Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Jialu Sui"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 892-906 (2025)
Remote sensing image super-resolution (SR) is a crucial task to restore high-resolution (HR) images from low-resolution (LR) observations. Recently, the denoising diffusion probabilistic model (DDPM) has shown promising performance in image reconstru
Externí odkaz:
https://doaj.org/article/6e919dba6a8e4c5bbc05d1e208a32713
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 4457-4468 (2023)
Superresolution (SR) of remote sensing images aims to restore high-quality information from low-resolution images. Recently, it has witnessed great strides with the rapid development of deep learning (DL) techniques. Despite their good performance, t
Externí odkaz:
https://doaj.org/article/816854635425411aa7d5d40f29018d13
Publikováno v:
Remote Sensing, Vol 16, Iss 7, p 1219 (2024)
Single Image Super-Resolution (SISR) for image enhancement enables the generation of high spatial resolution in Remote Sensing (RS) images without incurring additional costs. This approach offers a practical solution to obtain high-resolution RS imag
Externí odkaz:
https://doaj.org/article/389655b9c4ee464b93f38a4d0a1f7e7b
Publikováno v:
Applied Sciences, Vol 11, Iss 12, p 5724 (2021)
Nowadays, as the number of items is increasing and the number of items that users have access to is limited, user-item preference matrices in recommendation systems are always sparse. This leads to a data sparsity problem. The latent factor analysis
Externí odkaz:
https://doaj.org/article/5cdaccbe4b3c427092115cebf7c8149f
Autor:
Emily N.C. Manoogian, Adena Zadourian, Hannah C. Lo, Nikko R. Gutierrez, Azarin Shoghi, Ashley Rosander, Aryana Pazargadi, Cameron K. Ormiston, Xinran Wang, Jialu Sui, Zhaoyi Hou, Jason G. Fleischer, Shahrokh Golshan, Pam R. Taub, Satchidananda Panda
Publikováno v:
Cell Metabolism. 34:1442-1456.e7