Ensemble machine learning C Zhang, Y Ma springer, 2012 | 1746 | 2012 |
What makes an image popular? A Khosla, A Das Sarma, R Hamid Proceedings of the 23rd international conference on World wide web, 867-876, 2014 | 434 | 2014 |
Large-scale video summarization using web-image priors A Khosla, R Hamid, CJ Lin, N Sundaresan Proceedings of the IEEE conference on computer vision and pattern …, 2013 | 366 | 2013 |
a CAPpella: programming by demonstration of context-aware applications AK Dey, R Hamid, C Beckmann, I Li, D Hsu Proceedings of the SIGCHI conference on Human factors in computing systems …, 2004 | 345 | 2004 |
Detection and explanation of anomalous activities: Representing activities as bags of event n-grams R Hamid, A Johnson, S Batta, A Bobick, C Isbell, G Coleman 2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005 | 185 | 2005 |
A novel sequence representation for unsupervised analysis of human activities R Hamid, S Maddi, A Johnson, A Bobick, I Essa, C Isbell Artificial Intelligence 173 (14), 1221-1244, 2009 | 146 | 2009 |
Extraction of image feature data from images A Bhardwaj, W Di, MR Hamid, R Piramuthu, N Sundaresan US Patent 8,798,363, 2014 | 118 | 2014 |
Large-Scale Damage Detection Using Satellite Imagery L Gueguen, R Hamid Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 111 | 2015 |
Compact random feature maps R Hamid, Y Xiao, A Gittens, D DeCoste International conference on machine learning, 19-27, 2014 | 91 | 2014 |
Argmode-activity recognition using graphical models R Hamid, Y Huang, I Essa 2003 Conference on Computer Vision and Pattern Recognition Workshop 4, 38-38, 2003 | 87 | 2003 |
Structure from statistics-unsupervised activity analysis using suffix trees R Hamid, S Maddi, A Bobick, I Essa 2007 IEEE 11th International Conference on Computer Vision, 1-8, 2007 | 84 | 2007 |
Selective structured state-spaces for long-form video understanding J Wang, W Zhu, P Wang, X Yu, L Liu, M Omar, R Hamid Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 82 | 2023 |
Shot contrastive self-supervised learning for scene boundary detection S Chen, X Nie, D Fan, D Zhang, V Bhat, R Hamid Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 77 | 2021 |
Player localization using multiple static cameras for sports visualization R Hamid, RK Kumar, M Grundmann, K Kim, I Essa, J Hodgins 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 66 | 2010 |
Robust cross-modal representation learning with progressive self-distillation A Andonian, S Chen, R Hamid Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 57 | 2022 |
Toward a generalizable image representation for large-scale change detection: Application to generic damage analysis L Gueguen, R Hamid IEEE Transactions on Geoscience and Remote Sensing 54 (6), 3378-3387, 2016 | 43 | 2016 |
Taylor expansion based classifier adaptation: Application to person detection C Zhang, R Hamid, Z Zhang 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008 | 42 | 2008 |
A robust and efficient framework for sports-field registration X Nie, S Chen, R Hamid Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 40 | 2021 |
Geospatial Correspondences for Multimodal Registration D Marcos, R Hamid, D Tuia Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 40 | 2016 |
Item recommendations using image feature data A Bhardwaj, W Di, MR Hamid, R Piramuthu, N Sundaresan US Patent 8,908,962, 2014 | 36 | 2014 |