# Unsupervised Learning of Long-Term Motion Dynamics for Videos

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/unsupervised-learning-of-long-term-motion-dynamics-for-videos/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Zelun Luo,Boya Peng,De-An Huang,Alexandre Alahi,Li Fei-Fei |
| Citations | 187 |
| DOI | 10.1109/cvpr.2017.751 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | green |
| OA URL | http://infoscience.epfl.ch/record/230240 |
| OpenAlex ID | https://openalex.org/W2578257192 |
| Type | conference-paper |
| Year | 2017 |

## Paper authors

- [De-An Huang](https://scholariq.org/researchers/de-an-huang/)
- [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/)
- [Advanced Vision and Imaging](https://scholariq.org/topics/advanced-vision-and-imaging/)

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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.