| Robust object tracking with online multiple instance learning B Babenko, MH Yang, S Belongie IEEE transactions on pattern analysis and machine intelligence 33 (8), 1619-1632, 2010 | 2586 | 2010 |
| Visual tracking with online multiple instance learning B Babenko, MH Yang, S Belongie 2009 IEEE Conference on computer vision and Pattern Recognition, 983-990, 2009 | 2519 | 2009 |
| End-to-end scene text recognition K Wang, B Babenko, S Belongie 2011 International conference on computer vision, 1457-1464, 2011 | 1292 | 2011 |
| Visual recognition with humans in the loop S Branson, C Wah, F Schroff, B Babenko, P Welinder, P Perona, ... Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010 | 562 | 2010 |
| Multiple component learning for object detection P Dollár, B Babenko, S Belongie, P Perona, Z Tu Computer Vision–ECCV 2008: 10th European Conference on Computer Vision …, 2008 | 199 | 2008 |
| Weakly supervised object localization with stable segmentations C Galleguillos, B Babenko, A Rabinovich, S Belongie Computer Vision–ECCV 2008: 10th European Conference on Computer Vision …, 2008 | 144 | 2008 |
| Improving web-based image search via content based clustering N Ben-Haim, B Babenko, S Belongie Computer Vision and Pattern Recognition Workshop, 2006. CVPRW'06. Conference …, 2006 | 138 | 2006 |
| Simultaneous learning and alignment: Multi-instance and multi-pose learning B Babenko, P Dollár, Z Tu, S Belongie Workshop on Faces in'Real-Life'Images: Detection, Alignment, and Recognition, 2008 | 123 | 2008 |
| Multiple instance learning: algorithms and applications B Babenko View Article PubMed/NCBI Google Scholar 19, 2008 | 100 | 2008 |
| Predicting the risk of developing diabetic retinopathy using deep learning A Bora, S Balasubramanian, B Babenko, S Virmani, S Venugopalan, ... The Lancet Digital Health 3 (1), e10-e19, 2021 | 98 | 2021 |
| Multiple Instance Learning with Manifold Bags B Babenko, N Verma, P Dollar, S Belongie International Conference on Machine Learning, 2011 | 60 | 2011 |
| Similarity metrics for categorization: from monolithic to category specific B Babenko, S Branson, S Belongie 2009 IEEE 12th International Conference on Computer Vision, 293-300, 2009 | 59 | 2009 |
| Application recommendation using automatically synchronized shared folders B Babenko, E Ibrishimov US Patent 9,501,762, 2016 | 53 | 2016 |
| Task specific local region matching B Babenko, P Dollár, S Belongie 2007 IEEE 11th International Conference on Computer Vision, 1-8, 2007 | 47 | 2007 |
| Poverty mapping using convolutional neural networks trained on high and medium resolution satellite images, with an application in Mexico B Babenko, J Hersh, D Newhouse, A Ramakrishnan, T Swartz arXiv preprint arXiv:1711.06323, 2017 | 46 | 2017 |
| Selectively emphasizing digital content GM Underwood IV, R Balakrishnan, B Babenko, C Lee, B Smith US Patent 10,346,023, 2019 | 45 | 2019 |
| Event-based image classification and scoring B Babenko, NP Welinder US Patent 10,140,517, 2018 | 39 | 2018 |
| A family of online boosting algorithms B Babenko, MH Yang, S Belongie 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV …, 2009 | 33 | 2009 |
| Moving vehicle detection and analysis using low resolution remote sensing imagery AW Kraft, BA Babenko, MA Baxter, SJ Bickerton US Patent 10,255,523, 2019 | 24 | 2019 |
| Robust and efficient medical imaging with self-supervision S Azizi, L Culp, J Freyberg, B Mustafa, S Baur, S Kornblith, T Chen, ... arXiv preprint arXiv:2205.09723, 2022 | 23 | 2022 |
Ming-Hsuan YangUniversity of California at Merced; GoogleVerified email at ucmerced.edu
