Rob Fergus Computer scientist
Rob Fergus’ research is in the areas of computer vision, machine learning and computer graphics. He assembles statistical models of images both at the high level of objects and scenes, as well as the low level of pixels and edges. These models are then deployed in a variety of problems such as object recognition, image search and computational photography.
IEEE Longuet-Higgins Award, 2013.
NSF Career Award, 2012.
Sloan Reseach Fellowship, 2011.
L. Fei-Fei et al, "Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories," Comput. Vis. Image Und., vol. 106, no. 1, pp. 59-70, Apr. 2007.
Senior Fellow Learning in Machines & Brains
New York UniversityCourant Institute of Mathematical Sciences
DPhil (Electrical Engineering) University of Oxford
MSc (Electrical Engineering) California Institute of Technology
MEng (Electrical Engineering) University of Cambridge
BA (Electrical Engineering) University of Cambridge