Alessandro Lanza

66 papers A* 1A 1B 9C 1Journal 39Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Additive decomposition of one-dimensional signals using Transformers. Pattern Recognit. Lett. Samuele Salti, Andrea Pinto, Alessandro Lanza, Serena Morigi
2026	J	`jnl`	Guided Variational Network for Image Decomposition. CoRR Alessandro Lanza, Serena Morigi, Youwei Wen, Li Yang
2025	J	`jnl`	A general framework for whiteness-based parameters selection in variational models. Comput. Optim. Appl. Francesca Bevilacqua, Alessandro Lanza, Monica Pragliola, Fiorella Sgallari
2025	J	`jnl`	Additive decomposition of one-dimensional signals using Transformers. CoRR Samuele Salti, Andrea Pinto, Alessandro Lanza, Serena Morigi
2025	—	`conf`	Fractional Derivative Variational Model for Additive Signal Decomposition. SSVM (2) Laura Girometti, Alessandro Lanza, Serena Morigi
2025	J	`jnl`	Symmetrised fractional variation with L1 fidelity for signal denoising via Grünwald-Letnikov scheme. Appl. Math. Comput. Alessandro Lanza, Antonio Leaci, Serena Morigi, Franco Tomarelli
2025	J	`jnl`	Variational graph p-Laplacian eigendecomposition under p-orthogonality constraints. Comput. Optim. Appl. Alessandro Lanza, Serena Morigi, Giuseppe Antonio Recupero
2025	—	`conf`	Whiteness-Based Bilevel Estimation of Weighted TV Parameter Maps for Image Denoising. SSVM (1) Monica Pragliola, Luca Calatroni, Alessandro Lanza
2025	J	`jnl`	Whiteness-based bilevel estimation of weighted TV parameter maps for image denoising. CoRR Monica Pragliola, Luca Calatroni, Alessandro Lanza
2024	J	`jnl`	Convex Predictor-Nonconvex Corrector Optimization Strategy with Application to Signal Decomposition. J. Optim. Theory Appl. Laura Girometti, Martin Huska, Alessandro Lanza, Serena Morigi
2024	—	`conf`	Whiteness-Based Bilevel Learning of Regularization Parameters in Imaging. EUSIPCO Carlo Santambrogio, Monica Pragliola, Alessandro Lanza, Marco Donatelli, Luca Calatroni
2024	J	`jnl`	Whiteness-based bilevel learning of regularization parameters in imaging. CoRR Carlo Santambrogio, Monica Pragliola, Alessandro Lanza, Marco Donatelli, Luca Calatroni
2023	J	`jnl`	ADMM-Based Residual Whiteness Principle for Automatic Parameter Selection in Single Image Super-Resolution Problems. J. Math. Imaging Vis. Monica Pragliola, Luca Calatroni, Alessandro Lanza, Fiorella Sgallari
2023	J	`jnl`	On and Beyond Total Variation Regularization in Imaging: The Role of Space Variance. SIAM Rev. Monica Pragliola, Luca Calatroni, Alessandro Lanza, Fiorella Sgallari
2023	—	`conf`	Quaternary Image Decomposition with Cross-Correlation-Based Multi-parameter Selection. SSVM Laura Girometti, Martin Huska, Alessandro Lanza, Serena Morigi
2023	J	`jnl`	Ternary image decomposition with automatic parameter selection via auto- and cross-correlation. Adv. Comput. Math. Laura Girometti, Alessandro Lanza, Serena Morigi
2022	J	`jnl`	Nearly Exact Discrepancy Principle for Low-Count Poisson Image Restoration. J. Imaging Francesca Bevilacqua, Alessandro Lanza, Monica Pragliola, Fiorella Sgallari
2022	J	`jnl`	Whiteness-based parameter selection for Poisson data in variational image processing. CoRR Francesca Bevilacqua, Alessandro Lanza, Monica Pragliola, Fiorella Sgallari
2021	J	`jnl`	A Variational Approach to Additive Image Decomposition into Structure, Harmonic, and Oscillatory Components. SIAM J. Imaging Sci. Martin Huska, Sung Ha Kang, Alessandro Lanza, Serena Morigi
2021	J	`jnl`	ADMM-based residual whiteness principle for automatic parameter selection in super-resolution problems. CoRR Monica Pragliola, Luca Calatroni, Alessandro Lanza, Fiorella Sgallari
