Zeyu Wang

PhD Student, Urban Design and Planning

University of Washington

Zeyu is a PhD student in the Department of Urban Design and Planning. He is advised by Professor Don MacKenzie.

Bio last updated: August 08, 2025

Projects

This is the thumbnail image for the project RampNet

RampNet

2025 – Present

Papers

Thumbnail for: Street View for Whom? An Initial Examination of Google Street View’s Urban Coverage and Socioeconomic Indicators in the US

Street View for Whom? An Initial Examination of Google Street View’s Urban Coverage and Socioeconomic Indicators in the US

Zeyu Wang, Yingchao Jian, Adam Visokay, Don MacKenzie, Jon E. Froehlich

Extended Abstract Proceedings of GeoIndustry 2025

Keywords: google street view, map bias

PDF doi Cite Code

Thumbnail for: RampNet: A Two-Stage Pipeline for Bootstrapping Curb Ramp Detection in Streetscape Images from Open Government Metadata

RampNet: A Two-Stage Pipeline for Bootstrapping Curb Ramp Detection in Streetscape Images from Open Government Metadata

John O'Meara, Jared Hwang, Zeyu Wang, Mikey Saugstad, Jon E. Froehlich

ICCV CV4A11y Workshop 2025

Keywords: computer vision, google street view, deep learning, curb ramp detection

PDF arXiv doi Cite Code RampNet

Thumbnail for: “Does the cafe entrance look accessible? Where is the door?” Towards Geospatial AI Agents for Visual Inquiries

“Does the cafe entrance look accessible? Where is the door?” Towards Geospatial AI Agents for Visual Inquiries

Jon E. Froehlich, Jared Hwang, Zeyu Wang, John O'Meara, Xia Su, William Huang, Yang Zhang, Alexander J. Fiannaca, Philip Nelson, Shaun K. Kane

ICCV CV4A11y Workshop 2025

Keywords: geo-visual agents, AI agents

Talks

Slide preview for: RampNet: A Two-Stage Pipeline for Bootstrapping Curb Ramp Detection in Streetscape Images from Open Government Metadata

RampNet: A Two-Stage Pipeline for Bootstrapping Curb Ramp Detection in Streetscape Images from Open Government Metadata

Oct 20, 2025 | ICCV CV4A11y Workshop

Honolulu, Hawaiʻi

John O'Meara, Jared Hwang, Zeyu Wang, Mikey Saugstad, Jon E. Froehlich

PDF PPTX RampNet