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Publications of Henry Schneiderman
Thesis
  1. Henry Schneiderman. A Statistical Approach to 3-D Object Detection Applied to Faces and Cars. PhD thesis, Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, May 2000. (url) (abstract) (bibtex entry)

Journal articles or book chapters
  1. Henry Schneiderman and Takeo Kanade. Object Detection Using the Statistics of Parts. International Journal of Computer Vision, 2002. (url) (abstract) (bibtex entry)

Conference's articles
  1. Charles Rosenberg, Martial Hebert, and Henry Schneiderman. Semi-Supervised Self-Training of Object Detection Models. In Seventh IEEE Workshop on Applications of Computer Vision, January 2005. (pdf) (abstract) (bibtex entry)

  2. Derek Hoiem, Rahul Sukthankar, Henry Schneiderman, and Larry Huston. Object-Based Image Retrieval using the Statistical Structure of Images. In IEEE Conference on Computer Vision and Pattern Recognition, June 2004. (url)
    Keywords: object recognition, statistical modeling. (abstract) (bibtex entry)

  3. Henry Schneiderman. Learning a Restricted Bayesian Network for Object Detection. In IEEE Conference on Computer Vision and Pattern Recognition, June 2004. IEEE. (url) (abstract) (bibtex entry)

  4. Henry Schneiderman. Feature-Centric Evaluation for Efficient Cascaded Object Detection. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2004. IEEE. (url) (abstract) (bibtex entry)

  5. Henry Schneiderman. Learning Statistical Structure for Object Detection. In Computer Analysis of Images and Patterns (CAIP), 2003, August 2003. Springer-Verlag. (url) (abstract) (bibtex entry)

  6. Henry Schneiderman and Takeo Kanade. A histogram-based method for detection of faces and cars. In Proceedings of the 2000 International Conference on Image Processing (ICIP '00), volume 3, pages 504 - 507, September 2000. (url) (abstract) (bibtex entry)

  7. Henry Schneiderman and Takeo Kanade. A Statistical Model for 3-D Object Detection Applied to Faces and Cars. In IEEE Conference on Computer Vision and Pattern Recognition, June 2000. IEEE. (url) (abstract) (bibtex entry)

  8. Henry Schneiderman and Takeo Kanade. Probabilistic Modeling of Local Appearance and Spatial Relationships for Object Recognition. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR '98), pages 45-51, July 1998. (url) (abstract) (bibtex entry)

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The VMR Lab is part of the Vision and Autonomous Systems Center within the Robotics Institute in the School of Computer Science, Carnegie Mellon University.
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