Zobrazeno 1 - 10
of 226 188
pro vyhledávání: '"Karim, A. A."'
Autor:
Wu, Zexuan, Dong, Subo, Mérand, A., Kochanek, Christopher S., Mróz, Przemek, Shangguan, Jinyi, Christie, Grant, Tan, Thiam-Guan, Bensby, Thomas, Bland-Hawthorn, Joss, Buder, Sven, Eisenhauer, Frank, Gould, Andrew P., Kos, Janez, Natusch, Tim, Sharma, Sanjib, Udalski, Andrzej, Woillez, J., Buckley, David A. H., Thompson, I. B., Dayem, Karim Abd El, Alecian, Evelyne, Babusiaux, Carine, Berdeu, Anthony, Berger, Jean-Philippe, Bourdarot, Guillaume, Brandner, Wolfgang, Clavel, Maica, Davies, Richard I., Defrère, Denis, Dougados, Catherine, Drescher, Antonia, Eckart, Andreas, Fabricius, Maximilian, Feuchtgruber, Helmut, Schreiber, Natascha M. Förster, Garcia, Paulo, Genzel, Reinhard, Gillessen, Stefan, Heißel, Gernot, Hönig, Sebastian, Houlle, Mathis, Kervella, Pierre, Kreidberg, Laura, Lacour, Sylvestre, Lai, Olivier, Laugier, Romain, Bouquin, Jean-Baptiste Le, Leftley, James, Lopez, Bruno, Lutz, Dieter, Mang, Felix, Millour, Florentin, Montargès, Miguel, Nowacki, Hugo, Nowak, Mathias, Ott, Thomas, Paumard, Thibaut, Perraut, Karine, Perrin, Guy, Petrov, Romain, Petrucci, Pierre-Olivier, Pourre, Nicolas, Rabien, Sebastian, Ribeiro, Diogo C., Robbe-Dubois, Sylvie, Bordoni, Matteo Sadun, Santos, Daryl, Sauter, Jonas, Scigliuto, Jules, Shimizu, Taro T., Straubmeier, Christian, Sturm, Eckhard, Subroweit, Matthias, Sykes, Calvin, Tacconi, Linda, Vincent, Frédéric, Widmann, Felix
We resolve the multiple images of the binary-lens microlensing event ASASSN-22av using the GRAVITY instrument of the Very Large Telescope Interferometer (VLTI). The light curves show weak binary perturbations, complicating the analysis, but the joint
Externí odkaz:
http://arxiv.org/abs/2409.13015
Autor:
The GRAVITY Collaboration, Dayem, Karim Abd El, Abuter, Roberto, Aimar, Nicolas, Seoane, Pau Amaro, Amorim, Antonio, Beck, Julie, Berger, Jean Philippe, Bonnet, Henri, Bourdarot, Guillaume, Brandner, Wolfgang, Cardoso, Vitor, Dolcetta, Roberto Capuzzo, Clénet, Yann, Davies, Ric, de Zeeuw, Tim, Drescher, Antonia, Eckart, Andreas, Eisenhauer, Frank, Feuchtgruber, Helmut, Finger, Gert, Schreiber, Natascha M. Förster, Foschi, Arianna, Gao, Feng, Garcia, Paulo, Gendron, Eric, Genzel, Reinhard, Gillessen, Stefan, Hartl, Michael, Haubois, Xavier, Haussman, Frank, Heißel, Gernot, Hennig, Thomas, Hippler, Stefan, Horrobin, Matthew, Jochum, Lieselotte, Jocou, Laurent, Kaufer, Andreas, Kervella, Pierre, Lacour, Sylvestre, Lapeyrère, Vincent, Bouquin, Jean B. Le, Léna, Pierre, Lutz, Dieter, Mang, Felix, More, Nikhil, Ott, Thomas, Paumard, Thibaut, Perraut, Karine, Perrin, Guy, Pfuhl, Oliver, Rabien, Sebastien, Ribeiro, Diogo C., Bordoni, Matteo Sadun, Scheithauer, Silvia, Shangguan, Jinyi, Shimizu, Taro, Stadler, Julia, Straub, Odele, Straubmeier, Christian, Sturm, Eckhard, Tacconi, Linda J., Urso, Irene, Vincent, Frederic, Von Fellenberg, Sebastiano D., Widmann, Felix, Wieprecht, Ekkehard, Woillez, Julien, Zhang, Fupeng
Studying the orbital motion of stars around Sagittarius A* in the Galactic Center provides a unique opportunity to probe the gravitational potential near the supermassive black hole at the heart of our Galaxy. Interferometric data obtained with the G
