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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 41–50 of 74 papers

TitleStatusHype
Cross-Database Micro-Expression Recognition: A Benchmark—0
Self-Supervised Approach for Facial Movement Based Optical Flow—0
Short and Long Range Relation Based Spatio-Temporal Transformer for Micro-Expression Recognition—0
SMA-STN: Segmented Movement-Attending Spatiotemporal Network forMicro-Expression Recognition—0
Sparse Coding of Shape Trajectories for Facial Expression and Action Recognition—0
Spatiotemporal Recurrent Convolutional Networks for Recognizing Spontaneous Micro-expressions—0
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
MERANet: Facial Micro-Expression Recognition using 3D Residual Attention Network—0
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