A Single-Scan Algorithm for Connected Components Labelling in a Traffic Monitoring Application. - Alessandro Bevilacqua; Alessandro Lanza; Giorgio Baccarani; Riccardo Rovatti (SCIA, 2003)

High Quality-Speed Dilemma: A Comparison Between Segmentation Methods for Traffic Monitoring Applications. - Alessandro Bevilacqua; Luigi Di Stefano; Alessandro Lanza (ICIAR (2), 2004)

An efficient change detection algorithm based on a statistical non-parametric camera noise model. - Alessandro Bevilacqua; Luigi Di Stefano; Alessandro Lanza (ICIP, 2004)

Coarse-to-fine strategy for robust and efficient change detectors. - Alessandro Bevilacqua; Luigi Di Stefano; Alessandro Lanza (AVSS, 2005)

An effective multi-stage background generation algorithm. - Alessandro Bevilacqua; Luigi Di Stefano; Alessandro Lanza (AVSS, 2005)

A novel approach to change detection based on a coarse-to-fine strategy. - Alessandro Bevilacqua; Luigi Di Stefano; Alessandro Lanza; Gianpaolo Capelli (ICIP (2), 2005)

A Simple Self-Calibration Method To Infer A Non-Parametric Model Of The Imaging System Noise. - Alessandro Bevilacqua; Luigi Di Stefano; Alessandro Lanza (WACV/MOTION, 2005)

Desperately seeking environmental Kuznets. - Marzio Galeotti; Alessandro Lanza (Environ. Model. Softw., 2005)

Long-run models of oil stock prices. - Alessandro Lanza; Matteo Manera; Margherita Grasso; Massimo Giovannini (Environ. Model. Softw., 2005)

Detecting Changes in Grey Level Sequences by ML Isotonic Regression. - Alessandro Lanza; Luigi Di Stefano (AVSS, 2006)

Robust Multi-View Change Detection. - Alessandro Lanza; Luigi Di Stefano; Jérôme Berclaz; François Fleuret; Pascal Fua (BMVC, 2007)

Bayesian Order-Consistency Testing with Class Priors Derivation for Robust Change Detection. - Alessandro Lanza; Luigi Di Stefano; Luca Soffritti (AVSS, 2009)

On-line learning of background appearance changes for robust background subtraction. - Alessandro Lanza; Luigi Di Stefano (ICDP, 2009)

Second-Order Polynomial Models for Background Subtraction. - Alessandro Lanza; Federico Tombari; Luigi Di Stefano (ACCV Workshops (1), 2010)

Bayesian Loop for Synergistic Change Detection and Tracking. - Samuele Salti; Alessandro Lanza; Luigi Di Stefano (ACCV Workshops (1), 2010)

Accurate and Efficient Background Subtraction by Monotonic Second-Degree Polynomial Fitting. - Alessandro Lanza; Federico Tombari; Luigi Di Stefano (AVSS, 2010)

Robust and efficient background subtraction by quadratic polynomial fitting. - Alessandro Lanza; Federico Tombari; Luigi Di Stefano (ICIP, 2010)

Energy aware multimodal embedded video surveillance. - Michele Magno; Alessandro Lanza; Davide Brunelli; Luigi Di Stefano; Luca Benini (VLSI-SoC, 2010)

Energy-aware objects abandon / removal detection. - Alessandro Lanza; Michele Magno; Davide Brunelli; Luigi Di Stefano; Luca Benini (AVSS, 2011)

Background subtraction by non-parametric probabilistic clustering. - Alessandro Lanza; Samuele Salti; Luigi Di Stefano (AVSS, 2011)

Statistical Change Detection by the Pool Adjacent Violators Algorithm. - Alessandro Lanza; Luigi Di Stefano (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

Keypoints from Symmetries by Wave Propagation. - Samuele Salti; Alessandro Lanza; Luigi Di Stefano (CVPR, 2013)

