We work on computer vision and machine learning.
Particular areas of interest for the lab include:
- physical properties: How do we recover a rich 3D world from a 2D image?
I am especially interested in representations -- the answers that are obvious
are also obviously defective -- as well as how we should reconcile our strong
prior knowledge about this structure of the problem with data-driven
Lately, I've become interested in applying this more broadly with the
hope that we can develop AI systems that can learn how the physical world
works from observation, including work on solar physics.
- functional properties: How do we infer and
understand opportunities for
interaction? I am interested how an agent (e.g., human or robot) can
interact with the world, including in terms of what this implies for 3D understanding.