Call for papers:

Topics of LCI 2021 workshop include various aspects of computational imaging and machine learning, including, but not limited to

  1. Novel Learning-Driven Computational Imaging Systems:

    • Smart imaging systems with end-to-end learning

    • Learned data acquisition, Blind compressed sensing, etc.

    • Task-driven imaging system design, Optimal design of experiments, etc.

  2. Learning-based Modeling and Algorithms for Imaging:

    • Deep learning approaches and architectures

    • Sparse and low-rank modeling: Dictionary learning, Transform learning, Manifold learning, Unrolled architectures, etc.

    • Graphical models, Tensor models, Online learning, Plug-and-play models, Bayesian methods, etc.

  3. Learning Theory for Computational Imaging:

    • Performance guarantees for learning-based methods, Convergence analysis of learning algorithms, Generative model recovery analysis, etc.

    • Analysis of deep architectures, Theory for large-scale and distributed algorithms, etc.

  4. Computational Imaging Applications:

    • Magnetic resonance imaging (MRI), Radar imaging, Lidar, Computed tomography (CT), Microscopy, Ultrasound, Hyperspectral imaging, Hybrid imaging, Computational photography, Neuroimaging, Dynamic imaging, Super-resolution, Inpainting, etc.

    • Novel / Extreme imaging modalities and applications.

  5. Ethics and Social Impacts of Learning for Computational Imaging:

    • Ethics and impacts of machine learning in applications

    • Privacy aspects (e.g., of using medical images or in security applications); Fairness questions.

    • Ethical, moral, and legal implications in biomedical imaging, healthcare, etc.

Submission Guideline:

Please submit your papers to [ https://cmt3.research.microsoft.com/LCIICCV2021 ]

The tentative Submission Deadline is July 10, 2021 (11:59 PM Pacific Time)


Papers are limited to eight pages, including figures and tables, in the ICCV style. Additional pages containing only cited references are allowed. Please refer to the following files used for ICCV regular papers for detailed formatting instructions:

  • Example submission paper with detailed instructions Download

  • LaTeX Templates (zip): iccv2021AuthorKit.zip Download

For LCI workshop papers, authors should replace "ICCV" with "ICCV Workshop" in latex template. All submissions will go through peer review using CMT.

Different from ICCV main conference, LCI won't have a rebuttal procedure.

The LCI workshop proceedings will be archived in the IEEE Xplore Digital Library and the CVF Open Acess.