David Crandall

Cited by

	All	Since 2019
Citations	15948	9738
h-index	58	49
i10-index	144	126

2300

1150

575

1725

200620072008200920102011201220132014201520162017201820192020202120222023202464 94 128 189 287 384 392 528 709 702 725 781 909 948 1139 1465 1669 2172 2253

Public access

View all

100 articles

5 articles

available

not available

Based on funding mandates

Co-authors

Chen YuProfessor, The University of Texas at AustinVerified email at austin.utexas.edu
Apu KapadiaProfessor of Computer Science, Indiana University BloomingtonVerified email at indiana.edu
Daniel HuttenlocherMassachusetts Institute of TechnologyVerified email at mit.edu
Mingze XuAppleVerified email at apple.com
Stefan LeeAssistant Professor, Oregon State UniversityVerified email at oregonstate.edu
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 BatraGeorgia Tech | Prev: FAIR (Meta AI)Verified email at gatech.edu
Rob TemplemanExecutive Director for Cyber Innovation, Indiana UniversityVerified email at iu.edu
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
Wenguan WangZhejiang UniversityVerified email at zju.edu.cn
Jiebo Luo, Fellow of NAI/ACM/AAAI/IE...Albert Arendt Hopeman Professor of Engineering, University of RochesterVerified email at cs.rochester.edu
Md Alimoor RezaAssistant Professor, Drake UniversityVerified email at drake.edu
Roberto HoyleAssistant Professor, Oberlin CollegeVerified email at oberlin.edu
Michael CogswellSRI InternationalVerified email at sri.com
Satoshi TsutsuiNanyang Technological UniversityVerified email at indiana.edu
David LeakeProfessor of Computer Science, Indiana UniversityVerified email at iu.edu
Jon KleinbergProfessor of Computer Science, Cornell UniversityVerified email at cs.cornell.edu
Selma ŠabanovićProfessor of Informatics, Indiana University BloomingtonVerified email at iu.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	1124	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	883	2008
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	876	2022
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	619	2010
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	580	2016
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	523	2015
Discrete-continuous optimization for large-scale structure from motion D Crandall, A Owens, N Snavely, D Huttenlocher CVPR 2011, 3001-3008, 2011	463	2011
Spatial priors for part-based recognition using statistical models. D Crandall, P Felzenszwalb, D Huttenlocher IEEE Conference on Computer Vision and Pattern Recognition, 2005	433	2005
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	432	2020
Landmark classification in large-scale image collections Y Li, DJ Crandall, DP Huttenlocher 2009 IEEE 12th international conference on computer vision, 1957-1964, 2009	380	2009
Discovering Localized Attributes for Fine-grained Recognition K Duan, D Parikh, D Crandall, K Grauman CVPR, 2012	359	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	342	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	322	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	266	2006
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	257	2018
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	243	2014
A survey on deep learning technique for video segmentation T Zhou, F Porikli, DJ Crandall, L Van Gool, W Wang IEEE transactions on pattern analysis and machine intelligence 45 (6), 7099-7122, 2022	240*	2022
Hope-net: A graph-based model for hand-object pose estimation B Doosti, S Naha, M Mirbagheri, DJ Crandall Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020	238	2020
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	218	2017
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	214	2016

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors