Indiana University Bloomington












Assistant Professor, School of Informatics and Computing
Office: Informatics East 302
djcran@indiana.edu

See also: Professor Crandall's home page

Education
Ph.D., Cornell University, Ithaca, NY, 2008
Research Interests

My main research interest is computer vision, the area of computer science that tries to design algorithms that can "see". I am particularly interested in visual object recognition and scene understanding. I am also interested in other problems that involve analyzing and modeling large amounts of uncertain data, like mining data from the web and from online social networking sites.

Representative Publications

Crandall, D., Backstrom, L., Cosley, D., Suri, S., Huttenlocher, D., & Kleinberg, J. (2010). Inferring Social Ties from Geographic Coincidences. In Proceedings of the National Academy of Sciences (PNAS).

Crandall, D., Backstrom, L., Huttenlocher, D., & Kleinberg, J. (2009). Mapping the world's photos. In International World Wide Web Conference.

Li, Y., Crandall, D., & Huttenlocher, D. (2009). Landmark classification in large-scale image collections. In IEEE International Conference on Computer Vision.

Crandall, D., Cosley, D., Huttenlocher, D., Kleinberg, J., & Suri, S. (2008). Feedback effects between similarity and social influence in online communities. In ACM International Conference on Knowledge Discovery and Data Mining.

Crandall, D., & Huttenlocher, D. (2007). Composite models of objects and scenes for category recognition. In IEEE Conference on Computer Vision and Pattern Recognition.

Crandall, D., & Luo, J. (2006). Robust color object detection using spatial-color joint probability functions. IEEE Transactions on Image Processing, 15(6), 1443-1453.

Crandall, D., & Huttenlocher, D. (2006). Weakly supervised learning of part-based spatial models for visual object recognition. In European Conference on Computer Vision.

Crandall, D., Felzenszwalb, P., & Huttenlocher, D. (2005). Spatial priors for part-based recognition using statistical models. In IEEE Conference on Computer Vision and Pattern Recognition.

Luo, J., Crandall, D., Singhal, A., Boutell, M., & Gray, R. (2003). Psychophysical study of image orientation perception. Spatial Vision, pp. 429-456.

Crandall, D., Antani, S. & Kasturi, R. (2002). Extraction of special effects caption text events from digital video. International Journal of Document Analysis and Recognition, 5(2-3), 138-157.