Maryam Hosseini

Maryam Hosseini

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Maryam has contributed to 4 publications.

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Recent Papers

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

The Future of Urban Accessibility for People with Disabilities: Data Collection, Analytics, Policy, and Tools

ASSETS'22 Workshop on The Future of Urban Accessibility

Jon E. Froehlich, Yochai Eisenberg, Maryam Hosseini, Fabio Miranda, Marc Adams, Anat Caspi, Holger Dieterich, Heather Feldner, Aldo Gonzalez, Claudina de Gyves, Joy Hammel, Reuben Kirkham, Melanie Kneisel, Delphine Labbé, Stephen J. Mooney, Victor Pineda, Cláudia Pinhão, Ana Rodríguez, Manaswi Saha, Mikey Saugstad, Judy L. Shanley, Ather Sharif, Qing Shen, Claudio Silva, Maarten Sukel, Eric K. Tokuda, Sebastian Felix Zappe, Anna Zivarts

PDF | doi | Citation

Towards Global-Scale Crowd+AI Techniques to Map and Assess Sidewalks for People with Disabilities

CVPR2022 Workshop: Accessibility, Vision, and Autonomy (AVA)

Maryam Hosseini, Mikey Saugstad, Fabio Miranda, Andres Sevtsuk, Cláudio T. Silva, 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.