David Crandall

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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
Mingze XuApplied Scientist, AWS AIVerified email at amazon.com
Sven BambachData Science & Machine Learning at Nationwide Children's HospitalVerified email at nationwidechildrens.org
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
Jiebo LuoProfessor of Computer Science, University of RochesterVerified email at cs.rochester.edu
Kun DuanApple Inc.Verified email at apple.com
Michael CogswellSRI InternationalVerified email at sri.com
Rangachar KasturiDouglas W. Hood Professor of Computer Science and Engineering, University of South FloridaVerified email at mail.usf.edu
Sameer AntaniNational Library of Medicine, National Institutes of HealthVerified email at nih.gov
Noah SnavelyAssociate Professor, Cornell University and Researcher at Google ResearchVerified email at cs.cornell.edu
Siddharth SuriMicrosoft Research, AIVerified email at microsoft.com

David Crandall

Associate Professor of Informatics and Computing, Indiana University

Verified email at indiana.edu - Homepage

Computer vision machine learning data mining social networks


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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	1023	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	791	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	531	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	417	2005
Discrete-continuous optimization for large-scale structure from motion D Crandall, A Owens, N Snavely, D Huttenlocher CVPR 2011, 3001-3008, 2011	353	2011
Landmark classification in large-scale image collections Y Li, DJ Crandall, DP Huttenlocher 2009 IEEE 12th international conference on computer vision, 1957-1964, 2009	341	2009
Discovering Localized Attributes for Fine-grained Recognition K Duan, D Parikh, D Crandall, K Grauman CVPR, 2012	319	2012
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	255	2015
Weakly supervised learning of part-based spatial models for visual object recognition DJ Crandall, DP Huttenlocher European conference on computer vision, 16-29, 2006	245	2006
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	216	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	184	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	148	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	140	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	125	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	118	2015
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), 138-157, 2003	118	2003
PlaceRaider: Virtual theft in physical spaces with smartphones R Templeman, Z Rahman, D Crandall, A Kapadia arXiv preprint arXiv:1209.5982, 2012	114	2012
Color object detection using spatial-color joint probability functions J Luo, D Crandall IEEE Transactions on Image Processing 15 (6), 1443-1453, 2006	114	2006
Stochastic multiple choice learning for training diverse deep ensembles S Lee, S Purushwalkam, M Cogswell, V Ranjan, D Crandall, D Batra arXiv preprint arXiv:1606.07839, 2016	107	2016

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