Micro-Expression Recognition
15 papers with code • 1 benchmarks • 1 datasets
Facial Micro-Expression Recognition is a challenging task in identifying suppressed emotion in a high-stake environment, often comes in very brief duration and subtle changes.
CASME II
Latest papers
A Novel Apex-Time Network for Cross-Dataset Micro-Expression Recognition
Mvrjustid/ACII19-Apex-Time-Network
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As researchers working on such topics are moving to learn from the nature of micro-expression, the practice of using deep learning techniques has evolved from processing the entire video clip of micro-expression to the recognition on apex frame.
Spontaneous Facial Micro-Expression Recognition using 3D Spatiotemporal Convolutional Neural Networks
This paper proposes two 3D-CNN methods: MicroExpSTCNN and MicroExpFuseNet, for spontaneous facial micro-expression recognition by exploiting the spatiotemporal information in CNN framework.
Shallow Triple Stream Three-dimensional CNN (STSTNet) for Micro-expression Recognition
In the recent year, state-of-the-art for facial micro-expression recognition have been significantly advanced by deep neural networks.
Micro-Attention for Micro-Expression recognition
The existence of micro expression in small-local areas on face and limited size of available databases still constrain the recognition accuracy on such emotional facial behavior.
Enriched Long-term Recurrent Convolutional Network for Facial Micro-Expression Recognition
IcedDoggie/Micro-Expression-with-Deep-Learning
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Facial micro-expression (ME) recognition has posed a huge challenge to researchers for its subtlety in motion and limited databases.
