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NVIDIA SimNet^{TM}: an AI-accelerated multi-physics simulation framework

Dec 14, 2020
Oliver Hennigh, Susheela Narasimhan, Mohammad Amin Nabian, Akshay Subramaniam, Kaustubh Tangsali, Max Rietmann, Jose del Aguila Ferrandis, Wonmin Byeon, Zhiwei Fang, Sanjay Choudhry


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Displacement-Invariant Cost Computation for Efficient Stereo Matching

Dec 01, 2020
Yiran Zhong, Charles Loop, Wonmin Byeon, Stan Birchfield, Yuchao Dai, Kaihao Zhang, Alexey Kamenev, Thomas Breuel, Hongdong Li, Jan Kautz

* 8 pages 

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Convolutional Tensor-Train LSTM for Spatio-temporal Learning

Mar 22, 2020
Jiahao Su, Wonmin Byeon, Furong Huang, Jan Kautz, Animashree Anandkumar

* Jiahao Su and Wonmin Byeon contributed equally to this work. 17 pages, 14 figures 

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Boosting segmentation with weak supervision from image-to-image translation

Apr 04, 2019
Eugene Vorontsov, Pavlo Molchanov, Wonmin Byeon, Shalini De Mello, Varun Jampani, Ming-Yu Liu, Samuel Kadoury, Jan Kautz


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ContextVP: Fully Context-Aware Video Prediction

Sep 09, 2018
Wonmin Byeon, Qin Wang, Rupesh Kumar Srivastava, Petros Koumoutsakos

* 19 pages. ECCV 2018 oral presentation. Project webpage is at https://wonmin-byeon.github.io/publication/2018-eccv 

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Data-Driven Forecasting of High-Dimensional Chaotic Systems with Long Short-Term Memory Networks

Jul 10, 2018
Pantelis R. Vlachas, Wonmin Byeon, Zhong Y. Wan, Themistoklis P. Sapsis, Petros Koumoutsakos

* 31 pages 

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Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation

Jun 24, 2015
Marijn F. Stollenga, Wonmin Byeon, Marcus Liwicki, Juergen Schmidhuber

* Marijn F. Stollenga and Wonmin Byeon are the shared first authors, both authors contributed equally to this work 

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