Zobrazeno 1 - 10
of 996
pro vyhledávání: '"Hanji, A."'
Publikováno v:
Journal of High Energy Astrophysics 41 (2024) 22-29
We investigate the cyclotron resonant scattering features (CRSFs) of the accreting X-ray pulsar Cen X-3 and significantly detect the 29 keV cyclotron line features in the hard X-ray averaged spectroscopy studies based on the recent Insight-HXMT obser
Externí odkaz:
http://arxiv.org/abs/2410.20520
Tidal disruption events (TDEs), characterized by their luminous transients and high-velocity outflows, have emerged as plausible sources of high-energy neutrinos contributing to the diffuse neutrino. In this study, we calculate the contribution of TD
Externí odkaz:
http://arxiv.org/abs/2407.11410
Publikováno v:
SIGGRAPH 2024 Technical Papers, Article 129
ColorVideoVDP is a video and image quality metric that models spatial and temporal aspects of vision, for both luminance and color. The metric is built on novel psychophysical models of chromatic spatiotemporal contrast sensitivity and cross-channel
Externí odkaz:
http://arxiv.org/abs/2401.11485
Autor:
Zhou, Chenliang, Zhong, Fangcheng, Hanji, Param, Guo, Zhilin, Fogarty, Kyle, Sztrajman, Alejandro, Gao, Hongyun, Oztireli, Cengiz
We propose FrePolad: frequency-rectified point latent diffusion, a point cloud generation pipeline integrating a variational autoencoder (VAE) with a denoising diffusion probabilistic model (DDPM) for the latent distribution. FrePolad simultaneously
Externí odkaz:
http://arxiv.org/abs/2311.12090
This study investigates the impact of loss-framing and individual risk attitude on willingness- to purchase insurance products utilizing a game-like interface as choice architecture. The application presents events as experienced in real life. Both f
Externí odkaz:
http://arxiv.org/abs/2310.13300
Autor:
Hanji, Param, Mantiuk, Rafał K.
Publikováno v:
Transactions on Computational Imaging, 9, pp.721-731, 2023
Merging multi-exposure image stacks into a high dynamic range (HDR) image requires knowledge of accurate exposure times. When exposure times are inaccurate, for example, when they are extracted from a camera's EXIF metadata, the reconstructed HDR ima
Externí odkaz:
http://arxiv.org/abs/2308.02968
Autor:
Zhong, Fangcheng, Fogarty, Kyle, Hanji, Param, Wu, Tianhao, Sztrajman, Alejandro, Spielberg, Andrew, Tagliasacchi, Andrea, Bosilj, Petra, Oztireli, Cengiz
While deep learning techniques have become extremely popular for solving a broad range of optimization problems, methods to enforce hard constraints during optimization, particularly on deep neural networks, remain underdeveloped. Inspired by the ric
Externí odkaz:
http://arxiv.org/abs/2306.08943
Publikováno v:
AIMS Mathematics, Vol 9, Iss 10, Pp 27607-27626 (2024)
To identify critical genomes that influence a cancer patient's survival time, feature screening methods play a vital role in this biomedical field. Most of the current research relies on a fixed survival function model, which limits its universality
Externí odkaz:
https://doaj.org/article/c28ba8738ecd4ef3bd51763997c6d94e
Publikováno v:
Journal of Pure and Applied Microbiology, Vol 18, Iss 3, Pp 1996-2004 (2024)
The coronavirus disease of 2019 (COVID-19) emerged as a pandemic at the end of 2019. The clinical presentation of COVID-19 was comparable to bacterial infections, and due to the ambiguity of an effective treatment method, the healthcare professionals
Externí odkaz:
https://doaj.org/article/10604990f1c14a85a8bf97c35580515e
High-Dynamic-Range Visual-Difference-Predictor version 3, or HDR-VDP-3, is a visual metric that can fulfill several tasks, such as full-reference image/video quality assessment, prediction of visual differences between a pair of images, or prediction
Externí odkaz:
http://arxiv.org/abs/2304.13625