Facial Action Unit intensity prediction via Hard Multi-Task Metric Learning for Kernel Regression

Computer Science [cs] Artificial Intelligence [cs.AI] Computer Science [cs] Signal and Image Processing Computer Science [cs] Computer Vision and Pattern Recognition [cs.CV] Computer Science [cs] Robotics [cs.RO] Cognitive science Computer science Cognitive science Psychology Cognitive science Neuroscience

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https://hal.sorbonne-universite.fr/hal-02423008

Submitted on : Monday, December 23, 2019-3:17:33 PM

Last modification on : Friday, March 24, 2023-2:53:14 PM

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hal-02423008 , version 1 (23-12-2019)

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HAL Id : hal-02423008 , version 1
DOI : 10.1109/FG.2015.7284868

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Jérémie Nicolle, Kevin Bailly, Mohamed Chetouani. Facial Action Unit intensity prediction via Hard Multi-Task Metric Learning for Kernel Regression. 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG), May 2015, Ljubljana, France. pp.1-6, ⟨10.1109/FG.2015.7284868⟩. ⟨hal-02423008⟩

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