# FERV39k: A Large-Scale Multi-Scene Dataset for Facial Expression Recognition in Videos

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/ferv39k-a-large-scale-multi-scene-dataset-for-facial-expression-recognition-in/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yan Wang,Yixuan Sun,Yi‐Wen Huang,Zhongying Liu,Shuyong Gao,Wei Zhang,Weifeng Ge,Wenqiang Zhang |
| Citations | 114 |
| DOI | 10.1109/cvpr52688.2022.02025 |
| Fields | Computer Science,Psychology |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4225568094 |
| Type | conference-paper |
| Year | 2022 |

## Paper authors

- [Yi‐Wen Huang](https://scholariq.org/researchers/yi-wen-huang/)

## Paper primary topic

- [Emotion and Mood Recognition](https://scholariq.org/topics/emotion-and-mood-recognition/)

## Paper topics

- [Emotion and Mood Recognition](https://scholariq.org/topics/emotion-and-mood-recognition/)
- [Human Pose and Action Recognition](https://scholariq.org/topics/human-pose-and-action-recognition/)
- [Face recognition and analysis](https://scholariq.org/topics/face-recognition-and-analysis/)

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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.