[visionlist] Call for Papers: Computer Vision for Microscopy Image Analysis @CVPR 2020

[may4mc]

Hello,

Could you kindly publish the CFP with new deadlines to the mailing list?

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Call for Papers: CVMI 2020

5th Workshop on Computer Vision for Microscopy Image Analysis (CVMI) will
be held in conjunction with CVPR 2020.

High-throughput microscopy enables researchers to acquire thousands of
images automatically over a matter of hours. This makes it possible to
conduct large-scale, image-based experiments for biological discovery. The
main challenge and bottleneck in such experiments is the conversion of “big
visual data” into interpretable information and hence discoveries. Visual
analysis of large-scale image data is a daunting task. Not only do
computers have more “stamina” than human annotators for such tasks, they
also perform analysis that is more reproducible and less subjective. The
post-acquisition component of high-throughput microscopy experiments calls
for effective and efficient computer vision techniques.

This workshop intends to draw more visibility and interest to this
challenging yet fruitful field, and establish a platform to foster in-depth
idea exchange and collaboration. Authors are invited to submit original and
innovative papers.

Key Dates:

Paper submission deadline: March 27, 2020, 11:59pm, Pacific Time.
Notification of acceptance: April 13, 2020.
Camera-ready submission deadline: April 20, 2020, 11:59pm, Pacific Time.

Website:   https://cvmi2020.github.io/submission.html

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Thanks!

Best,
Mei

On Wed, Jan 29, 2020 at 1:12 AM may4mc <may4mc at gmail.com> wrote:

> Hello,
>
> Could you kindly publish the CFP below to the mailing list?
> --------------------------------------------------
> Call for Papers: CVMI 2020
>
> The Workshop on Computer Vision for Microscopy Image Analysis (CVMI) will
> be held in conjunction with CVPR 2020.
>
> High-throughput microscopy enables researchers to acquire thousands of
> images automatically over a matter of hours. This makes it possible to
> conduct large-scale, image-based experiments for biological discovery. The
> main challenge and bottleneck in such experiments is the conversion of “big
> visual data” into interpretable information and hence discoveries. Visual
> analysis of large-scale image data is a daunting task. Not only do
> computers have more “stamina” than human annotators for such tasks, they
> also perform analysis that is more reproducible and less subjective. The
> post-acquisition component of high-throughput microscopy experiments calls
> for effective and efficient computer vision techniques.
>
> This workshop intends to draw more visibility and interest to this
> challenging yet fruitful field, and establish a platform to foster in-depth
> idea exchange and collaboration. Authors are invited to submit original and
> innovative papers.
>
> Key Dates:
>
> Paper submission deadline: March 22, 2020, 11:59pm, Pacific Time.
> Notification of acceptance: April 5, 2020.
> Camera-ready submission deadline: April 19, 2020, 11:59pm, Pacific Time.
>
> Website:  https://cvmi2020.github.io/dates.html
>
> -------------------------------------------------
> Thanks!
>
> Best,
> Mei
>
>
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