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Capture expression-dependent AU relations for expression recognition.

, , , , , , and . ICME Workshops, page 1-6. IEEE Computer Society, (2014)

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Posed and spontaneous facial expression differentiation using deep Boltzmann machines., , , and . ACII, page 643-648. IEEE Computer Society, (2015)Facial Action Unit recognition by relation modeling from both qualitative knowledge and quantitative data., , , , and . ICME Workshops, page 1-6. IEEE Computer Society, (2014)Posed and Spontaneous Expression Recognition Through Restricted Boltzmann Machine., and . MMM (1), volume 9516 of Lecture Notes in Computer Science, page 127-137. Springer, (2016)Facial Expression Recognition with Deep two-view Support Vector Machine., , , and . ACM Multimedia, page 616-620. ACM, (2016)Implicit hybrid video emotion tagging by integrating video content and users' multiple physiological responses., , , , , and . ICPR, page 295-300. IEEE, (2016)Emotion Recognition from EEG Signals Enhanced by User's Profile., , , and . ICMR, page 277-280. ACM, (2016)The USTC-NEL Speech Translation system at IWSLT 2018., , , , , , , and . IWSLT, page 70-75. International Conference on Spoken Language Translation, (2018)Multi-instance Hidden Markov Model for facial expression recognition., , and . FG, page 1-6. IEEE Computer Society, (2015)Capture expression-dependent AU relations for expression recognition., , , , , , and . ICME Workshops, page 1-6. IEEE Computer Society, (2014)