David Crandall

David Crandall

Associate Professor, Luddy School of Informatics, Computing, and Engineering


  • 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

Mapping the world's photos.(2009)
David J Crandall, Lars Backstrom, Daniel Huttenlocher and Jon Kleinberg
ACM. 761-770

Feedback effects between similarity and social influence in online communities.(2008)
David Crandall, Dan Cosley, Daniel Huttenlocher, Jon Kleinberg and Siddharth Suri
ACM. 160-168

Inferring social ties from geographic coincidences.(2010)
David J Crandall, Lars Backstrom, Dan Cosley, Siddharth Suri, Daniel Huttenlocher and Jon Kleinberg
Proceedings of the National Academy of Sciences, 107 (52), 22436-22441

Spatial priors for part-based recognition using statistical models.(2005)
David Crandall, Pedro Felzenszwalb and Daniel Huttenlocher

Landmark classification in large-scale image collections.(2009)
Yunpeng Li, David J Crandall and Daniel P Huttenlocher
IEEE. 1957-1964

Discrete-continuous optimization for large-scale structure from motion.(2011)
David Crandall, Andrew Owens, Noah Snavely and Dan Huttenlocher
IEEE. 3001-3008

Discovering Localized Attributes for Fine-grained Recognition.(2012)
Kun Duan, Devi Parikh, David Crandall and Kristen Grauman

Weakly supervised learning of part-based spatial models for visual object recognition.(2006)
David J Crandall and Daniel P Huttenlocher
Springer, Berlin, Heidelberg. 16-29

Lending a hand: Detecting hands and recognizing activities in complex egocentric interactions.(2015)
Sven Bambach, Stefan Lee, David J Crandall and Chen Yu

Privacy behaviors of lifeloggers using wearable cameras.(2014)
Roberto Hoyle, Robert Templeman, Steven Armes, Denise Anthony, David Crandall and Apu Kapadia
ACM. 571-582

SfM with MRFs: Discrete-continuous optimization for large-scale structure from motion.(2012)
David J Crandall, Andrew Owens, Noah Snavely and Daniel P Huttenlocher
IEEE transactions on pattern analysis and machine intelligence, 35 (12), 2841-2853

PlaceAvoider: Steering First-Person Cameras away from Sensitive Spaces.(2014)
Robert Templeman, Mohammed Korayem, David J Crandall and Apu Kapadia

Extraction of special effects caption text events from digital video.(2003)
David Crandall, Sameer Antani and Rangachar Kasturi
International journal on document analysis and recognition, 5 (3-Feb), 138-157

Robust extraction of text in video.(2000)
Sameer Antani, David Crandall and Rangachar Kasturi
IEEE. 1 831-834 vol. 1

Method for detecting objects in digital images.(2006)