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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 21–30 of 74 papers

TitleStatusHype
Efficient Neural Architecture Search for Emotion Recognition—0
Dynamic Stereotype Theory Induced Micro-expression Recognition with Oriented Deformation—0
An Empirical Study of Super-resolution on Low-resolution Micro-expression Recognition—0
Deep Learning for Micro-expression Recognition: A Survey—0
Extended Local Binary Patterns for Efficient and Robust Spontaneous Facial Micro-Expression Recognition—0
Feature refinement: An expression-specific feature learning and fusion method for micro-expression recognition—0
Feature Representation Learning with Adaptive Displacement Generation and Transformer Fusion for Micro-Expression Recognition—0
FG 2025 TrustFAA: the First Workshop on Towards Trustworthy Facial Affect Analysis: Advancing Insights of Fairness, Explainability, and Safety (TrustFAA)—0
From Macro to Micro: Boosting micro-expression recognition via pre-training on macro-expression videos—0
A Multi-stream Convolutional Neural Network for Micro-expression Recognition Using Optical Flow and EVM—0
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