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Human affective recognition is an important factor in human-computer interaction.
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Tadas Baltrusaitis ; Amir Zadeh ; Yao Chong Lim ; Louis-Philippe Morency, ”OpenFace 2.0: Facial Behavior Analysis Toolkit”, IEEE International Conference on Automatic Face and Gesture Recognition
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Jianming Wu, Zhiguang Zhou, Yanan Wang, Yi Li, Xin Xu and Yusuke Uchida, ”Multi-feature and Multi-instance Learning with Anti-overfitting Strategy for Engagement Intensity Prediction”, International Conference on Multimodal Interaction
2019
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2019
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Kai Wang, Jianfei Yang, Da Guo, Kaipeng Zhang, Xiaojiang Peng and Yu Qiao, ”Bootstrap Model Ensemble and Rank Loss for Engagement Intensity Regression”, International Conference on Multimodal Interaction
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Mingxing Tan and Quoc V. Le, ”EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks”, International Conference on Machine Learning
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Jianfei Yang, Kai Wang, Xiaojiang Peng and Yu Qiao, ”Deep Recurrent Multi-instance Learning with Spatio-temporal Features for Engagement Intensity Prediction”, International Conference on Multimodal Interaction
2018
Cited alongside, same era.
2019
Cited alongside, same era.
Van Thong Huynh, Soo-Hyung Kim, Guee-Sang Lee and Hyung-Jeong Yang, ”Engagement Intensity Prediction withFacial Behavior Features”, International Conference on Multimodal Interaction
2019
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Wei-Yi Chang, Shih-Huan Hsu, Jen-Hsien Chien, ”FATAUVA-Net: An Integrated Deep Learning Framework for Facial Attribute Recognition, Action Unit Detection, and Valence-Arousal Estimation”, IEEE Conference on Computer Vision and Pattern Recognition Workshops
2020
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