Hyun Oh Song

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Stefanie JegelkaTUM and MITVerified email at mit.edu
Jang-Hyun KimSeoul National UniversityVerified email at snu.ac.kr
Trevor DarrellProfessor of Computer Science, U.C. BerkeleyVerified email at eecs.berkeley.edu
Silvio SavareseAssociate Professor of Computer Science at Stanford UniversityVerified email at stanford.edu
Seungyong MoonSeoul National UniversityVerified email at mllab.snu.ac.kr
Yeonwoo JeongSeoul National UniversityVerified email at mllab.snu.ac.kr
Ross GirshickResearch Scientist, Allen Institute for Artificial Intelligence (AI2)Verified email at allenai.org
Kevin MurphyResearch Scientist, GoogleVerified email at google.com
Vivek RathodSoftware Engineer, GoogleVerified email at google.com
Yu XiangAssistant Professor, University of Texas at DallasVerified email at utdallas.edu
Mario FritzFaculty CISPA Helmholtz Center for Information Security; Professor Saarland UniversityVerified email at cispa.de
Ozan SenerAppleVerified email at cs.stanford.edu
Ashutosh SaxenaFormer Faculty, Computer Science, Cornell University. Stanford UniversityVerified email at cs.stanford.edu
Sergey LevineUC Berkeley, Physical IntelligenceVerified email at eecs.berkeley.edu
Jaekyeom KimLG AI ResearchVerified email at lgresearch.ai
Stefan ZickleriRobot Corp.Verified email at irobot.com
Pedro FelzenszwalbBrown UniversityVerified email at brown.edu
Christopher GeyerBerkshire GreyVerified email at berkshiregrey.com
Julien MairalInria - Univ. Grenoble AlpesVerified email at inria.fr
Zaid HarchaouiUniversity of WashingtonVerified email at uw.edu

Hyun Oh Song

Associate Professor of Computer Science, Seoul National University

Verified email at snu.ac.kr - Homepage

Machine Learning Optimization Deep Learning


Title Sort by citations Sort by year Sort by 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	2013	2016
Puzzle mix: Exploiting saliency and local statistics for optimal mixup JH Kim, W Choo, HO Song International conference on machine learning, 5275-5285, 2020	395	2020
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	378	2017
Learning transferrable representations for unsupervised domain adaptation O Sener, HO Song, A Saxena, S Savarese Advances in neural information processing systems 29, 2016	340	2016
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	290	2014
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	257	2021
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	241	2017
Weakly-supervised discovery of visual pattern configurations HO Song, YJ Lee, S Jegelka, T Darrell Advances in Neural Information Processing Systems 27, 2014	193	2014
Co-mixup: Saliency guided joint mixup with supermodular diversity JH Kim, W Choo, H Jeong, HO Song arXiv preprint arXiv:2102.03065, 2021	182	2021
Parsimonious black-box adversarial attacks via efficient combinatorial optimization S Moon, G An, HO Song International Conference on Machine Learning, 4636-4645, 2019	152	2019
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	126	2022
Emi: Exploration with mutual information H Kim, J Kim, Y Jeong, S Levine, HO Song International Conference on Machine Learning, 3360-3369, 2019	122	2019
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	105	2012
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	66	2015
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	42	2022
Learning discrete and continuous factors of data via alternating disentanglement Y Jeong, HO Song International Conference on Machine Learning, 3091-3099, 2019	42	2019
Discriminatively activated sparselets R Girshick, HO Song, T Darrell International Conference on Machine Learning, 196-204, 2013	33	2013
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	32	2012
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	26	2011
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	25	2014

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