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Yong Jae Lee
Yong Jae Lee
Associate Professor of Computer Sciences, UW-Madison
Verified email at wisc.edu - Homepage
Title
Cited by
Cited by
Year
YOLACT: Real-time Instance Segmentation
D Bolya, C Zhou, F Xiao, YJ Lee
International Conference on Computer Vision (ICCV), 2019, 2019
13852019
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
8142012
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
639*2017
Key-segments for video object segmentation
YJ Lee, J Kim, K Grauman
2011 International conference on computer vision, 1995-2002, 2011
5912011
Shadowdraw: real-time user guidance for freehand drawing
YJ Lee, CL Zitnick, MF Cohen
ACM Transactions on Graphics (ToG) 30 (4), 1-10, 2011
2882011
Learning the easy things first: Self-paced visual category discovery
YJ Lee, K Grauman
CVPR 2011, 1721-1728, 2011
2422011
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
2112018
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
1972018
Weakly-supervised discovery of visual pattern configurations
HO Song, YJ Lee, S Jegelka, T Darrell
Advances in Neural Information Processing Systems 27, 2014
1912014
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
1692015
Learning to anonymize faces for privacy preserving action detection
Z Ren, YJ Lee, MS Ryoo
Proceedings of the european conference on computer vision (ECCV), 620-636, 2018
1662018
Predicting important objects for egocentric video summarization
YJ Lee, K Grauman
International Journal of Computer Vision 114, 38-55, 2015
1652015
Instance-aware, context-focused, and memory-efficient weakly supervised object detection
Z Ren, Z Yu, X Yang, MY Liu, YJ Lee, AG Schwing, J Kautz
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
1602020
Hplflownet: Hierarchical permutohedral lattice flownet for scene flow estimation on large-scale point clouds
X Gu, Y Wang, C Wu, YJ Lee, P Wang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
1532019
Audiovisual slowfast networks for video recognition
F Xiao, YJ Lee, K Grauman, J Malik, C Feichtenhofer
arXiv preprint arXiv:2001.08740, 2020
1502020
Foreground focus: Unsupervised learning from partially matching images
YJ Lee, K Grauman
International Journal of Computer Vision 85, 143-166, 2009
1432009
Object-graphs for context-aware category discovery
YJ Lee, K Grauman
2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010
1392010
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
1352016
Finegan: Unsupervised hierarchical disentanglement for fine-grained object generation and discovery
KK Singh, U Ojha, YJ Lee
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
1262019
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
1242013
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Articles 1–20