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Facial micro-expressions (MEs) are involuntary spontaneous movements of the face that typically appear in high-stakes situations where a person attempts to conceal a certain emotion from being known. A decade after the inception of the widely used CASME ...

Facial micro-expressions (MEs) are involuntary movements of the face that occur spontaneously when a person experiences an emotion but attempts to suppress or repress the facial expression, typically found in a high-stakes environment. Unfortunately, the ...

Micro-expressions are brief, subtle, involuntary facial gestures revealing genuine mental activity, with numerous real-world applications. Owing to their transient nature, low intensity, and capture difficulty, many existing recognition algorithms based ...

This paper considers the challenge of spotting facial macro- and micro-expression from long videos. We propose the multi-temporal stream network (MTSN) model that takes two distinct inputs by considering the different temporal information in the facial ...

Micro-expressions are facial movements that are extremely short and not easily detected, which often reflect the genuine emotions of individuals. Micro-expressions are important cues for understanding real human emotions and can be used for non-contact ...

Facial micro-expressions (MEs) are involuntary movements of the face that occur spontaneously when a person experiences an emotion but attempts to suppress or repress the facial expression, typically found in a high-stakes environment. Unfortunately, ...

Facial expression spotting is the preliminary step for micro- and macro-expression analysis. The task of reliably spotting such expressions in video sequences is currently unsolved. Current best systems depend upon optical flow methods to extract ...

Facial micro-expressions (FMEs) are involuntary facial movements that occur spontaneously when a person experiences an emotion but tries to suppress or repress the facial expression and usually occur in high-risk situations. Thus, FMEs are very short in ...

This paper presents a novel approach to detect Arabic OOV names from OCR'ed handwritten documents. In our approach, OOV names are searched for using approximate string match on character consensus networks (cnets). The retrieved regions are re-ranked ...

Reference-interval-free continuous DP (RIFCDP) and the closely related weighted-reduction RIFCDP are techniques that have been proposed as ways to assign labels, analyze content, and search time-series data, such as audio and video. These work by ...