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Honglak Lee

Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples

Feb 23, 2018
Kimin Lee, Honglak Lee, Kibok Lee, Jinwoo Shin

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Learning to Generate Long-term Future via Hierarchical Prediction

Jan 08, 2018
Ruben Villegas, Jimei Yang, Yuliang Zou, Sungryull Sohn, Xunyu Lin, Honglak Lee

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* International Conference on Machine Learning (ICML) 2017

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Decomposing Motion and Content for Natural Video Sequence Prediction

Jan 08, 2018
Ruben Villegas, Jimei Yang, Seunghoon Hong, Xunyu Lin, Honglak Lee

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* International Conference on Learning Representations (ICLR) 2017

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Weakly Supervised Semantic Segmentation using Web-Crawled Videos

Jan 07, 2018
Seunghoon Hong, Donghun Yeo, Suha Kwak, Honglak Lee, Bohyung Han

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* CVPR 2017 (Spotlight)

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Value Prediction Network

Nov 06, 2017
Junhyuk Oh, Satinder Singh, Honglak Lee

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* NIPS 2017

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Exploring the structure of a real-time, arbitrary neural artistic stylization network

Aug 24, 2017
Golnaz Ghiasi, Honglak Lee, Manjunath Kudlur, Vincent Dumoulin, Jonathon Shlens

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* Accepted as an oral presentation at British Machine Vision Conference (BMVC) 2017

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Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision

Aug 13, 2017
Xinchen Yan, Jimei Yang, Ersin Yumer, Yijie Guo, Honglak Lee

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* published at NIPS 2016

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