Stamatios Lefkimmiatis

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All published works

Action	Title	Year	Authors
+ PDF Chat	Robust Two-View Geometry Estimation with Implicit Differentiation	2024	Vladislav Pyatov Iaroslav Koshelev Stamatios Lefkimmiatis
+ PDF Chat	GSLoc: Visual Localization with 3D Gaussian Splatting	2024	Kazii Botashev Vladislav Pyatov Gonzalo Ferrer Stamatios Lefkimmiatis
+	Learning Sparse and Low-Rank Priors for Image Recovery via Iterative Reweighted Least Squares Minimization	2023	Stamatios Lefkimmiatis Iaroslav Koshelev
+	Iterative Reweighted Least Squares Networks With Convergence Guarantees for Solving Inverse Imaging Problems	2023	Iaroslav Koshelev Stamatios Lefkimmiatis
+	NeuSD: Surface Completion with Multi-View Text-to-Image Diffusion	2023	Savva Ignatyev Daniil Selikhanovych Oleg Voynov Yiqun Wang Peter Wonka Stamatios Lefkimmiatis Evgeny Burnaev
+ PDF Chat	DeepRLS: A Recurrent Network Architecture with Least Squares Implicit Layers for Non-blind Image Deconvolution	2021	Iaroslav Koshelev Daniil Selikhanovych Stamatios Lefkimmiatis
+ PDF Chat	Maxwell parallel imaging	2021	M. A. Francavilla Stamatios Lefkimmiatis Jorge Fernández Villena Athanasios G. Polimeridis
+	DeepRLS: A Recurrent Network Architecture with Least Squares Implicit Layers for Non-blind Image Deconvolution	2021	Iaroslav Koshelev Daniil Selikhanovych Stamatios Lefkimmiatis
+	Maxwell Parallel Imaging	2020	M. A. Francavilla Stamatios Lefkimmiatis Jorge Fernández Villena Athanasios G. Polimeridis
+ PDF Chat	Microscopy Image Restoration with Deep Wiener-Kolmogorov Filters	2020	Valeriya Pronina Filippos Kokkinos Dmitry V. Dylov Stamatios Lefkimmiatis
+	Maxwell Parallel Imaging	2020	M. A. Francavilla Stamatios Lefkimmiatis Jorge Fernández Villena Athanasios G. Polimeridis
+ PDF Chat	Iterative Joint Image Demosaicking and Denoising Using a Residual Denoising Network	2019	Filippos Kokkinos Stamatios Lefkimmiatis
+	Microscopy Image Restoration with Deep Wiener-Kolmogorov filters	2019	Valeriya Pronina Filippos Kokkinos Dmitry V. Dylov Stamatios Lefkimmiatis
+	Iterative Residual CNNs for Burst Photography Applications.	2018	Filippos Kokkinos Stamatios Lefkimmiatis
+	Iterative Residual Network for Deep Joint Image Demosaicking and Denoising.	2018	Filippos Kokkinos Stamatios Lefkimmiatis
+ PDF Chat	Universal Denoising Networks : A Novel CNN Architecture for Image Denoising	2018	Stamatios Lefkimmiatis
+	Deep Image Demosaicking using a Cascade of Convolutional Residual Denoising Networks.	2018	Filippos Kokkinos Stamatios Lefkimmiatis
+ PDF Chat	Deep Image Demosaicking Using a Cascade of Convolutional Residual Denoising Networks	2018	Filippos Kokkinos Stamatios Lefkimmiatis
+	Iterative Residual CNNs for Burst Photography Applications	2018	Filippos Kokkinos Stamatios Lefkimmiatis
+	Deep Image Demosaicking using a Cascade of Convolutional Residual Denoising Networks	2018	Filippos Kokkinos Stamatios Lefkimmiatis
+	Universal Denoising Networks : A Novel CNN-based Network Architecture for Image Denoising.	2017	Stamatios Lefkimmiatis
+	Universal Denoising Networks : A Novel CNN Architecture for Image Denoising	2017	Stamatios Lefkimmiatis
+ PDF Chat	Non-local Color Image Denoising with Convolutional Neural Networks	2017	Stamatios Lefkimmiatis
+	Universal Denoising Networks : A Novel CNN Architecture for Image Denoising	2017	Stamatios Lefkimmiatis
