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cs.CV2021
Affect-Aware Deep Belief Network Representations for Multimodal Unsupervised Deception Detection
Leena Mathur, Maja J Matarić
Automated systems that detect the social behavior of deception can enhance human well-being across medical, social work, and legal domains. Labeled datasets to train supervised dec…
cs.CV2021
Unsupervised Audio-Visual Subspace Alignment for High-Stakes Deception Detection
Leena Mathur, Maja J Matarić
Automated systems that detect deception in high-stakes situations can enhance societal well-being across medical, social work, and legal domains. Existing models for detecting high…
cs.CV2020
Introducing Representations of Facial Affect in Automated Multimodal Deception Detection
Leena Mathur, Maja J Matarić
Automated deception detection systems can enhance health, justice, and security in society by helping humans detect deceivers in high-stakes situations across medical and legal dom…