most citedDeep Algorithm Unrolling for Blind Image Deblurring

16 citations · 19 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CV2021

Deep Algorithm Unrolling for Biomedical Imaging

Yuelong Li, Or Bar-Shira, Vishal Monga +1

In this chapter, we review biomedical applications and breakthroughs via leveraging algorithm unrolling, an important technique that bridges between traditional iterative algorithm…

eess.IV2019

Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing

Vishal Monga, Yuelong Li, Yonina C. Eldar

Deep neural networks provide unprecedented performance gains in many real world problems in signal and image processing. Despite these gains, future development and practical deplo…

cs.CV2019

Robust Alignment for Panoramic Stitching via an Exact Rank Constraint

Yuelong Li, Mohammad Tofighi, Vishal Monga

We study the problem of image alignment for panoramic stitching. Unlike most existing approaches that are feature-based, our algorithm works on pixels directly, and accounts for er…

cs.CV20193 cited

An Algorithm Unrolling Approach to Deep Image Deblurring

Yuelong Li, Mohammad Tofighi, Vishal Monga +1

While neural networks have achieved vastly enhanced performance over traditional iterative methods in many cases, they are generally empirically designed and the underlying structu…

eess.IV201916 cited

Deep Algorithm Unrolling for Blind Image Deblurring

Yuelong Li, Mohammad Tofighi, Junyi Geng +2

Blind image deblurring remains a topic of enduring interest. Learning based approaches, especially those that employ neural networks have emerged to complement traditional model ba…