Computer Vision and Image Understanding Computer Vision for Assistive Technologies

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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

MERLOT RESERVE: Neural Script Knowledge through Vision and Language and Sound (2022, background): “, to improve accessibility for low vision and blind users [75] or for people who are d/Deaf [47].”
Hands Holding Clues for Object Recognition in Teachable Machines (2019, background): “Table 1 presents representative examples from 2010-2018 focusing mainly on real-world applications, though similar patterns may be found when examining larger surveys [33, 40, 46].”
Getting to Know Low-light Images with The Exclusively Dark Dataset (2018, background): “Computer vision research and systems aimed at assisting people in daily activities, as well as improve safety and security could be especially helpful in such conditions ([1]).”
Predicting the Future from First Person (Egocentric) Vision: A Survey (2021, background): “Future predictions from egocentric videos can be beneﬁcial for assistive technologies either in daily living or industrial scenarios [23].”
What is the point of fairness? (2019, background): “Our second case concerns a longstanding area of research – engaged in by AI researchers, health researchers, and HCI researchers – is that of using computer vision (AI that “sees”) to assist vision-impaired people [33, 14, 19].”