We develop an automatic system to analyze subtle changes in upper face expressions based on both permanent facial features (brows, eyes, mouth)andtransient facial features (deepen...
We present a systematic comparison of machine learning methods applied to the problem of fully automatic recognition of facial expressions, including AdaBoost, support vector mach...
Gwen Littlewort, Marian Stewart Bartlett, Ian R. F...
— This paper describes an architecture and FPGA synthesis toolchain for building specialized, energy-saving coprocessors called Irregular Code Energy Reducers (ICERs) for a wide ...
Manish Arora, Jack Sampson, Nathan Goulding-Hotta,...
We present a system for realistic facial animation that decomposes facial motion capture data into semantically meaningful motion channels based on the Facial Action Coding System...
This paper presents the design and the implementation of a compiler and runtime infrastructure for automatic program distribution. We are building a research infrastructure that e...
Roxana Diaconescu, Lei Wang, Zachary Mouri, Matt C...