• Learning Gibbs-Regularized Pushforward Density Estimators with a Symmetric KL Objective

    BayLearn Symposium 2018, Menlo Park, CA USA
    PP 1-3, 2018

    Nicholas Rhinehart, Anqi Liu, Kihyuk Sohn, Paul Vernaza
  • Unsupervised Cross Domain Distance Metric Adaptation with Feature Transfer Network

    BayLearn Symposium 2018, Menlo Park, CA USA
    pp 1-13, 2018

    Kihyuk Sohn, Wenling Shang, Xiang Yu, Manmohan Chandraker
  • Learning to Adapt Structured Output Space for Semantic Segmentation

    Conference on Computer Vision and Pattern Recognition (CVPR) 2018, Salt Lake City, UT USA
    pp 7472-7481

    Yi-Hsuan Tsai, Wei-Chih Hung, Samuel Schulter, Kihyuk Sohn, Ming-Hsuan Yang, Manmohan Chandraker
  • Channel-Recurrent Autoencoding for Image Modeling

    WACV 2018, Lake Tahoe, Nevada USA
    pp 1195-1204, 2018

    Wenling Shang , Kihyuk Sohn , Yuandong Tian
  • Towards Large-Pose Face Frontalization in the Wild

    ICCV 2017, Venice, Italy
    pp 3990-3999, 2017

    Xi Yin, Xiang Yu, Kihyuk Sohn, Xiaoming Liu, Manmohan Chandraker
  • Reconstruction-Based Disentanglement for Pose-invariant Face Recognition

    ICCV 2017, Venice, Italy
    pp 1623-1632, 2017

    Xi Peng, Xiang Yu, Kihyuk Sohn, Dimitris N. Metaxas, Manmohan Chandraker
  • Unsupervised Domain Adaptation for Face Recognition in Unlabeled Videos

    ICCV 2017, Venice, Italy
    pp 3210-3218, 2017

    Kihyuk Sohn, Sifei Liu, Guangyu Zhong, Xiang Yu, Ming-Hsuan Yang, Manmohan Chandraker
  • Exploring Normalization in Deep Residual Networks with Concatenated Rectified Linear Units

    AAAI-17 Thirty-First AAAI Conference on Artificial Intelligence, San Francisco, California USA
    pp 1509-1516, 2017

    Wenling Shang , Justin Chiu , Kihyuk Sohn
  • Improved Deep Metric Learning with Multi-class N-pair Loss Objective

    Proceedings of NIPS 2016, Barcelona SPAIN
    pp 1-9, 2016

    Kihyuk Sohn
  • Attribute2Image: Conditional Image Generation from Visual Attributes

    Proceedings of The 14th European Conference on Computer Vision (ECCV 2016)
    pp. 776-791, 2016

    Xinchen Yan, Jimei Yang, Kihyuk Sohn, Honglak Lee
  • Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units

    International Conference on Machine Learning, ICML 2016, New York City, NY, USA
    Vol. 48: pp 1-9, 2016

    Wenling Shang, Kihyuk Sohn, Diogo Almeida, Honglak Lee
  • Learning Structured Output Representation using Deep Conditional Generative Models

    Proceedings of NIPS 2015
    pp. 3465-3473, 2015

    Kihyuk Sohn, Xinchen Yan, Honglak Lee