# Feature-Level and Model-Level Audiovisual Fusion for Emotion Recognition in the Wild

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/feature-level-and-model-level-audiovisual-fusion-for-emotion-recognition-in-the/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Jie Cai,Zibo Meng,Ahmed Shehab Khan,Zhiyuan Li,James O’Reilly,Shizhong Han,Ping Liu,Min Chen,Yan Tong |
| Citations | 35 |
| DOI | 10.1109/mipr.2019.00089 |
| Fields | Computer Science,Psychology |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2962749013 |
| Type | conference-paper |
| Year | 2019 |

## Paper authors

- [Ahmed Shehab Khan](https://scholariq.org/researchers/ahmed-shehab-khan/)

## Paper journal

- [2019 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR)](https://scholariq.org/journals/2019-ieee-conference-on-multimedia-information-processing-and-retrieval-mipr/)

## 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/)
- [Speech and Audio Processing](https://scholariq.org/topics/speech-and-audio-processing/)
- [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.