Zobrazeno 1 - 10
of 32 436
pro vyhledávání: '"Nag, A."'
Referring Expression Segmentation (RES) aims to provide a segmentation mask of the target object in an image referred to by the text (i.e., referring expression). Existing methods require large-scale mask annotations. Moreover, such approaches do not
Externí odkaz:
http://arxiv.org/abs/2407.02389
Autor:
Silber, Elizabeth A., Bowman, Daniel C., Carr, Chris G., Eisenberg, David P., Elbing, Brian R., Fernando, Benjamin, Garcés, Milton A., Haaser, Robert, Krishnamoorthy, Siddharth, Langston, Charles A., Nishikawa, Yasuhiro, Webster, Jeremy, Anderson, Jacob F., Arrowsmith, Stephen, Bazargan, Sonia, Beardslee, Luke, Beck, Brant, Bishop, Jordan W., Blom, Philip, Bracht, Grant, Chichester, David L., Christe, Anthony, Cummins, Kenneth, Cutts, James, Danielson, Lisa, Donahue, Carly, Eack, Kenneth, Fleigle, Michael, Fox, Douglas, Goel, Ashish, Green, David, Hasumi, Yuta, Hayward, Chris, Hicks, Dan, Hix, Jay, Horton, Stephen, Hough, Emalee, Huber, David P., Hunt, Madeline A., Inman, Jennifer, Islam, S. M. Ariful, Izraelevitz, Jacob, Jacob, Jamey D., Clarke, Jacob, Johnson, James, KC, Real J., Komjathy, Attila, Lam, Eric, LaPierre, Justin, Lewis, Kevin, Lewis, Richard D., Liu, Patrick, Martire, Léo, McCleary, Meaghan, McGhee, Elisa A., Mitra, Ipsita, Nag, Amitabh, Giraldo, Luis Ocampo, Pearson, Karen, Plaisir, Mathieu, Popenhagen, Sarah K., Rassoul, Hamid, Giannone, Miro Ronac, Samnani, Mirza, Schmerr, Nicholas, Spillman, Kate, Srinivas, Girish, Takazawa, Samuel K., Tempert, Alex, Turley, Reagan, Van Beek, Cory, Viens, Loïc, Walsh, Owen A., Weinstein, Nathan, White, Robert, Williams, Brian, Wilson, Trevor C., Wyckoff, Shirin, Yamamoto, Masa-yuki, Yap, Zachary, Yoshiyama, Tyler, Zeiler, Cleat
Sample Return Capsules (SRCs) entering Earth's atmosphere at hypervelocity from interplanetary space are a valuable resource for studying meteor phenomena. The 24 September 2023 arrival of the OSIRIS-REx (Origins, Spectral Interpretation, Resource Id
Externí odkaz:
http://arxiv.org/abs/2407.02420
We theoretically investigate the transport signature of single and multiple Floquet Majorana end modes~(FMEMs), appearing in an experimentally feasible setup with Rashba nanowire~(NW) placed in closed proximity to a conventional $s$-wave superconduct
Externí odkaz:
http://arxiv.org/abs/2407.01135
Autor:
Chowdhury, Sanjoy, Nag, Sayan, Dasgupta, Subhrajyoti, Chen, Jun, Elhoseiny, Mohamed, Gao, Ruohan, Manocha, Dinesh
Leveraging Large Language Models' remarkable proficiency in text-based tasks, recent works on Multi-modal LLMs (MLLMs) extend them to other modalities like vision and audio. However, the progress in these directions has been mostly focused on tasks t
Externí odkaz:
http://arxiv.org/abs/2407.01851
Music is a universal language that can communicate emotions and feelings. It forms an essential part of the whole spectrum of creative media, ranging from movies to social media posts. Machine learning models that can synthesize music are predominant
Externí odkaz:
http://arxiv.org/abs/2406.04673
Autor:
Sarkar, Subhrangsu, Capu, Roxana, Pashkevich, Yurii G., Knobel, Jonas, Cantarino, Marli R., Nag, Abhishek, Kummer, Kurt, Betto, Davide, Sant, Roberto, Nicholson, Christopher W., Khmaladze, Jarji, Zhou, Ke-jin., Brookes, Nicholas B., Monney, Claude, Bernhard, Christian
Publikováno v:
PNAS Nexus, Volume 3, Issue 4, April 2024, pgae100
Heterostructures from complex oxides allow one to combine various electronic and magnetic orders as to induce new quantum states. A prominent example is the coupling between superconducting and magnetic orders in multilayers from high-Tc cuprates and
Externí odkaz:
http://arxiv.org/abs/2404.19410
Autor:
Chen, Ziheng, Wang, Jia, Zhuang, Jun, Reddy, Abbavaram Gowtham, Silvestri, Fabrizio, Huang, Jin, Nag, Kaushiki, Kuang, Kun, Ning, Xin, Tolomei, Gabriele
The right to be forgotten (RTBF) seeks to safeguard individuals from the enduring effects of their historical actions by implementing machine-learning techniques. These techniques facilitate the deletion of previously acquired knowledge without requi
Externí odkaz:
http://arxiv.org/abs/2404.15760
Autor:
Fan, Zezhong, Li, Xiaohan, Fang, Chenhao, Biswas, Topojoy, Nag, Kaushiki, Xu, Jianpeng, Achan, Kannan
The rapid evolution of text-to-image diffusion models has opened the door of generative AI, enabling the translation of textual descriptions into visually compelling images with remarkable quality. However, a persistent challenge within this domain i
Externí odkaz:
http://arxiv.org/abs/2404.11589
This work contributes to the advancement of quantum communication by visualizing hybrid quantum noise in higher dimensions and optimizing the capacity of the quantum channel by using machine learning (ML). Employing the expectation maximization (EM)
Externí odkaz:
http://arxiv.org/abs/2404.08993
We address the role of noisy squeezing in security and performance of continuous-variable (CV) quantum key distribution (QKD) protocols. Squeezing has long been recognized for its numerous advantages in CV QKD, such as enhanced robustness against cha
Externí odkaz:
http://arxiv.org/abs/2404.05247