Seuraa
David Crandall
David Crandall
Professor of Computer Science, Indiana University
Vahvistettu sähköpostiosoite verkkotunnuksessa indiana.edu - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
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
10522009
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
8322008
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
5622010
Spatial priors for part-based recognition using statistical models.
D Crandall, P Felzenszwalb, D Huttenlocher
IEEE Conference on Computer Vision and Pattern Recognition, 2005
4252005
Discrete-continuous optimization for large-scale structure from motion
D Crandall, A Owens, N Snavely, D Huttenlocher
CVPR 2011, 3001-3008, 2011
3822011
Landmark classification in large-scale image collections
Y Li, DJ Crandall, DP Huttenlocher
2009 IEEE 12th international conference on computer vision, 1957-1964, 2009
3642009
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
3532015
Discovering Localized Attributes for Fine-grained Recognition
K Duan, D Parikh, D Crandall, K Grauman
CVPR, 2012
3362012
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
2812016
Weakly supervised learning of part-based spatial models for visual object recognition
DJ Crandall, DP Huttenlocher
European conference on computer vision, 16-29, 2006
2552006
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
2082014
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
1922015
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
1672019
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
1592012
PlaceAvoider: Steering First-Person Cameras away from Sensitive Spaces.
R Templeman, M Korayem, DJ Crandall, A Kapadia
NDSS, 23-26, 2014
1562014
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
1452016
Method for detecting objects in digital images
J Luo, D Crandall
US Patent 7,035,461, 2006
1422006
Subjectivity and sentiment analysis of arabic: A survey
M Korayem, D Crandall, M Abdul-Mageed
International conference on advanced machine learning technologies and …, 2012
1372012
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
1302017
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
1222018
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Artikkelit 1–20