2 citations · 2 across the 1 of their papers we have counts for
3 papers
cs.LG2021
Provably Convergent Algorithms for Solving Inverse Problems Using Generative Models
Viraj Shah, Rakib Hyder, M. Salman Asif +1
The traditional approach of hand-crafting priors (such as sparsity) for solving inverse problems is slowly being replaced by the use of richer learned priors (such as those modeled…
eess.IV2020
Solving Phase Retrieval with a Learned Reference
Rakib Hyder, Zikui Cai, M. Salman Asif
Fourier phase retrieval is a classical problem that deals with the recovery of an image from the amplitude measurements of its Fourier coefficients. Conventional methods solve this…
eess.IV2020★ 2 cited
Learning Illumination Patterns for Coded Diffraction Phase Retrieval
Zikui Cai, Rakib Hyder, M. Salman Asif
Signal recovery from nonlinear measurements involves solving an iterative optimization problem. In this paper, we present a framework to optimize the sensing parameters to improve…