A Deep Network for Arousal-Valence Emotion Prediction with Acoustic-Visual Cues
arXiv:1805.00638
Abstract
In this paper, we comprehensively describe the methodology of our submissions to the One-Minute Gradual-Emotion Behavior Challenge 2018.
References in corpus (2)
Cited by in corpus (7)
- PersEmoN: A Deep Network for Joint Analysis of Apparent Personality, Emotion and Their Relationship
- MIMAMO Net: Integrating Micro- and Macro-motion for Video Emotion Recognition
- A Deep Neural Model Of Emotion Appraisal
- Learning from Label Relationships in Human Affect
- A Personalized Affective Memory Neural Model for Improving Emotion Recognition
- Facial Expression Editing with Continuous Emotion Labels
- A Multimodal LSTM for Predicting Listener Empathic Responses Over Time