Sung Ju Hwang - Google Scholar

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	All	Since 2015
Citations	1440	1279
h-index	18	18
i10-index	23	23

380

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285

201120122013201420152016201720182019202012 26 46 76 91 128 119 206 371 359

Co-authors

Jaehong YoonKAISTVerified email at kaist.ac.kr
Kristen GraumanProfessor of Computer Science, University of Texas at AustinVerified email at cs.utexas.edu
Saehoon KimAI Research Scientist, Kakao BrainVerified email at kakaobrain.com
Leonid SigalAssociate Professor, University of British ColumbiaVerified email at cs.ubc.ca
Fei ShaAssociate Professor of Computer Science, U. of Southern CaliforniaVerified email at usc.edu
Juho LeeAssistant professor, KAISTVerified email at kaist.ac.kr
Alina KuznetsovaGoogle AIVerified email at google.com
Bodo RosenhahnLeibniz Universität HannoverVerified email at tnt.uni-hannover.de
Changkyu ChoiVice President, Samsung Advanced Institute of TechnologyVerified email at samsung.com
ChangYong SonPrincipal Researcher, Samsung Advanced Institute of TechnologyVerified email at samsung.com
Yanbin LiuUniversity of Technology SydneyVerified email at student.uts.edu.au
Yi YangUniversity of Technology SydneyVerified email at uts.edu.au
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
Jonghyun ChoiResearch Scientist at AI2Verified email at umd.edu
Yookoon ParkColumbia UniversityVerified email at columbia.edu
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
Yu-Gang JiangProfessor, Computer Science, Fudan University, ShanghaiVerified email at fudan.edu.cn

Sung Ju Hwang

KAIST, AITRICS

Verified email at kaist.ac.kr - Homepage

machine learning computer vision


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	208	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	122	2018
Sharing features between objects and their attributes SJ Hwang, F Sha, K Grauman CVPR 2011, 1761-1768, 2011	121	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	118	2012
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	106	2011
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 Conference on Computer Vision and Pattern …, 2019	81*	2019
Combined group and exclusive sparsity for deep neural networks J Yoon, SJ Hwang International Conference on Machine Learning, 3958-3966, 2017	71	2017
Learning a Tree of Metrics with Disjoint Visual Features SJ Hwang, K Grauman, F Sha	70*
Accounting for the relative importance of objects in image retrieval. SJ Hwang, K Grauman BMVC 1 (2), 5, 2010	64	2010
Asymmetric multi-task learning based on task relatedness and loss G Lee, E Yang, S Hwang International Conference on Machine Learning, 230-238, 2016	54	2016
A unified semantic embedding: Relating taxonomies and attributes SJ Hwang, L Sigal Advances in Neural Information Processing Systems, 271-279, 2014	49	2014
Semantic Kernel Forests from Multiple Taxonomies SJ Hwang, K Grauman, F Sha Advances in Neural Information Processing Systems, 1727-1735, 2012	45	2012
Expanding Object Detector's Horizon: Incremental Learning Framework for Object Detection in Videos A Kuznetsova, SJ Hwang, B Rosenhahn, L Sigal Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015	41	2015
Context-based automatic local image enhancement SJ Hwang, A Kapoor, SB Kang European conference on computer vision, 569-582, 2012	41	2012
Analogy-preserving semantic embedding for visual object categorization SJ Hwang, K Grauman, F Sha International Conference on Machine Learning, 639-647, 2013	38	2013
Taxonomy-regularized semantic deep convolutional neural networks W Goo, J Kim, G Kim, SJ Hwang European Conference on Computer Vision, 86-101, 2016	23	2016
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, 909-918, 2018	21	2018
Joint active feature acquisition and classification with variable-size set encoding H Shim, SJ Hwang, E Yang Advances in neural information processing systems, 1368-1378, 2018	18*	2018
SplitNet: Learning to semantically split deep networks for parameter reduction and model parallelization J Kim, Y Park, G Kim, SJ Hwang International Conference on Machine Learning, 1866-1874, 2017	18	2017
Learning what and where to transfer Y Jang, H Lee, SJ Hwang, J Shin arXiv preprint arXiv:1905.05901, 2019	15	2019

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