Zobrazeno 1 - 10
of 9 767
pro vyhledávání: '"Julian, F."'
This paper presents a comprehensive analysis of RR Lep and BF Vel, two short-period semi-detached oscillating Algols (oEA stars), which are shown to be triple systems. Spectral types of their primaries were determined and radial velocities calculated
Externí odkaz:
http://arxiv.org/abs/2409.04359
Autor:
Roldan, Ignacio, Palffy, Andras, Kooij, Julian F. P., Gavrila, Dariu M., Fioranelli, Francesco, Yarovoy, Alexander
Publikováno v:
IEEE Transactions on Radar Systems, vol. 2, pp. 1062-1075, 2024
The detection of multiple extended targets in complex environments using high-resolution automotive radar is considered. A data-driven approach is proposed where unlabeled synchronized lidar data is used as ground truth to train a neural network with
Externí odkaz:
http://arxiv.org/abs/2406.04723
Given a ground-level query image and a geo-referenced aerial image that covers the query's local surroundings, fine-grained cross-view localization aims to estimate the location of the ground camera inside the aerial image. Recent works have focused
Externí odkaz:
http://arxiv.org/abs/2406.00474
In Visual Place Recognition (VPR) the pose of a query image is estimated by comparing the image to a map of reference images with known reference poses. As is typical for image retrieval problems, a feature extractor maps the query and reference imag
Externí odkaz:
http://arxiv.org/abs/2404.00546
Autor:
Roldan, Ignacio, Palffy, Andras, Kooij, Julian F. P., Gavrila, Dariu M., Fioranelli, Francesco, Yarovoy, Alexander
Publikováno v:
2024 IEEE Radar Conference (RadarConf24)
In this paper, we address the limitations of traditional constant false alarm rate (CFAR) target detectors in automotive radars, particularly in complex urban environments with multiple objects that appear as extended targets. We propose a data-drive
Externí odkaz:
http://arxiv.org/abs/2402.12970
Autor:
White, Grayson W., Yamamoto, Josh K., Elsyad, Dinan H., Schmitt, Julian F., Korsgaard, Niels H., Hu, Jie Kate, Gaines III, George C., Frescino, Tracey S., McConville, Kelly S.
The United States (US) Forest Inventory & Analysis Program (FIA) collects data on and monitors the trends of forests in the US. FIA is increasingly interested in monitoring forest attributes such as biomass at fine geographic and temporal scales, res
Externí odkaz:
http://arxiv.org/abs/2402.03263
Autonomous vehicles rely on accurate trajectory prediction to inform decision-making processes related to navigation and collision avoidance. However, current trajectory prediction models show signs of overfitting, which may lead to unsafe or subopti
Externí odkaz:
http://arxiv.org/abs/2402.01397
The estimation of probability density functions is a fundamental problem in science and engineering. However, common methods such as kernel density estimation (KDE) have been demonstrated to lack robustness, while more complex methods have not been e
Externí odkaz:
http://arxiv.org/abs/2401.10566
Autor:
Impertro, Alexander, Karch, Simon, Wienand, Julian F., Huh, SeungJung, Schweizer, Christian, Bloch, Immanuel, Aidelsburger, Monika
Publikováno v:
Phys. Rev. Lett. 133, 063401 (2024)
Quantum gas microscopes have revolutionized quantum simulations with ultracold atoms, allowing to measure local observables and snapshots of quantum states. However, measurements so far were mostly carried out in the occupation basis. Here, we demons
Externí odkaz:
http://arxiv.org/abs/2312.13268
We introduce MuVieCAST, a modular multi-view consistent style transfer network architecture that enables consistent style transfer between multiple viewpoints of the same scene. This network architecture supports both sparse and dense views, making i
Externí odkaz:
http://arxiv.org/abs/2312.05046