18th October

09.00-09.15 EmotiW 2019: Automatic Emotion, Engagement and Cohesion Prediction Tasks

09.15-09.30 Bootstrap Model Ensemble and Rank Loss for Engagement Intensity Regression

09.30-09.45 Exploring Regularizations with Face, Body and Image Cues for Group Cohesion Prediction

09.45-10.00 Exploring Emotion Features and Fusion Strategies for Audio-Video Emotion Recognition

10.00-10.30 Coffee break

10.30-10.45 Engagement Intensity Prediction with Facial Behavior Features

10.45-11.00 Group-level Cohesion Prediction using Deep Learning Models with A Multi-stream Hybrid Network

11.00-11.15 Automatic Group Cohesiveness Detection with Multi-modal Features

11.15-11.30 Multi-feature and Multi-instance Learning with Anti-overfitting Strategy for Engagement Intensity Prediction

11.30-11.45 Bi-modality Fusion for Emotion Recognition in the Wild

11.45-12.00 Multi-Attention Fusion Network for Video-based Emotion Recognition

12.00-12.15 Results and Conclusion