Powering Visualization with Deep Learning

Yingcai Wu, Siwei Fu, Jian Zhao, Chris Bryan

Research output: Contribution to journalReview articlepeer-review

Abstract

The articles in this Special Issue focus on the application of deep learning techniques in visualization. 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. However, introducing deep learning techniques into visualization tasks faces new challenges and problems to solve. In this issue, we present six articles that illustrate how deep learning techniques interact with visualization.

Original languageEnglish (US)
Article number9535171
Pages (from-to)16-17
Number of pages2
JournalIEEE Computer Graphics and Applications
Volume41
Issue number5
DOIs
StatePublished - Sep 1 2021
Externally publishedYes

ASJC Scopus subject areas

  • Software
  • Computer Graphics and Computer-Aided Design

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