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12 juillet 2019

Learning for Computational Imaging: LCI @ ICCV19


Catégorie : Conférence internationale


LCI @ ICCV19 - Call for Papers

Learning for Computational Imaging (LCI) Workshop: Sensing, Reconstruction, and Analysis

Seoul, Korea – Nov. 2, 2019

In conjunction with ICCV 2019 – International Conference on Computer Vision

Website: https://sites.google.com/view/iccv-lci2019/home

Call For Papers: https://sites.google.com/view/iccv-lci2019/call-for-papers

Submission website: https://cmt3.research.microsoft.com/LCI2019

Important Dates

  • Paper Submission Deadline: July 15, 2019 July 28, 2019 (11:59 PM PST)
  • Extended Abstract Submission: August 5, 2019 (11:59 PM PST)
  • Author Notification Date: August 20, 2019 (11:59 PM PST)
  • Camera-ready Deadline: August 30, 2019 (11:59 PM PST)

LCI @ ICCV19 - Call for Papers

Learning for Computational Imaging (LCI) Workshop: Sensing, Reconstruction, and Analysis

Seoul, Korea – Nov. 2, 2019

In conjunction with ICCV 2019 – International Conference on Computer Vision

Website: https://sites.google.com/view/iccv-lci2019/home

Call For Papers: https://sites.google.com/view/iccv-lci2019/call-for-papers

Submission website: https://cmt3.research.microsoft.com/LCI2019

Important Dates

Paper Submission Deadline: July 15, 2019 July 28, 2019 (11:59 PM PST)

Extended Abstract Submission: August 5, 2019 (11:59 PM PST)

Author Notification Date: August 20, 2019 (11:59 PM PST)

Camera-ready Deadline: August 30, 2019 (11:59 PM PST)

Aims and Scope

The ICCV Workshop on Learning for Computational Imaging (LCI) is a perfect venue for presenting recent advances and trends in the field of computational imaging, in which learning and computation are major ingredients of highly effective imaging systems. The scope covers research topics ranging from novel computational imaging pipeline, image and system modeling, theory, algorithms, applications in various imaging modalities, as well as industrial imaging applications. We invite researchers interested in these topics to join the LCI @ ICCV2019 workshop.

Research papers are solicited in, but not limited to, the following 4 tracks:

  1. Novel Learning-Driven Computational Imaging Systems: Smart imaging systems with end-to-end learning, Learned data acquisition, Learning-Based compressed sensing systems, 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 and transform learning, Manifold learning, Unrolled architectures, 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, Analysis of deep architectures, Theory for large-scale and distributed algorithms, etc.
  4. Computational Imaging Applications with Learning: Magnetic resonance imaging, Radar imaging, Lidar, Computed tomography, Microscopy, Ultrasound, Hyperspectral imaging, Hybrid imaging, Computational photography, Neuroimaging, Dynamic imaging, Super-resolution, Inpainting, and novel and extreme imaging modalities and applications.

Current Confirmed Invited Speakers

Submission and Revision

All submissions will be handled through the workshop CMT website: https://cmt3.research.microsoft.com/LCI2019. We accept two kinds of contributions:

  1. Regular Papers (4 tracks)
  2. Extended Abstracts

Regular Papers – Deadline: July 28th, 2019

Regular papers may be a maximum 8 pages, including figures and tables; additional pages must contain only cited references. The review will be double-blind.

Please make sure all authors or references to authors are anonymized. Accepted papers will be published in the workshop proceedings on both IEEE Xplore and CVF.

Use the 4 regular tracks (Novel Learning-Driven Computational Imaging Systems, Learning-based Modeling and Algorithms for Imaging, Learning Theory for Computational Imaging, and Computational Imaging Applications) on CMT.

Extended Abstracts - Deadline: August 5th, 2019

The length of extended abstracts is 1-4 pages, including figures, tables and references. The contents (including references) and length of the extended abstract should be sufficient for the submission to be properly evaluated.

We invite submissions of extended abstracts of

  1. Ongoing or already published works.
  2. Reports on demonstrations or prototypes.
  3. Industry showcase or posters.

The review will be a single-blind. There will be NO published proceedings for extended abstracts.

Use the Extended Abstract track on the workshop CMT website.

LCI @ ICCV19 Organizers

 

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