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Exploring Multimodal Visual Features for Continuous Affect Recognition.

, , , , and . AVEC@ACM Multimedia, page 83-88. ACM, (2016)

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Combining feature-level and decision-level fusion in a hierarchical classifier for emotion recognition in the wild., , , , , , , and . J. Multimodal User Interfaces, 10 (2): 125-137 (2016)Automatic temporal segment detection via bilateral long short-term memory recurrent neural networks., , , , and . J. Electronic Imaging, 26 (2): 20501 (2017)Audio-Video Based Multimodal Emotion Recognition Using SVMs and Deep Learning., , , , , and . CCPR (2), volume 663 of Communications in Computer and Information Science, page 621-631. (2016)Exploring Multimodal Visual Features for Continuous Affect Recognition., , , , and . AVEC@ACM Multimedia, page 83-88. ACM, (2016)Combining Multimodal Features with Hierarchical Classifier Fusion for Emotion Recognition in the Wild., , , , , and . ICMI, page 481-486. ACM, (2014)Facial expression recognition in the wild based on multimodal texture features., , , and . J. Electronic Imaging, 25 (6): 061407 (2016)LSTM for dynamic emotion and group emotion recognition in the wild., , , , , and . ICMI, page 451-457. ACM, (2016)A new deep-learning framework for group emotion recognition., , , , , , and . ICMI, page 587-592. ACM, (2017)Combining Multimodal Features within a Fusion Network for Emotion Recognition in the Wild., , , , , , , and . ICMI, page 497-502. ACM, (2015)Combining Visual and Movement Modalities for No-audio Speech Setection., , and . MediaEval, volume 2670 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)