Zobrazeno 1 - 10
of 1 329
pro vyhledávání: '"Fernandez, Angel"'
Autor:
Girelli, Anita, Bin, Maddalena, Filianina, Mariia, Dargasz, Michelle, Anthuparambil, Nimmi Das, Möller, Johannes, Zozulya, Alexey, Andronis, Iason, Timmermann, Sonja, Berkowicz, Sharon, Retzbach, Sebastian, Reiser, Mario, Raza, Agha Mohammad, Kowalski, Marvin, Akhundzadeh, Mohammad Sayed, Schrage, Jenny, Woo, Chang Hee, Senft, Maximilian D., Reichart, Lara Franziska, Leonau, Aliaksandr, Rajaiah, Prince Prabhu, Chèvremont, William, Seydel, Tilo, Hallmann, Jörg, Rodriguez-Fernandez, Angel, Pudell, Jan-Etienne, Brausse, Felix, Boesenberg, Ulrike, Wrigley, James, Youssef, Mohamed, Lu, Wei, Jo, Wonhyuk, Shayduk, Roman, Madsen, Anders, Lehmkühler, Felix, Paulus, Michael, Zhang, Fajun, Schreiber, Frank, Gutt, Christian, Perakis, Fivos
Understanding protein motion within the cell is crucial for predicting reaction rates and macromolecular transport in the cytoplasm. A key question is how crowded environments affect protein dynamics through hydrodynamic and direct interactions at mo
Externí odkaz:
http://arxiv.org/abs/2410.08873
Autor:
Ayuso-Martinez, Alvaro, Casanueva-Morato, Daniel, Dominguez-Morales, Juan Pedro, Jimenez-Fernandez, Angel, Jimenez-Moreno, Gabriel
Since the advent of mobile robots, obstacle detection has been a topic of great interest. It has also been a subject of study in neuroscience, where flying insects and bats could be considered two of the most interesting cases in terms of vision-base
Externí odkaz:
http://arxiv.org/abs/2409.02680
The probability hypothesis density (PHD) and Poisson multi-Bernoulli (PMB) filters are two popular set-type multi-object filters. Motivated by the fact that the multi-object filtering density after each update step in the PHD filter is a PMB without
Externí odkaz:
http://arxiv.org/abs/2407.14806
Autor:
Li, Zhuoxiao, Yao, Shanliang, Chu, Yijie, Garcia-Fernandez, Angel F., Yue, Yong, Lim, Eng Gee, Zhu, Xiaohui
In the rapidly evolving field of 3D reconstruction, 3D Gaussian Splatting (3DGS) and 2D Gaussian Splatting (2DGS) represent significant advancements. Although 2DGS compresses 3D Gaussian primitives into 2D Gaussian surfels to effectively enhance mesh
Externí odkaz:
http://arxiv.org/abs/2407.11840
Autor:
Ge, Yu, Kaltiokallio, Ossi, Xia, Yuxuan, García-Fernández, Ángel F., Kim, Hyowon, Talvitie, Jukka, Valkama, Mikko, Wymeersch, Henk, Svensson, Lennart
Simultaneous localization and mapping (SLAM) methods need to both solve the data association (DA) problem and the joint estimation of the sensor trajectory and the map, conditioned on a DA. In this paper, we propose a novel integrated approach to sol
Externí odkaz:
http://arxiv.org/abs/2407.11643
In this paper, we propose an algorithm for non-myopic sensor management for Bernoulli filtering, i.e., when there may be at most one target present in the scene. The algorithm is based on selecting the action that solves a Bellman-type minimisation p
Externí odkaz:
http://arxiv.org/abs/2405.05815
Autor:
Wang, Hao, Rodriguez-Fernandez, Angel E., Uribe, Lourdes, Deutz, André, Cortés-Piña, Oziel, Schütze, Oliver
A common goal in evolutionary multi-objective optimization is to find suitable finite-size approximations of the Pareto front of a given multi-objective optimization problem. While many multi-objective evolutionary algorithms have proven to be very e
Externí odkaz:
http://arxiv.org/abs/2405.05721
This paper considers a batch solution to the multi-object tracking problem based on sets of trajectories. Specifically, we present two offline implementations of the trajectory Poisson multi-Bernoulli mixture (TPMBM) filter for batch data based on Ma
Externí odkaz:
http://arxiv.org/abs/2312.03423
This paper proposes a metric to measure the dissimilarity between graphs that may have a different number of nodes. The proposed metric extends the generalised optimal subpattern assignment (GOSPA) metric, which is a metric for sets, to graphs. The p
Externí odkaz:
http://arxiv.org/abs/2311.07596
Autor:
Irvine, Sara J., Katagiri, Kento, Ræder, Trygve M., Boesenberg, Ulrike, Chalise, Darshan, Stanton, Jade I., Pal, Dayeeta, Hallmann, Jörg, Ansaldi, Gabriele, Brauße, Felix, Eggert, Jon H., Fang, Lichao, Folsom, Eric, Haubro, Morten, Holstad, Theodor S., Madsen, Anders, Möller, Johannes, Nielsen, Martin M., Poulsen, Henning F., Pudell, Jan-Etienne, Rodriguez-Fernandez, Angel, Schoofs, Frank, Seiboth, Frank, Wang, Yifan, Jo, Wonhyuk, Youssef, Mohamed, Zozulya, Alexey, Haldrup, Kristoffer, Dresselhaus-Marais, Leora E.
Dark field X-ray microscopy (DXFM) can visualize microstructural distortions in bulk crystals. Using the femtosecond X-ray pulses generated by X-ray free-electron lasers (XFEL), DFXM can achieve sub-{\mu}m spatial resolution and <100 fs time resoluti
Externí odkaz:
http://arxiv.org/abs/2311.03916