Variational Image Denoising Based on Autocorrelation Whiteness. - Alessandro Lanza; Serena Morigi; Fiorella Sgallari; Anthony J. Yezzi (SIAM J. Imaging Sci., 2013)

Image restoration with Poisson-Gaussian mixed noise. - Alessandro Lanza; Serena Morigi; Fiorella Sgallari; You-Wei Wen (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2014)

Convex Image Denoising via Non-Convex Regularization. - Alessandro Lanza; Serena Morigi; Fiorella Sgallari (SSVM, 2015)

Variational Image Restoration with Constraints on Noise Whiteness. - Alessandro Lanza; Serena Morigi; Fiorella Sgallari (J. Math. Imaging Vis., 2015)

A Generalized Krylov Subspace Method for ℓp-ℓq Minimization. - Alessandro Lanza; Serena Morigi; Lothar Reichel; Fiorella Sgallari (SIAM J. Sci. Comput., 2015)

Synergistic Change Detection and Tracking. - Samuele Salti; Alessandro Lanza; Luigi Di Stefano (IEEE Trans. Circuits Syst. Video Technol., 2015)

Convex Image Denoising via Non-convex Regularization with Parameter Selection. - Alessandro Lanza; Serena Morigi; Fiorella Sgallari (J. Math. Imaging Vis., 2016)

Constrained TVp-ℓ2 Model for Image Restoration. - Alessandro Lanza; Serena Morigi; Fiorella Sgallari (J. Sci. Comput., 2016)

Convex Non-Convex Segmentation over Surfaces. - Martin Huska; Alessandro Lanza; Serena Morigi; Fiorella Sgallari (SSVM, 2017)

A Unified Framework for the Restoration of Images Corrupted by Additive White Noise. - Alessandro Lanza; Federica Sciacchitano; Serena Morigi; Fiorella Sgallari (SSVM, 2017)

Nonconvex nonsmooth optimization via convex-nonconvex majorization-minimization. - Alessandro Lanza; Serena Morigi; Ivan W. Selesnick; Fiorella Sgallari (Numerische Mathematik, 2017)

Whiteness Constraints in a Unified Variational Framework for Image Restoration. - Alessandro Lanza; Serena Morigi; Federica Sciacchitano; Fiorella Sgallari (J. Math. Imaging Vis., 2018)

Convex non-convex image segmentation. - Raymond H. Chan; Alessandro Lanza; Serena Morigi; Fiorella Sgallari (Numerische Mathematik, 2018)

Space-variant generalised Gaussian regularisation for image restoration. - Alessandro Lanza; Serena Morigi; Monica Pragliola; Fiorella Sgallari (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2019)

Space-variant Generalized Gaussian Regularization for Image Restoration. - Alessandro Lanza; Serena Morigi; Monica Pragliola; Fiorella Sgallari (CoRR, 2019)

Space-adaptive anisotropic bivariate Laplacian regularization for image restoration. - Luca Calatroni; Alessandro Lanza; Monica Pragliola; Fiorella Sgallari (CoRR, 2019)

Convex non-convex segmentation of scalar fields over arbitrary triangulated surfaces. - Martin Huska; Alessandro Lanza; Serena Morigi; Fiorella Sgallari (J. Comput. Appl. Math., 2019)

A Flexible Space-Variant Anisotropic Regularization for Image Restoration with Automated Parameter Selection. - Luca Calatroni; Alessandro Lanza; Monica Pragliola; Fiorella Sgallari (SIAM J. Imaging Sci., 2019)

Sparsity-Inducing Nonconvex Nonseparable Regularization for Convex Image Processing. - Alessandro Lanza; Serena Morigi; Ivan W. Selesnick; Fiorella Sgallari (SIAM J. Imaging Sci., 2019)

Non-convex Total Variation Regularization for Convex Denoising of Signals. - Ivan W. Selesnick; Alessandro Lanza; Serena Morigi; Fiorella Sgallari (J. Math. Imaging Vis., 2020)

