Zobrazeno 1 - 10
of 54 901
pro vyhledávání: '"P, Dominik"'
Human-robot collaboration enables highly adaptive co-working. The variety of resulting workflows makes it difficult to measure metrics as, e.g. makespans or idle times for multiple systems and tasks in a comparable manner. This issue can be addressed
Externí odkaz:
http://arxiv.org/abs/2410.20549
Autor:
El-Zein, Benjamin, Eckert, Dominik, Weber, Thomas, Rohleder, Maximilian, Ritschl, Ludwig, Kappler, Steffen, Maier, Andreas
Collimator detection remains a challenging task in X-ray systems with unreliable or non-available information about the detectors position relative to the source. This paper presents a physically motivated image processing pipeline for simulating the
Externí odkaz:
http://arxiv.org/abs/2411.10308
Autor:
Kowald, Dominik, Scher, Sebastian, Pammer-Schindler, Viktoria, Müllner, Peter, Waxnegger, Kerstin, Demelius, Lea, Fessl, Angela, Toller, Maximilian, Estrada, Inti Gabriel Mendoza, Simic, Ilija, Sabol, Vedran, Truegler, Andreas, Veas, Eduardo, Kern, Roman, Nad, Tomislav, Kopeinik, Simone
Artificial intelligence (AI) technologies (re-)shape modern life, driving innovation in a wide range of sectors. However, some AI systems have yielded unexpected or undesirable outcomes or have been used in questionable manners. As a result, there ha
Externí odkaz:
http://arxiv.org/abs/2411.09973
Natural language allows robot programming to be accessible to everyone. However, the inherent fuzziness in natural language poses challenges for inflexible, traditional robot systems. We focus on instructions with fuzzy time requirements (e.g., "star
Externí odkaz:
http://arxiv.org/abs/2411.09436
Modern pose estimation models are trained on large, manually-labelled datasets which are costly and may not cover the full extent of human poses and appearances in the real world. With advances in neural rendering, analysis-by-synthesis and the abili
Externí odkaz:
http://arxiv.org/abs/2411.08603
Autor:
Borysenko, Yurii, Bazhan, Nataliia, Prykhodko, Olena, Pfeiffer, Dominik, Lind, Ludwig, Birkl, Gerhard, Yakimenko, Alexander
Precise control of topologically protected excitations, such as quantum vortices in atomtronic circuits, opens new possibilities for future quantum technologies. We theoretically investigate the dynamics of Josephson vortices (rotational fluxons) ind
Externí odkaz:
http://arxiv.org/abs/2411.09186
The concentration-virial mass (c-M) relation is a fundamental scaling relation within the standard cold dark matter ($\Lambda$CDM) framework well established in numerical simulations. However, observational constraints of this relation are hampered b
Externí odkaz:
http://arxiv.org/abs/2411.08956
Autor:
Bellenbaum, Hannah M., Bachmann, Benjamin, Kraus, Dominik, Gawne, Thomas, Böhme, Maximilian P., Döppner, Tilo, Fletcher, Luke B., MacDonald, Michael J., Moldabekov, Zhandos A., Preston, Thomas R., Vorberger, Jan, Dornheim, Tobias
Warm dense matter (WDM) plays an important role in astrophysical objects and technological applications, but the rigorous diagnostics of corresponding experiments is notoriously difficult. In this work, we present a model-free analysis of x-ray Thoms
Externí odkaz:
http://arxiv.org/abs/2411.06830
Autor:
Eckert, Dominik, Ritschl, Ludwig, Syben, Christopher, Hümmer, Christian, Wicklein, Julia, Beister, Marcel, Kappler, Steffen, Stober, Sebastian
Radiologists have preferred visual impressions or 'styles' of X-ray images that are manually adjusted to their needs to support their diagnostic performance. In this work, we propose an automatic and interpretable X-ray style transfer by introducing
Externí odkaz:
http://arxiv.org/abs/2411.07072
We propose a new approach to falsify causal discovery algorithms without ground truth, which is based on testing the causal model on a pair of variables that has been dropped when learning the causal model. To this end, we use the "Leave-One-Variable
Externí odkaz:
http://arxiv.org/abs/2411.05625