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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 31–40 of 74 papers

TitleStatusHype
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
A Multi-stream Convolutional Neural Network for Micro-expression Recognition Using Optical Flow and EVM—0
An Empirical Study of Super-resolution on Low-resolution Micro-expression Recognition—0
An Overview of Facial Micro-Expression Analysis: Data, Methodology and Challenge—0
Autonomous Apex Detection and Micro-Expression Recognition using Proposed Diagonal Planes—0
Catching Elusive Depression via Facial Micro-Expression Recognition—0
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