5 citations · 11 across the 10 of their papers we have counts for
10 papers
Deep Learning-Assisted Localisation of Nanoparticles in synthetically generated two-photon microscopy images
Rasmus Netterstrøm, Nikolay Kutuzov, Sune Darkner +4
Tracking single molecules is instrumental for quantifying the transport of molecules and nanoparticles in biological samples, e.g., in brain drug delivery studies. Existing intensi…
First Order Locally Orderless Registration
Sune Darkner, Jose D Tascon, Francois Lauze
First Order Locally Orderless Registration (FLOR) is a scale-space framework for image density estimation used for defining image similarity, mainly for Image Registration. The Loc…
Graph2Graph Learning with Conditional Autoregressive Models
Guan Wang, Francois Bernard Lauze, Aasa Feragen
We present a graph neural network model for solving graph-to-graph learning problems. Most deep learning on graphs considers ``simple'' problems such as graph classification or reg…
On Variational Methods for Motion Compensated Inpainting
Francois Lauze, Mads Nielsen
We develop in this paper a generic Bayesian framework for the joint estimation of motion and recovery of missing data in a damaged video sequence. Using standard maximum a posterio…
Scale-Regularized Filter Learning
Marco Loog, François Lauze
We start out by demonstrating that an elementary learning task, corresponding to the training of a single linear neuron in a convolutional neural network, can be solved for feature…
LED-based Photometric Stereo: Modeling, Calibration and Numerical Solution
Yvain Quéau, Bastien Durix, Tao Wu +3
We conduct a thorough study of photometric stereo under nearby point light source illumination, from modeling to numerical solution, through calibration. In the classical formulati…
Geodesic Exponential Kernels: When Curvature and Linearity Conflict
Aasa Feragen, Francois Lauze, Søren Hauberg
We consider kernel methods on general geodesic metric spaces and provide both negative and positive results. First we show that the common Gaussian kernel can only be generalized t…
Towards a theory of statistical tree-shape analysis
Aasa Feragen, Pechin Lo, Marleen de Bruijne +2
In order to develop statistical methods for shapes with a tree-structure, we construct a shape space framework for tree-like shapes and study metrics on the shape space. This shape…
Optimization over Geodesics for Exact Principal Geodesic Analysis
Stefan Sommer, François Lauze, Mads Nielsen
In fields ranging from computer vision to signal processing and statistics, increasing computational power allows a move from classical linear models to models that incorporate non…
Rang maximal pour
Francois Lauze
In this paper, I compute the last non-trivial term of the minimal free resolution of the homogeneous ideal of points of in sufficiently general position, for any , sho…