Samreen Anjum

2 accepted papers

2023

VQA Therapy: Exploring Answer Differences by Visually Grounding Answers

Chongyan Chen, Samreen Anjum, Danna Gurari

ICCV 2023poster

Visual question answering is a task of predicting the answer to a question about an image. Given that different people can provide different answers to a visual question, we aim to better understand why with answer groundings. We introduce the first dataset that visually grounds each unique answer t…

Cited by 8 PDF ↗code ↗Scholar ↗

2022

Grounding Answers for Visual Questions Asked by Visually Impaired People

Chongyan Chen, Samreen Anjum, Danna Gurari

CVPR 2022oral

Visual question answering is the task of answering questions about images. We introduce the VizWiz-VQA-Grounding dataset, the first dataset that visually grounds answers to visual questions asked by people with visual impairments. We analyze our dataset and compare it with five VQA-Grounding dataset…

Cited by 67 PDF ↗code ↗Scholar ↗