An End-to-End Visual-Audio Attention Network for Emotion Recognition in User-Generated Videos.
Sicheng ZhaoYunsheng MaYang GuJufeng YangTengfei XingPengfei XuRunbo HuHua ChaiKurt KeutzerPublished in: AAAI (2020)
Keyphrases
- end to end
- user generated
- emotion recognition
- sentiment analysis
- congestion control
- audio visual
- visual information
- visual data
- human computer interaction
- web content
- social media
- video sharing
- user generated content
- user interests
- visual features
- facial expressions
- computer networks
- facial images
- information fusion
- text classification
- video sequences
- artificial intelligence
- natural language processing
- emotional state
- knn