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cs.CV2022
Operator Sketching for Deep Unrolling Networks
Junqi Tang, Subhadip Mukherjee, Carola-Bibiane Schönlieb
In this work we propose a new paradigm for designing efficient deep unrolling networks using operator sketching. The deep unrolling networks are currently the state-of-the-art solu…
cs.CV2020
The Neural Tangent Link Between CNN Denoisers and Non-Local Filters
Julián Tachella, Junqi Tang, Mike Davies
Convolutional Neural Networks (CNNs) are now a well-established tool for solving computational imaging problems. Modern CNN-based algorithms obtain state-of-the-art performance in…