[Ieee_vis] CG&A CFP: Special Issue on Powering Visualization with Deep Learning

[siwei fu]

Dear Colleagues:


IEEE Computer Graphics and Applications plans a Sept. 2021 special
issue on Deep Learning Powered Visualization, which advances
visualization applications using deep learning techniques. The great
success of deep learning techniques in computer vision, natural
language processing, and speech recognition offers new opportunities
for data visualization and analytics. We can leverage these
technologies not only to recognize visual representations but also to
understand analytical tasks.


Introducing deep learning techniques into visualization tasks,
however, faces challenges. For example, high-quality training samples
are hard to collect for allowing end-to-end deep learning techniques
to work optimally. Unlike computer vision applications relying on
natural images or videos, meaningful visualization content requires
experts to generate and validate, which is extremely difficult to
produce at scale. In addition, visualization content has clear
contours and textures, which is different from natural images.
Therefore, debates exist on the applicability of deep-learning
techniques in visualization tasks.


For this special issue, we are soliciting papers that describe
algorithms, data structures, tools, and systems that use deep learning
or facilitate the use of deep learning for visualization tasks. More
specifically, we are looking for contributions that demonstrate the
practical impact of deep learning on (but not limited to) the
following topics:


*  Dataset for visualization tasks
*  Data-driven quality metrics for visualization
*  Deep learning models and training schemes for visualization tasks
*  Predictive visual analytics
*  The creation and recommendation of visualization content
*  Understanding visualization-oriented natural language
*  Visualization captioning
*  Deep learning models for interactive visual analytics
*  Visualization for deep learning tasks

IMPORTANT DATES:
Submissions due: 25 February 2021
Publication: September/October 2021

GUEST EDITORS:
Siwei Fu, Zhejiang Lab
Jian Zhao, University of Waterloo
Chris Bryan, Arizona State University
Yingcai Wu, Zhejiang University

Check out
https://www.computer.org/digital-library/magazines/cg/call-for-papers-special-issue-on-powering-visualization-with-deep-learning
for
submission details. For further information, please contact
cga5-2021 at computer.org


Best,
Siwei

Associate Research Scientist

Zhejiang Lab

Mobile: (+86) 18019761926  Email: siwei.fu at zhejianglab.com
Hangzhou, Zhejiang Province, China
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