Eighth Emotion Recognition in the Wild Challenge (EmotiW)
ACM International Conference on Multimodal Interaction 2020
Accepted papers
Advanced Multi-Instance Learning Method with Multi-features Engineering and Conservative Optimization for Engagement Intensity Prediction
Implicit Knowledge Injectable Cross Attention Audiovisual Model for Group Emotion Recognition
A Multi-Modal Approach for Driver Gaze Prediction to Remove Identity Bias
Towards Speech Emotion Recognition Utilising Pre-Trained Image CNNs
Multi-rate Attention Based GRU Model for Engagement Prediction
Fusical: Multimodal Fusion for Video Sentiment
X-AWARE: ConteXt-AWARE Human-Environment Attention Fusion for Driver Gaze Prediction in the Wild
Group Level Audio-Video Emotion Recognition Using Hybrid Networks
Group-Level Emotion Recognition using a unimodal privacy-safe non-individual approach
Recognizing Emotion in the Wild using Multimodal Data
Multi-modal Fusion Using Spatio-temporal and Static Features for Group Emotion Recognition
Extract the Gaze Multi-dimensional Information Analysis Driver Behavior
EmotiW 2020: Driver Gaze, Group Emotion, Student Engagement and Physiological Signal based Challenges