# AIM: Adapting Image Models for Efficient Video Action Recognition

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/aim-adapting-image-models-for-efficient-video-action-recognition/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Taojiannan Yang,Yi Zhu,Yusheng Xie,Aston Zhang,Chen Chen,Mu Li |
| Citations | 62 |
| DOI | 10.48550/arxiv.2302.03024 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | green |
| OA URL | https://arxiv.org/pdf/2302.03024 |
| OpenAlex ID | https://openalex.org/W4319453767 |
| Type | preprint |
| Year | 2023 |

## Paper authors

- [Yusheng Xie](https://scholariq.org/researchers/yusheng-xie/)

## Paper journal

- [arXiv (Cornell University)](https://scholariq.org/journals/arxiv-cornell-university/)

## 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/)
- [Multimodal Machine Learning Applications](https://scholariq.org/topics/multimodal-machine-learning-applications/)
- [Diabetic Foot Ulcer Assessment and Management](https://scholariq.org/topics/diabetic-foot-ulcer-assessment-and-management/)

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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.