Research Output

Publications & Research

Cutting-edge research in urban computing, AI, and data visualization

All Topics Change Detection Computer Vision Human-AI Urban Analytics Visualization Smart Cities Sensing HCI

In Proceedings of the ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2025) • 2025

Where Can I Park? Understanding Human Perspectives and Scalably Detecting Disability Parking from Aerial Imagery

Jared Hwang, Chu Li, Hanbyul Kang, Maryam Hosseini, Jon E. Froehlich

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nunc eget arcu in lorem fringilla congue id quis ipsum. Vestibulum ante ipsum primis in faucibus orci luctus et ultrices posuere cubilia curae.

accessibility computer-vision urban-mobility

In Proceedings of the UMFM 2025 Workshop at the 33rd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL 2025) • 2025

StreetTransformer: Precedent Retrieval and Multimodal Fusion with Vision Language Models

Jon Atkins, Joao Rulff, Claudio T. Silva, Maryam Hosseini

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Praesent aliquet, risus id bibendum tempor, orci urna ornare mi, et mattis nisl arcu eget metus.

vision-language urban-design multimodal

IEEE Transactions on Visualization and Computer Graphics, 2025 • 2025

StreetWeave: A Declarative Grammar for Street-Overlaid Visualization of Multivariate Data

Sanjana Srabanti, G. Elisabeta Marai, Fabio Miranda

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Proin tincidunt, lacus quis pharetra feugiat, tortor justo efficitur turpis, sit amet fermentum massa risus sit amet orci.

visualization urban-analytics grammars

IEEE Transactions on Visualization and Computer Graphics, 2025 • 2025

VA-Blueprint: Uncovering Building Blocks for Visual Analytics System Design

Leonardo Ferreira, Gustavo Moreira, Fabio Miranda

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Donec suscipit elementum felis sed efficitur. Sed semper, augue quis porta molestie, augue mi tempor elit, vitae luctus risus nulla nec leo.

visual-analytics design-systems frameworks

IEEE Transactions on Visualization and Computer Graphics, 2025 • 2025

Urbanite: A Dataflow-Based Framework for Human-AI Interactive Alignment in Urban Visual Analytics

Gustavo Moreira, Leonardo Ferreira, Carolina Veiga, Maryam Hosseini, Fabio Miranda

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Integer maximus sem sed imperdiet tempor. Fusce ut sodales nisi, at tristique justo.

human-ai urban-analytics visualization

In Proceedings of ICCV Workshop on Vision Foundation Models and Generative AI for Accessibility • 2025

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

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

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque commodo leo ac mi tempor, et eleifend libero rutrum. Morbi luctus nisi sit amet leo pharetra gravida.

accessibility street-imagery deep-learning

In Proceedings of ACM Conference on Human Factors in Computing (CHI 2025) • 2025

NightLight: Passively Mapping Nighttime Sidewalk Light Data for Improved Pedestrian Routing

Joseph Breda, Daniel Campos Zamora, Shwetak Patel, Jon E. Froehlich

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Curabitur ut gravida ligula. Vestibulum ante ipsum primis in faucibus orci luctus et ultrices posuere cubilia curae.

smart-cities sensing hci

IEEE Transactions on Visualization and Computer Graphics, 2025 • 2025

TiVy: Time Series Visual Summary for Scalable Visualization

Gromit Yeuk-Yin Chan, Luis Gustavo Nonato, Themis Palpanas, Claudio T. Silva, Juliana Freire

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Aliquam sit amet est mi. Nunc rhoncus mauris turpis, sed interdum ipsum aliquet id.

time-series visualization scalability

In Proceedings of ICCV Workshop on Vision Foundation Models and Generative AI for Accessibility • 2025

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 S. O'Meara, Xia Su, William Huang, Yang Zhang, Alex Fiannaca, Philip Nelson, Shaun Kane

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vivamus et aliquet turpis. Nulla id lectus vitae nibh vehicula tincidunt non quis erat.

geospatial-ai accessibility agents

In Proceedings of the VLDB Endowment, 2025 • 2025

Magneto: Combining Small and Large Language Models for Schema Matching

Yurong Liu, Eduardo Pena, Aecio Santos, Eden Wu, Juliana Freire

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Cras sed dui nisl. Ut vitae dolor maximus, scelerisque turpis quis, luctus felis.

data-integration llm schema-matching

IEEE Data Engineering Bulletin, 2025 • 2025

Large Language Models for Data Discovery and Integration: Challenges and Opportunities

Juliana Freire, Grace Fan, Benjamin Feuer, Christos Koutras, Yurong Liu, Eduardo Pena, Aecio Santos, Claudio T. Silva, Eden Wu

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque quis dolor sed nunc pellentesque suscipit. Integer sagittis neque a libero venenatis, id tempor dui facilisis.

llm data-discovery integration

In Proceedings of the Workshop on Human-In-the-Loop Data Analytics, 2025 • 2025

Hierarchical Table Semantics for Exploratory Table Discovery

Grace Fan, Juliana Freire

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Integer posuere tellus at diam vulputate, a aliquet purus interdum. Nulla facilisi.

table-search knowledge-graphs human-in-the-loop

To appear in the proceedings of NeurIPS Workshop on UrbanAI: Harnessing Artificial Intelligence for Smart Cities • 2025

StreetTransformer: A Large Scale Multimodal Benchmark for Change Detection in Urban Streets

Jon Atkins, Joao Rulff, Claudio Silva, Maryam Hosseini

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Etiam tristique, ligula eget tincidunt tincidunt, leo arcu luctus est, at ullamcorper odio risus ut velit.

change-detection computer-vision benchmark