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