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Hyun Oh Song
Hyun Oh Song
Associate Professor of Computer Science, Seoul National University
Verified email at snu.ac.kr - Homepage
Title
Cited by
Cited by
Year
Deep metric learning via lifted structured feature embedding
HO Song, Y Xiang, S Jegelka, S Savarese
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
13422016
Deep Metric Learning via Facility Location
HO Song, S Jegelka, V Rathod, K Murphy
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017
3082017
Learning transferrable representations for unsupervised domain adaptation
O Sener, HO Song, A Saxena, S Savarese
Advances in neural information processing systems 29, 2016
2742016
On learning to localize objects with minimal supervision
HO Song, R Girshick, S Jegelka, J Mairal, Z Harchaoui, T Darrell
Proceedings of the 31th International Conference on Machine Learning (ICML-14), 2014
2682014
Semantic instance segmentation via deep metric learning
A Fathi, Z Wojna, V Rathod, P Wang, HO Song, S Guadarrama, ...
arXiv preprint arXiv:1703.10277, 2017
2002017
Weakly-supervised discovery of visual pattern configurations
HO Song, YJ Lee, S Jegelka, T Darrell
Advances in Neural Information Processing Systems 27, 2014
1822014
Sparselet models for efficient multiclass object detection
HO Song, S Zickler, T Althoff, R Girshick, M Fritz, C Geyer, P Felzenszwalb, ...
European conference on computer vision, 802-815, 2012
1002012
Puzzle mix: Exploiting saliency and local statistics for optimal mixup
JH Kim, W Choo, HO Song
International Conference on Machine Learning, 5275-5285, 2020
942020
Parsimonious black-box adversarial attacks via efficient combinatorial optimization
S Moon, G An, HO Song
International Conference on Machine Learning, 4636-4645, 2019
922019
Emi: Exploration with mutual information
H Kim, J Kim, Y Jeong, S Levine, HO Song
International Conference on Machine Learning, 3360-3369, 2019
592019
Learning to detect visual grasp affordance
HO Song, M Fritz, D Goehring, T Darrell
IEEE Transactions on Automation Science and Engineering 13 (2), 798-809, 2015
582015
Co-mixup: Saliency guided joint mixup with supermodular diversity
JH Kim, W Choo, H Jeong, HO Song
arXiv preprint arXiv:2102.03065, 2021
352021
Discriminatively activated sparselets
R Girshick, HO Song, T Darrell
International Conference on Machine Learning, 196-204, 2013
332013
Detection bank: an object detection based video representation for multimedia event recognition
T Althoff, HO Song, T Darrell
Proceedings of the 20th ACM international conference on Multimedia, 1065-1068, 2012
332012
Visual grasp affordances from appearance-based cues
HO Song, M Fritz, C Gu, T Darrell
2011 IEEE International Conference on Computer Vision Workshops (ICCV …, 2011
242011
Learning discrete and continuous factors of data via alternating disentanglement
Y Jeong, HO Song
International Conference on Machine Learning, 3091-3099, 2019
232019
Generalized sparselet models for real-time multiclass object recognition
HO Song, R Girshick, S Zickler, C Geyer, P Felzenszwalb, T Darrell
IEEE transactions on pattern analysis and machine intelligence 37 (5), 1001-1012, 2014
222014
Variable thermal resistors (VTR) for thermal management of chip scale atomic clocks (CSAC)
HS Kim, HH Liao, HO Song, TW Kenny
2008 IEEE 21st International Conference on Micro Electro Mechanical Systems …, 2008
172008
Efficient end-to-end learning for quantizable representations
Y Jeong, HO Song
Proceedings of the 35th International Conference on Machine Learning, (ICML …, 2018
122018
Uncertainty-based offline reinforcement learning with diversified q-ensemble
G An, S Moon, JH Kim, HO Song
Advances in neural information processing systems 34, 7436-7447, 2021
102021
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Articles 1–20