Quick info:CVGoogle ScholarSemantic Scholar Email (Reveal): Name FAQ: `Foe'-`eee'. It rhymes with snowy or Joey: the key is to forget how it is spelled. It (but not me) is from the County Cork, Ireland.
Pictures: One picture is hard to identify a person with. Here are some more.
I work on computer vision and machine learning. I am interested in getting computers to understand the world in terms of:
physical properties: how do we recover intrinsically 3D properties from a 2D image? which 3D properties should we perceive and how do
they interact? and how do we reconcile our strong prior knowledge about this problem with data-driven techniques?
functional properties: how do we understand how an agent (e.g., human or robot)
can interact with the world? and what are the implications for 3D understanding?
as well as how these two relate to semantics, or a language-based understanding.
D. Fouhey, V. Delaitre, A. Gupta, A. Efros, I. Laptev, and J. Sivic. People Watching: Human Actions as a Cue for Single View Geometry.
Accepted in IJCV (extended version of ECCV 2012 paper).
[Final version (via Springer)]
#1 Messiest Desk: My desk was voted #1 messiest desk in
the second floor of Smith Hall at Carnegie Mellon during the RI's open house for 2016.
If a cluttered desk is an indication of a cluttered mind, then what does an empty desk indicate?
Visual Rank Estimation:Visually Identifying Rank
with Daniel Maturana proves that linear algebra can be replaced
with machine learning. It also shows that if you are a CNN, the much-hated jet colormap is actually the best colormap.
Winner of the ``Most Frighteningly Like Real Research'' award at SIGBOVIK 2016.
Celebrity Learning: You may also know my award-winning work
with Daniel Maturana on celebrity-themed
learning, making money at home from Hilbert's Nulstellensatz, and more from
Award-Winning Optimization Sheet: I wrote an award-winning one page
cheat-sheet for Convex Optimization at CMU (10-725). Be sure to
check the watermark!