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Jean-Luc Robert

2 accepted papers

2026

Nuclear Diffusion Models for Low-Rank Background Suppression in Videos

ICASSP 2026oral

Video sequences often contain structured noise and background artifacts that obscure dynamic content, posing challenges for accurate analysis and restoration. Robust principal component methods address this by decomposing data into low-rank and sparse components. Still, the sparsity assumption often…

Cited by 0SourcePDFScholar
2025

Sequential Posterior Sampling with Diffusion Models

ICASSP 2025accepted

Diffusion models have quickly risen in popularity for their ability to model complex distributions and perform effective posterior sampling. Unfortunately, the iterative nature of these generative models makes them computationally expensive and unsuitable for real-time sequential inverse problems su…

Cited by 0SourceScholar