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Micro-Expression Spotting

Facial Micro-Expression Spotting is a challenging task in identifying onset, apex and/or offset over a short or long micro-expression sequence.

Papers

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Showing 1–16 of 16 papers

TitleStatusHype
AU-aware graph convolutional network for Macro- and Micro-expression spottingCode1
Shallow Optical Flow Three-Stream CNN for Macro- and Micro-Expression Spotting from Long VideosCode1
Spotting Macro- and Micro-expression Intervals in Long Video SequencesCode1
PESFormer: Boosting Macro- and Micro-expression Spotting with Direct Timestamp Encoding—0
SpotFormer: Multi-Scale Spatio-Temporal Transformer for Facial Expression Spotting—0
Multi-Scale Spatio-Temporal Graph Convolutional Network for Facial Expression Spotting—0
RMES: Real-Time Micro-Expression Spotting Using Phase From Riesz PyramidCode0
3D-CNN for Facial Micro- and Macro-expression Spotting on Long Video Sequences using Temporal Oriented Reference Frame—0
An Overview of Facial Micro-Expression Analysis: Data, Methodology and Challenge—0
Micro-expression spotting: A new benchmark—0
Micro-expression detection in long videos using optical flow and recurrent neural networks—0
ADS-ME: Anomaly Detection System for Micro-expression Spotting—0
Facial Micro-Expression Spotting and Recognition using Time Contrasted Feature with Visual Memory—0
Spotting Micro-Expressions on Long Videos Sequences—0
Micro-Expression Spotting: A Benchmark—0
Towards Reading Hidden Emotions: A comparative Study of Spontaneous Micro-expression Spotting and Recognition Methods—0
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