no code implementations • 21 Dec 2023 • Klaus-Dieter Sommer, Peter Harris, Sascha Eichstädt, Roland Füssl, Tanja Dorst, Andreas Schütze, Michael Heizmann, Nadine Schiering, Andreas Maier, Yuhui Luo, Christos Tachtatzis, Ivan Andonovic, Gordon Gourlay
This paradigm shift holds true in particular for the digital future of measurement in all spheres of our lives and the environment, where data provided by large and complex interconnected systems of sensors are to be analysed.
no code implementations • 7 Jun 2023 • Lanxiao Li, Michael Heizmann
Moreover, we propose a new method to generate 3D scenes with spherical harmonics.
no code implementations • 17 May 2023 • Ahmed J. Afifi, Samuel T. Thiele, Aldino Rizaldy, Sandra Lorenz, Pedram Ghamisi, Raimon Tolosana-Delgado, Moritz Kirsch, Richard Gloaguen, Michael Heizmann
To address these challenges, we present Tinto, a multi-sensor benchmark digital outcrop dataset designed to facilitate the development and validation of deep learning approaches for geological mapping, especially for non-structured 3D data like point clouds.
no code implementations • 28 Feb 2023 • Lanxiao Li, Michael Heizmann
Our work provides a new baseline for future research on transformers for point clouds.
no code implementations • 11 Jan 2023 • Chengzhi Wu, Kanran Zhou, Jan-Philipp Kaiser, Norbert Mitschke, Jan-Felix Klein, Julius Pfrommer, Jürgen Beyerer, Gisela Lanza, Michael Heizmann, Kai Furmans
To enable automatic disassembly of different product types with uncertain conditions and degrees of wear in remanufacturing, agile production systems that can adapt dynamically to changing requirements are needed.
1 code implementation • 11 Jul 2022 • Lanxiao Li, Michael Heizmann
Self-supervised pre-training for 3D vision has drawn increasing research interest in recent years.
1 code implementation • 18 Mar 2021 • Maximilian Schambach, Jiayang Shi, Michael Heizmann
In this application, the spectrally coded light field camera can be interpreted as a single-shot spectral depth camera.