4 papers
How Historians Use Visualization: A Corpus-Driven Mixed-Methods Study
Xinyue Chen, Yu Zhang, Weili Zheng +2
Visualization in historical research is shifting from isolated attempts to systematic practices. However, data-driven evidence about how historians actually use visualization remai…
PromptMap: Supporting Exploratory Text-to-Image Generation
Yuhan Guo, Xingyou Liu, Xiaoru Yuan +1
Text-to-image generative models can be tremendously valuable in supporting creative tasks by providing inspirations and enabling quick exploration of different design ideas. Howeve…
Datasets of Visualization for Machine Learning
Can Liu, Ruike Jiang, Shaocong Tan +4
Datasets of visualization play a crucial role in automating data-driven visualization pipelines, serving as the foundation for supervised model training and algorithm benchmarking.…
AutoLegend: A User Feedback-Driven Adaptive Legend Generator for Visualizations
Can Liu, Xiyao Mei, Zhibang Jiang +2
We propose AutoLegend to generate interactive visualization legends using online learning with user feedback. AutoLegend accurately extracts symbols and channels from visualization…