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Towards IID representation learning and its application on biomedical data


Mar 01, 2022
Jiqing Wu, Inti Zlobec, Maxime Lafarge, Yukun He, Viktor H. Koelzer

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* The paper is accepted by MIDL 2022--full paper track 

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Automated causal inference in application to randomized controlled clinical trials


Jan 20, 2022
Jiqing Wu, Nanda Horeweg, Marco de Bruyn, Remi A. Nout, Ina M. Jürgenliemk-Schulz, Ludy C. H. W. Lutgens, Jan J. Jobsen, Elzbieta M. van der Steen-Banasik, Hans W. Nijman, Vincent T. H. B. M. Smit, Tjalling Bosse, Carien L. Creutzberg, Viktor H. Koelzer

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* Submitted to Nature Machine Intelligence. The code is publicly available via https://github.com/CTPLab/AutoCI 

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Divide-and-Conquer Adversarial Learning for High-Resolution Image and Video Enhancement


Oct 23, 2019
Zhiwu Huang, Danda Pani Paudel, Guanju Li, Jiqing Wu, Radu Timofte, Luc Van Gool

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Sliced Wasserstein Generative Models


Apr 13, 2019
Jiqing Wu, Zhiwu Huang, Dinesh Acharya, Wen Li, Janine Thoma, Danda Pani Paudel, Luc Van Gool

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* This paper is submitted to arxiv twice, thus withdraw one of the versions. See arXiv:1706.02631 instead 

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Wasserstein Divergence for GANs


Sep 05, 2018
Jiqing Wu, Zhiwu Huang, Janine Thoma, Dinesh Acharya, Luc Van Gool

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* accepted by eccv_2018, correct minor errors 

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Building Deep Networks on Grassmann Manifolds


Jan 29, 2018
Zhiwu Huang, Jiqing Wu, Luc Van Gool

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* AAAI'18 paper 

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Manifold-valued Image Generation with Wasserstein Adversarial Networks


Dec 05, 2017
Zhiwu Huang, Jiqing Wu, Luc Van Gool

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Face Translation between Images and Videos using Identity-aware CycleGAN


Dec 04, 2017
Zhiwu Huang, Bernhard Kratzwald, Danda Pani Paudel, Jiqing Wu, Luc Van Gool

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