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Efficient Modeling of Long Temporal Contexts for Continuous Emotion Recognition.

, , , , and . ACII, page 185-191. IEEE, (2019)

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Correction to: Semi-supervised Ladder Networks for Speech Emotion Recognition., , , , and . Int. J. Autom. Comput., 18 (4): 680 (2021)Discriminative Video Representation with Temporal Order for Micro-expression Recognition., , , , and . ICASSP, page 2112-2116. IEEE, (2019)Multimodal Transformer Fusion for Continuous Emotion Recognition., , , , and . ICASSP, page 3507-3511. IEEE, (2020)Deep Learning for Depression Recognition with Audiovisual Cues: A Review., , , , , , , , , and 2 other author(s). CoRR, (2021)Deep learning for depression recognition with audiovisual cues: A review., , , , , , , , , and 2 other author(s). Inf. Fusion, (2022)Multi-Scale and Multi-Region Facial Discriminative Representation for Automatic Depression Level Prediction., , and . ICASSP, page 1325-1329. IEEE, (2021)Multi-modal Continuous Dimensional Emotion Recognition Using Recurrent Neural Network and Self-Attention Mechanism., , , , and . MuSe @ ACM Multimedia, page 27-34. ACM, (2020)Deep Learning for Continuous Multiple Time Series Annotations., , , , , and . AVEC@MM, page 91-98. ACM, (2018)Local Second-Order Gradient Cross Pattern for Automatic Depression Detection., , and . ACII Workshops, page 128-132. IEEE, (2019)WavDepressionNet: Automatic Depression Level Prediction via Raw Speech Signals., , , , and . IEEE Trans. Affect. Comput., 15 (1): 285-296 (January 2024)