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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 11–20 of 74 papers

TitleStatusHype
Three-Stream Temporal-Shift Attention Network Based on Self-Knowledge Distillation for Micro-Expression RecognitionCode1
How to Synthesize a Large-Scale and Trainable Micro-Expression Dataset?Code1
Data Leakage and Evaluation Issues in Micro-Expression AnalysisCode1
Autonomous Apex Detection and Micro-Expression Recognition using Proposed Diagonal Planes—0
Advanced local motion patterns for macro and micro facial expression recognition—0
LEARNet Dynamic Imaging Network for Micro Expression Recognition—0
An Overview of Facial Micro-Expression Analysis: Data, Methodology and Challenge—0
Adaptive Temporal Motion Guided Graph Convolution Network for Micro-expression Recognition—0
A Boost in Revealing Subtle Facial Expressions: A Consolidated Eulerian Framework—0
Dynamic Stereotype Theory Induced Micro-expression Recognition with Oriented Deformation—0
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