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20132018
most citedFast non parametric entropy estimation for spatial-temporal saliency method

1 citations · 2 across the 4 of their papers we have counts for

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cs.CV2018

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

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

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.CV20131 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…