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20132018
most citedA Survey of Automatic Facial Micro-expression Analysis: Databases, Methods and Challenges

171 citations · 327 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2018★ 171 cited

A Survey of Automatic Facial Micro-expression Analysis: Databases, Methods and Challenges

Yee-Hui Oh, John See, Anh Cat Le Ngo +2

Over the last few years, automatic facial micro-expression analysis has garnered increasing attention from experts across different disciplines because of its potential application…

cs.CV2016★ 70 cited

Spontaneous Subtle Expression Detection and Recognition based on Facial Strain

Sze-Teng Liong, John See, Raphael Chung-Wei Phan +4

Optical strain is an extension of optical flow that is capable of quantifying subtle changes on faces and representing the minute facial motion intensities at the pixel level. This…

cs.CV2016★ 84 cited

Sparsity in Dynamics of Spontaneous Subtle Emotions: Analysis \& Application

Anh Cat Le Ngo, John See, Raphael Chung-Wei Phan

Spontaneous subtle emotions are expressed through micro-expressions, which are tiny, sudden and short-lived dynamics of facial muscles; thus poses a great challenge for visual reco…

cs.CV2013

Multi-scale Visual Attention & Saliency Modelling with Decision Theory

Anh Cat Le Ngo, Li-Minn Ang, Guoping Qiu +1

Bottom-up saliency, an early human visual processing, behaves like binary classification of interest and null hypothesis. Its discriminant power, mutual information of image featur…

cs.CV2013★ 1 cited

Fast non parametric entropy estimation for spatial-temporal saliency method

Anh Cat Le Ngo, Guoping Qiu, Geoff Underwood +2

This paper formulates bottom-up visual saliency as center surround conditional entropy and presents a fast and efficient technique for the computation of such a saliency map. It is…

cs.CV2013

Multiscale Discriminant Saliency for Visual Attention

Anh Cat Le Ngo, Kenneth Ang Li-Minn, Guoping Qiu +1

The bottom-up saliency, an early stage of humans' visual attention, can be considered as a binary classification problem between center and surround classes. Discriminant power of…