Urban Boundaries, Social Barriers: A Benchmark and Vision-Centric Framework for Mapping Gated Communities and Equity Implications

Abstract

This paper introduces a benchmark of residential compounds in the Greater Bay Area and a vision-centred multimodal approach to identifying gated communities. Combining imagery, text, and structured attributes enables metropolitan-scale analysis of enclosure, green space, and pedestrian connectivity.

Publication
European Conference on Computer Vision (ECCV 2026)

Accepted at ECCV 2026. The camera-ready version was posted to arXiv on 3 September 2026.

Cai Wu
Cai Wu
Assistant Professor

I study computational urban morphology, GeoAI, and data-driven urban design, developing reproducible methods for understanding cities across scales.