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Ke Yu

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Context-aware Self-supervised Learning for Medical Images Using Graph Neural Network

Jul 06, 2022
Li Sun, Ke Yu, Kayhan Batmanghelich

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Boosting the interpretability of clinical risk scores with intervention predictions

Jul 06, 2022
Eric Loreaux, Ke Yu, Jonas Kemp, Martin Seneviratne, Christina Chen, Subhrajit Roy, Ivan Protsyuk, Natalie Harris, Alexander D'Amour, Steve Yadlowsky, Ming-Jun Chen

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Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest X-rays

Jun 25, 2022
Ke Yu, Shantanu Ghosh, Zhexiong Liu, Christopher Deible, Kayhan Batmanghelich

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ReconfigISP: Reconfigurable Camera Image Processing Pipeline

Sep 10, 2021
Ke Yu, Zexian Li, Yue Peng, Chen Change Loy, Jinwei Gu

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Can contrastive learning avoid shortcut solutions?

Jun 21, 2021
Joshua Robinson, Li Sun, Ke Yu, Kayhan Batmanghelich, Stefanie Jegelka, Suvrit Sra

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Context Matters: Graph-based Self-supervised Representation Learning for Medical Images

Dec 11, 2020
Li Sun, Ke Yu, Kayhan Batmanghelich

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BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond

Dec 03, 2020
Kelvin C. K. Chan, Xintao Wang, Ke Yu, Chao Dong, Chen Change Loy

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Understanding Deformable Alignment in Video Super-Resolution

Sep 15, 2020
Kelvin C. K. Chan, Xintao Wang, Ke Yu, Chao Dong, Chen Change Loy

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Hierarchical Amortized Training for Memory-efficient High Resolution 3D GAN

Aug 05, 2020
Li Sun, Junxiang Chen, Yanwu Xu, Mingming Gong, Ke Yu, Kayhan Batmanghelich

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Semi-Supervised Hierarchical Drug Embedding in Hyperbolic Space

Jun 01, 2020
Ke Yu, Shyam Visweswaran, Kayhan Batmanghelich

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