MEGC2023: ACM Multimedia 2023 ME Grand Challenge
Facial micro-expressions (MEs) are involuntary movements of the face that occur spontaneously when a person experiences an emotion but attempts to suppress […]
4DME: A Spontaneous 4D Micro-Expression Dataset With Multimodalities
Micro-expressions (ME) are a special form of facial expressions which may occur when people try to hide their true feelings for some […]
Rank-Pooling-Based Features on Localized Regions for Automatic Micro-Expression Recognition
Facial micro-expression is a subtle and involuntary facial expression that exhibits short duration and low intensity where hidden feelings can be disclosed. […]
Joint Local and Global Information Learning With Single Apex Frame Detection for Micro-Expression Recognition
Micro-expressions (MEs) are rapid and subtle facial movements that are difficult to detect and recognize. Most recent works have attempted to recognize […]
Micro-expression recognition with small sample size by transferring long-term convolutional neural network
Micro-expression is one of important clues for detecting lies. Its most outstanding characteristics include short duration and low intensity of movement. Therefore, […]
Can Micro-Expression be Recognized Based on Single Apex Frame?
Micro-expressions are rapid and subtle facial movements such that they are difficult to detect and recognize. Most of recent works have attempted […]
Towards Reading Hidden Emotions
Micro-expressions (MEs) are rapid, involuntary facial expressions which reveal emotions that people do not intend to show. Studying MEs is valuable as […]