Residual Whiteness Principle for Automatic Parameter Selection in ℓ 2-ℓ 2 Image Super-Resolution Problems. - Monica Pragliola; Luca Calatroni; Alessandro Lanza; Fiorella Sgallari (SSVM, 2021)

On and beyond Total Variation regularisation in imaging: the role of space variance. - Monica Pragliola; Luca Calatroni; Alessandro Lanza; Fiorella Sgallari (CoRR, 2021)

ADMM-based residual whiteness principle for automatic parameter selection in super-resolution problems. - Monica Pragliola; Luca Calatroni; Alessandro Lanza; Fiorella Sgallari (CoRR, 2021)

Keypoint detection by wave propagation. - Samuele Salti; Alessandro Lanza; Luigi Di Stefano (J. Electronic Imaging, 2021)

A Variational Approach to Additive Image Decomposition into Structure, Harmonic, and Oscillatory Components. - Martin Huska; Sung Ha Kang; Alessandro Lanza; Serena Morigi (SIAM J. Imaging Sci., 2021)

Whiteness-based parameter selection for Poisson data in variational image processing. - Francesca Bevilacqua; Alessandro Lanza; Monica Pragliola; Fiorella Sgallari (CoRR, 2022)

Nearly Exact Discrepancy Principle for Low-Count Poisson Image Restoration. - Francesca Bevilacqua; Alessandro Lanza; Monica Pragliola; Fiorella Sgallari (J. Imaging, 2022)

Quaternary Image Decomposition with Cross-Correlation-Based Multi-parameter Selection. - Laura Girometti; Martin Huska; Alessandro Lanza; Serena Morigi (SSVM, 2023)

ADMM-Based Residual Whiteness Principle for Automatic Parameter Selection in Single Image Super-Resolution Problems. - Monica Pragliola; Luca Calatroni; Alessandro Lanza; Fiorella Sgallari (J. Math. Imaging Vis., 2023)

Ternary image decomposition with automatic parameter selection via auto- and cross-correlation. - Laura Girometti; Alessandro Lanza; Serena Morigi (Adv. Comput. Math., 2023)

On and Beyond Total Variation Regularization in Imaging: The Role of Space Variance. - Monica Pragliola; Luca Calatroni; Alessandro Lanza; Fiorella Sgallari (SIAM Rev., 2023)

Whiteness-Based Bilevel Learning of Regularization Parameters in Imaging. - Carlo Santambrogio; Monica Pragliola; Alessandro Lanza; Marco Donatelli; Luca Calatroni (EUSIPCO, 2024)

Convex Predictor-Nonconvex Corrector Optimization Strategy with Application to Signal Decomposition. - Laura Girometti; Martin Huska; Alessandro Lanza; Serena Morigi (J. Optim. Theory Appl., 2024)

Fractional Derivative Variational Model for Additive Signal Decomposition. - Laura Girometti; Alessandro Lanza; Serena Morigi (SSVM (2), 2025)

Whiteness-Based Bilevel Estimation of Weighted TV Parameter Maps for Image Denoising. - Monica Pragliola; Luca Calatroni; Alessandro Lanza (SSVM (1), 2025)

Symmetrised fractional variation with L1 fidelity for signal denoising via Grünwald-Letnikov scheme. - Alessandro Lanza; Antonio Leaci; Serena Morigi; Franco Tomarelli (Appl. Math. Comput., 2025)

A general framework for whiteness-based parameters selection in variational models. - Francesca Bevilacqua; Alessandro Lanza; Monica Pragliola; Fiorella Sgallari (Comput. Optim. Appl., 2025)

Variational graph p-Laplacian eigendecomposition under p-orthogonality constraints. - Alessandro Lanza; Serena Morigi; Giuseppe Antonio Recupero (Comput. Optim. Appl., 2025)

Additive decomposition of one-dimensional signals using Transformers. - Samuele Salti; Andrea Pinto; Alessandro Lanza; Serena Morigi (CoRR, 2025)