2021	J	`jnl`	Keypoint detection by wave propagation. J. Electronic Imaging Samuele Salti, Alessandro Lanza, Luigi Di Stefano
2021	J	`jnl`	On and beyond Total Variation regularisation in imaging: the role of space variance. CoRR Monica Pragliola, Luca Calatroni, Alessandro Lanza, Fiorella Sgallari
2021	—	`conf`	Residual Whiteness Principle for Automatic Parameter Selection in ℓ SSVM Monica Pragliola, Luca Calatroni, Alessandro Lanza, Fiorella Sgallari
2021	J	`jnl`	Residual whiteness principle for automatic parameter selection in 𝓁 CoRR Monica Pragliola, Luca Calatroni, Alessandro Lanza, Fiorella Sgallari
2020	J	`jnl`	Non-convex Total Variation Regularization for Convex Denoising of Signals. J. Math. Imaging Vis. Ivan W. Selesnick, Alessandro Lanza, Serena Morigi, Fiorella Sgallari
2019	J	`jnl`	A Flexible Space-Variant Anisotropic Regularization for Image Restoration with Automated Parameter Selection. SIAM J. Imaging Sci. Luca Calatroni, Alessandro Lanza, Monica Pragliola, Fiorella Sgallari
2019	J	`jnl`	Convex non-convex segmentation of scalar fields over arbitrary triangulated surfaces. J. Comput. Appl. Math. Martin Huska, Alessandro Lanza, Serena Morigi, Fiorella Sgallari
2019	J	`jnl`	Space-adaptive anisotropic bivariate Laplacian regularization for image restoration. CoRR Luca Calatroni, Alessandro Lanza, Monica Pragliola, Fiorella Sgallari
2019	J	`jnl`	Space-variant Generalized Gaussian Regularization for Image Restoration. CoRR Alessandro Lanza, Serena Morigi, Monica Pragliola, Fiorella Sgallari
2019	J	`jnl`	Space-variant generalised Gaussian regularisation for image restoration. Comput. methods Biomech. Biomed. Eng. Imaging Vis. Alessandro Lanza, Serena Morigi, Monica Pragliola, Fiorella Sgallari
2019	J	`jnl`	Sparsity-Inducing Nonconvex Nonseparable Regularization for Convex Image Processing. SIAM J. Imaging Sci. Alessandro Lanza, Serena Morigi, Ivan W. Selesnick, Fiorella Sgallari
2018	J	`jnl`	Convex non-convex image segmentation. Numerische Mathematik Raymond H. Chan, Alessandro Lanza, Serena Morigi, Fiorella Sgallari
2018	J	`jnl`	Whiteness Constraints in a Unified Variational Framework for Image Restoration. J. Math. Imaging Vis. Alessandro Lanza, Serena Morigi, Federica Sciacchitano, Fiorella Sgallari
2017	—	`conf`	A Unified Framework for the Restoration of Images Corrupted by Additive White Noise. SSVM Alessandro Lanza, Federica Sciacchitano, Serena Morigi, Fiorella Sgallari
2017	—	`conf`	Convex Non-Convex Segmentation over Surfaces. SSVM Martin Huska, Alessandro Lanza, Serena Morigi, Fiorella Sgallari
2017	J	`jnl`	Nonconvex nonsmooth optimization via convex-nonconvex majorization-minimization. Numerische Mathematik Alessandro Lanza, Serena Morigi, Ivan W. Selesnick, Fiorella Sgallari
2016	J	`jnl`	Constrained TV J. Sci. Comput. Alessandro Lanza, Serena Morigi, Fiorella Sgallari
2016	J	`jnl`	Convex Image Denoising via Non-convex Regularization with Parameter Selection. J. Math. Imaging Vis. Alessandro Lanza, Serena Morigi, Fiorella Sgallari
2015	J	`jnl`	A Generalized Krylov Subspace Method for ℓ SIAM J. Sci. Comput. Alessandro Lanza, Serena Morigi, Lothar Reichel, Fiorella Sgallari
2015	—	`conf`	Convex Image Denoising via Non-Convex Regularization. SSVM Alessandro Lanza, Serena Morigi, Fiorella Sgallari
2015	J	`jnl`	Synergistic Change Detection and Tracking. IEEE Trans. Circuits Syst. Video Technol. Samuele Salti, Alessandro Lanza, Luigi Di Stefano
2015	J	`jnl`	Variational Image Restoration with Constraints on Noise Whiteness. J. Math. Imaging Vis. Alessandro Lanza, Serena Morigi, Fiorella Sgallari
