1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2023
Learning a Depth Covariance Function
Eric Dexheimer, Andrew J. Davison
We propose learning a depth covariance function with applications to geometric vision tasks. Given RGB images as input, the covariance function can be flexibly used to define prior…
cs.RO2021★ 1 cited
LEO: Learning Energy-based Models in Factor Graph Optimization
Paloma Sodhi, Eric Dexheimer, Mustafa Mukadam +2
We address the problem of learning observation models end-to-end for estimation. Robots operating in partially observable environments must infer latent states from multiple sensor…