2 papers
cs.GR2025
Tiny is not small enough: High-quality, low-resource facial animation models through hybrid knowledge distillation
Zhen Han, Mattias Teye, Derek Yadgaroff +1
The training of high-quality, robust machine learning models for speech-driven 3D facial animation requires a large, diverse dataset of high-quality audio-animation pairs. To overc…
stat.ML2018
Bayesian Uncertainty Estimation for Batch Normalized Deep Networks
Mattias Teye, Hossein Azizpour, Kevin Smith
We show that training a deep network using batch normalization is equivalent to approximate inference in Bayesian models. We further demonstrate that this finding allows us to make…