# Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/learning-hierarchical-invariant-spatio-temporal-features-for-action-recognition/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Quoc V. Le,Will Y. Zou,Serena Yeung,Andrew Y. Ng |
| Citations | 984 |
| DOI | 10.1109/cvpr.2011.5995496 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W1999192586 |
| Type | conference-paper |
| Year | 2011 |

## Paper authors

- [Serena Yeung](https://scholariq.org/researchers/serena-yeung/)

## Paper primary topic

- [Human Pose and Action Recognition](https://scholariq.org/topics/human-pose-and-action-recognition/)

## Paper topics

- [Human Pose and Action Recognition](https://scholariq.org/topics/human-pose-and-action-recognition/)
- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)
- [Video Surveillance and Tracking Methods](https://scholariq.org/topics/video-surveillance-and-tracking-methods/)

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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.