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An Efficient Mixture of Deep and Machine Learning Models for COVID-19 and Tuberculosis Detection Using X-Ray Images in Resource Limited Settings

Jul 16, 2020
Ali H. Al-Timemy, Rami N. Khushaba, Zahraa M. Mosa, Javier Escudero

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Attentive Group Equivariant Convolutional Networks

Feb 24, 2020
David W. Romero, Erik J. Bekkers, Jakub M. Tomczak, Mark Hoogendoorn

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Detecting cutaneous basal cell carcinomas in ultra-high resolution and weakly labelled histopathological images

Nov 19, 2019
Susanne Kimeswenger, Elisabeth Rumetshofer, Markus Hofmarcher, Philipp Tschandl, Harald Kittler, Sepp Hochreiter, Wolfram Hötzenecker, Günter Klambauer

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Learning to Simulate Dynamic Environments with GameGAN

May 25, 2020
Seung Wook Kim, Yuhao Zhou, Jonah Philion, Antonio Torralba, Sanja Fidler

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Slope Difference Distribution and Its Computer Vision Applications

Oct 13, 2019
Zhenzhou Wang

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Effective and Robust Detection of Adversarial Examples via Benford-Fourier Coefficients

May 12, 2020
Chengcheng Ma, Baoyuan Wu, Shibiao Xu, Yanbo Fan, Yong Zhang, Xiaopeng Zhang, Zhifeng Li

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Optimization of Clustering for Clustering-based Image Denoising

Oct 28, 2013
Mohsen Joneidi, Mostafa Sadeghi

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MakeItTalk: Speaker-Aware Talking-Head Animation

Apr 27, 2020
Yang Zhou, DIngzeyu Li, Xintong Han, Evangelos Kalogerakis, Eli Shechtman, Jose Echevarria

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Learned reconstructions for practical mask-based lensless imaging

Aug 30, 2019
Kristina Monakhova, Joshua Yurtsever, Grace Kuo, Nick Antipa, Kyrollos Yanny, Laura Waller

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Learning High-fidelity Light Field Images From Hybrid Inputs

Jul 23, 2019
Jing Jin, Junhui Hou, Jie Chen, Sam Kwong, Jingyi Yu

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