Introduction to the First Workshop on Vision Foundation Models and Generative AI for Accessibility

Yapeng Tian, Yuhang Zhao, Jon E. Froehlich, Chu Li, Yuheng Wu

Keywords: Vision Foundation Models, Generative AI, Accessibility

Abstract: Vision foundation models and generative AI have made remarkable progress, unlocking groundbreaking capabilities across various domains. These advances hold immense potential to enhance accessibility by enabling AI-powered assistive technologies that improve the daily lives of individuals with disabilities. However, applying the current state-of-the-art AI models to accessibility poses several key challenges, including bias, data scarcity, interpretability, and real-world deployment limitations. This CV4A11y workshop aims to address these challenges, explore emerging research opportunities, and advance the development of more inclusive, efficient, and intelligent accessibility systems. It will provide a platform for discussing cutting-edge research, identifying critical challenges, and fostering collaboration across academia, industry, and accessibility communities. This workshop is highly relevant to computer vision researchers, AI practitioners, HCI experts, and accessibility professionals, as well as anyone interested in developing AI-driven solutions to support individuals with disabilities.

Submission Number: 13