Related Experiment Videos
Introduction to the First Workshop on Vision Foundation Models and Generative AI for Accessibility
Yapeng Tian1, Yuhang Zhao2, Jon E Froehlich3
1University of Texas at Dallas, Richardson, TX, USA.
Abstract:
Vision foundation models and generative AI have recently made remarkable advances, enabling groundbreaking applications across computer vision, multimodal reasoning, and interactive AI systems. These models hold immense potential to enhance accessibility by powering assistive technologies that improve the daily lives of individuals with disabilities. At the same time, applying foundation models and generative AI in accessibility contexts presents key challenges, including fairness and bias, data scarcity, interpretability, and real-world deployment. This CV4A11y workshop brings together researchers from computer vision, human-computer interaction, and accessibility communities to identify challenges, explore emerging opportunities, and foster collaboration toward building inclusive, efficient, and responsible AI-powered accessibility systems.
Related Concept Videos
Vision
Depth Perception and Spatial Vision
Introduction to Learning
In contrast to learned behaviors, unlearned behaviors such as crying, sexual...
Accessory Structures of the Eye
Photoreceptors and Visual Pathways