26 citations · 27 across the 4 of their papers we have counts for
4 papers
Visualizing Routes with AI-Discovered Street-View Patterns
Tsung Heng Wu, Md Amiruzzaman, Ye Zhao +2
Street-level visual appearances play an important role in studying social systems, such as understanding the built environment, driving routes, and associated social and economic f…
Geo-Context Aware Study of Vision-Based Autonomous Driving Models and Spatial Video Data
Suphanut Jamonnak, Ye Zhao, Xinyi Huang +1
Vision-based deep learning (DL) methods have made great progress in learning autonomous driving models from large-scale crowd-sourced video datasets. They are trained to predict in…
Interactive Visual Study of Multiple Attributes Learning Model of X-Ray Scattering Images
Xinyi Huang, Suphanut Jamonnak, Ye Zhao +4
Existing interactive visualization tools for deep learning are mostly applied to the training, debugging, and refinement of neural network models working on natural images. However…
Visual Understanding of Multiple Attributes Learning Model of X-Ray Scattering Images
Xinyi Huang, Suphanut Jamonnak, Ye Zhao +4
This extended abstract presents a visualization system, which is designed for domain scientists to visually understand their deep learning model of extracting multiple attributes i…