Sung Ju Hwang

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Jaehong YoonPh.D. student, KAISTVerified email at kaist.ac.kr
Juho LeeAssistant professor, KAISTVerified email at kaist.ac.kr
Saehoon KimAI Researcher, Kakao BrainVerified email at kakaobrain.com
Kristen GraumanProfessor of Computer Science, University of Texas at AustinVerified email at cs.utexas.edu
Leonid SigalAssociate Professor, University of British ColumbiaVerified email at cs.ubc.ca
ChangYong SonPrincipal Researcher, Samsung Advanced Institute of TechnologyVerified email at samsung.com
Changkyu ChoiExecutive Vice President, Samsung Advanced Institute of TechnologyVerified email at samsung.com
Alina KuznetsovaGoogle ResearchVerified email at google.com
Yanbin LiuUniversity of Western AustraliaVerified email at uwa.edu.au
Yi YangZhejiang UniversityVerified email at zju.edu.cn
Bodo RosenhahnLeibniz Universität HannoverVerified email at tnt.uni-hannover.de
Gunhee KimAssociate Professor, Seoul National UniversityVerified email at snu.ac.kr
Wonjoon GooUniversity of Texas at AustinVerified email at cs.utexas.edu
Ashish KapoorPartner Research Manager, Microsoft RedmondVerified email at microsoft.com
Joonyoung YiHyperconnect Machine Learning EngineerVerified email at kaist.ac.kr
Yookoon ParkColumbia UniversityVerified email at columbia.edu
Jonghyun ChoiAssociate Professor, Yonsei University / AI2Verified email at yonsei.ac.kr
Yanwei FuFudan UniversityVerified email at fudan.edu.cn
Larry DavisProfessor of Computer Science, University of MarylandVerified email at cs.umd.edu
Xiangyang XueProfessor of Computer Science, Fudan UniversityVerified email at fudan.edu.cn

Sung Ju Hwang

KAIST, AITRICS

Verified email at kaist.ac.kr - Homepage

Machine learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Lifelong learning with dynamically expandable networks J Yoon, E Yang, J Lee, SJ Hwang arXiv preprint arXiv:1708.01547, 2017	571	2017
Learning to propagate labels: Transductive propagation network for few-shot learning Y Liu, J Lee, M Park, S Kim, E Yang, SJ Hwang, Y Yang arXiv preprint arXiv:1805.10002, 2018	447	2018
Learning to quantize deep networks by optimizing quantization intervals with task loss S Jung, C Son, S Lee, J Son, JJ Han, Y Kwak, SJ Hwang, C Choi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	232*	2019
Sharing features between objects and their attributes SJ Hwang, F Sha, K Grauman CVPR 2011, 1761-1768, 2011	147	2011
Learning the relative importance of objects from tagged images for retrieval and cross-modal search SJ Hwang, K Grauman International journal of computer vision 100 (2), 134-153, 2012	137	2012
Combined group and exclusive sparsity for deep neural networks J Yoon, SJ Hwang International Conference on Machine Learning, 3958-3966, 2017	122	2017
Reading between the lines: Object localization using implicit cues from image tags SJ Hwang, K Grauman IEEE transactions on pattern analysis and machine intelligence 34 (6), 1145-1158, 2011	121	2011
Asymmetric multi-task learning based on task relatedness and loss G Lee, E Yang, S Hwang International conference on machine learning, 230-238, 2016	85	2016
Self-supervised label augmentation via input transformations H Lee, SJ Hwang, J Shin International Conference on Machine Learning, 5714-5724, 2020	83*	2020
Learning a Tree of Metrics with Disjoint Visual Features SJ Hwang, K Grauman, F Sha	82*
Accounting for the relative importance of objects in image retrieval. SJ Hwang, K Grauman BMVC 1 (2), 5, 2010	80	2010
Learning what and where to transfer Y Jang, H Lee, SJ Hwang, J Shin International Conference on Machine Learning, 3030-3039, 2019	72	2019
Adversarial self-supervised contrastive learning M Kim, J Tack, SJ Hwang Advances in Neural Information Processing Systems 33, 2983-2994, 2020	68	2020
Learning to balance: Bayesian meta-learning for imbalanced and out-of-distribution tasks HB Lee, H Lee, D Na, S Kim, M Park, E Yang, SJ Hwang arXiv preprint arXiv:1905.12917, 2019	61	2019
Uncertainty-aware attention for reliable interpretation and prediction J Heo, HB Lee, S Kim, J Lee, KJ Kim, E Yang, SJ Hwang Advances in neural information processing systems 31, 2018	61	2018
A unified semantic embedding: Relating taxonomies and attributes SJ Hwang, L Sigal Advances in Neural Information Processing Systems 27, 2014	59	2014
Context-based automatic local image enhancement SJ Hwang, A Kapoor, SB Kang European conference on computer vision, 569-582, 2012	58	2012
Semantic Kernel Forests from Multiple Taxonomies SJ Hwang, K Grauman, F Sha Advances in Neural Information Processing Systems, 1727-1735, 2012	53	2012
Federated semi-supervised learning with inter-client consistency & disjoint learning W Jeong, J Yoon, E Yang, SJ Hwang arXiv preprint arXiv:2006.12097, 2020	52	2020
Joint active feature acquisition and classification with variable-size set encoding H Shim, SJ Hwang, E Yang Advances in neural information processing systems 31, 2018	50*	2018

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