15 citations · 15 across the 6 of their papers we have counts for
6 papers
ASAP: Visual Analytics for Identifying and Analyzing Image Patterns in AI-generated Images
Jinbin Huang, Yuki Ueno, Chen Chen +4
Generative image models can produce highly realistic images, raising concerns about potential misuse in creating deceptive content. Current deepfake approaches face several challen…
VisAnatomy: An SVG Chart Corpus with Fine-Grained Semantic Labels
Chen Chen, Hannah K. Bako, Peihong Yu +10
Chart corpora, which comprise data visualizations and their semantic labels, are crucial for advancing visualization research. However, the labels in most existing corpora are high…
Manipulable Semantic Components: a Computational Representation of Data Visualization Scenes
Zhicheng Liu, Chen Chen, John Hooker
Various data visualization applications such as reverse engineering and interactive authoring require a vocabulary that describes the structure of visualization scenes and the proc…
ASAP: Interpretable Analysis and Summarization of AI-generated Image Patterns at Scale
Jinbin Huang, Chen Chen, Aditi Mishra +3
Generative image models have emerged as a promising technology to produce realistic images. Despite potential benefits, concerns grow about its misuse, particularly in generating d…
Mystique: Deconstructing SVG Charts for Layout Reuse
Chen Chen, Bongshin Lee, Yunhai Wang +2
To facilitate the reuse of existing charts, previous research has examined how to obtain a semantic understanding of a chart by deconstructing its visual representation into reusab…
The State of the Art in Creating Visualization Corpora for Automated Chart Analysis
Chen Chen, Zhicheng Liu
We present a state-of-the-art report on visualization corpora in automated chart analysis research. We survey 56 papers that created or used a visualization corpus as the input of…