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Multimodal Measurement of Depression Using Deep Learning Models.

, , , , , and . AVEC@ACM Multimedia, page 53-59. ACM, (2017)

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Learning Salient Segments for Speech Emotion Recognition Using Attentive Temporal Pooling., , and . IEEE Access, (2020)A Bayesian Filtering Framework for Continuous Affect Recognition From Facial Images., , , , and . IEEE Trans. Multim., (2023)A Streaming Video System using Adaptive QoS Control Rules., , and . EuroIMSA, page 221-226. IASTED/ACTA Press, (2005)Uncertainty-Aware Semi-Supervised Learning of 3D Face Rigging from Single Image., , , , and . ACM Multimedia, page 170-179. ACM, (2022)An Improved Camouflage Target Detection Using Hyperspectral Image Based on Block-Diagonal and Low-Rank Representation., , , , , and . PRCV (4), volume 11259 of Lecture Notes in Computer Science, page 384-395. Springer, (2018)Audio-Visual Emotion Recognition Based on a DBN Model with Constrained Asynchrony., , , and . ICIG, page 912-916. IEEE Computer Society, (2009)Manifold Analysis for Subject Independent Dynamic Emotion Recognition in Video Sequences., , , , and . ICIG, page 896-901. IEEE Computer Society, (2009)Deep neural network and switching Kalman filter based continuous affect recognition., , , , and . ICME Workshops, page 1-6. IEEE Computer Society, (2016)FACS3D-Net: 3D Convolution based Spatiotemporal Representation for Action Unit Detection., , , , , and . ACII, page 538-544. IEEE, (2019)Hybrid Depression Classification and Estimation from Audio Video and Text Information., , , , , and . AVEC@ACM Multimedia, page 45-51. ACM, (2017)