Article... IEEE International Conference on Computer Vision workshops. IEEE International Conference on Computer Vision2025
Introduction to the First Workshop on Vision Foundation Models and Generative AI for Accessibility.
Article in ... IEEE International Conference on Computer Vision workshops. IEEE International Conference on Computer Vision, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
5 authors.
Funding
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.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.