Occlusion-robust FAU recognition by mining latent space of masked autoencoders

Author:

Jiang MinyangORCID,Wang YongweiORCID,McKeown Martin J.ORCID,Wang Z. Jane

Funder

CIHR

NSERC

SSHRC

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference43 articles.

1. Facial action coding system: a technique for the measurement of facial movement;Ekman,1978

2. A comprehensive survey on automatic facial action unit analysis;Zhi;Vis. Comput.,2020

3. K. Zhao, W.-S. Chu, F. De la Torre, J.F. Cohn, H. Zhang, Joint patch and multi-label learning for facial action unit detection, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015, pp. 2207–2216.

4. Deep learning the dynamic appearance and shape of facial action units;Jaiswal,2016

5. Eac-net: A region-based deep enhancing and cropping approach for facial action unit detection;Li,2017

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