353 citations · 1.3k across the 22 of their papers we have counts for
Showing cs.CVShow all
2 papers · 1 filter
cs.CV2016★ 50 cited
ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events
Evan Racah, Christopher Beckham, Tegan Maharaj +3
Then detection and identification of extreme weather events in large-scale climate simulations is an important problem for risk management, informing governmental policy decisions…
cs.CV2016★ 6 cited
A dataset and exploration of models for understanding video data through fill-in-the-blank question-answering
Tegan Maharaj, Nicolas Ballas, Anna Rohrbach +2
While deep convolutional neural networks frequently approach or exceed human-level performance at benchmark tasks involving static images, extending this success to moving images i…