Utilizing Visualization-oriented Natural Language Interfaces (V-NLI) as a complementary
input modality to direct manipulation for visual analytics can provide an engaging user …

Infographics communicate information using a combination of textual, graphical and visual
elements. This work explores the automatic understanding of infographic images by using a …

The human attention mechanism can be understood and simulated by closely associating
the saliency prediction task to neuroscience and psychology. Furthermore, saliency …

Visual saliency models have enjoyed a big leap in performance in recent years, thanks to
advances in deep learning and large scale annotated data. Despite enormous effort and …

Combining data content with visual embellishments, infographics can effectively deliver
messages in an engaging and memorable manner. Various authoring tools have been …

Inspired by the great success of machine learning (ML), researchers have applied ML
techniques to visualizations to achieve a better design, development, and evaluation of …

Automatic infographics generators employ machine learning algorithms/user-defined rules
and visual embellishments into the creation of infographics. It is an emerging topic in the …

Designers need to consider not only perceptual effectiveness but also visual styles when
creating an infographic. This process can be difficult and time consuming for professional …

When designing infographics, general users usually struggle with getting desired color
palettes using existing infographic authoring tools, which sometimes sacrifice …

Infographics are engaging visual representations that tell an informative story using a fusion
of data and graphical elements. The large variety of infographic design poses a challenge …