David Crandall

Cited by

	All	Since 2016
Citations	8040	4473
h-index	40	33
i10-index	90	78

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2005200620072008200920102011201220132014201520162017201820192020202124 64 89 117 184 284 369 400 527 696 681 717 781 841 961 1133 29

Co-authors

Daniel HuttenlocherMIT Schwarzman College of ComputingVerified email at mit.edu
Apu KapadiaAssociate Professor of Computer Science, Indiana UniversityVerified email at indiana.edu
Chen YuProfessor, University of Texas at AustinVerified email at austin.utexas.edu
Geoffrey FoxProfessor of Engineering, Computing and Physics Indiana UniversityVerified email at indiana.edu
Stefan LeeAssistant Professor, Oregon State UniversityVerified email at oregonstate.edu
Mohammed KorayemData Scientist, Data Science R&D - CareerBuilderVerified email at indiana.edu
Robert TemplemanEngineerVerified email at navy.mil
Sven BambachData Science & Machine Learning at Nationwide Children's HospitalVerified email at nationwidechildrens.org
Mingze XuApplied Scientist, AWS AIVerified email at amazon.com
Dhruv BatraGeorgia Tech and Facebook AI ResearchVerified email at gatech.edu
John PadenAssociate Scientist, University of KansasVerified email at ku.edu
Roberto HoyleAssistant Professor, Oberlin CollegeVerified email at oberlin.edu
Jon KleinbergProfessor of Computer Science, Cornell UniversityVerified email at cs.cornell.edu
Kun DuanApple Inc.Verified email at apple.com
Jiebo LuoProfessor of Computer Science, University of RochesterVerified email at cs.rochester.edu
Michael CogswellSRI InternationalVerified email at sri.com
Sameer AntaniNational Library of Medicine, National Institutes of HealthVerified email at nih.gov
Noah SnavelyAssociate Professor, Cornell University and Researcher at Google AIVerified email at cs.cornell.edu
Siddharth SuriMicrosoft Research, AIVerified email at microsoft.com
Dan CosleyNational Science FoundationVerified email at nsf.gov

David Crandall

Associate Professor of Informatics and Computing, Indiana University

Verified email at indiana.edu - Homepage

Computer vision machine learning data mining social networks


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Mapping the world's photos DJ Crandall, L Backstrom, D Huttenlocher, J Kleinberg Proceedings of the 18th international conference on World wide web, 761-770, 2009	990	2009
Feedback effects between similarity and social influence in online communities D Crandall, D Cosley, D Huttenlocher, J Kleinberg, S Suri Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008	766	2008
Inferring social ties from geographic coincidences DJ Crandall, L Backstrom, D Cosley, S Suri, D Huttenlocher, J Kleinberg Proceedings of the National Academy of Sciences 107 (52), 22436-22441, 2010	507	2010
Spatial priors for part-based recognition using statistical models. D Crandall, P Felzenszwalb, D Huttenlocher IEEE Conference on Computer Vision and Pattern Recognition, 2005	409	2005
Landmark classification in large-scale image collections Y Li, DJ Crandall, DP Huttenlocher 2009 IEEE 12th international conference on computer vision, 1957-1964, 2009	332	2009
Discrete-continuous optimization for large-scale structure from motion D Crandall, A Owens, N Snavely, D Huttenlocher CVPR 2011, 3001-3008, 2011	326	2011
Discovering Localized Attributes for Fine-grained Recognition K Duan, D Parikh, D Crandall, K Grauman CVPR, 2012	302	2012
Weakly supervised learning of part-based spatial models for visual object recognition DJ Crandall, DP Huttenlocher European conference on computer vision, 16-29, 2006	237	2006
Lending a hand: Detecting hands and recognizing activities in complex egocentric interactions S Bambach, S Lee, DJ Crandall, C Yu Proceedings of the IEEE International Conference on Computer Vision, 1949-1957, 2015	234	2015
Diverse beam search: Decoding diverse solutions from neural sequence models AK Vijayakumar, M Cogswell, RR Selvaraju, Q Sun, S Lee, D Crandall, ... arXiv preprint arXiv:1610.02424, 2016	203	2016
Privacy behaviors of lifeloggers using wearable cameras R Hoyle, R Templeman, S Armes, D Anthony, D Crandall, A Kapadia Proceedings of the 2014 ACM International Joint Conference on Pervasive and …, 2014	168	2014
SfM with MRFs: Discrete-continuous optimization for large-scale structure from motion DJ Crandall, A Owens, N Snavely, DP Huttenlocher IEEE transactions on pattern analysis and machine intelligence 35 (12), 2841 …, 2012	143	2012
Method for detecting objects in digital images J Luo, D Crandall US Patent 7,035,461, 2006	142	2006
PlaceAvoider: Steering First-Person Cameras away from Sensitive Spaces. R Templeman, M Korayem, DJ Crandall, A Kapadia NDSS, 23-26, 2014	129	2014
Subjectivity and sentiment analysis of arabic: A survey M Korayem, D Crandall, M Abdul-Mageed International conference on advanced machine learning technologies and …, 2012	118	2012
Color object detection using spatial-color joint probability functions J Luo, D Crandall IEEE Transactions on Image Processing 15 (6), 1443-1453, 2006	111	2006
Extraction of special effects caption text events from digital video D Crandall, S Antani, R Kasturi International journal on document analysis and recognition 5 (2-3), 138-157, 2003	109	2003
Robust extraction of text in video S Antani, D Crandall, R Kasturi Pattern Recognition, 2000. Proceedings. 15th International Conference on 1 …, 2000	107*	2000
PlaceRaider: Virtual theft in physical spaces with smartphones R Templeman, Z Rahman, D Crandall, A Kapadia arXiv preprint arXiv:1209.5982, 2012	106	2012
Why M heads are better than one: Training a diverse ensemble of deep networks S Lee, S Purushwalkam, M Cogswell, D Crandall, D Batra arXiv preprint arXiv:1511.06314, 2015	103	2015

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