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cs.CV2024
Fast Unsupervised Tensor Restoration via Low-rank Deconvolution
David Reixach, Josep Ramon Morros
Low-rank Deconvolution (LRD) has appeared as a new multi-dimensional representation model that enjoys important efficiency and flexibility properties. In this work we ask ourselves…
cs.CV2023
Multi-dimensional Signal Recovery using Low-rank Deconvolution
David Reixach
In this work we present Low-rank Deconvolution, a powerful framework for low-level feature-map learning for efficient signal representation with application to signal recovery. Its…