most citedAnalyzing Worldwide Social Distancing through Large-Scale Computer Vision

15 citations · 29 across the 5 of their papers we have counts for

collaborators

10 papers

cs.DB2020

STULL: Unbiased Online Sampling for Visual Exploration of Large Spatiotemporal Data

Guizhen Wang, Jingjing Guo, Mingjie Tang +6

Online sampling-supported visual analytics is increasingly important, as it allows users to explore large datasets with acceptable approximate answers at interactive rates. However…

cs.CV202015 cited

Analyzing Worldwide Social Distancing through Large-Scale Computer Vision

Isha Ghodgaonkar, Subhankar Chakraborty, Vishnu Banna +15

In order to contain the COVID-19 pandemic, countries around the world have introduced social distancing guidelines as public health interventions to reduce the spread of the diseas…

cs.HC20191 cited

Geovisual Analytics and Interactive Machine Learning for Situational Awareness

Morteza Karimzadeh, Luke S. Snyder, David S. Ebert

The first responder community has traditionally relied on calls from the public, officially-provided geographic information and maps for coordinating actions on the ground. The ubi…

cs.SI201913 cited

City-level Geolocation of Tweets for Real-time Visual Analytics

Luke S. Snyder, Morteza Karimzadeh, Ray Chen +1

Real-time tweets can provide useful information on evolving events and situations. Geotagged tweets are especially useful, as they indicate the location of origin and provide geogr…

cs.SI2019

Situational Awareness Enhanced through Social Media Analytics: A Survey of First Responders

Luke S. Snyder, Morteza Karimzadeh, Christina Stober +1

Social media data has been increasingly used to facilitate situational awareness during events and emergencies such as natural disasters. While researchers have investigated severa…

cs.SI2019

Interactive Learning for Identifying Relevant Tweets to Support Real-time Situational Awareness

Luke S. Snyder, Yi-Shan Lin, Morteza Karimzadeh +2

Various domain users are increasingly leveraging real-time social media data to gain rapid situational awareness. However, due to the high noise in the deluge of data, effectively…