4 citations · 7 across the 7 of their papers we have counts for
4 papers · 1 filter
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…
Breathing New Life into Existing Visualizations: A Natural Language-Driven Manipulation Framework
Can Liu, Jiacheng Yu, Yuhan Guo +3
We propose an approach to manipulate existing interactive visualizations to answer users' natural language queries. We analyze the natural language tasks and propose a design space…
PrompTHis: Visualizing the Process and Influence of Prompt Editing during Text-to-Image Creation
Yuhan Guo, Hanning Shao, Can Liu +2
Generative text-to-image models, which allow users to create appealing images through a text prompt, have seen a dramatic increase in popularity in recent years. However, most user…