activity
20202025
most citedCitySurfaces: City-Scale Semantic Segmentation of Sidewalk Materials

51 citations · 167 across the 13 of their papers we have counts for

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6 papers · 1 filter

cs.HC2025★ 1 cited

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★ 7 cited

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.HC2024★ 27 cited

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…

cs.HC2023★ 23 cited

The Urban Toolkit: A Grammar-based Framework for Urban Visual Analytics

Gustavo Moreira, Maryam Hosseini, Md Nafiul Alam Nipu +3

While cities around the world are looking for smart ways to use new advances in data collection, management, and analysis to address their problems, the complex nature of urban iss…

cs.HC2020★ 28 cited

Urban Mosaic: Visual Exploration of Streetscapes Using Large-Scale Image Data

Fabio Miranda, Maryam Hosseini, Marcos Lage +3

Urban planning is increasingly data driven, yet the challenge of designing with data at a city scale and remaining sensitive to the impact at a human scale is as important today as…