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Kihyuk Sohn

University of Michigan

Learning and Evaluating Representations for Deep One-class Classification

Nov 04, 2020
Kihyuk Sohn, Chun-Liang Li, Jinsung Yoon, Minho Jin, Tomas Pfister

* preprint 

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i-Mix: A Strategy for Regularizing Contrastive Representation Learning

Oct 17, 2020
Kibok Lee, Yian Zhu, Kihyuk Sohn, Chun-Liang Li, Jinwoo Shin, Honglak Lee


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Improving Face Recognition by Clustering Unlabeled Faces in the Wild

Jul 15, 2020
Aruni RoyChowdhury, Xiang Yu, Kihyuk Sohn, Erik Learned-Miller, Manmohan Chandraker

* ECCV 2020 

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A Simple Semi-Supervised Learning Framework for Object Detection

May 10, 2020
Kihyuk Sohn, Zizhao Zhang, Chun-Liang Li, Han Zhang, Chen-Yu Lee, Tomas Pfister


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Towards Universal Representation Learning for Deep Face Recognition

Feb 26, 2020
Yichun Shi, Xiang Yu, Kihyuk Sohn, Manmohan Chandraker, Anil K. Jain

* to appear in CVPR 2020 

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FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence

Jan 21, 2020
Kihyuk Sohn, David Berthelot, Chun-Liang Li, Zizhao Zhang, Nicholas Carlini, Ekin D. Cubuk, Alex Kurakin, Han Zhang, Colin Raffel


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Adversarial Learning of Privacy-Preserving and Task-Oriented Representations

Nov 22, 2019
Taihong Xiao, Yi-Hsuan Tsai, Kihyuk Sohn, Manmohan Chandraker, Ming-Hsuan Yang

* AAAI 2020 

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ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring

Nov 21, 2019
David Berthelot, Nicholas Carlini, Ekin D. Cubuk, Alex Kurakin, Kihyuk Sohn, Han Zhang, Colin Raffel


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Adaptation Across Extreme Variations using Unlabeled Domain Bridges

Jun 05, 2019
Shuyang Dai, Kihyuk Sohn, Yi-Hsuan Tsai, Lawrence Carin, Manmohan Chandraker


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Active Adversarial Domain Adaptation

Apr 16, 2019
Jong-Chyi Su, Yi-Hsuan Tsai, Kihyuk Sohn, Buyu Liu, Subhransu Maji, Manmohan Chandraker


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Domain Adaptation for Structured Output via Discriminative Patch Representations

Jan 17, 2019
Yi-Hsuan Tsai, Kihyuk Sohn, Samuel Schulter, Manmohan Chandraker


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Feature Transfer Learning for Deep Face Recognition with Long-Tail Data

Mar 23, 2018
Xi Yin, Xiang Yu, Kihyuk Sohn, Xiaoming Liu, Manmohan Chandraker


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Channel-Recurrent Autoencoding for Image Modeling

Mar 11, 2018
Wenling Shang, Kihyuk Sohn, Yuandong Tian

* Code: https://github.com/WendyShang/crVAE. Supplementary Materials: http://www-personal.umich.edu/~shangw/wacv18_supplementary_material.pdf 

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Joint Pixel and Feature-level Domain Adaptation in the Wild

Feb 28, 2018
Luan Tran, Kihyuk Sohn, Xiang Yu, Xiaoming Liu, Manmohan Chandraker

* This work was submitted to CVPR 2018 

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Learning to Adapt Structured Output Space for Semantic Segmentation

Feb 28, 2018
Yi-Hsuan Tsai, Wei-Chih Hung, Samuel Schulter, Kihyuk Sohn, Ming-Hsuan Yang, Manmohan Chandraker

* Accepted in CVPR'18. Code and model are available at https://github.com/wasidennis/AdaptSegNet 

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Towards Large-Pose Face Frontalization in the Wild

Aug 17, 2017
Xi Yin, Xiang Yu, Kihyuk Sohn, Xiaoming Liu, Manmohan Chandraker

* To appear at ICCV2017. Details refer to http://cvlab.cse.msu.edu/project-face-frontalization.html 

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Unsupervised Domain Adaptation for Face Recognition in Unlabeled Videos

Aug 07, 2017
Kihyuk Sohn, Sifei Liu, Guangyu Zhong, Xiang Yu, Ming-Hsuan Yang, Manmohan Chandraker

* accepted for publication at International Conference on Computer Vision (ICCV) 2017 

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Attribute2Image: Conditional Image Generation from Visual Attributes

Oct 08, 2016
Xinchen Yan, Jimei Yang, Kihyuk Sohn, Honglak Lee

* 19 pages, accepted by ECCV 2016, The 14th European Conference on Computer Vision (2016) 

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Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units

Jul 19, 2016
Wenling Shang, Kihyuk Sohn, Diogo Almeida, Honglak Lee

* ICML 2016 

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Improving Object Detection with Deep Convolutional Networks via Bayesian Optimization and Structured Prediction

Jan 14, 2016
Yuting Zhang, Kihyuk Sohn, Ruben Villegas, Gang Pan, Honglak Lee

* CVPR 2015 

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Learning Invariant Representations with Local Transformations

Jun 27, 2012
Kihyuk Sohn, Honglak Lee

* Appears in Proceedings of the 29th International Conference on Machine Learning (ICML 2012) 

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