Zobrazeno 1 - 10
of 13 874
pro vyhledávání: '"A. Weinmann"'
Developing robust drone detection systems is often constrained by the limited availability of large-scale annotated training data and the high costs associated with real-world data collection. However, leveraging synthetic data generated via game eng
Externí odkaz:
http://arxiv.org/abs/2411.05633
Autor:
Z. Chen, C. B. Curry, R. Zhang, F. Treffert, N. Stojanovic, S. Toleikis, R. Pan, M. Gauthier, E. Zapolnova, L. E. Seipp, A. Weinmann, M. Z. Mo, J. B. Kim, B. B. L. Witte, S. Bajt, S. Usenko, R. Soufli, T. Pardini, S. Hau-Riege, C. Burcklen, J. Schein, R. Redmer, Y. Y. Tsui, B. K. Ofori-Okai, S. H. Glenzer
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-8 (2021)
The electrical conductivity is critical to understand warm dense matter, but the accurate measurement is extremely challenging. Here the authors use multi-cycle THz pulses to measure the conductivity of gold foils strongly heated by free-electron las
Externí odkaz:
https://doaj.org/article/1cc4d842661f4f26844a41649fcbb9bb
This work aims to present a three-dimensional vehicle dynamics state estimation under varying signal quality. Few researchers have investigated the impact of three-dimensional road geometries on the state estimation and, thus, neglect road inclinatio
Externí odkaz:
http://arxiv.org/abs/2408.14885
We propose a novel cross-spectral rendering framework based on 3D Gaussian Splatting (3DGS) that generates realistic and semantically meaningful splats from registered multi-view spectrum and segmentation maps. This extension enhances the representat
Externí odkaz:
http://arxiv.org/abs/2408.06975
Autor:
Leumer, Nico G., Basko, Denis M., Jalabert, Rodolfo A., Weinmann, Dietmar, Whitney, Robert S.
Spatially-resolved heating and cooling in nanostructures is nowadays measured with various nanoscale thermometry techniques, including scanning thermometry. Yet the most commonly used theory of nanoscale heating and thermoelectricity -- Landauer scat
Externí odkaz:
http://arxiv.org/abs/2407.10192
Autor:
Polushko, Vladyslav, Jenal, Alexander, Bongartz, Jens, Weber, Immanuel, Hatic, Damjan, Rösch, Ronald, März, Thomas, Rauhut, Markus, Weinmann, Andreas
Floods are an increasingly common global threat, causing emergencies and severe damage to infrastructure. During crises, organisations such as the World Food Programme use remotely sensed imagery, typically obtained through drones, for rapid situatio
Externí odkaz:
http://arxiv.org/abs/2407.05007
Autor:
Weinmann, Timon Ruben
We review some basic ideas from the theory of overfilling families and use the special case of coherent states to prove Weyl asymptotics for the euclidean Laplacian and the hyperbolic Laplacian on a domain with Dirichlet boundary conditions.
Externí odkaz:
http://arxiv.org/abs/2406.16657
Publikováno v:
Workshop Camera Traps, AI and Ecology 2023
The bilateral asymmetry of flanks of animals with visual body marks that uniquely identify an individual, complicates tasks like population estimations. Automatically generated additional information on the visible side of the animal would improve th
Externí odkaz:
http://arxiv.org/abs/2406.13588
Autor:
Doell, Michael, Kuehn, Dominik, Suessle, Vanessa, Burnett, Matthew J., Downs, Colleen T., Weinmann, Andreas, Hergenroether, Elke
Publikováno v:
International Conferences in Central Europe on Computer Graphics, Visualization and Computer Vision 2024
Analyses for biodiversity monitoring based on passive acoustic monitoring (PAM) recordings is time-consuming and challenged by the presence of background noise in recordings. Existing models for sound event detection (SED) worked only on certain avia
Externí odkaz:
http://arxiv.org/abs/2406.13579
Publikováno v:
2024 IEEE International Conference on Image Processing (ICIP)
Predominant methods for image-based drone detection frequently rely on employing generic object detection algorithms like YOLOv5. While proficient in identifying drones against homogeneous backgrounds, these algorithms often struggle in complex, high
Externí odkaz:
http://arxiv.org/abs/2406.11641