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A recursive framework for expression recognition: from web images to deep models to game dataset.

, , , и . Mach. Vis. Appl., 29 (3): 489-502 (2018)

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Multimodal Sensing and Data Processing for Speaker and Emotion Recognition using Deep Learning Models with Audio, Video and Biomedical Sensors.. City University of New York, USA, (2018)A recursive framework for expression recognition: from web images to deep models to game dataset., , , и . Mach. Vis. Appl., 29 (3): 489-502 (2018)Information theoretic reward shaping for curiosity driven learning in POMDPs., , и . ICDL-EPIROB, стр. 1-7. IEEE, (2011)Deep Belief Nets as Function Approximators for Reinforcement Learning., и . Lifelong Learning, том WS-11-15 из AAAI Technical Report, AAAI, (2011)Towards an "In-the-Wild" Emotion Dataset Using a Game-Based Framework., , , и . CVPR Workshops, стр. 1526-1534. IEEE Computer Society, (2016)A Deep Feature based Multi-kernel Learning Approach for Video Emotion Recognition., , и . ICMI, стр. 483-490. ACM, (2015)EAC-Net: A Region-Based Deep Enhancing and Cropping Approach for Facial Action Unit Detection., , , и . FG, стр. 103-110. IEEE Computer Society, (2017)Text Generation with Speech Synthesis for ASR Data Augmentation., , , , , , , , , и 4 other автор(ы). CoRR, (2023)Action Unit Detection with Region Adaptation, Multi-labeling Learning and Optimal Temporal Fusing., , и . CVPR, стр. 6766-6775. IEEE Computer Society, (2017)A deep reinforcement learning approach to character segmentation of license plate images., , и . MVA, стр. 539-542. IEEE, (2015)