1 code implementation • 6 Oct 2020 • Christoph Heindl, Lukas Brunner, Sebastian Zambal, Josef Scharinger
Solving complex computer vision tasks by deep learning techniques relies on large amounts of (supervised) image data, typically unavailable in industrial environments.
no code implementations • 11 Oct 2019 • Sebastian Zambal, Christoph Heindl, Christian Eitzinger, Josef Scharinger
This leads to an appealing method that scales well with new defect types and measurement devices and requires little real world data for training.
1 code implementation • 3 Jul 2019 • Christoph Heindl, Sebastian Zambal, Josef Scharinger
This work considers robot keypoint estimation on color images as a supervised machine learning task.
1 code implementation • 13 Feb 2019 • Christoph Heindl, Sebastian Zambal, Thomas Ponitz, Andreas Pichler, Josef Scharinger
This paper considers the task of locating articulated poses of multiple robots in images.