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Micro-Expression Recognition

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.

Papers

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Showing 51–60 of 74 papers

TitleStatusHype
Spontaneous Facial Micro-Expression Recognition using Discriminative Spatiotemporal Local Binary Pattern with an Improved Integral Projection—0
Temporal and Spatial Feature Fusion Framework for Dynamic Micro Expression Recognition—0
LEARNet Dynamic Imaging Network for Micro Expression Recognition—0
Transferring Dual Stochastic Graph Convolutional Network for Facial Micro-expression Recognition—0
A Boost in Revealing Subtle Facial Expressions: A Consolidated Eulerian Framework—0
A comparative study on movement feature in different directions for micro-expression recognition—0
Adaptive Temporal Motion Guided Graph Convolution Network for Micro-expression Recognition—0
Advanced local motion patterns for macro and micro facial expression recognition—0
AHMSA-Net: Adaptive Hierarchical Multi-Scale Attention Network for Micro-Expression Recognition—0
AMMSM: Adaptive Motion Magnification and Sparse Mamba for Micro-Expression Recognition—0
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