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- Technical University of MunichDE60 papers
- Ludwig-Maximilians-Universität MünchenDE16 papers
- Centre National de la Recherche ScientifiqueFR9 papers
- Frauenklinik der Technischen Universität MünchenDE8 papers
- Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)DE7 papers
- Technische Universität DresdenDE7 papers
- University of CambridgeGB7 papers
- California Institute of TechnologyUS6 papers
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- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR6 papers
- Université Paris-SaclayFR6 papers
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7 papers · 1 filter
Gromov Hyperbolicity, Geodesic Defect, and Apparent Pairs in Vietoris-Rips Filtrations
Ulrich Bauer, Fabian Roll
Motivated by computational aspects of persistent homology for Vietoris-Rips filtrations, we generalize a result of Eliyahu Rips on the contractibility of Vietoris-Rips complexes of…
Tight quasi-universality of Reeb graph distances
Ulrich Bauer, Håvard Bakke Bjerkevik, Benedikt Fluhr
We establish tight bi-Lipschitz bounds certifying quasi-universality (universality up to a constant factor) for various distances between Reeb graphs: the interleaving distance, th…
Modelling airborne transmission of SARS-CoV-2 at a local scale
Simon Rahn, Marion Gödel, Gerta Köster +1
The coronavirus disease (COVID-19) pandemic has changed our lives and still poses a challenge to science. Numerous studies have contributed to a better understanding of the pandemi…
Coupling Microscopic Mobility and Mobile Network Emulation for Pedestrian Communication Applications
Matthias Rupp, Stefan Schuhbäck, Lars Wischhof
Network emulation is a well-established method for demonstrating and testing real devices and mobile apps in a controlled scenario. This paper reports preliminary results for an op…
Susceptibility to Image Resolution in Face Recognition and Trainings Strategies
Martin Knoche, Stefan Hörmann, Gerhard Rigoll
Face recognition approaches often rely on equal image resolution for verifying faces on two images. However, in practical applications, those image resolutions are usually not in t…
Remote Sensing Image Classification with the SEN12MS Dataset
Michael Schmitt, Yu-Lun Wu
Image classification is one of the main drivers of the rapid developments in deep learning with convolutional neural networks for computer vision. So is the analogous task of scene…