7 citations · 8 across the 2 of their papers we have counts for
7 papers
CrowdMOT: Crowdsourcing Strategies for Tracking Multiple Objects in Videos
Samreen Anjum, Chi Lin, Danna Gurari
Crowdsourcing is a valuable approach for tracking objects in videos in a more scalable manner than possible with domain experts. However, existing frameworks do not produce high qu…
Assessing Image Quality Issues for Real-World Problems
Tai-Yin Chiu, Yinan Zhao, Danna Gurari
We introduce a new large-scale dataset that links the assessment of image quality issues to two practical vision tasks: image captioning and visual question answering. First, we id…
Captioning Images Taken by People Who Are Blind
Danna Gurari, Yinan Zhao, Meng Zhang +1
While an important problem in the vision community is to design algorithms that can automatically caption images, few publicly-available datasets for algorithm development directly…
VizWiz Dataset Browser: A Tool for Visualizing Machine Learning Datasets
Nilavra Bhattacharya, Danna Gurari
We present a visualization tool to exhaustively search and browse through a set of large-scale machine learning datasets. Built on the top of the VizWiz dataset, our dataset browse…
Why Does a Visual Question Have Different Answers?
Nilavra Bhattacharya, Qing Li, Danna Gurari
Visual question answering is the task of returning the answer to a question about an image. A challenge is that different people often provide different answers to the same visual…
Unconstrained Foreground Object Search
Yinan Zhao, Brian Price, Scott Cohen +1
Many people search for foreground objects to use when editing images. While existing methods can retrieve candidates to aid in this, they are constrained to returning objects that…