Invited Talk, Fine-Grained Visual Categorization Workshop 10, organized in conjunction with 2023 Conference of Computer Vision Pattern Recognition, Vancouver, BC, CA
An update on Open Access and machine learning at the Met.
Invited Talk, Fine-Grained Visual Categorization Workshop 6, organized in conjunction with 2019 Conference of Computer Vision Pattern Recognition, Long Beach, CA, USA
Addresses the history of the Met’s collection in digital form and what makes it unique. Explores the quirks in the data, the categorization challenges, and proposes use cases for machine learning.
Case Study, Museum Computer Network Annual Conference 2015, Minneapolis, MN, USA
Way-finding is a common challenge for museums, often thought to require significant time and resources to solve. The Met’s complex floor plan made developing a useful mobile map for the Met App particularly challenging, especially given our small team and tight timeline. Rather than building an elaborate solution based on assumptions, we quickly developed an MVP that worked on both native platforms. Using a build-measure-learn feedback loop, we iteratively improved the Map based on visitor feedback, enhancing the overall visitor experience.