17 citations · 64 across the 32 of their papers we have counts for
6 papers · 1 filter
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…
Long-Form Answers to Visual Questions from Blind and Low Vision People
Mina Huh, Fangyuan Xu, Yi-Hao Peng +5
Vision language models can now generate long-form answers to questions about images - long-form visual question answers (LFVQA). We contribute VizWiz-LF, a dataset of long-form ans…
BIV-Priv-Seg: Locating Private Content in Images Taken by People With Visual Impairments
Yu-Yun Tseng, Tanusree Sharma, Lotus Zhang +4
Individuals who are blind or have low vision (BLV) are at a heightened risk of sharing private information if they share photographs they have taken. To facilitate developing techn…
Collecting Consistently High Quality Object Tracks with Minimal Human Involvement by Using Self-Supervised Learning to Detect Tracker Errors
Samreen Anjum, Suyog Jain, Danna Gurari
We propose a hybrid framework for consistently producing high-quality object tracks by combining an automated object tracker with little human input. The key idea is to tailor a mo…
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…
Towards Artwork Explanation in Large-scale Vision Language Models
Kazuki Hayashi, Yusuke Sakai, Hidetaka Kamigaito +2
Large-scale Vision-Language Models (LVLMs) output text from images and instructions, demonstrating capabilities in text generation and comprehension. However, it has not been clari…