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20152022
most citedWhat Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?

2.9k citations · 4.2k across the 10 of their papers we have counts for

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Showing 2019Show all

2 papers · 1 filter

cs.CV2019★ 18 cited

Learning a Spatio-Temporal Embedding for Video Instance Segmentation

Anthony Hu, Alex Kendall, Roberto Cipolla

We present a novel embedding approach for video instance segmentation. Our method learns a spatio-temporal embedding integrating cues from appearance, motion, and geometry; a 3D ca…

cs.CV2019

Urban Driving with Conditional Imitation Learning

Jeffrey Hawke, Richard Shen, Corina Gurau +8

Hand-crafting generalised decision-making rules for real-world urban autonomous driving is hard. Alternatively, learning behaviour from easy-to-collect human driving demonstrations…