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Kihyuk Sohn
Kihyuk Sohn
Research Scientist, Google
Подтвержден адрес электронной почты в домене google.com - Главная страница
Название
Процитировано
Процитировано
Год
Learning structured output representation using deep conditional generative models
K Sohn, H Lee, X Yan
Advances in neural information processing systems 28, 2015
18602015
Improved deep metric learning with multi-class n-pair loss objective
K Sohn
Advances in neural information processing systems, 1857-1865, 2016
11792016
Learning to adapt structured output space for semantic segmentation
YH Tsai, WC Hung, S Schulter, K Sohn, MH Yang, M Chandraker
Proceedings of the IEEE conference on computer vision and pattern …, 2018
8492018
Fixmatch: Simplifying semi-supervised learning with consistency and confidence
K Sohn, D Berthelot, N Carlini, Z Zhang, H Zhang, CA Raffel, ED Cubuk, ...
Advances in Neural Information Processing Systems 33, 596-608, 2020
8392020
Attribute2image: Conditional image generation from visual attributes
X Yan, J Yang, K Sohn, H Lee
European conference on computer vision, 776-791, 2016
7072016
Understanding and improving convolutional neural networks via concatenated rectified linear units
W Shang, K Sohn, D Almeida, H Lee
international conference on machine learning, 2217-2225, 2016
4462016
Remixmatch: Semi-supervised learning with distribution alignment and augmentation anchoring
D Berthelot, N Carlini, ED Cubuk, A Kurakin, K Sohn, H Zhang, C Raffel
arXiv preprint arXiv:1911.09785, 2019
4122019
Towards large-pose face frontalization in the wild
X Yin, X Yu, K Sohn, X Liu, M Chandraker
Proceedings of the IEEE international conference on computer vision, 3990-3999, 2017
2942017
Learning to disentangle factors of variation with manifold interaction
S Reed, K Sohn, Y Zhang, H Lee
International conference on machine learning, 1431-1439, 2014
2472014
Improving object detection with deep convolutional networks via bayesian optimization and structured prediction
Y Zhang, K Sohn, R Villegas, G Pan, H Lee
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
2212015
Augmenting CRFs with Boltzmann machine shape priors for image labeling
A Kae, K Sohn, H Lee, E Learned-Miller
Proceedings of the IEEE conference on computer vision and pattern …, 2013
2072013
Online incremental feature learning with denoising autoencoders
G Zhou, K Sohn, H Lee
Artificial intelligence and statistics, 1453-1461, 2012
2022012
Learning invariant representations with local transformations
K Sohn, H Lee
international conference on machine learning, 2012
1912012
Feature transfer learning for face recognition with under-represented data
X Yin, X Yu, K Sohn, X Liu, M Chandraker
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
185*2019
Improved multimodal deep learning with variation of information
K Sohn, W Shang, H Lee
Advances in neural information processing systems 27, 2014
1812014
Domain adaptation for structured output via discriminative patch representations
YH Tsai, K Sohn, S Schulter, M Chandraker
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
1762019
Efficient learning of sparse, distributed, convolutional feature representations for object recognition
K Sohn, DY Jung, H Lee, AO Hero
2011 International Conference on Computer Vision, 2643-2650, 2011
1602011
Reconstruction-based disentanglement for pose-invariant face recognition
X Peng, X Yu, K Sohn, DN Metaxas, M Chandraker
Proceedings of the IEEE international conference on computer vision, 1623-1632, 2017
1462017
A simple semi-supervised learning framework for object detection
K Sohn, Z Zhang, CL Li, H Zhang, CY Lee, T Pfister
arXiv preprint arXiv:2005.04757, 2020
1282020
Unsupervised domain adaptation for face recognition in unlabeled videos
K Sohn, S Liu, G Zhong, X Yu, MH Yang, M Chandraker
Proceedings of the IEEE International Conference on Computer Vision, 3210-3218, 2017
1212017
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