High-quality visualization collections are beneficial for a variety of applications including
visualization reference and data-driven visualization design. The visualization community …

Citations allow quickly identifying related research. If multiple publications are selected as
seeds, specific suggestions for related literature can be made based on the number of …

A literature review is a critical task in performing research. However, even browsing an
academic database and choosing must-read items can be daunting for novice researchers …

We present the VIS30K dataset, a collection of 29,689 images that represents 30 years of
figures and tables from each track of the IEEE Visualization conference series (Vis, SciVis …

Retrieving charts from a large corpus is a fundamental task that can benefit numerous
applications such as visualization recommendations. The retrieved results are expected to …

This article presents a new approach based on deep learning to automatically extract
colormaps from visualizations. After summarizing colors in an input visualization image as a …

Composite visualization is a popular design strategy that represents complex datasets by
integrating multiple visualizations in a meaningful and aesthetic layout, such as …

The IEEE VIS Conference (VIS) recently rebranded itself as a unified conference and
officially positioned itself within the discipline of Data Science. Driven by this movement, we …

It is increasingly difficult for researchers to navigate and reach an understanding of a
growing body of literature in a field of research. While past works in HCI and data …

Images in visualization publications contain rich information, eg, novel visualization designs
and implicit design patterns of visualizations. A systematic collection of these images can …