EmotiW 2020: Driver Gaze, Group Emotion, Student Engagement and Physiological Signal based Challenges-Reference-Cited by-同舟云学术

EmotiW 2020: Driver Gaze, Group Emotion, Student Engagement and Physiological Signal based Challenges

Published:2020-10-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2020 International Conference on Multimodal Interaction
language:
Short-container-title:

Author:

Dhall Abhinav¹,Sharma Garima²,Goecke Roland³,Gedeon Tom⁴

Affiliation:

1. Monash University & Indian Institute of Technology Ropar, Caulfield East, Australia

2. Monash University, Caulfield East, Australia

3. University of Canberra, Belconnen, Australia

4. Australian National University, Canberra, Australia

Funder

Australian Research Council

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3382507.3417973

Reference24 articles.

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

2. Nadia Berthouze Michel Valstar Amanda Williams Joy Egede Temitayo Olugbade Chongyang Wang Hongyin Meng Min Aung Nicholas Lane and Siyang Song. 2020. Emopain challenge 2020: Multimodal pain evaluation from facial and bodily expressions. arXiv preprint arXiv:2001.07739 (2020). Nadia Berthouze Michel Valstar Amanda Williams Joy Egede Temitayo Olugbade Chongyang Wang Hongyin Meng Min Aung Nicholas Lane and Siyang Song. 2020. Emopain challenge 2020: Multimodal pain evaluation from facial and bodily expressions. arXiv preprint arXiv:2001.07739 (2020).

3. Abhinav Dhall Roland Goecke and Tom Gedeon. 2015a. Automatic group happiness intensity analysis. IEEE Transactions on Affective Computing (2015) 13--26. Abhinav Dhall Roland Goecke and Tom Gedeon. 2015a. Automatic group happiness intensity analysis. IEEE Transactions on Affective Computing (2015) 13--26.

4. Emotion recognition in the wild challenge 2013

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