125 - VQA for Real Users, with Danna Gurari

How can we build Visual Question Answering systems for real users? For this episode, we chatted with Danna Gurari, about her work in building datasets and models towards VQA for people who are blind. We talked about the differences between the existing datasets, and Vizwiz, a dataset built by Gurari et al., and the resulting algorithmic changes. We also discussed the unsolved challenges in this field, and the new tasks they result in. Danna Gurari is an Assistant Professor as well as Founding Director of the Image and Video Computing group in the School of Information at University of Texas at Austin (UT-Austin). Vizwiz project page: The hosts for this episode are Ana Marasović and Pradeep Dasigi.

You can listen to 125 - VQA for Real Users, with Danna Gurari online on Radio and Podcast. Open the player on this page to stream the available audio.

125 - VQA for Real Users, with Danna Gurari is an episode from NLP Highlights by NLP Highlights.

This episode is 00:42:10 long.

This episode was published on May 4, 2021.

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