8 citations · 12 across the 6 of their papers we have counts for
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cs.CV2019
Toward an Automatic System for Computer-Aided Assessment in Facial Palsy
Diego L. Guarin, Yana Yunusova, Babak Taati +7
Importance: Machine learning (ML) approaches to facial landmark localization carry great clinical potential for quantitative assessment of facial function as they enable high-throu…
cs.CV2019★ 8 cited
Limitations and Biases in Facial Landmark Detection -- An Empirical Study on Older Adults with Dementia
Azin Asgarian, Shun Zhao, Ahmed B. Ashraf +5
Accurate facial expression analysis is an essential step in various clinical applications that involve physical and mental health assessments of older adults (e.g. diagnosis of pai…