7 citations · 26 across the 10 of their papers we have counts for
Showing cs.CVShow all
2 papers · 1 filter
cs.CV2020
Scalable Uncertainty for Computer Vision with Functional Variational Inference
Eduardo D C Carvalho, Ronald Clark, Andrea Nicastro +1
As Deep Learning continues to yield successful applications in Computer Vision, the ability to quantify all forms of uncertainty is a paramount requirement for its safe and reliabl…
cs.CV2017★ 3 cited
Algorithmic Performance-Accuracy Trade-off in 3D Vision Applications Using HyperMapper
Luigi Nardi, Bruno Bodin, Sajad Saeedi +3
In this paper we investigate an emerging application, 3D scene understanding, likely to be significant in the mobile space in the near future. The goal of this exploration is to re…