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ORCIDStamatios Lefkimmiatis
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2020 – today
- 2023
[c21]Kirill Solodskikh, Azim Kurbanov, Ruslan Aydarkhanov, Irina Zhelavskaya, Yury Parfenov, Dehua Song, Stamatios Lefkimmiatis:
Integral Neural Networks. CVPR 2023: 16113-16122- [c20]Stamatios Lefkimmiatis, Iaroslav Koshelev:
Learning Sparse and Low-Rank Priors for Image Recovery via Iterative Reweighted Least Squares Minimization. ICLR 2023 - [i11]Stamatios Lefkimmiatis, Iaroslav Koshelev:
Learning Sparse and Low-Rank Priors for Image Recovery via Iterative Reweighted Least Squares Minimization. CoRR abs/2304.10536 (2023) - [i10]Iaroslav Koshelev, Stamatios Lefkimmiatis:
Iterative Reweighted Least Squares Networks With Convergence Guarantees for Solving Inverse Imaging Problems. CoRR abs/2308.05745 (2023) - [i9]Savva Ignatyev, Daniil Selikhanovych
, Oleg Voynov, Yiqun Wang, Peter Wonka, Stamatios Lefkimmiatis, Evgeny Burnaev:
NeuSD: Surface Completion with Multi-View Text-to-Image Diffusion. CoRR abs/2312.04654 (2023) - 2021
- [i8]Iaroslav Koshelev, Daniil Selikhanovych, Stamatios Lefkimmiatis:
DeepRLS: A Recurrent Network Architecture with Least Squares Implicit Layers for Non-blind Image Deconvolution. CoRR abs/2112.05505 (2021) - 2020
- [c19]Valeriya Pronina, Filippos Kokkinos, Dmitry V. Dylov, Stamatios Lefkimmiatis:
Microscopy Image Restoration with Deep Wiener-Kolmogorov Filters. ECCV (20) 2020: 185-201 - [c18]Iaroslav Koshelev, Andrey Somov, Stamatios Lefkimmiatis, Antonio Jose Rodríguez-Sánchez:
Deconvolution of Image Sequences with a Learning FFT-based Approach. ISIE 2020: 1381-1386
2010 – 2019
- 2019
- [j10]Filippos Kokkinos, Stamatios Lefkimmiatis:
Iterative Joint Image Demosaicking and Denoising Using a Residual Denoising Network. IEEE Trans. Image Process. 28(8): 4177-4188 (2019) - [c17]Filippos Kokkinos, Stamatios Lefkimmiatis:
Iterative Residual CNNs for Burst Photography Applications. CVPR 2019: 5929-5938 - [i7]Valeriya Pronina, Filippos Kokkinos, Dmitry V. Dylov, Stamatios Lefkimmiatis:
Microscopy Image Restoration with Deep Wiener-Kolmogorov filters. CoRR abs/1911.10989 (2019) - 2018
- [c16]Stamatios Lefkimmiatis:
Universal Denoising Networks : A Novel CNN Architecture for Image Denoising. CVPR 2018: 3204-3213 - [c15]Filippos Kokkinos, Stamatios Lefkimmiatis:
Deep Image Demosaicking Using a Cascade of Convolutional Residual Denoising Networks. ECCV (14) 2018: 317-333 - [i6]Filippos Kokkinos, Stamatios Lefkimmiatis:
Deep Image Demosaicking using a Cascade of Convolutional Residual Denoising Networks. CoRR abs/1803.05215 (2018) - [i5]Filippos Kokkinos, Stamatios Lefkimmiatis:
Iterative Residual Network for Deep Joint Image Demosaicking and Denoising. CoRR abs/1807.06403 (2018) - [i4]Filippos Kokkinos, Stamatios Lefkimmiatis:
Iterative Residual CNNs for Burst Photography Applications. CoRR abs/1811.12197 (2018) - 2017
- [j9]Andres Saucedo, Stamatios Lefkimmiatis, Novena Rangwala, Kyunghyun Sung:
Improved Computational Efficiency of Locally Low Rank MRI Reconstruction Using Iterative Random Patch Adjustments. IEEE Trans. Medical Imaging 36(6): 1209-1220 (2017) - [c14]Stamatios Lefkimmiatis:
Non-local Color Image Denoising with Convolutional Neural Networks. CVPR 2017: 5882-5891 - [i3]Stamatios Lefkimmiatis:
Universal Denoising Networks : A Novel CNN-based Network Architecture for Image Denoising. CoRR abs/1711.07807 (2017) - 2016
- [i2]Stamatios Lefkimmiatis:
Non-Local Color Image Denoising with Convolutional Neural Networks. CoRR abs/1611.06757 (2016) - 2015
- [j8]Stamatios Lefkimmiatis, Anastasios Roussos, Petros Maragos, Michael Unser:
Structure Tensor Total Variation. SIAM J. Imaging Sci. 8(2): 1090-1122 (2015) - [j7]Emrah Bostan, Stamatios Lefkimmiatis, Orestis Vardoulis, Nikolaos Stergiopulos, Michael Unser:
