18 citations · 18 across the 3 of their papers we have counts for
3 papers
cs.CV2023
Probabilistic 3d regression with projected huber distribution
David Mohlin, Josephine Sullivan
Estimating probability distributions which describe where an object is likely to be from camera data is a task with many applications. In this work we describe properties which we…
cs.CV2021
Probabilistic Regression with Huber Distributions
David Mohlin, Gerald Bianchi, Josephine Sullivan
In this paper we describe a probabilistic method for estimating the position of an object along with its covariance matrix using neural networks. Our method is designed to be robus…
cs.CV2020★ 18 cited
Probabilistic orientation estimation with matrix Fisher distributions
D. Mohlin, G. Bianchi, J. Sullivan
This paper focuses on estimating probability distributions over the set of 3D rotations () using deep neural networks. Learning to regress models to the set of rotations is…