| Discovering Important People and Objects for Egocentric Video Summarization YJ Lee, J Ghosh, K Grauman Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on, 2012 | 662 | 2012 |
| Key-segments for video object segmentation YJ Lee, J Kim, K Grauman 2011 International conference on computer vision, 1995-2002, 2011 | 535 | 2011 |
| Hide-and-seek: Forcing a network to be meticulous for weakly-supervised object and action localization KK Singh, YJ Lee 2017 IEEE International Conference on Computer Vision (ICCV), 3544-3553, 2017 | 254 | 2017 |
| Shadowdraw: real-time user guidance for freehand drawing YJ Lee, CL Zitnick, MF Cohen ACM Transactions on Graphics (TOG) 30 (4), 1-10, 2011 | 239 | 2011 |
| Learning the easy things first: Self-paced visual category discovery YJ Lee, K Grauman CVPR 2011, 1721-1728, 2011 | 207 | 2011 |
| YOLACT: Real-time Instance Segmentation D Bolya, C Zhou, F Xiao, YJ Lee International Conference on Computer Vision (ICCV), 2019, 2019 | 185 | 2019 |
| Weakly-supervised discovery of visual pattern configurations HO Song, YJ Lee, S Jegelka, T Darrell arXiv preprint arXiv:1406.6507, 2014 | 155 | 2014 |
| Predicting important objects for egocentric video summarization YJ Lee, K Grauman International Journal of Computer Vision 114 (1), 38-55, 2015 | 134 | 2015 |
| Flowweb: Joint image set alignment by weaving consistent, pixel-wise correspondences T Zhou, Y Jae Lee, SX Yu, AA Efros Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 133 | 2015 |
| Foreground focus: Unsupervised learning from partially matching images YJ Lee, K Grauman International Journal of Computer Vision 85 (2), 143-166, 2009 | 129 | 2009 |
| Object-graphs for context-aware category discovery YJ Lee, K Grauman 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 125 | 2010 |
| Style-aware mid-level representation for discovering visual connections in space and time Y Jae Lee, AA Efros, M Hebert Proceedings of the IEEE international conference on computer vision, 1857-1864, 2013 | 112 | 2013 |
| Cross-domain self-supervised multi-task feature learning using synthetic imagery Z Ren, YJ Lee Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 104 | 2018 |
| Track and segment: An iterative unsupervised approach for video object proposals F Xiao, Y Jae Lee Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 103 | 2016 |
| Shape discovery from unlabeled image collections YJ Lee, K Grauman 2009 IEEE Conference on Computer Vision and Pattern Recognition, 2254-2261, 2009 | 81 | 2009 |
| Video object detection with an aligned spatial-temporal memory F Xiao, Y Jae Lee Proceedings of the European Conference on Computer Vision (ECCV), 485-501, 2018 | 75 | 2018 |
| Weakly-supervised visual grounding of phrases with linguistic structures F Xiao, L Sigal, Y Jae Lee Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 75 | 2017 |
| End-to-end localization and ranking for relative attributes KK Singh, YJ Lee European Conference on Computer Vision, 753-769, 2016 | 73 | 2016 |
| Object-graphs for context-aware visual category discovery YJ Lee, K Grauman IEEE Transactions on Pattern Analysis and Machine Intelligence 34 (2), 346-358, 2012 | 69 | 2012 |
| Track and transfer: Watching videos to simulate strong human supervision for weakly-supervised object detection KK Singh, F Xiao, YJ Lee Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 59 | 2016 |
Kristen GraumanProfessor of Computer Science, University of Texas at AustinVerified email at cs.utexas.edu
