5 citations · 16 across the 14 of their papers we have counts for
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eess.IV2022★ 5 cited
Practical Operator Sketching Framework for Accelerating Iterative Data-Driven Solutions in Inverse Problems
Junqi Tang, Guixian Xu, Subhadip Mukherjee +1
We propose a new operator-sketching paradigm for designing efficient iterative data-driven reconstruction (IDR) schemes, e.g. Plug-and-Play algorithms and deep unrolling networks.…
eess.IV2022
Accelerating Plug-and-Play Image Reconstruction via Multi-Stage Sketched Gradients
Junqi Tang
In this work we propose a new paradigm for designing fast plug-and-play (PnP) algorithms using dimensionality reduction techniques. Unlike existing approaches which utilize stochas…
eess.IV2022
Fast Gradient Methods for Data-Consistent Local Super-Resolution of Medical Images
Junqi Tang, Guixian Xu, Jinglai Li
In this work, we propose a new paradigm of iterative model-based reconstruction algorithms for providing real-time solution for zooming-in and refining a region of interest in medi…