Seunghoon Hong
Seunghoon Hong
Assistant Professor, KAIST
Verified email at kaist.ac.kr - Homepage
Title
Cited by
Cited by
Year
Learning deconvolution network for semantic segmentation
H Noh, S Hong, B Han
Proceedings of the IEEE international conference on computer vision, 1520-1528, 2015
32112015
The visual object tracking vot2015 challenge results
M Kristan, J Matas, A Leonardis, M Felsberg, L Cehovin, G Fernandez, ...
Proceedings of the IEEE international conference on computer vision …, 2015
12712015
Online tracking by learning discriminative saliency map with convolutional neural network
S Hong, T You, S Kwak, B Han
International conference on machine learning, 597-606, 2015
724*2015
Decomposing motion and content for natural video sequence prediction
R Villegas, J Yang, S Hong, X Lin, H Lee
arXiv preprint arXiv:1706.08033, 2017
3282017
Decoupled deep neural network for semi-supervised semantic segmentation
S Hong, H Noh, B Han
arXiv preprint arXiv:1506.04924, 2015
2952015
Inferring semantic layout for hierarchical text-to-image synthesis
S Hong, D Yang, J Choi, H Lee
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
1762018
Learning transferrable knowledge for semantic segmentation with deep convolutional neural network
S Hong, J Oh, H Lee, B Han
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
1512016
Weakly supervised semantic segmentation using web-crawled videos
S Hong, D Yeo, S Kwak, H Lee, B Han
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
952017
Diversity-sensitive conditional generative adversarial networks
D Yang, S Hong, Y Jang, T Zhao, H Lee
arXiv preprint arXiv:1901.09024, 2019
732019
Weakly supervised semantic segmentation using superpixel pooling network
S Kwak, S Hong, B Han
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
702017
Online graph-based tracking
H Nam, S Hong, B Han
European Conference on Computer Vision, 112-126, 2014
442014
Learning hierarchical semantic image manipulation through structured representations
S Hong, X Yan, T Huang, H Lee
arXiv preprint arXiv:1808.07535, 2018
422018
Joint image clustering and labeling by matrix factorization
S Hong, J Choi, J Feyereisl, B Han, LS Davis
IEEE transactions on pattern analysis and machine intelligence 38 (7), 1411-1424, 2015
332015
Visual tracking by sampling tree-structured graphical models
S Hong, B Han
European Conference on Computer Vision, 1-16, 2014
282014
Weakly supervised learning with deep convolutional neural networks for semantic segmentation: Understanding semantic layout of images with minimum human supervision
S Hong, S Kwak, B Han
IEEE Signal Processing Magazine 34 (6), 39-49, 2017
262017
Orderless tracking through model-averaged posterior estimation
S Hong, S Kwak, B Han
Proceedings of the IEEE International Conference on Computer Vision, 2296-2303, 2013
232013
Adversarial defense via learning to generate diverse attacks
Y Jang, T Zhao, S Hong, H Lee
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
212019
Joint segmentation and pose tracking of human in natural videos
T Lim, S Hong, B Han, JH Han
Proceedings of the IEEE International Conference on Computer Vision, 833-840, 2013
172013
High-fidelity synthesis with disentangled representation
W Lee, D Kim, S Hong, H Lee
European Conference on Computer Vision, 157-174, 2020
152020
Object recognition apparatus and method
B Han, H Seunghoon, NOH Hyeonwoo
US Patent 9,940,539, 2018
122018
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