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Menghua He
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Gender recognition from visible and thermal infrared facial images
Implicit video emotion tagging from audiences' facial expression
Learning with privileged information using Bayesian networks
Posed and spontaneous expression recognition through modeling their spatial patterns
Emotion recognition from thermal infrared images using deep Boltzmann machine
Fusion of visible and thermal images for facial expression recognition
Active Labeling of Facial Feature Points
Analyses of the Differences between Posed and Spontaneous Facial Expressions
Emotional tagging of videos by exploring multiple emotions' coexistence
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