26 citations · 56 across the 15 of their papers we have counts for
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MoTop: Motion-Topological Model For Micro AU Detection
Huai-Qian Khor, Mengting Wei, Yante Li +2
Facial micro-expressions are spontaneous, brief, and subtle facial movements that reveal suppressed emotions in high-stakes environments. In contrast to classic expression analysis…
Modeling Generalized Specialist Approach To Train Quality Resilient Snapshot Ensemble
Ghalib Ahmed Tahir, Chu Kiong Loo, Zongying Liu
Convolutional neural networks (CNNs) apply well with food image recognition due to the ability to learn discriminative visual features. Nevertheless, recognizing distorted images i…
Novel Multicolumn Kernel Extreme Learning Machine for Food Detection via Optimal Features from CNN
Ghalib Ahmed Tahir, Chu Kiong Loo
Automatic food detection is an emerging topic of interest due to its wide array of applications ranging from detecting food images on social media platforms to filtering non-food p…
A Comprehensive Survey of Image-Based Food Recognition and Volume Estimation Methods for Dietary Assessment
Ghalib Tahir, Chu Kiong Loo
Dietary studies showed that dietary-related problem such as obesity is associated with other chronic diseases like hypertension, irregular blood sugar levels, and increased risk of…
A Dual Fast and Slow Feature Interaction in Biologically Inspired Visual Recognition of Human Action
Bardia Yousefi, C. K. Loo
Computational neuroscience studies that have examined human visual system through functional magnetic resonance imaging (fMRI) have identified a model where the mammalian brain pur…
Classify Images with Conceptor Network
Yuhuang Hu, M. S. Ishwarya, Chu Kiong Loo
This article demonstrates a new conceptor network based classifier in classifying images. Mathematical descriptions and analysis are presented. Various tests are experimented using…