2 citations · 2 across the 7 of their papers we have counts for
7 papers
Learning Dense 2D-3D Correspondence for X-ray-to-CT Registration of Knee Bones
Rembert Daems, Jonas Grammens, Caro Roten +3
Recovering the 6-DoF pose of the knee bones from a plain radiograph, given the patient's segmented pre-operative CT, turns a routine low-dose image into a quantitative measurement…
Fractional Diffusion Bridge Models
Gabriel Nobis, Maximilian Springenberg, Arina Belova +5
We present Fractional Diffusion Bridge Models (FDBM), a novel generative diffusion bridge framework driven by an approximation of the rich and non-Markovian fractional Brownian mot…
Improved Allergy Wheal Detection for the Skin Prick Automated Test Device
Rembert Daems, Sven Seys, Valérie Hox +21
Background: The skin prick test (SPT) is the gold standard for diagnosing sensitization to inhalant allergies. The Skin Prick Automated Test (SPAT) device was designed for increase…
Efficient Training of Neural SDEs Using Stochastic Optimal Control
Rembert Daems, Manfred Opper, Guillaume Crevecoeur +1
We present a hierarchical, control theory inspired method for variational inference (VI) for neural stochastic differential equations (SDEs). While VI for neural SDEs is a promisin…
Variational Inference for SDEs Driven by Fractional Noise
Rembert Daems, Manfred Opper, Guillaume Crevecoeur +1
We present a novel variational framework for performing inference in (neural) stochastic differential equations (SDEs) driven by Markov-approximate fractional Brownian motion (fBM)…
CenDerNet: Center and Curvature Representations for Render-and-Compare 6D Pose Estimation
Peter De Roovere, Rembert Daems, Jonathan Croenen +3
We introduce CenDerNet, a framework for 6D pose estimation from multi-view images based on center and curvature representations. Finding precise poses for reflective, textureless o…
KeyCLD: Learning Constrained Lagrangian Dynamics in Keypoint Coordinates from Images
Rembert Daems, Jeroen Taets, Francis wyffels +1
We present KeyCLD, a framework to learn Lagrangian dynamics from images. Learned keypoints represent semantic landmarks in images and can directly represent state dynamics. We show…