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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
18332016
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
3612017
Learning transferrable representations for unsupervised domain adaptation
O Sener, HO Song, A Saxena, S Savarese
Advances in neural information processing systems 29, 2016
3282016
Puzzle mix: Exploiting saliency and local statistics for optimal mixup
JH Kim, W Choo, HO Song
International Conference on Machine Learning, 5275-5285, 2020
3092020
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
2882014
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
2292017
Weakly-supervised discovery of visual pattern configurations
HO Song, YJ Lee, S Jegelka, T Darrell
Advances in Neural Information Processing Systems 27, 2014
1942014
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
1812021
Co-mixup: Saliency guided joint mixup with supermodular diversity
JH Kim, W Choo, H Jeong, HO Song
arXiv preprint arXiv:2102.03065, 2021
1422021
Parsimonious black-box adversarial attacks via efficient combinatorial optimization
S Moon, G An, HO Song
International Conference on Machine Learning, 4636-4645, 2019
1382019
Emi: Exploration with mutual information
H Kim, J Kim, Y Jeong, S Levine, HO Song
International Conference on Machine Learning, 3360-3369, 2019
1092019
Sparselet models for efficient multiclass object detection
HO Song, S Zickler, T Althoff, R Girshick, M Fritz, C Geyer, P Felzenszwalb, ...
Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012
1042012
Dataset condensation via efficient synthetic-data parameterization
JH Kim, J Kim, SJ Oh, S Yun, H Song, J Jeong, JW Ha, HO Song
International Conference on Machine Learning, 11102-11118, 2022
752022
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
632015
Learning discrete and continuous factors of data via alternating disentanglement
Y Jeong, HO Song
International Conference on Machine Learning, 3091-3099, 2019
352019
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
322012
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
262014
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
262011
Query-efficient and scalable black-box adversarial attacks on discrete sequential data via bayesian optimization
D Lee, S Moon, J Lee, HO Song
International Conference on Machine Learning, 12478-12497, 2022
232022
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