# Every Moment Counts: Dense Detailed Labeling of Actions in Complex Videos

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/every-moment-counts-dense-detailed-labeling-of-actions-in-complex-videos/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Serena Yeung,Olga Russakovsky,Ning Jin,Mykhaylo Andriluka,Greg Mori,Li Fei-Fei |
| Citations | 368 |
| DOI | 10.1007/s11263-017-1013-y |
| Fields | Computer Science |
| Open Access | true |
| OA Status | green |
| OA URL | https://hdl.handle.net/11858/00-001M-0000-002A-0AA2-0 |
| OpenAlex ID | https://openalex.org/W2292288263 |
| Type | article |
| Year | 2017 |

## Paper authors

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

## 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/)
- [Multimodal Machine Learning Applications](https://scholariq.org/topics/multimodal-machine-learning-applications/)

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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.