Facial Expression Recognition Based on PCD-CNN with Pose and Expression
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Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-15-7981-3_38
Reference23 articles.
1. Jiao, Y., Niu, Y., Zhang, Y., Li, F., Zou, C., Shi, G.: Facial attention based convolutional neural network for 2D + 3D facial expression recognition. In: IEEE Visual Communications and Image Processing, pp. 1–4 (2019)
2. Sariyanidi, E., Gunes, H., Cavallaro, A.: Automatic analysis of facial affect: a survey of registration, representation, and recognition. IEEE Trans. Pattern Anal. Mach. Intell. 37(6), 1113–1133 (2015)
3. Zhang, F., Zhang, T., Mao, Q., Xu, C.: Joint pose and expression modeling for facial expression recognition. In: Conference on Computer Vision and Pattern Recognition, pp. 3359–3368 (2018)
4. Kumar, A., Chellappa, R.: Disentangling 3D pose in a dendritic CNN for unconstrained 2D face alignment. In: Conference on Computer Vision and Pattern Recognition, pp. 430–439 (2018)
5. Dong, J., Yuan, J., Li, L., Zhong, X., Liu, W.: An efficient semantic segmentation method using pyramid ShuffleNet V2 with vortex pooling. In: IEEE 31st International Conference on Tools with Artificial Intelligence, pp. 1214–1220 (2019)
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