10 citations · 11 across the 4 of their papers we have counts for
4 papers
RIPE++: Reinforced Keypoint Learning from Positive Pairs Only
Johannes Künzel, Peter Eisert, Anna Hilsmann
Sparse keypoint extraction and matching underpin core tasks in geometric computer vision, including structure-from-motion, visual SLAM, augmented reality, and medical image registr…
BTSeg: Barlow Twins Regularization for Domain Adaptation in Semantic Segmentation
Johannes Künzel, Anna Hilsmann, Peter Eisert
We introduce BTSeg (Barlow Twins regularized Segmentation), an innovative, semi-supervised training approach enhancing semantic segmentation models in order to effectively tackle a…
System for 3D Acquisition and 3D Reconstruction using Structured Light for Sewer Line Inspection
Johannes Künzel, Darko Vehar, Rico Nestler +3
The assessment of sewer pipe systems is a highly important, but at the same time cumbersome and error-prone task. We introduce an innovative system based on single-shot structured…
From Explanations to Segmentation: Using Explainable AI for Image Segmentation
Clemens Seibold, Johannes Künzel, Anna Hilsmann +1
The new era of image segmentation leveraging the power of Deep Neural Nets (DNNs) comes with a price tag: to train a neural network for pixel-wise segmentation, a large amount of t…