About me

I am a second-year graduate student in MIT CSAIL, studying computer vision and machine learning with Bill Freeman. Previously, I received a B.S. in symbolic systems and an M.S. in computer science from Stanford University, and my advisor was Andrew Ng. My work so far has involved algorithms for learning mid-level visual and auditory representations. At Stanford, I focused on scaling up sparse coding and deep belief networks. Now, I am trying to find ways to automatically estimate “intrinsic” properties of a scene, such as shading and reflectance. I believe that meaningful mid-level representations such as these will simplify the process of engineering systems for higher-level perceptual tasks.

NEW: MIT Intrinsic Images

Contact

Room 32-D466, Stata Center
Massachusetts Institute of Technology
32 Vassar Street, Cambridge MA 02139
650-714-9817
rgrosse_at_mit_edu