Group emotion recognition in the wild by combining deep neural networks for facial expression classification and scene-context analysis-Reference-Cited by-同舟云学术

Group emotion recognition in the wild by combining deep neural networks for facial expression classification and scene-context analysis

Published:2017-11-03 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 19th ACM International Conference on Multimodal Interaction
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Author:

Abbas Asad¹,Chalup Stephan K.¹

Affiliation:

1. University of Newcastle, Australia

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3136755.3143010

Reference38 articles.

1. The painful face – Pain expression recognition using active appearance models

2. Group Emotion: A View From Top and Bottom;Barsade Sigal G;Research on Managing Groups And Teams,1998

3. A deep look into group happiness prediction from images

4. Jeffrey F Cohn Tomas Simon Kruez Iain Matthews Ying Yang Minh Hoai Nguyen Margara Tejera Padilla Feng Zhou and Fernando De la Torre. 2009. Jeffrey F Cohn Tomas Simon Kruez Iain Matthews Ying Yang Minh Hoai Nguyen Margara Tejera Padilla Feng Zhou and Fernando De la Torre. 2009.

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