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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
OFF-ApexNet on Micro-expression Recognition System—0
Prior Information based Decomposition and Reconstruction Learning for Micro-Expression Recognition—0
Region attention and graph embedding network for occlusion objective class-based micro-expression recognition—0
Revealing the Invisible with Model and Data Shrinking for Composite-database Micro-expression Recognition—0
SelfME: Self-Supervised Motion Learning for Micro-Expression Recognition—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
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