Zobrazeno 1 - 10
of 434
pro vyhledávání: '"Guleryuz P"'
The proliferation of high resolution videos posts great storage and bandwidth pressure on cloud video services, driving the development of next-generation video codecs. Despite great progress made in neural video coding, existing approaches are still
Externí odkaz:
http://arxiv.org/abs/2407.07395
Autor:
Hu, Yueyu, Guleryuz, Onur G., Chou, Philip A., Tang, Danhang, Taylor, Jonathan, Maxham, Rus, Wang, Yao
Stereoscopic video conferencing is still challenging due to the need to compress stereo RGB-D video in real-time. Though hardware implementations of standard video codecs such as H.264 / AVC and HEVC are widely available, they are not designed for st
Externí odkaz:
http://arxiv.org/abs/2404.09979
Autor:
Guleryuz, Onur G., Chou, Philip A., Isik, Berivan, Hoppe, Hugues, Tang, Danhang, Du, Ruofei, Taylor, Jonathan, Davidson, Philip, Fanello, Sean
We propose sandwiching standard image and video codecs between pre- and post-processing neural networks. The networks are jointly trained through a differentiable codec proxy to minimize a given rate-distortion loss. This sandwich architecture not on
Externí odkaz:
http://arxiv.org/abs/2402.05887
Autor:
Guleryuz, Omer
Publikováno v:
Eur. Phys. J. C 84, 883 (2024)
We introduce a novel correlation, $n_s$ - $\Delta N$, connecting CMB parameters to the required total e-folds for eternal inflation. This correlation provides a robust tool for evaluating eternal (string) inflation models using CMB data and explores
Externí odkaz:
http://arxiv.org/abs/2401.17730
Autor:
Salvi, Lucia, Rossi, Giulia, Bartolini, Giovanni, Alpat, Ali Behcet, Bozkurt, Arca, Cegil, Mustafa Dogukan, Guleryuz, Ahmet Talha
The personal (or active) electronic dosimeters (PEDs) are devices used to determine the individual exposure to ionizing radiations and they are employed in hospitals, research laboratories and nuclear power plants. The PDOZ project is a personal elec
Externí odkaz:
http://arxiv.org/abs/2305.19022
Autor:
Omer Guleryuz
Publikováno v:
European Physical Journal C: Particles and Fields, Vol 84, Iss 9, Pp 1-9 (2024)
Abstract We introduce a novel correlation, $$n_{\text {s}}$$ n s - $$\Delta N$$ Δ N , connecting CMB parameters to the required total e-folds for eternal inflation. This correlation provides a robust tool for evaluating eternal (string) inflation mo
Externí odkaz:
https://doaj.org/article/614cfc3461814d85a0b0144506a8875d
We propose sandwiched video compression -- a video compression system that wraps neural networks around a standard video codec. The sandwich framework consists of a neural pre- and post-processor with a standard video codec between them. The networks
Externí odkaz:
http://arxiv.org/abs/2303.11473
Autor:
Guleryuz, Omer
Publikováno v:
Journal of Cosmology and Astroparticle Physics (JCAP) 05 (2023) 039
In this work, we present an effective field theory for string inflation with spontaneously broken supersymmetry without generating any supersymmetric anti-de Sitter vacua. In that regard, we analyze the nilpotent superfields that effectively capture
Externí odkaz:
http://arxiv.org/abs/2207.10634
Physics-informed neural networks have gained growing interest. Specifically, they are used to solve partial differential equations governing several physical phenomena. However, physics-informed neural network models suffer from several issues and ca
Externí odkaz:
http://arxiv.org/abs/2205.14148
Autor:
Shahane, Shantanu, Guleryuz, Erman, Abueidda, Diab W, Lee, Allen, Liu, Joe, Yu, Xin, Chiu, Raymond, Koric, Seid, Aluru, Narayana R, Ferreira, Placid M
Surrogate neural network-based models have been lately trained and used in a variety of science and engineering applications where the number of evaluations of a target function is limited by execution time. In cell phone camera systems, various erro
Externí odkaz:
http://arxiv.org/abs/2201.09659