Sung Ju Hwang
Sung Ju Hwang
KAIST, AITRICS
Verified email at kaist.ac.kr - Homepage
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
2932017
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
1892018
Sharing features between objects and their attributes
SJ Hwang, F Sha, K Grauman
CVPR 2011, 1761-1768, 2011
1262011
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
1212012
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
119*2019
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
1082011
Combined group and exclusive sparsity for deep neural networks
J Yoon, SJ Hwang
International Conference on Machine Learning, 3958-3966, 2017
852017
Learning a Tree of Metrics with Disjoint Visual Features
SJ Hwang, K Grauman, F Sha
74*
Asymmetric multi-task learning based on task relatedness and loss
G Lee, E Yang, S Hwang
International Conference on Machine Learning, 230-238, 2016
662016
Accounting for the relative importance of objects in image retrieval.
SJ Hwang, K Grauman
BMVC 1 (2), 5, 2010
662010
A unified semantic embedding: Relating taxonomies and attributes
SJ Hwang, L Sigal
Advances in Neural Information Processing Systems 27, 271-279, 2014
522014
Semantic Kernel Forests from Multiple Taxonomies
SJ Hwang, K Grauman, F Sha
Advances in Neural Information Processing Systems, 1727-1735, 2012
462012
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
452015
Context-based automatic local image enhancement
SJ Hwang, A Kapoor, SB Kang
European conference on computer vision, 569-582, 2012
442012
Analogy-preserving semantic embedding for visual object categorization
SJ Hwang, K Grauman, F Sha
International Conference on Machine Learning, 639-647, 2013
422013
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
352018
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
34*2018
Learning what and where to transfer
Y Jang, H Lee, SJ Hwang, J Shin
arXiv preprint arXiv:1905.05901, 2019
272019
Taxonomy-regularized semantic deep convolutional neural networks
W Goo, J Kim, G Kim, SJ Hwang
European Conference on Computer Vision, 86-101, 2016
252016
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
242017
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Articles 1–20