4 citations · 4 across the 5 of their papers we have counts for
5 papers
SPIN: Hierarchical Segmentation with Subpart Granularity in Natural Images
Josh Myers-Dean, Jarek Reynolds, Brian Price +2
Hierarchical segmentation entails creating segmentations at varying levels of granularity. We introduce the first hierarchical semantic segmentation dataset with subpart annotation…
Interpreting COVID Lateral Flow Tests' Results with Foundation Models
Stuti Pandey, Josh Myers-Dean, Jarek Reynolds +1
Lateral flow tests (LFTs) enable rapid, low-cost testing for health conditions including Covid, pregnancy, HIV, and malaria. Automated readers of LFT results can yield many benefit…
VQA Therapy: Exploring Answer Differences by Visually Grounding Answers
Chongyan Chen, Samreen Anjum, Danna Gurari
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…
VizWiz-FewShot: Locating Objects in Images Taken by People With Visual Impairments
Yu-Yun Tseng, Alexander Bell, Danna Gurari
We introduce a few-shot localization dataset originating from photographers who authentically were trying to learn about the visual content in the images they took. It includes nea…
Visual Question: Predicting If a Crowd Will Agree on the Answer
Danna Gurari, Kristen Grauman
Visual question answering (VQA) systems are emerging from a desire to empower users to ask any natural language question about visual content and receive a valid answer in response…