Micro-Expression Spotting
4 papers with code • 0 benchmarks • 1 datasets
Facial Micro-Expression Spotting is a challenging task in identifying onset, apex and/or offset over a short or long micro-expression sequence.
Benchmarks
These leaderboards are used to track progress in Micro-Expression Spotting
SAMM Long Videos
Latest papers with no code
Multi-Scale Spatio-Temporal Graph Convolutional Network for Facial Expression Spotting
In this paper, we propose a Multi-Scale Spatio-Temporal Graph Convolutional Network (SpoT-GCN) for facial expression spotting.
3D-CNN for Facial Micro- and Macro-expression Spotting on Long Video Sequences using Temporal Oriented Reference Frame
Facial expression spotting is the preliminary step for micro- and macro-expression analysis.
An Overview of Facial Micro-Expression Analysis: Data, Methodology and Challenge
Facial micro-expressions indicate brief and subtle facial movements that appear during emotional communication.
Micro-expression spotting: A new benchmark
Micro-expressions (MEs) are brief and involuntary facial expressions that occur when people are trying to hide their true feelings or conceal their emotions.
Micro-expression detection in long videos using optical flow and recurrent neural networks
This paper presents a novel micro-expression spotting method using a recurrent neural network (RNN) on optical flow features.
ADS-ME: Anomaly Detection System for Micro-expression Spotting
This paper propose an algorithm for spatiotemporal MEs spotting.
Facial Micro-Expression Spotting and Recognition using Time Contrasted Feature with Visual Memory
Facial micro-expressions are sudden involuntary minute muscle movements which reveal true emotions that people try to conceal.
Spotting Micro-Expressions on Long Videos Sequences
This paper presents baseline results for the first Micro-Expression Spotting Challenge 2019 by evaluating local temporal pattern (LTP) on SAMM and CAS(ME)2.
Micro-Expression Spotting: A Benchmark
Micro-expressions are rapid and involuntary facial expressions, which indicate the suppressed or concealed emotions.
Towards Reading Hidden Emotions: A comparative Study of Spontaneous Micro-expression Spotting and Recognition Methods
For ME recognition, the performance of previous studies is low.
