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Zhen Gao
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Feature and label relation modeling for multiple-facial action unit classification and intensity estimation
Personalized video emotion tagging through a topic model
Emotion Recognition from EEG Signals Enhanced by User's Profile
Emotion recognition from peripheral physiological signals enhanced by EEG
Employing subjects' information as privileged information for emotion recognition from EEG signals
Facial expression recognition through modeling age-related spatial patterns
Gender recognition from visible and thermal infrared facial images
Implicit hybrid video emotion tagging by integrating video content and users' multiple physiological responses
Emotion Recognition from EEG Signals by Leveraging Stimulus Videos
Emotion Recognition from EEG Signals using Hierarchical Bayesian Network with Privileged Information
Multiple Aesthetic Attribute Assessment by Exploiting Relations Among Aesthetic Attributes
Capture expression-dependent AU relations for expression recognition
Emotion recognition from thermal infrared images using deep Boltzmann machine
Facial Action Unit recognition by relation modeling from both qualitative knowledge and quantitative data
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