David Crandall

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Chen YuProfessor, The University of Texas at AustinVerificeret mail på austin.utexas.edu
Apu KapadiaProfessor of Computer Science, Indiana University BloomingtonVerificeret mail på indiana.edu
Daniel HuttenlocherMassachusetts Institute of TechnologyVerificeret mail på mit.edu
Mingze XuAppleVerificeret mail på apple.com
Stefan LeeAssistant Professor, Oregon State UniversityVerificeret mail på oregonstate.edu
Geoffrey FoxProfessor of Computer Science, University of Virginia, Biocomplexity InstituteVerificeret mail på virginia.edu
Sven BambachData Science & Machine Learning at Nationwide Children's HospitalVerificeret mail på nationwidechildrens.org
Dhruv BatraPrev: FAIR (Meta AI), Georgia TechVerificeret mail på dhruvbatra.com
Rob TemplemanExecutive Director for Cyber Innovation, Indiana UniversityVerificeret mail på iu.edu
Mohammed KorayemDirector of Data Science, Data Science R&D - CareerBuilderVerificeret mail på indiana.edu
John PadenAssoc. Scientist/Assoc. Director, University of KansasVerificeret mail på ku.edu
Md Alimoor RezaAssistant Professor, Drake UniversityVerificeret mail på drake.edu
Jiebo Luo, Fellow of ACM/AAAI/IEEE/...Albert Arendt Hopeman Professor of Engineering, University of RochesterVerificeret mail på cs.rochester.edu
Roberto HoyleAssistant Professor, Oberlin CollegeVerificeret mail på oberlin.edu
Wenguan WangZhejiang UniversityVerificeret mail på zju.edu.cn
Selma ŠabanovićProfessor of Informatics, Indiana University BloomingtonVerificeret mail på iu.edu
Michael CogswellSRI InternationalVerificeret mail på sri.com
Satoshi TsutsuiNanyang Technological UniversityVerificeret mail på indiana.edu
David LeakeProfessor of Computer Science, Indiana UniversityVerificeret mail på iu.edu
Jon KleinbergProfessor of Computer Science, Cornell UniversityVerificeret mail på cs.cornell.edu

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David Crandall

Professor of Computer Science, Indiana University

Verificeret mail på indiana.edu - Startside

Computer vision machine learning data mining social networks


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
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	1130	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	1015	2022
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	879	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	623	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	614	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	526	2015
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	481	2020
Discrete-continuous optimization for large-scale structure from motion D Crandall, A Owens, N Snavely, D Huttenlocher CVPR 2011, 3001-3008, 2011	464	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	436	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	375	2009
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	363	2015
Discovering Localized Attributes for Fine-grained Recognition K Duan, D Parikh, D Crandall, K Grauman CVPR, 2012	361	2012
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	340	2019
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	271*	2022
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	270	2018
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	267	2006
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	251	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	248	2014
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	223	2017
Temporal recurrent networks for online action detection M Xu, M Gao, YT Chen, LS Davis, DJ Crandall Proceedings of the IEEE/CVF international conference on computer vision …, 2019	222	2019

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