2014	J	`jnl`	Image restoration with Poisson-Gaussian mixed noise. Comput. methods Biomech. Biomed. Eng. Imaging Vis. Alessandro Lanza, Serena Morigi, Fiorella Sgallari, You-Wei Wen
2013	A*	`conf`	Keypoints from Symmetries by Wave Propagation. CVPR Samuele Salti, Alessandro Lanza, Luigi Di Stefano
2013	J	`jnl`	Variational Image Denoising Based on Autocorrelation Whiteness. SIAM J. Imaging Sci. Alessandro Lanza, Serena Morigi, Fiorella Sgallari, Anthony J. Yezzi
2011	B	`conf`	Background subtraction by non-parametric probabilistic clustering. AVSS Alessandro Lanza, Samuele Salti, Luigi Di Stefano
2011	B	`conf`	Energy-aware objects abandon / removal detection. AVSS Alessandro Lanza, Michele Magno, Davide Brunelli, Luigi Di Stefano, Luca Benini
2011	J	`jnl`	Statistical Change Detection by the Pool Adjacent Violators Algorithm. IEEE Trans. Pattern Anal. Mach. Intell. Alessandro Lanza, Luigi Di Stefano
2010	B	`conf`	Accurate and Efficient Background Subtraction by Monotonic Second-Degree Polynomial Fitting. AVSS Alessandro Lanza, Federico Tombari, Luigi Di Stefano
2010	—	`conf`	Bayesian Loop for Synergistic Change Detection and Tracking. ACCV Workshops (1) Samuele Salti, Alessandro Lanza, Luigi Di Stefano
2010	C	`conf`	Energy aware multimodal embedded video surveillance. VLSI-SoC Michele Magno, Alessandro Lanza, Davide Brunelli, Luigi Di Stefano, Luca Benini
2010	B	`conf`	Robust and efficient background subtraction by quadratic polynomial fitting. ICIP Alessandro Lanza, Federico Tombari, Luigi Di Stefano
2010	—	`conf`	Second-Order Polynomial Models for Background Subtraction. ACCV Workshops (1) Alessandro Lanza, Federico Tombari, Luigi Di Stefano
2009	B	`conf`	Bayesian Order-Consistency Testing with Class Priors Derivation for Robust Change Detection. AVSS Alessandro Lanza, Luigi Di Stefano, Luca Soffritti
2009	—	`conf`	On-line learning of background appearance changes for robust background subtraction. ICDP Alessandro Lanza, Luigi Di Stefano
2007	A	`conf`	Robust Multi-View Change Detection. BMVC Alessandro Lanza, Luigi Di Stefano, Jérôme Berclaz, François Fleuret, Pascal Fua
2006	B	`conf`	Detecting Changes in Grey Level Sequences by ML Isotonic Regression. AVSS Alessandro Lanza, Luigi Di Stefano
2005	—	`conf`	A Simple Self-Calibration Method To Infer A Non-Parametric Model Of The Imaging System Noise. WACV/MOTION Alessandro Bevilacqua, Luigi Di Stefano, Alessandro Lanza
2005	—	`conf`	A novel approach to change detection based on a coarse-to-fine strategy. ICIP (2) Alessandro Bevilacqua, Luigi Di Stefano, Alessandro Lanza, Gianpaolo Capelli
2005	B	`conf`	An effective multi-stage background generation algorithm. AVSS Alessandro Bevilacqua, Luigi Di Stefano, Alessandro Lanza
2005	B	`conf`	Coarse-to-fine strategy for robust and efficient change detectors. AVSS Alessandro Bevilacqua, Luigi Di Stefano, Alessandro Lanza
2005	J	`jnl`	Desperately seeking environmental Kuznets. Environ. Model. Softw. Marzio Galeotti, Alessandro Lanza
2005	J	`jnl`	Long-run models of oil stock prices. Environ. Model. Softw. Alessandro Lanza, Matteo Manera, Margherita Grasso, Massimo Giovannini
2004	B	`conf`	An efficient change detection algorithm based on a statistical non-parametric camera noise model. ICIP Alessandro Bevilacqua, Luigi Di Stefano, Alessandro Lanza
2004	—	`conf`	High Quality-Speed Dilemma: A Comparison Between Segmentation Methods for Traffic Monitoring Applications. ICIAR (2) Alessandro Bevilacqua, Luigi Di Stefano, Alessandro Lanza
2003	—	`conf`	A Single-Scan Algorithm for Connected Components Labelling in a Traffic Monitoring Application. SCIA Alessandro Bevilacqua, Alessandro Lanza, Giorgio Baccarani, Riccardo Rovatti