3 papers
eess.IV2022
Blind Image Deconvolution Using Variational Deep Image Prior
Dong Huo, Abbas Masoumzadeh, Rafsanjany Kushol +1
Conventional deconvolution methods utilize hand-crafted image priors to constrain the optimization. While deep-learning-based methods have simplified the optimization by end-to-end…
cs.CV2021
Blind Non-Uniform Motion Deblurring using Atrous Spatial Pyramid Deformable Convolution and Deblurring-Reblurring Consistency
Dong Huo, Abbas Masoumzadeh, Yee-Hong Yang
Many deep learning based methods are designed to remove non-uniform (spatially variant) motion blur caused by object motion and camera shake without knowing the blur kernel. Some m…
cs.SI2020
Network-Based Analysis of Public Transportation Systems in North American Cities
Abbas Masoumzadeh, Tilemachos Pechlivanoglou
A comprehensive data analysis system is implemented for the extraction of information and comparison of North American public transport systems. The system is based on network repr…