Over the past few years, Convolutional Neural Networks (CNNs) have shown promise on facial expression recognition. However, the performance degrades dramatically under real …
Pain is an unpleasant feeling that has been shown to be an important factor for the recovery of patients. Since this is costly in human resources and difficult to do objectively, there is the …
The video-based facial expression recognition aims to classify a given video into several basic emotions. How to integrate facial features of individual frames is crucial for this task. In …
Current works of facial expression learning in video consume significant computational resources to learn spatial channel feature representations and temporal relationships. To …
CM Kuo, SH Lai, M Sarkis - Proceedings of the IEEE …, 2018 - openaccess.thecvf.com
In this paper, we propose a compact frame-based facial expression recognition framework for facial expression recognition which achieves very competitive performance with respect …
C Lu, J Tang, S Yan, Z Lin - Proceedings of the IEEE …, 2014 - openaccess.thecvf.com
As surrogate functions of L_0-norm, many nonconvex penalty functions have been proposed to enhance the sparse vector recovery. It is easy to extend these nonconvex penalty …
In this paper, we propose a novel end-to-end architecture termed Spatio-Temporal Convolutional features with Nested LSTM (STC-NLSTM), which learns the muti-level …
S Lee, DK Han, H Ko - IEEE access, 2021 - ieeexplore.ieee.org
Human communication includes rich emotional content, thus the development of multimodal emotion recognition plays an important role in communication between humans and …
Z Chen, R Ansari, D Wilkie - arXiv preprint arXiv:1811.07988, 2018 - arxiv.org
Facial pain expression is an important modality for assessing pain, especially when the patient's verbal ability to communicate is impaired. The facial muscle-based action units …