+	Non-Local Color Image Denoising with Convolutional Neural Networks	2016	Stamatios Lefkimmiatis
+	Non-Local Color Image Denoising with Convolutional Neural Networks	2016	Stamatios Lefkimmiatis
+	Nonlocal Structure Tensor Functionals for Image Regularization	2015	Stamatios Lefkimmiatis Stanley Osher
+ PDF Chat	Poisson Image Reconstruction With Hessian Schatten-Norm Regularization	2013	Stamatios Lefkimmiatis Michaël Unser
+ PDF Chat	Hessian Schatten-Norm Regularization for Linear Inverse Problems	2013	Stamatios Lefkimmiatis John Paul Ward Michaël Unser
+	A Hessian Schatten-Norm Regularization Approach For Solving Linear Inverse Problems	2012	Stamatios Lefkimmiatis John Paul Ward Michaël Unser

Common Coauthors

Coauthor	Papers Together
Filippos Kokkinos	9
Iaroslav Koshelev	5
Daniil Selikhanovych	3
M. A. Francavilla	3
Jorge Fernández Villena	3
Michaël Unser	3
Athanasios G. Polimeridis	3
Valeriya Pronina	2
Dmitry V. Dylov	2
John Paul Ward	2
Vladislav A. Pyatov	2
Gonzalo Ferrer	1
Oleg Voynov	1
Stanley Osher	1
Peter Wonka	1
Evgeny Burnaev	1
Savva Ignatyev	1
Yiqun Wang	1
Kazii Botashev	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Hessian Schatten-Norm Regularization for Linear Inverse Problems	2013	Stamatios Lefkimmiatis John Paul Ward Michaël Unser	7
+	A Tutorial on MM Algorithms	2004	David R. Hunter Kenneth Lange	7
+	Total Generalized Variation	2010	Kristian Bredies Karl Kunisch Thomas Pock	7
+	An Introduction to the Conjugate Gradient Method Without the Agonizing Pain	1994	Jonathan Richard Shewchuk	6
+	Introduction to Inverse Problems in Imaging	1998	M. Bertero Patrizia Boccacci	6
+ PDF Chat	Universal Denoising Networks : A Novel CNN Architecture for Image Denoising	2018	Stamatios Lefkimmiatis	6
+	A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems	2009	Amir Beck Marc Teboulle	5
+ PDF Chat	Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising	2017	Kai Zhang Wangmeng Zuo Yunjin Chen Deyu Meng Lei Zhang	5
+ PDF Chat	Learning Deep CNN Denoiser Prior for Image Restoration	2017	Kai Zhang Wangmeng Zuo Shuhang Gu Lei Zhang	5
+	Nonlocal Structure Tensor Functionals for Image Regularization	2015	Stamatios Lefkimmiatis Stanley Osher	5
+ PDF Chat	Non-local Color Image Denoising with Convolutional Neural Networks	2017	Stamatios Lefkimmiatis	4
+ PDF Chat	Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration	2016	Yunjin Chen Thomas Pock	4
+	Nonlocal Operators with Applications to Image Processing	2008	Guy Gilboa Stanley Osher	4
+	Proximal Algorithms	2013	Neal Parikh Stephen Boyd	4
+ PDF Chat	Poisson Image Reconstruction With Hessian Schatten-Norm Regularization	2013	Stamatios Lefkimmiatis Michaël Unser	4
+ PDF Chat	Iterative Joint Image Demosaicking and Denoising Using a Residual Denoising Network	2019	Filippos Kokkinos Stamatios Lefkimmiatis	4
+	Signal Recovery by Proximal Forward-Backward Splitting	2005	Patrick L. Combettes Valérie R. Wajs	4
+	Regularization on Discrete Spaces	2005	Dengyong Zhou Bernhard Schölkopf	4
+ PDF Chat	Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	3
+	An adaptive accelerated proximal gradient method and its homotopy continuation for sparse optimization	2014	Qihang Lin Lin Xiao	3
+ PDF Chat	A Singular Value Thresholding Algorithm for Matrix Completion	2010	Jian‐Feng Cai Emmanuel J. Candès Zuowei Shen	3
