collaborators

5 papers

cs.HC2025

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

Gustavo Moreira, Leonardo Ferreira, Carolina Veiga +2

With the growing availability of urban data and the increasing complexity of societal challenges, visual analytics has become essential for deriving insights into pressing real-wor…

cs.HC2024

Towards Data-Informed Interventions: Opportunities and Challenges of Street-level Multimodal Sensing

Joao Rulff, Giancarlo Pereira, Maryam Hosseini +2

Over the past decades, improvements in data collection hardware coupled with novel artificial intelligence algorithms have made it possible for researchers to understand urban envi…

cs.HC2024

Curio: A Dataflow-Based Framework for Collaborative Urban Visual Analytics

Gustavo Moreira, Maryam Hosseini, Carolina Veiga +6

Over the past decade, several urban visual analytics systems and tools have been proposed to tackle a host of challenges faced by cities, in areas as diverse as transportation, wea…

cs.CV2024

SideSeeing: A multimodal dataset and collection of tools for sidewalk assessment

R. J. P. Damaceno, L. Ferreira, F. Miranda +2

This paper introduces SideSeeing, a novel initiative that provides tools and datasets for assessing the built environment. We present a framework for street-level data acquisition,…

cs.HC2024

The State of the Art in Visual Analytics for 3D Urban Data

Fabio Miranda, Thomas Ortner, Gustavo Moreira +6

Urbanization has amplified the importance of three-dimensional structures in urban environments for a wide range of phenomena that are of significant interest to diverse stakeholde…