David Crandall

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Chen YuProfessor, University of Texas at AustinVerified email at austin.utexas.edu
Daniel HuttenlocherMIT Schwarzman College of ComputingVerified email at mit.edu
Apu KapadiaProfessor of Computer Science, Indiana UniversityVerified email at indiana.edu
Geoffrey FoxProfessor of Computer Science, University of Virginia, Biocomplexity InstituteVerified email at virginia.edu
Mingze XuAWS AI LabsVerified email at amazon.com
Stefan LeeAssistant Professor, Oregon State UniversityVerified email at oregonstate.edu
Sven BambachData Science & Machine Learning at Nationwide Children's HospitalVerified email at nationwidechildrens.org
Mohammed KorayemData Scientist, Data Science R&D - CareerBuilderVerified email at indiana.edu
Robert TemplemanEngineerVerified email at navy.mil
Dhruv BatraGeorgia Tech and Facebook AI ResearchVerified email at gatech.edu
John PadenAssoc. Scientist/Assoc. Director, University of KansasVerified email at ku.edu
Roberto HoyleAssistant Professor, Oberlin CollegeVerified email at oberlin.edu
Jiebo LuoProfessor of Computer Science, University of RochesterVerified email at cs.rochester.edu
Jon KleinbergProfessor of Computer Science, Cornell UniversityVerified email at cs.cornell.edu
Michael CogswellSRI InternationalVerified email at sri.com
Satoshi TsutsuiIndiana UniversityVerified email at indiana.edu
Kun DuanApple Inc.Verified email at apple.com
Wenguan Wang (王文冠)Lecturer, UTSVerified email at vision.ee.ethz.ch
Noah SnavelyAssociate Professor, Cornell University and Researcher at Google ResearchVerified email at cs.cornell.edu
Rangachar KasturiDouglas W. Hood Professor Emeritus of Computer Science and Engineering, University of South FloridaVerified email at mail.usf.edu

David Crandall

Professor of Computer Science, 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	1051	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	843	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	561	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	423	2005
Discrete-continuous optimization for large-scale structure from motion D Crandall, A Owens, N Snavely, D Huttenlocher CVPR 2011, 3001-3008, 2011	385	2011
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	372	2015
Landmark classification in large-scale image collections Y Li, DJ Crandall, DP Huttenlocher 2009 IEEE 12th international conference on computer vision, 1957-1964, 2009	364	2009
Discovering Localized Attributes for Fine-grained Recognition K Duan, D Parikh, D Crandall, K Grauman CVPR, 2012	340	2012
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	308	2016
Weakly supervised learning of part-based spatial models for visual object recognition DJ Crandall, DP Huttenlocher European conference on computer vision, 16-29, 2006	256	2006
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	212	2014
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	206	2015
Zero-shot video object segmentation via attentive graph neural networks W Wang, X Lu, J Shen, DJ Crandall, L Shao Proceedings of the IEEE/CVF international conference on computer vision …, 2019	178	2019
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	161	2012
PlaceAvoider: Steering First-Person Cameras away from Sensitive Spaces. R Templeman, M Korayem, DJ Crandall, A Kapadia NDSS, 23-26, 2014	157	2014
Stochastic multiple choice learning for training diverse deep ensembles S Lee, S Purushwalkam Shiva Prakash, M Cogswell, V Ranjan, ... Advances in Neural Information Processing Systems 29, 2016	153	2016
Method for detecting objects in digital images J Luo, D Crandall US Patent 7,035,461, 2006	143	2006
Real-time, cloud-based object detection for unmanned aerial vehicles J Lee, J Wang, D Crandall, S Šabanović, G Fox 2017 First IEEE International Conference on Robotic Computing (IRC), 36-43, 2017	138	2017
Subjectivity and sentiment analysis of arabic: A survey M Korayem, D Crandall, M Abdul-Mageed International conference on advanced machine learning technologies and …, 2012	134	2012
Diverse beam search for improved description of complex scenes A Vijayakumar, M Cogswell, R Selvaraju, Q Sun, S Lee, D Crandall, ... Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018	128	2018

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