Search Results for author: Ulrich Schwanecke

Found 8 papers, 2 papers with code

TailorMe: Self-Supervised Learning of an Anatomically Constrained Volumetric Human Shape Model

no code implementations3 Nov 2023 Stephan Wenninger, Fabian Kemper, Ulrich Schwanecke, Mario Botsch

We instead register a volumetric anatomical template, consisting of skeleton bones and soft tissue, to the surface scans of the CAESAR database.

Dimensionality Reduction Self-Supervised Learning

Real-time Light Estimation and Neural Soft Shadows for AR Indoor Scenarios

no code implementations3 Aug 2023 Alexander Sommer, Ulrich Schwanecke, Elmar Schömer

Our pipeline consists of two main components: A light estimator and a neural soft shadow texture generator.

NeuralQAAD: An Efficient Differentiable Framework for High Resolution Point Cloud Compression

no code implementations15 Dec 2020 Nicolas Wagner, Ulrich Schwanecke

As evaluating the EMD on high resolution point clouds is intractable, we propose a divide-and-conquer approach based on k-d trees, the EM-kD, as a scaleable and fast but still reliable upper bound for the EMD.

Vocal Bursts Intensity Prediction

An Open-World Extension to Knowledge Graph Completion Models

1 code implementation19 Jun 2019 Haseeb Shah, Johannes Villmow, Adrian Ulges, Ulrich Schwanecke, Faisal Shafait

We present a novel extension to embedding-based knowledge graph completion models which enables them to perform open-world link prediction, i. e. to predict facts for entities unseen in training based on their textual description.

Knowledge Graph Completion Link Prediction +1

A method for automatic forensic facial reconstruction based on dense statistics of soft tissue thickness

no code implementations22 Aug 2018 Thomas Gietzen, Robert Brylka, Jascha Achenbach, Katja zum Hebel, Elmar Schömer, Mario Botsch, Ulrich Schwanecke, Ralf Schulze

In order to obtain a proper dense FSTT statistic, we register a skull model to each skull extracted from a CT scan and determine the FSTT value for each vertex of the skull model towards the associated extracted skin surface.

Computed Tomography (CT)

Real-Time Monocular Pose Estimation of 3D Objects Using Temporally Consistent Local Color Histograms

no code implementations ICCV 2017 Henning Tjaden, Ulrich Schwanecke, Elmar Schomer

We present a novel approach to 6DOF pose estimation and segmentation of rigid 3D objects using a single monocular RGB camera based on temporally consistent, local color histograms.

Object Pose Estimation +1

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