MOL jointly trains micro-expression recognition with optical flow estimation and landmark detection via the F5C block, reporting improved accuracy on CASME II, SAMM, and SMIC.
Dlib-ml: A machine learning toolkit
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Face recognition systems can be repurposed for morphing attack detection using a new threshold that bounds vulnerability even to unknown morph types.
A lightweight multi-task neural network enables real-time driver state monitoring on embedded systems by predicting multiple face indicators in one forward pass.
citing papers explorer
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MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution
MOL jointly trains micro-expression recognition with optical flow estimation and landmark detection via the F5C block, reporting improved accuracy on CASME II, SAMM, and SMIC.
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Find the Differences: Differential Morphing Attack Detection vs Face Recognition
Face recognition systems can be repurposed for morphing attack detection using a new threshold that bounds vulnerability even to unknown morph types.
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Low-Latency Embedded Driver Monitoring System with a Multi-Task Neural Network
A lightweight multi-task neural network enables real-time driver state monitoring on embedded systems by predicting multiple face indicators in one forward pass.