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David Crandall
David Crandall
Professor of Computer Science, Indiana University
Verified email at indiana.edu - Homepage
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
10602009
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
8552008
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
5702010
Spatial priors for part-based recognition using statistical models.
D Crandall, P Felzenszwalb, D Huttenlocher
IEEE Conference on Computer Vision and Pattern Recognition, 2005
4232005
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
3932015
Discrete-continuous optimization for large-scale structure from motion
D Crandall, A Owens, N Snavely, D Huttenlocher
CVPR 2011, 3001-3008, 2011
3932011
Landmark classification in large-scale image collections
Y Li, DJ Crandall, DP Huttenlocher
2009 IEEE 12th international conference on computer vision, 1957-1964, 2009
3682009
Discovering Localized Attributes for Fine-grained Recognition
K Duan, D Parikh, D Crandall, K Grauman
CVPR, 2012
3472012
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
3392016
Weakly supervised learning of part-based spatial models for visual object recognition
DJ Crandall, DP Huttenlocher
European conference on computer vision, 16-29, 2006
2592006
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
2232015
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
2162014
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
2002019
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
1652012
PlaceAvoider: Steering First-Person Cameras away from Sensitive Spaces.
R Templeman, M Korayem, DJ Crandall, A Kapadia
NDSS 14, 23-26, 2014
1602014
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
1572016
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
1512017
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
1482018
Method for detecting objects in digital images
J Luo, D Crandall
US Patent 7,035,461, 2006
1442006
Dynamic dual-attentive aggregation learning for visible-infrared person re-identification
M Ye, J Shen, D J Crandall, L Shao, J Luo
European Conference on Computer Vision, 229-247, 2020
1402020
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