Ikuti
Kihyuk Sohn
Kihyuk Sohn
Research Scientist, Meta Reality Labs
Email yang diverifikasi di meta.com - Beranda
Judul
Dikutip oleh
Dikutip oleh
Tahun
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
42462020
Learning structured output representation using deep conditional generative models
K Sohn, H Lee, X Yan
Advances in neural information processing systems 28, 2015
40012015
Improved deep metric learning with multi-class n-pair loss objective
K Sohn
Advances in neural information processing systems, 1857-1865, 2016
27212016
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
18762018
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
13682019
Cutpaste: Self-supervised learning for anomaly detection and localization
CL Li, K Sohn, J Yoon, T Pfister
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
10382021
Attribute2image: Conditional image generation from visual attributes
X Yan, J Yang, K Sohn, H Lee
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
9032016
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
6802016
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
5822020
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
4282017
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
4152019
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
4072019
Crest: A class-rebalancing self-training framework for imbalanced semi-supervised learning
C Wei, K Sohn, C Mellina, A Yuille, F Yang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
3352021
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
2932014
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
2802015
Online incremental feature learning with denoising autoencoders
G Zhou, K Sohn, H Lee
Artificial intelligence and statistics, 1453-1461, 2012
2802012
Learning and evaluating representations for deep one-class classification
K Sohn, CL Li, J Yoon, M Jin, T Pfister
arXiv preprint arXiv:2011.02578, 2020
2592020
Learning invariant representations with local transformations
K Sohn, H Lee
international conference on machine learning, 2012
2442012
Language Model Beats Diffusion--Tokenizer is Key to Visual Generation
L Yu, J Lezama, NB Gundavarapu, L Versari, K Sohn, D Minnen, Y Cheng, ...
arXiv preprint arXiv:2310.05737, 2023
2362023
Improved multimodal deep learning with variation of information
K Sohn, W Shang, H Lee
Advances in neural information processing systems 27, 2014
2312014
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