2 citations · 3 across the 2 of their papers we have counts for
3 papers
cs.CV2018
Deep Energies for Estimating Three-Dimensional Facial Pose and Expression
Michael Bao, Jane Wu, Xinwei Yao +1
While much progress has been made in capturing high-quality facial performances using motion capture markers and shape-from-shading, high-end systems typically also rely on rotosco…
cs.CV2018★ 1 cited
High-Quality Face Capture Using Anatomical Muscles
Michael Bao, Matthew Cong, Stéphane Grabli +1
Muscle-based systems have the potential to provide both anatomical accuracy and semantic interpretability as compared to blendshape models; however, a lack of expressivity and diff…
cs.CV2018★ 2 cited
Improved Search Strategies with Application to Estimating Facial Blendshape Parameters
Michael Bao, David Hyde, Xinru Hua +1
It is well known that popular optimization techniques can lead to overfitting or even a lack of convergence altogether; thus, practitioners often utilize ad hoc regularization term…