3 citations · 4 across the 4 of their papers we have counts for
4 papers
WebUI: A Dataset for Enhancing Visual UI Understanding with Web Semantics
Jason Wu, Siyan Wang, Siman Shen +3
Modeling user interfaces (UIs) from visual information allows systems to make inferences about the functionality and semantics needed to support use cases in accessibility, app aut…
Screen Correspondence: Mapping Interchangeable Elements between UIs
Jason Wu, Amanda Swearngin, Xiaoyi Zhang +2
Understanding user interface (UI) functionality is a useful yet challenging task for both machines and people. In this paper, we investigate a machine learning approach for screen…
Reflow: Automatically Improving Touch Interactions in Mobile Applications through Pixel-based Refinements
Jason Wu, Titus Barik, Xiaoyi Zhang +3
Touch is the primary way that users interact with smartphones. However, building mobile user interfaces where touch interactions work well for all users is a difficult problem, bec…
Extracting Replayable Interactions from Videos of Mobile App Usage
Jieshan Chen, Amanda Swearngin, Jason Wu +3
Screen recordings of mobile apps are a popular and readily available way for users to share how they interact with apps, such as in online tutorial videos, user reviews, or as atta…