8 citations · 8 across the 2 of their papers we have counts for
4 papers
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…
Learning to Unlearn: Building Immunity to Dataset Bias in Medical Imaging Studies
Ahmed Ashraf, Shehroz Khan, Nikhil Bhagwat +2
Medical imaging machine learning algorithms are usually evaluated on a single dataset. Although training and testing are performed on different subsets of the dataset, models built…
A Hybrid Instance-based Transfer Learning Method
Azin Asgarian, Parinaz Sobhani, Ji Chao Zhang +4
In recent years, supervised machine learning models have demonstrated tremendous success in a variety of application domains. Despite the promising results, these successful models…
Subspace Selection to Suppress Confounding Source Domain Information in AAM Transfer Learning
Azin Asgarian, Ahmed Bilal Ashraf, David Fleet +1
Active appearance models (AAMs) are a class of generative models that have seen tremendous success in face analysis. However, model learning depends on the availability of detailed…