| 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 | 1020 | 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 | 790 | 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 | 529 | 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 | 417 | 2005 |
| Discrete-continuous optimization for large-scale structure from motion D Crandall, A Owens, N Snavely, D Huttenlocher CVPR 2011, 3001-3008, 2011 | 352 | 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 | 341 | 2009 |
| Discovering Localized Attributes for Fine-grained Recognition K Duan, D Parikh, D Crandall, K Grauman CVPR, 2012 | 319 | 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 | 255 | 2015 |
| Weakly supervised learning of part-based spatial models for visual object recognition DJ Crandall, DP Huttenlocher European conference on computer vision, 16-29, 2006 | 245 | 2006 |
| 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 | 214 | 2016 |
| 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 | 183 | 2014 |
| 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 | 147 | 2012 |
| Method for detecting objects in digital images J Luo, D Crandall US Patent 7,035,461, 2006 | 142 | 2006 |
| PlaceAvoider: Steering First-Person Cameras away from Sensitive Spaces. R Templeman, M Korayem, DJ Crandall, A Kapadia NDSS, 23-26, 2014 | 140 | 2014 |
| Subjectivity and sentiment analysis of arabic: A survey M Korayem, D Crandall, M Abdul-Mageed International conference on advanced machine learning technologies and …, 2012 | 125 | 2012 |
| Extraction of special effects caption text events from digital video D Crandall, S Antani, R Kasturi International journal on document analysis and recognition 5 (2), 138-157, 2003 | 118 | 2003 |
| 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 | 117 | 2015 |
| PlaceRaider: Virtual theft in physical spaces with smartphones R Templeman, Z Rahman, D Crandall, A Kapadia arXiv preprint arXiv:1209.5982, 2012 | 114 | 2012 |
| Color object detection using spatial-color joint probability functions J Luo, D Crandall IEEE Transactions on Image Processing 15 (6), 1443-1453, 2006 | 114 | 2006 |
| Stochastic multiple choice learning for training diverse deep ensembles S Lee, S Purushwalkam, M Cogswell, V Ranjan, D Crandall, D Batra arXiv preprint arXiv:1606.07839, 2016 | 107 | 2016 |
Daniel HuttenlocherMIT Schwarzman College of Computingmit.edu의 이메일 확인됨
