David Crandall

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Chen YuProfessor, The University of Texas at AustinVerified email at austin.utexas.edu
Apu KapadiaProfessor of Computer Science, Indiana UniversityVerified email at indiana.edu
Daniel HuttenlocherMassachusetts Institute of TechnologyVerified email at mit.edu
Stefan LeeAssistant Professor, Oregon State UniversityVerified email at oregonstate.edu
Mingze XuCruiseVerified email at getcruise.com
Geoffrey FoxProfessor of Computer Science, University of Virginia, Biocomplexity InstituteVerified email at virginia.edu
Sven BambachData Science & Machine Learning at Nationwide Children's HospitalVerified email at nationwidechildrens.org
Dhruv BatraFAIR (Meta AI) | Georgia TechVerified email at gatech.edu
Robert TemplemanDistinguished Engineer, Department of NavyVerified email at navy.mil
Mohammed KorayemDirector of Data Science, Data Science R&D - CareerBuilderVerified email at indiana.edu
John PadenAssoc. Scientist/Assoc. Director, University of KansasVerified email at ku.edu
Roberto HoyleAssistant Professor, Oberlin CollegeVerified email at oberlin.edu
Jiebo LuoAlbert Arendt Hopeman Professor of Engineering, University of RochesterVerified email at cs.rochester.edu
Wenguan WangZhejiang UniversityVerified email at zju.edu.cn
Md Alimoor RezaAssistant Professor, Drake UniversityVerified email at drake.edu
Satoshi TsutsuiNanyang Technological UniversityVerified email at indiana.edu
Jon KleinbergProfessor of Computer Science, Cornell UniversityVerified email at cs.cornell.edu
Michael CogswellSRI InternationalVerified email at sri.com
Kun DuanApple Inc.Verified email at apple.com
David LeakeProfessor of Computer Science, Indiana UniversityVerified email at indiana.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	1089	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	870	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	596	2010
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	466	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	442	2016
Spatial priors for part-based recognition using statistical models. D Crandall, P Felzenszwalb, D Huttenlocher IEEE Conference on Computer Vision and Pattern Recognition, 2005	432	2005
Discrete-continuous optimization for large-scale structure from motion D Crandall, A Owens, N Snavely, D Huttenlocher CVPR 2011, 3001-3008, 2011	427	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	372	2009
Ego4d: Around the world in 3,000 hours of egocentric video K Grauman, A Westbury, E Byrne, Z Chavis, A Furnari, R Girdhar, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022	359	2022
Discovering Localized Attributes for Fine-grained Recognition K Duan, D Parikh, D Crandall, K Grauman CVPR, 2012	356	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	281	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	272	2019
Weakly supervised learning of part-based spatial models for visual object recognition DJ Crandall, DP Huttenlocher Computer Vision–ECCV 2006: 9th European Conference on Computer Vision, Graz …, 2006	269	2006
Dynamic dual-attentive aggregation learning for visible-infrared person re-identification M Ye, J Shen, D J. Crandall, L Shao, J Luo Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020	268	2020
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	232	2014
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	204	2018
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	190	2016
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	186	2017
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	179	2012
PlaceAvoider: Steering First-Person Cameras away from Sensitive Spaces. R Templeman, M Korayem, DJ Crandall, A Kapadia NDSS 14, 23-26, 2014	173	2014

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