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PUnDA: Probabilistic Unsupervised Domain Adaptation

, , and . Proc. IEEE International Conference Computer Vision, (2017)

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PUnDA: Probabilistic Unsupervised Domain Adaptation, , and . Proc. IEEE International Conference Computer Vision, (2017)Fast and Effective Adaptation of Facial Action Unit Detection Deep Model., , , and . CoRR, (2019)Special Issue on Automated Perception of Human Affect from Longitudinal Behavioral Data., , , and . IEEE Trans. Affect. Comput., 12 (3): 551-552 (2021)Copula Ordinal Regression Framework for Joint Estimation of Facial Action Unit Intensity., , , and . IEEE Trans. Affect. Comput., 10 (3): 297-312 (2019)Toward Personalized Affect-Aware Socially Assistive Robot Tutors in Long-Term Interventions for Children with Autism., , , , , and . CoRR, (2021)Context-Sensitive Conditional Ordinal Random Fields for Facial Action Intensity Estimation., , and . ICCV Workshops, page 492-499. IEEE Computer Society, (2013)Deep Structured Learning for Facial Expression Intensity Estimation, , , , and . IEEE Int'l Conf. Computer Vision and Pattern Recognition, (2017)Device-Directed Speech Detection: Regularization via Distillation for Weakly-Supervised Models., , , , , , , and . INTERSPEECH, page 1258-1262. ISCA, (2022)Shape-constrained Gaussian process regression for facial-point-based head-pose normalization., and . ICCV, page 1495-1502. IEEE Computer Society, (2011)CultureNet: A Deep Learning Approach for Engagement Intensity Estimation from Face Images of Children with Autism., , , , , , and . IROS, page 339-346. IEEE, (2018)