions in various environments. |
| Domain | Physical Sciences |
| Field | Computer Science |
| OpenAlex ID | https://openalex.org/T10812 |
| Works | 51,637 |

## Topic researchers

Showing 12 of 20.

- [Kaiming He](https://scholariq.org/researchers/kaiming-he/)
- [Yoshua Bengio](https://scholariq.org/researchers/yoshua-bengio/)
- [Geoffrey E. Hinton](https://scholariq.org/researchers/geoffrey-e-hinton/)
- [Ross Girshick](https://scholariq.org/researchers/ross-girshick/)
- [Xiangyu Zhang](https://scholariq.org/researchers/xiangyu-zhang/)
- [Jian Sun](https://scholariq.org/researchers/jian-sun-2/)
- [Andrew Zisserman](https://scholariq.org/researchers/andrew-zisserman/)
- [Xiaogang Wang](https://scholariq.org/researchers/xiaogang-wang/)
- [Yann LeCun](https://scholariq.org/researchers/yann-lecun/)
- [Li Fei-Fei](https://scholariq.org/researchers/li-fei-fei/)
- [Ilya Sutskever](https://scholariq.org/researchers/ilya-sutskever/)
- [Trevor Darrell](https://scholariq.org/researchers/trevor-darrell/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.