18 citations · 18 across the 3 of their papers we have counts for
3 papers
cs.LG2021
Multimodal Detection of COVID-19 Symptoms using Deep Learning & Probability-based Weighting of Modes
Meysam Effati, Yu-Chen Sun, Hani E. Naguib +1
The COVID-19 pandemic is one of the most challenging healthcare crises during the 21st century. As the virus continues to spread on a global scale, the majority of efforts have bee…
cs.CV2020
Robots Understanding Contextual Information in Human-Centered Environments using Weakly Supervised Mask Data Distillation
Daniel Dworakowski, Goldie Nejat
Contextual information in human environments, such as signs, symbols, and objects provide important information for robots to use for exploration and navigation. To identify and se…
cs.CY2020★ 18 cited
Making Sense of the Robotized Pandemic Response: A Comparison of Global and Canadian Robot Deployments and Success Factors
T. Barfoot, J. Burgner-Kahrs, E. Diller +12
From disinfection and remote triage, to logistics and delivery, countries around the world are making use of robots to address the unique challenges presented by the COVID-19 pande…