5 papers
Addressing Leakage in Self-Supervised Contextualized Code Retrieval
Johannes Villmow, Viola Campos, Adrian Ulges +1
We address contextualized code retrieval, the search for code snippets helpful to fill gaps in a partial input program. Our approach facilitates a large-scale self-supervised contr…
NeuralQAAD: An Efficient Differentiable Framework for High Resolution Point Cloud Compression
Nicolas Wagner, Ulrich Schwanecke
In this paper, we propose NeuralQAAD, a differentiable point cloud compression framework that is fast, robust to sampling, and applicable to high resolutions. Previous work that is…
An Open-World Extension to Knowledge Graph Completion Models
Haseeb Shah, Johannes Villmow, Adrian Ulges +2
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 unsee…
A method for automatic forensic facial reconstruction based on dense statistics of soft tissue thickness
Thomas Gietzen, Robert Brylka, Jascha Achenbach +5
In this paper, we present a method for automated estimation of a human face given a skull remain. The proposed method is based on three statistical models. A volumetric (tetrahedra…
A Region-based Gauss-Newton Approach to Real-Time Monocular Multiple Object Tracking
Henning Tjaden, Ulrich Schwanecke, Elmar Schömer +1
We propose an algorithm for real-time 6DOF pose tracking of rigid 3D objects using a monocular RGB camera. The key idea is to derive a region-based cost function using temporally c…