David Crandall
David Crandall
Professor of Computer Science, Indiana University
Verified email at indiana.edu - Homepage
Cited by
Cited by
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
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
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
Spatial priors for part-based recognition using statistical models.
D Crandall, P Felzenszwalb, D Huttenlocher
IEEE Conference on Computer Vision and Pattern Recognition, 2005
Discrete-continuous optimization for large-scale structure from motion
D Crandall, A Owens, N Snavely, D Huttenlocher
CVPR 2011, 3001-3008, 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
Discovering Localized Attributes for Fine-grained Recognition
K Duan, D Parikh, D Crandall, K Grauman
CVPR, 2012
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
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
Weakly supervised learning of part-based spatial models for visual object recognition
DJ Crandall, DP Huttenlocher
European conference on computer vision, 16-29, 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
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
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
PlaceAvoider: Steering First-Person Cameras away from Sensitive Spaces.
R Templeman, M Korayem, DJ Crandall, A Kapadia
NDSS, 23-26, 2014
Method for detecting objects in digital images
J Luo, D Crandall
US Patent 7,035,461, 2006
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
Subjectivity and sentiment analysis of arabic: A survey
M Korayem, D Crandall, M Abdul-Mageed
International conference on advanced machine learning technologies and …, 2012
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
Color object detection using spatial-color joint probability functions
J Luo, D Crandall
IEEE Transactions on Image Processing 15 (6), 1443-1453, 2006
PlaceRaider: Virtual theft in physical spaces with smartphones
R Templeman, Z Rahman, D Crandall, A Kapadia
arXiv preprint arXiv:1209.5982, 2012
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