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Rob Fergus


  • Associate Fellow
  • Learning in Machines & Brains




Rob Fergus is a computer scientist whose 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 and at 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

Relevant Publications

  • Fei-Fei, L. et al. "Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories." Comput. Vis. Image Und. 106, no. 1 (April 2007): 59–70.

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