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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
Non-Linearities Improve OrigiNet based on Active Imaging for Micro Expression Recognition—0
Mean Oriented Riesz Features for Micro Expression Classification—0
ICE-GAN: Identity-aware and Capsule-Enhanced GAN with Graph-based Reasoning for Micro-Expression Recognition and SynthesisCode1
MER-GCN: Micro Expression Recognition Based on Relation Modeling with Graph Convolutional Network—0
Autonomous Apex Detection and Micro-Expression Recognition using Proposed Diagonal Planes—0
Dual-stream shallow networks for facial micro-expression recognitionCode0
Sparse Coding of Shape Trajectories for Facial Expression and Action Recognition—0
Extended Local Binary Patterns for Efficient and Robust Spontaneous Facial Micro-Expression Recognition—0
LEARNet Dynamic Imaging Network for Micro Expression Recognition—0
A Novel Apex-Time Network for Cross-Dataset Micro-Expression RecognitionCode0
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