Program
Monday 21 October 2019, Nice Acropolis Convention Center
Session 0 - AVEC'19 Workshop Opening
09:00 - 09:05 Welcome Word
Presented by the organisers
Session 1 - Keynote Talk
Session Chair: Fabien Ringeval
09:05 - 10:05 The Socio-Affective Robot: Aimed to Understand Human Links?
Presented by Véronique Aubergé (Laboratoire d'Informatique de Grenoble, CNRS)
Session 2 - AVEC'19 Challenge Introduction
Session Chair: Véronique Aubergé
10:05 - 10:30 AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect
Presented by the organisers
10:30 - 11:00 Coffee break
Session 3 - State-of-Mind Sub-challenge
Session Chair: Nicholas Cummins
11:00 - 11:20 A Multimodal Framework for State of Mind Assessment with Sentiment Pre-classification
Presented by Yan Li (Northwestern Polytechnical University, China)
Session 4 - Cross-cultural Emotion Sub-challenge
Session Chair: Dongmei Jiang
11:20 - 11:40 Efficient Spatial Temporal Convolutional Features for Audiovisual Continuous Affect Recognition
Presented by Haifeng Chen (NorthWestern Polytechnical University, China)
11:40 - 12:00 Predicting Depression and Emotions in the Cross-roads of Cultures, Para-linguistics, and Non-linguistics
Presented by Albert Ali Salah (Utrecht University, The Netherlands)
12:00 - 12:20 Adversarial Domain Adaptation for Multi-Cultural Dimensional Emotion Recognition in Dyadic Interactions
Presented by Shizhe Chen (Renmin University of China, China)
Slides
12:20 - 14:00 Lunch break
Session 5 - Detecting Depression with AI Sub-challenge
Session Chair: Mohammad Soleymani
14:00 - 14:20 Evaluating Acoustic and Linguistic Features of Detecting Depression Sub-Challenge Dataset
Presented by Larry Zhang (University of Washington, USA)
Slides
14:20 - 14:40 Multimodal Fusion of BERT-CNN and GCNN Representations for Depression Detection
Presented by Mariana Rodrigues Makiuc (Tokyo Institute of Technology, Japan)
14:40 - 15:00 Multi-modality Depression Detection via Multi-scale Temporal Dilated CNNs
Presented by Weiquan Fan (South China University of Technology, China)
15:00 - 15:20 A Multi-Modal Hierarchical Recurrent Neural Network for Depression Detection
Presented by Shangfei Wang (University of Science and Technology of China, China)
Slides
15:20 - 15:40 Multi-level Attention Network using Text, Audio and Video for Depression Prediction
Presented by Prerana Mukherjee (Indian Institute of Information Technology, India)
15:40 - 16:00 Coffee break
Session 6 - Challenge Results
16:00 - 16:20 AVEC'19 Challenge results
Presented by the organisers
(see the results webpage)