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7th AVEC @ ACM Multimedia 2017: Mountain View, CA
- Fabien Ringeval, Björn W. Schuller, Michel F. Valstar, Jonathan Gratch, Roddy Cowie, Maja Pantic:
Proceedings of the 7th Annual Workshop on Audio/Visual Emotion Challenge, Mountain View, CA, USA, October 23 - 27, 2017. ACM 2017, ISBN 978-1-4503-5502-5
Keynote
- Alessandro Vinciarelli:
Body Language Without a Body: Nonverbal Communication in Technology Mediated Settings. 1-2
Introduction
- Fabien Ringeval, Björn W. Schuller, Michel F. Valstar, Jonathan Gratch, Roddy Cowie, Stefan Scherer, Sharon Mozgai, Nicholas Cummins, Maximilian Schmitt, Maja Pantic:
AVEC 2017: Real-life Depression, and Affect Recognition Workshop and Challenge. 3-9
AVEC 2017 Part 1
- Jian Huang, Ya Li, Jianhua Tao, Zheng Lian, Zhengqi Wen, Minghao Yang, Jiangyan Yi:
Continuous Multimodal Emotion Prediction Based on Long Short Term Memory Recurrent Neural Network. 11-18 - Shizhe Chen, Qin Jin, Jinming Zhao, Shuai Wang:
Multimodal Multi-task Learning for Dimensional and Continuous Emotion Recognition. 19-26 - Ting Dang, Brian Stasak, Zhaocheng Huang, Sadari Jayawardena, Mia Atcheson, Munawar Hayat, Phu Ngoc Le, Vidhyasaharan Sethu, Roland Goecke, Julien Epps:
Investigating Word Affect Features and Fusion of Probabilistic Predictions Incorporating Uncertainty in AVEC 2017. 27-35
AVEC 2017 Part 2
- Zafi Sherhan Syed, Kirill A. Sidorov, A. David Marshall:
Depression Severity Prediction Based on Biomarkers of Psychomotor Retardation. 37-43 - Le Yang, Hichem Sahli, Xiaohan Xia, Ercheng Pei, Meshia Cédric Oveneke, Dongmei Jiang:
Hybrid Depression Classification and Estimation from Audio Video and Text Information. 45-51 - Le Yang, Dongmei Jiang, Xiaohan Xia, Ercheng Pei, Meshia Cédric Oveneke, Hichem Sahli:
Multimodal Measurement of Depression Using Deep Learning Models. 53-59 - Bo Sun, Yinghui Zhang, Jun He, Lejun Yu, Qihua Xu, Dongliang Li, Zhaoying Wang:
A Random Forest Regression Method With Selected-Text Feature For Depression Assessment. 61-68 - Yuan Gong, Christian Poellabauer:
Topic Modeling Based Multi-modal Depression Detection. 69-76
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