Improved Variational Denoising of Flow Fields with Application to Phase-Contrast MRI Data. IEEE Signal Process. Lett. 22(6): 762-766 (2015) - [j6]Stamatios Lefkimmiatis, Stanley J. Osher:
Nonlocal Structure Tensor Functionals for Image Regularization. IEEE Trans. Computational Imaging 1(1): 16-29 (2015) - [c13]Stamatios Lefkimmiatis, Andres Saucedo, Stanley J. Osher, Kyunghyun Sung:
Vectorial non-local total variation regularization for calibration-free parallel MRI reconstruction. ISBI 2015: 1256-1259 - 2014
- [c12]Sander Kromwijk, Stamatios Lefkimmiatis, Michael Unser:
High-performance 3D deconvolution of fluorescence micrographs. ICIP 2014: 1718-1722 - 2013
- [j5]Stamatios Lefkimmiatis, John Paul Ward, Michael Unser:
Hessian Schatten-Norm Regularization for Linear Inverse Problems. IEEE Trans. Image Process. 22(5): 1873-1888 (2013) - [j4]Stamatios Lefkimmiatis, Michael Unser:
Poisson Image Reconstruction With Hessian Schatten-Norm Regularization. IEEE Trans. Image Process. 22(11): 4314-4327 (2013) - [c11]Daniel Sage, Hagai Kirshner, Cédric Vonesch, Stamatios Lefkimmiatis, Michael Unser:
Benchmarking image-processing algorithms for biomicroscopy: Reference datasets and perspectives. EUSIPCO 2013: 1-4 - [c10]Stamatios Lefkimmiatis, Michael Unser:
3D Poisson microscopy deconvolution with Hessian Schatten-norm regularization. ISBI 2013: 161-164 - [c9]Stamatios Lefkimmiatis, Anastasios Roussos, Michael Unser, Petros Maragos:
Convex Generalizations of Total Variation Based on the Structure Tensor with Applications to Inverse Problems. SSVM 2013: 48-60 - 2012
- [j3]Stamatios Lefkimmiatis, Aurélien Bourquard, Michael Unser:
Hessian-Based Norm Regularization for Image Restoration With Biomedical Applications. IEEE Trans. Image Process. 21(3): 983-995 (2012) - [c8]Stamatios Lefkimmiatis, Michael Unser:
A projected gradient algorithm for image restoration under Hessian matrix-norm regularization. ICIP 2012: 3029-3032 - [c7]Stamatios Lefkimmiatis, Aurélien Bourquard, Michael Unser:
Hessian-based regularization for 3-D microscopy image restoration. ISBI 2012: 1731-1734 - [i1]Stamatios Lefkimmiatis, John Paul Ward, Michael Unser:
A Hessian Schatten-Norm Regularization Approach For Solving Linear Inverse Problems. CoRR abs/1209.3318 (2012) - 2011
- [c6]Zafer Dogan, Stamatios Lefkimmiatis, Aurélien Bourquard, Michael Unser:
A second-order extension of TV regularization for image deblurring. ICIP 2011: 705-708
2000 – 2009
- 2009
- [j2]Stamatios Lefkimmiatis, Petros Maragos, George Papandreou:
Bayesian Inference on Multiscale Models for Poisson Intensity Estimation: Applications to Photon-Limited Image Denoising. IEEE Trans. Image Process. 18(8): 1724-1741 (2009) - [c5]Stamatios Lefkimmiatis, George Papandreou, Petros Maragos:
Poisson-Haar Transform: A nonlinear multiscale representation for photon-limited image denoising. ICIP 2009: 3853-3856 - 2008
- [c4]Stamatios Lefkimmiatis, Petros Maragos, Athanassios Katsamanis:
Multisensor multiband cross-energy tracking for feature extraction and recognition. ICASSP 2008: 4741-4744 - [c3]Stamatios Lefkimmiatis, George Papandreou, Petros Maragos:
Photon-limited image denoising by inference on multiscale models. ICIP 2008: 2332-2335 - 2007
- [j1]Stamatios Lefkimmiatis, Petros Maragos:
A generalized estimation approach for linear and nonlinear microphone array post-filters. Speech Commun. 49(7-8): 657-666 (2007) - [c2]Dimitrios Dimitriadis, Petros Maragos, Stamatios Lefkimmiatis:
Multiband, multisensor robust features for noisy speech recognition. INTERSPEECH 2007: 246-249 - 2006
- [c1]Stamatios Lefkimmiatis, Dimitrios Dimitriadis, Petros Maragos:
An optimum microphone array post-filter for speech applications. INTERSPEECH 2006
Coauthor Index
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