+ PDF Chat	Deep Gaussian Conditional Random Field Network: A Model-Based Deep Network for Discriminative Denoising	2016	Raviteja Vemulapalli Oncel Tuzel Ming-Yu Liu	3
+	Computational Methods for Inverse Problems	2002	Curtis R. Vogel	3
+ PDF Chat	Fast Gradient-Based Algorithms for Constrained Total Variation Image Denoising and Deblurring Problems	2009	Amir Beck Marc Teboulle	3
+	The Split Bregman Method for L1-Regularized Problems	2009	Tom Goldstein Stanley Osher	3
+	Characterization of the subdifferential of some matrix norms	1992	G. A. Watson	3
+ PDF Chat	An iterative thresholding algorithm for linear inverse problems with a sparsity constraint	2004	Ingrid Daubechies Michel Defrise Christine De Mol	3
+	Fixed point and Bregman iterative methods for matrix rank minimization	2009	Shiqian Ma Donald Goldfarb Lifeng Chen	3
+	Practical Signal Recovery from Random Projections	2005	Justin Romberg	3
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	3
+ PDF Chat	Accelerated Projected Gradient Method for Linear Inverse Problems with Sparsity Constraints	2008	Ingrid Daubechies Massimo Fornasier Ignace Loris	3
+ PDF Chat	Alternating Projections on Manifolds	2008	Adrian S. Lewis Jérôme Malick	2
+	Numerical Methods for Unconstrained Optimization and Nonlinear Equations	1996	J. E. Dennis Robert B. Schnabel	2
+ PDF Chat	Iterative Residual CNNs for Burst Photography Applications	2019	Filippos Kokkinos Stamatis Lefkimmiatis	2
+ PDF Chat	On the Douglas—Rachford splitting method and the proximal point algorithm for maximal monotone operators	1992	Jonathan Eckstein Dimitri P. Bertsekas	2
+	A trace inequality of John von Neumann	1975	L. Mirsky	2
+	Efficient `1=`q Norm Regularization	2010	Jun Liu Jieping Ye	2
+ PDF Chat	Randomized algorithms for the low-rank approximation of matrices	2007	Edo Liberty Franco Woolfe Per‐Gunnar Martinsson Vladimir Rokhlin Mark Tygert	2
+ PDF Chat	Burst Denoising with Kernel Prediction Networks	2018	Ben Mildenhall Jonathan T. Barron Jiawen Chen Dillon Sharlet Ren Ng Robert E. Carroll	2
+	fastMRI: An Open Dataset and Benchmarks for Accelerated MRI	2018	Jure Žbontar Florian Knöll Anuroop Sriram Matthew J. Muckley Mary Bruno Aaron Defazio Marc Parente Krzysztof J. Geras Joe Katsnelson Hersh Chandarana	2
+ PDF Chat	Insights Into Analysis Operator Learning: From Patch-Based Sparse Models to Higher Order MRFs	2014	Yunjin Chen René Ranftl Thomas Pock	2
+ PDF Chat	A Note on the Dual Treatment of Higher-Order Regularization Functionals	2005	Gabriele Steidl	2
+ PDF Chat	Fast Projections onto ℓ1,q -Norm Balls for Grouped Feature Selection	2011	Suvrit Sra	2
+ PDF Chat	Finding Structure with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix Decompositions	2011	Nathan Halko Per‐Gunnar Martinsson Joel A. Tropp	2
+	Deep Mean-Shift Priors for Image Restoration	2017	Siavash Arjomand Bigdeli Meiguang Jin Paolo Favaro Matthias Zwicker	2
+	Solution of incorrectly formulated problems and the regularization method	1963	А. Н. Тихонов	2
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	2
+ PDF Chat	The Little Engine That Could: Regularization by Denoising (RED)	2017	Yaniv Romano Michael Elad Peyman Milanfar	2
+ PDF Chat	Optimization with Sparsity-Inducing Penalties	2011	Francis Bach Rodolphe Jenatton Julien Mairal Guillaume Obozinski	2
+	Alternating Direction Method with Self-Adaptive Penalty Parameters for Monotone Variational Inequalities	2000	Bing He Hai Yang S. L. Wang	2