Maryam Hosseini

Maryam Hosseini

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Maryam has contributed to 6 publications.

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Recent Papers

Towards Fine-Grained Sidewalk Accessibility Assessment with Deep Learning: Initial Benchmarks and an Open Dataset

ASSETS 2024 To Appear

Alex Liu, Kevin Wu, Minchu Kulkarni, Mikey Saugstad, Peyton Rapo, Jeremy Freiburger, Maryam Hosseini, Chu Li, Jon E. Froehlich

PDF | doi | Citation | Deep Learning for Sidewalk Assessment • Project Sidewalk

The Future of Urban Accessibility: The Role of AI

ASSETS To Appear

Jon E. Froehlich, Chu Li, Maryam Hosseini, Fabio Miranda, Andres Sevtsuk, Yochai Eisenberg

PDF | doi | Citation

Scaling Crowd+AI Sidewalk Accessibility Assessments: Initial Experiments Examining Label Quality and Cross-city Training on Performance

Poster Proceedings of ASSETS'22

Michael Duan, Sho Kiami, Logan Milandin, Johnson Kuang, Mikey Saugstad, Maryam Hosseini, Jon E. Froehlich

PDF | doi | Citation | Project Sidewalk • Deep Learning for Sidewalk Assessment

We design, build, and evaluate new interactive tools and techniques to address pressing societal challenges. Makeability refers both to how our technological innovations make new abilities possible for humans as well as our educational mission to help students gain new abilities as they learn and grow through research, invention, and human-centered design.