Search Results - "multi-modal convolutional sparse coding"

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  1. 1

    Deep Convolutional Neural Network for Multi-Modal Image Restoration and Fusion by Deng, Xin, Dragotti, Pier Luigi

    ISSN: 0162-8828, 1939-3539, 2160-9292, 1939-3539
    Published: United States IEEE 01.10.2021
    “…) and multi-modal image fusion (MIF) problems. Different from other methods based on deep learning, our network architecture is designed by drawing inspirations from a new proposed multi-modal convolutional sparse coding (MCSC) model…”
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    Journal Article
  2. 2

    CU-Net+: Deep Fully Interpretable Network for Multi-Modal Image Restoration by Xu, Jingyi, Deng, Xin, Xu, Mai, Dragotti, Pier Luigi

    ISSN: 2381-8549
    Published: IEEE 19.09.2021
    “… For multi-modal image restoration, one recent method, CU-Net, introduces an interpretable network based on a multi-modal convolutional sparse coding model…”
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    Conference Proceeding
  3. 3

    l0-Regularized Sparse Coding-based Interpretable Network for Multi-Modal Image Fusion by Panda, Gargi, Kundu, Soumitra, Bhattacharya, Saumik, Routray, Aurobinda

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 07.11.2024
    Published in arXiv.org (07.11.2024)
    “… FNet, based on an l0-regularized multi-modal convolutional sparse coding (MCSC) model. Specifically, for solving the l0-regularized CSC problem, we develop an algorithm unrolling-based l0-regularized sparse coding…”
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    Paper
  4. 4

    Learned Multimodal Convolutional Sparse Coding for Guided Image Super-Resolution by Marivani, Iman, Tsiligianni, Evaggelia, Cornelis, Bruno, Deligiannis, Nikos

    ISSN: 2381-8549
    Published: IEEE 01.09.2019
    “…The success of deep learning in various tasks, including solving inverse problems, has triggered the need for designing deep neural networks that incorporate…”
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    Conference Proceeding
  5. 5

    Deep Convolutional Neural Network for Multi-modal Image Restoration and Fusion by Deng, Xin, Dragotti, Pier Luigi

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 09.10.2019
    Published in arXiv.org (09.10.2019)
    “…) and multi-modal image fusion (MIF) problems. Different from other methods based on deep learning, our network architecture is designed by drawing inspirations from a new proposed multi-modal convolutional sparse coding (MCSC) model…”
    Get full text
    Paper
  6. 6

    Joint Image Super-Resolution Via Recurrent Convolutional Neural Networks With Coupled Sparse Priors by Marivani, Iman, Tsiligianni, Evaggelia, Cornelis, Bruno, Deligiannis, Nikos

    ISSN: 2381-8549
    Published: IEEE 01.10.2020
    “… Our network fuses representations of the two image modalities at input layers using a learned multimodal convolutional sparse coding network…”
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    Conference Proceeding