Externí odkaz:
http://arxiv.org/abs/2409.12261
Autor:
Ayçoberry, Emma, S., Pranjal R., Benabed, Karim, Dubois, Yohan, Krause, Elisabeth, Eifler, Tim
Statistical properties of LSS serve as powerful tools to constrain the cosmological properties of our Universe. Tracing the gas pressure, the tSZ effect is a biased probe of mass distribution and can be used to test the physics of feedback or cosmolo
Externí odkaz:
http://arxiv.org/abs/2409.11472
Autor:
Garcia, Gonzalo Martin, Zeid, Karim Abou, Schmidt, Christian, de Geus, Daan, Hermans, Alexander, Leibe, Bastian
Recent work showed that large diffusion models can be reused as highly precise monocular depth estimators by casting depth estimation as an image-conditional image generation task. While the proposed model achieved state-of-the-art results, high comp
Externí odkaz:
http://arxiv.org/abs/2409.11355
Automatic network management strategies have become paramount for meeting the needs of innovative real-time and data-intensive applications, such as in the Internet of Things. However, meeting the ever-growing and fluctuating demands for data and ser
Externí odkaz:
http://arxiv.org/abs/2409.11208
Autor:
Bai, Jieyun, Zhou, Zihao, Ou, Zhanhong, Koehler, Gregor, Stock, Raphael, Maier-Hein, Klaus, Elbatel, Marawan, Martí, Robert, Li, Xiaomeng, Qiu, Yaoyang, Gou, Panjie, Chen, Gongping, Zhao, Lei, Zhang, Jianxun, Dai, Yu, Wang, Fangyijie, Silvestre, Guénolé, Curran, Kathleen, Sun, Hongkun, Xu, Jing, Cai, Pengzhou, Jiang, Lu, Lan, Libin, Ni, Dong, Zhong, Mei, Chen, Gaowen, Campello, Víctor M., Lu, Yaosheng, Lekadir, Karim
Segmentation of the fetal and maternal structures, particularly intrapartum ultrasound imaging as advocated by the International Society of Ultrasound in Obstetrics and Gynecology (ISUOG) for monitoring labor progression, is a crucial first step for
Externí odkaz:
http://arxiv.org/abs/2409.10980
Large Language Model (LLM)-based recommendation systems provide more comprehensive recommendations than traditional systems by deeply analyzing content and user behavior. However, these systems often exhibit biases, favoring mainstream content while
Externí odkaz:
http://arxiv.org/abs/2409.10825
In this paper, we address a challenging task, synchronous motion captioning, that aim to generate a language description synchronized with human motion sequences. This task pertains to numerous applications, such as aligned sign language transcriptio
Externí odkaz:
http://arxiv.org/abs/2409.09177
In this paper we show that, if an increasing sequence $\Lambda=(\lambda_k)_{k\in\mathbb{Z}}$ has gaps going to infinity $\lambda_{k+1}-\lambda_k\to +\infty$ when $k\to\pm\infty$, then for every $T>0$ and every sequence $(a_k)_{k\in\mathbb{Z}}$ and ev
Externí odkaz:
http://arxiv.org/abs/2409.07093
Autor:
Jiang, Jianmei, Wang, Huijin, Bai, Jieyun, Long, Shun, Chen, Shuangping, Campello, Victor M., Lekadir, Karim
The segmentation of the pubic symphysis and fetal head (PSFH) constitutes a pivotal step in monitoring labor progression and identifying potential delivery complications. Despite the advances in deep learning, the lack of annotated medical images hin
Externí odkaz:
http://arxiv.org/abs/2409.06928