My research focuses on computer vision, often motivated by the task of understanding people from visual data. My work tends to make heavy use of machine learning techniques, often using the human visual system as inspiration. For example, temporal processing is a key component of human perception, but is still relatively unexploited in current visual recognition systems. Machine learning from big (visual) data allows systems to learn subtle statistical regularities of the visual world. But humans have the ability to learn from very few examples. Here's a talk (from 2015) that discusses some thoughts on these issues.

I am currently a principle scientist at Argo AI and the director of the CMU Argo AI Center for Autonomous Vehicle Research. We have several post-doctoral and research staff positions. Please contact me if you are interested.