Object detection

Publications

• Using the forest to see the trees: object recognition in context
  A. Torralba, K. Murphy, W. Freeman,
  Communications of the ACM, Research Highlights, 2009, to appear.
  

• Sharing visual features for multiclass and multiview object detection
  Antonio Torralba, Kevin Murphy and William Freeman
  IEEE PAMI, 29(5), May 2007

• Figure-ground segmentation using a hierarchical conditional random field
  Jordan Reynolds and Kevin Murphy.
  Fourth Canadian Conference on Computer and Robot Vision (CRV 2007)

• A non-myopic approach to visual search
  Julia Vogel and Kevin Murphy.
  Fourth Canadian Conference on Computer and Robot Vision (CRV 2007)

• Object detection and localization using local and global features
  Kevin Murphy, Antonio Torralba, Daniel Eaton, William Freeman
  Sicily workshop on object recognition, 2005
  Lecture Notes in Computer Science

• Contextual Models for Object Detection using Boosted Random Fields
  Antonio Torralba, Kevin Murphy and William Freeman
  NIPS'04.

• Sharing features: efficient boosting procedures for multiclass object detection
  Antonio Torralba, Kevin Murphy and William Freeman
  CVPR'04 (Computer Vision and Pattern Recognition).
  More details here

• Using the forest to see the trees: a graphical model relating features, objects and scenes
  Kevin P. Murphy, Antonio Torralba and William T. Freeman, NIPS 2003.

• Context-based vision system for place and object recognition
  Antonio Torralba, Kevin P. Murphy, William T. Freeman and Mark Rubin, ICCV 2003.
  More details here.

Movies

• AVI of location priming for cars and keyboards, before running a detector. (See NIPS03 paper.)

• AVI of car detector combined with location priming. (See NIPS03 paper).