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ORCIDAVEC@MM 2018: Seoul, Republic of Korea
- Fabien Ringeval, Björn W. Schuller, Michel F. Valstar, Roddy Cowie, Maja Pantic:
Proceedings of the 2018 on Audio/Visual Emotion Challenge and Workshop, AVEC@MM 2018, Seoul, Republic of Korea, October 22, 2018. ACM 2018, ISBN 978-1-4503-5983-2
Keynote
- Chi-Chun Lee:
Interpersonal Behavior Modeling for Personality, Affect, and Mental States Recognition and Analysis. 1-2
Introduction
- Fabien Ringeval, Björn W. Schuller
, Michel F. Valstar, Roddy Cowie, Heysem Kaya, Maximilian Schmitt, Shahin Amiriparian, Nicholas Cummins, Denis Lalanne, Adrien Michaud, Elvan Çiftçi, Hüseyin Güleç, Albert Ali Salah, Maja Pantic:
AVEC 2018 Workshop and Challenge: Bipolar Disorder and Cross-Cultural Affect Recognition. 3-13
Bipolar Disorder Sub-challenge
- Le Yang, Yan Li, Haifeng Chen, Dongmei Jiang, Meshia Cédric Oveneke, Hichem Sahli:
Bipolar Disorder Recognition with Histogram Features of Arousal and Body Gestures. 15-21 - Zhengyin Du, Weixin Li, Di Huang, Yunhong Wang:
Bipolar Disorder Recognition via Multi-scale Discriminative Audio Temporal Representation. 23-30 - Xiaofen Xing, Bolun Cai, Yinhu Zhao, Shuzhen Li, Zhiwei He, Weiquan Fan:
Multi-modality Hierarchical Recall based on GBDTs for Bipolar Disorder Classification. 31-37 - Zafi Sherhan Syed, Kirill A. Sidorov, A. David Marshall:
Automated Screening for Bipolar Disorder from Audio/Visual Modalities. 39-45
Cross-cultural Emotion Sub-challenge
- Kalani Wataraka Gamage, Ting Dang, Vidhyasaharan Sethu, Julien Epps, Eliathamby Ambikairajah:
Speech-based Continuous Emotion Prediction by Learning Perception Responses related to Salient Events: A Study based on Vocal Affect Bursts and Cross-Cultural Affect in AVEC 2018. 47-55 - Jian Huang, Ya Li, Jianhua Tao, Zheng Lian, Mingyue Niu, Minghao Yang:
Multimodal Continuous Emotion Recognition with Data Augmentation Using Recurrent Neural Networks. 57-64 - Jinming Zhao, Ruichen Li, Shizhe Chen, Qin Jin:
Multi-modal Multi-cultural Dimensional Continues Emotion Recognition in Dyadic Interactions. 65-72
Gold-standard Emotion Sub-challenge
- Chen Wang, Phil Lopes, Thierry Pun, Guillaume Chanel:
Towards a Better Gold Standard: Denoising and Modelling Continuous Emotion Annotations Based on Feature Agglomeration and Outlier Regularisation. 73-81 - Brandon M. Booth, Karel Mundnich, Shrikanth S. Narayanan:
Fusing Annotations with Majority Vote Triplet Embeddings. 83-89
Deep Learning for Affective Computing
- Jian Huang, Ya Li, Jianhua Tao, Zheng Lian, Mingyue Niu, Minghao Yang:
Deep Learning for Continuous Multiple Time Series Annotations. 91-98 - Chih-Chuan Lu, Jeng-Lin Li, Chi-Chun Lee:
Learning an Arousal-Valence Speech Front-End Network using Media Data In-the-Wild for Emotion Recognition. 99-105
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