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20232026
most citedMMA-MRNNet: Harnessing Multiple Models of Affect and Dynamic Masked RNN for Precise Facial Expression Intensity Estimation

9 citations · 9 across the 3 of their papers we have counts for

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cs.CV2023★ 9 cited

MMA-MRNNet: Harnessing Multiple Models of Affect and Dynamic Masked RNN for Precise Facial Expression Intensity Estimation

Dimitrios Kollias, Andreas Psaroudakis, Anastasios Arsenos +4

This paper presents MMA-MRNNet, a novel deep learning architecture for dynamic multi-output Facial Expression Intensity Estimation (FEIE) from video data. Traditional approaches to…