Zobrazeno 1 - 10
of 245 157
pro vyhledávání: '"Not, Didier"'
In this work we establish a version of the Bartnik Splitting Conjecture in the context of Lorentzian length spaces. In precise terms, we show that under an appropriate timelike completeness condition, a globally hyperbolic Lorentzian length space of
Externí odkaz:
http://arxiv.org/abs/2412.08967
We prove that there is no relaxation gap between a quasi-dissipative nonlinear evolution equation in a Hilbert space and its linear Liouville equation reformulation on probability measures. In other words, strong and generalized solutions of such equ
Externí odkaz:
http://arxiv.org/abs/2412.07361
Multimodal Large Language Models (MLLMs) have made significant progress in tasks such as image captioning and question answering. However, while these models can generate realistic captions, they often struggle with providing precise instructions, pa
Externí odkaz:
http://arxiv.org/abs/2412.06613
The primary challenge in Video Object Detection (VOD) is effectively exploiting temporal information to enhance object representations. Traditional strategies, such as aggregating region proposals, often suffer from feature variance due to the inclus
Externí odkaz:
http://arxiv.org/abs/2412.04915
Autor:
FASER Collaboration, Abraham, Roshan Mammen, Ai, Xiaocong, Anders, John, Antel, Claire, Ariga, Akitaka, Ariga, Tomoko, Atkinson, Jeremy, Bernlochner, Florian U., Boeckh, Tobias, Boyd, Jamie, Brenner, Lydia, Burger, Angela, Cadoux, Franck, Cardella, Roberto, Casper, David W., Cavanagh, Charlotte, Chen, Xin, Chouhan, Dhruv, Coccaro, Andrea, Débieux, Stephane, D'Onofrio, Monica, Desai, Ansh, Dmitrievsky, Sergey, Dobre, Radu, Eley, Sinead, Favre, Yannick, Fellers, Deion, Feng, Jonathan L., Fenoglio, Carlo Alberto, Ferrere, Didier, Fieg, Max, Filali, Wissal, Firu, Elena, Garabaglu, Ali, Gibson, Stephen, Gonzalez-Sevilla, Sergio, Gornushkin, Yuri, Gwilliam, Carl, Hayakawa, Daiki, Holzbock, Michael, Hsu, Shih-Chieh, Hu, Zhen, Iacobucci, Giuseppe, Inada, Tomohiro, Iodice, Luca, Jakobsen, Sune, Joos, Hans, Kajomovitz, Enrique, Kawahara, Hiroaki, Keyken, Alex, Kling, Felix, Köck, Daniela, Kontaxakis, Pantelis, Kose, Umut, Kotitsa, Rafaella, Kuehn, Susanne, Kugathasan, Thanushan, Levinson, Lorne, Li, Ke, Liu, Jinfeng, Liu, Yi, Lutz, Margaret S., MacDonald, Jack, Magliocca, Chiara, Mäkelä, Toni, McCoy, Lawson, McFayden, Josh, Medina, Andrea Pizarro, Milanesio, Matteo, Moretti, Théo, Nakamura, Mitsuhiro, Nakano, Toshiyuki, Nevay, Laurie, Ohashi, Ken, Otono, Hidetoshi, Pang, Hao, Paolozzi, Lorenzo, Pawan, Pawan, Petersen, Brian, Preda, Titi, Prim, Markus, Queitsch-Maitland, Michaela, Rokujo, Hiroki, Rubbia, André, Sabater-Iglesias, Jorge, Sato, Osamu, Scampoli, Paola, Schmieden, Kristof, Schott, Matthias, Sfyrla, Anna, Sgalaberna, Davide, Shamim, Mansoora, Shively, Savannah, Takubo, Yosuke, Tarannum, Noshin, Theiner, Ondrej, Torrence, Eric, Martinez, Oscar Ivan Valdes, Vasina, Svetlana, Vormwald, Benedikt, Wang, Di, Wang, Yuxiao, Welch, Eli, Wielers, Monika, Xu, Yue, Zahorec, Samuel, Zambito, Stefano, Zhang, Shunliang
This letter presents the measurement of the energy-dependent neutrino-nucleon cross section in tungsten and the differential flux of muon neutrinos and anti-neutrinos. The analysis is performed using proton-proton collision data at a center-of-mass e
Externí odkaz:
