10 citations · 12 across the 3 of their papers we have counts for
3 papers
Traffic4cast at NeurIPS 2021 -- Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes
Christian Eichenberger, Moritz Neun, Henry Martin +34
The IARAI Traffic4cast competitions at NeurIPS 2019 and 2020 showed that neural networks can successfully predict future traffic conditions 1 hour into the future on simply aggrega…
Dual Encoding U-Net for Spatio-Temporal Domain Shift Frame Prediction
Jay Santokhi, Dylan Hillier, Yiming Yang +3
The landscape of city-wide mobility behaviour has altered significantly over the past 18 months. The ability to make accurate and reliable predictions on such behaviour has likewis…
Temporal Autoencoder with U-Net Style Skip-Connections for Frame Prediction
Jay Santokhi, Pankaj Daga, Joned Sarwar +2
Finding sustainable and novel solutions to predict city-wide mobility behaviour is an ever-growing problem given increased urban complexity and growing populations. This paper seek…