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Ruturaj G. Gavaskar

7 papers hereh-index 9423 citations14 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author5
  • middle author2

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • eess.IV4
  • cs.CV1
  • eess.SP1
  • math.OC1

identity via Semantic Scholar / OpenAlex

activity
20182022
most citedFixed-Point and Objective Convergence of Plug-and-Play Algorithms

51 citations · 111 across the 5 of their papers we have counts for

collaborators
Showing eess.IVShow all

4 papers · 1 filter

eess.IV2022★ 1 cited

On Exact and Robust Recovery for Plug-and-Play Compressed Sensing

Ruturaj G. Gavaskar, Chirayu D. Athalye, Kunal N. Chaudhury

In Plug-and-Play (PnP) algorithms, an off-the-shelf denoiser is used for image regularization. PnP yields state-of-the-art results, but its theoretical aspects are not well underst…

eess.IV2021

On Plug-and-Play Regularization using Linear Denoisers

Ruturaj G. Gavaskar, Chirayu D. Athalye, Kunal N. Chaudhury

In plug-and-play (PnP) regularization, the knowledge of the forward model is combined with a powerful denoiser to obtain state-of-the-art image reconstructions. This is typically d…

eess.IV2020★ 44 cited

Plug-and-play ISTA converges with kernel denoisers

Ruturaj G. Gavaskar, Kunal N. Chaudhury

Plug-and-play (PnP) method is a recent paradigm for image regularization, where the proximal operator (associated with some given regularizer) in an iterative algorithm is replaced…

eess.IV2019★ 15 cited

On the Proof of Fixed-Point Convergence for Plug-and-Play ADMM

Ruturaj G. Gavaskar, Kunal N. Chaudhury

In most state-of-the-art image restoration methods, the sum of a data-fidelity and a regularization term is optimized using an iterative algorithm such as ADMM (alternating directi…

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