http://arxiv.org/abs/2412.03186
In this article we are interested for the numerical computation of spectra of non-self adjoint quadratic operators, in two and three spatial dimensions. Indeed, in the multidimensional case very few results are known on the location of the eignevalue
Externí odkaz:
http://arxiv.org/abs/2412.02465
Autor:
Wang, Shaoxiang, Xie, Yaxu, Chang, Chun-Peng, Millerdurai, Christen, Pagani, Alain, Stricker, Didier
Neural implicit fields have recently emerged as a powerful representation method for multi-view surface reconstruction due to their simplicity and state-of-the-art performance. However, reconstructing thin structures of indoor scenes while ensuring r
Externí odkaz:
http://arxiv.org/abs/2412.00242
Autor:
Billot, Nicolas, Hellmich, Stephan, Benz, Willy, Fortier, Andrea, Ehrenreich, David, Broeg, Christopher, Heitzmann, Alexis, Bekkelien, Anja, Brandeker, Alexis, Alibert, Yann, Alonso, Roi, Bárczy, Tamas, Navascues, David Barrado, Barros, Susana C. C., Baumjohann, Wolfgang, Biondi, Federico, Borsato, Luca, Cameron, Andrew Collier, van Damme, Carlos Corral, Correia, Alexandre C. M., Csizmadia, Szilard, Cubillos, Patricio E., Davies, Melvyn B., Deleuil, Magali, Deline, Adrien, Demangeon, Olivier D. S., Demory, Brice-Olivier, Derekas, Aliz, Edwards, Billy, Egger, Jo Ann, Erikson, Anders, Fossati, Luca, Fridlund, Malcolm, Gandolfi, Davide, Gazeas, Kosmas, Gillon, Michaël, Güdel, Manuel, Günther, Maximilian N., Helling, Ch., Isaak, Kate G., Kiss, Laszlo L., Korth, Judith, Lam, Kristine W. F., Laskar, Jacques, Etangs, Alain Lecavelier des, Lendl, Monika, Magrin, Demetrio, Maxted, Pierre F. L., Mecina, Marko, Merín, Bruno, Mordasini, Christoph, Nascimbeni, Valerio, Olofsson, Göran, Ottensamer, Roland, Pagano, Isabella, Pallé, Enric, Peter, Gisbert, Piazza, Daniele, Piotto, Giampaolo, Pollacco, Don, Queloz, Didier, Ragazzoni, Roberto, Rando, Nicola, Rauer, Heike, Ribas, Ignasi, Rieder, Martin, Santos, Nuno C., Scandariato, Gaetano, Ségransan, Damien, Simon, Attila E., Smith, Alexis M. S., Sousa, Sérgio G., Stalport, Manu, Sulis, Sophia, Szabó, Gyula M., Udry, Stéphane, Ulmer, Bernd, Ulmer-Moll, Solène, Van Grootel, Valérie, Venturini, Julia, Villaver, Eva, Walton, Nicholas A., Wilson, Thomas G.
Publikováno v:
Journal of Space Safety Engineering, Volume 11, Issue 3, September 2024, Pages 498-506
The CHaracterising ExOPlanet Satellite (CHEOPS) is a partnership between the European Space Agency and Switzerland with important contributions by 10 additional ESA member States. It is the first S-class mission in the ESA Science Programme. CHEOPS h
Externí odkaz:
http://arxiv.org/abs/2411.18326
Autor:
Sinha, Sankalp, Khan, Mohammad Sadil, Usama, Muhammad, Sam, Shino, Stricker, Didier, Ali, Sk Aziz, Afzal, Muhammad Zeshan
Generating high-fidelity 3D content from text prompts remains a significant challenge in computer vision due to the limited size, diversity, and annotation depth of the existing datasets. To address this, we introduce MARVEL-40M+, an extensive datase
Externí odkaz:
http://arxiv.org/abs/2411.17945
In autonomous driving, environment perception has significantly advanced with the utilization of deep learning techniques for diverse sensors such as cameras, depth sensors, or infrared sensors. The diversity in the sensor stack increases the safety
Externí odkaz:
http://arxiv.org/abs/2411.17610