15 citations · 26 across the 13 of their papers we have counts for
3 papers · 1 filter
Monocular Depth Parameterizing Networks
Patrik Persson, Linn Öström, Carl Olsson
Monocular depth estimation is a highly challenging problem that is often addressed with deep neural networks. While these are able to use recognition of image features to predict r…
Accurate Optimization of Weighted Nuclear Norm for Non-Rigid Structure from Motion
José Pedro Iglesias, Carl Olsson, Marcus Valtonen Örnhag
Fitting a matrix of a given rank to data in a least squares sense can be done very effectively using 2nd order methods such as Levenberg-Marquardt by explicitly optimizing over a b…
A Unified Optimization Framework for Low-Rank Inducing Penalties
Marcus Valtonen Örnhag, Carl Olsson, Anders Heyden
In this paper we study the convex envelopes of a new class of functions. Using this approach, we are able to unify two important classes of regularizers from unbiased non-convex fo…