Foto del docente

Alessandro Lanza

Associate Professor

Department of Mathematics

Academic discipline: MATH-05/A Numerical Analysis

Publications

A.Lanza; S. Morigi; F.Sgallari; A.Yezzi, Variational Image Denoising While Constraining the distribution of the residual, «ELECTRONIC TRANSACTIONS ON NUMERICAL ANALYSIS», 2014, 42, pp. 64 - 84 [Scientific article]

R. H. Chan; A. Lanza; S. Morigi; F.Sgallari, An Adaptive Strategy for the Restoration of Textured Images using Fractional Order Regularization, «NUMERICAL MATHEMATICS», 2013, 6, pp. 276 - 296 [Scientific article]

Samuele Salti; Alessandro Lanza; Luigi Di Stefano, Keypoints from Symmetries by Wave Propagation, in: Proc. of the 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, 2013, pp. 2898 - 2905 (atti di: 13 IEEE Conference on, Portland, OR - USA, 23-28 June 2013) [Contribution to conference proceedings]

Alessandro Lanza; Serena Morigi; Fiorella Sgallari; and Anthony J. Yezzi, Variational Image Denoising Based on Autocorrelation Whiteness, «SIAM JOURNAL ON IMAGING SCIENCES», 2013, 6, pp. 1931 - 1955 [Scientific article]

A. Lanza; Salti S.; Di Stefano L., Background Subtraction by Non-parametric Probabilistic Clustering, in: Proceedings of the 8th IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS), PISCATAWAY, NJ, IEEE Computer Society, 2011, pp. 243 - 248 (atti di: 8th IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS), Klagenfurt University, Austria, 30/08/2011-02/09/2011) [Contribution to conference proceedings]

S. Salti; A. Lanza; L. Di Stefano, Bayesian Loop for Synergistic Change Detection and Tracking, in: Computer Vision – ACCV 2010 Workshops, BERLINO, Springer Berlin Heidelberg, 2011, pp. 43 - 53 (LECTURE NOTES IN COMPUTER SCIENCE) [Chapter or essay]

A. Lanza; M. Magno; D. Brunelli; L. Di Stefano; L. Benini, Energy-Aware Objects Abandon / Removal Detection, in: Proceeding of the Workshop on Resource Aware Sensor and surveillance NETworkS (RAWSNETS), in conjunction withAVSS 2011, PISCATAWAY, NJ, IEEE Computer Society., 2011, pp. 443 - 448 (atti di: Workshop on Resource Aware Sensor and surveillance NETworkS (RAWSNETS), in conjunction withAVSS 2011, Klagenfurt (Austria), 30 Agosto 2011) [Contribution to conference proceedings]

A. Lanza; L. Di Stefano, Statistical Change Detection by the Pool Adjacent Violators Algorithm, «IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE», 2011, 33, Article number: 5722963 , pp. 1894 - 1910 [Scientific article]

A. Lanza; F. Tombari; L. Di Stefano, Accurate and efficient background subtraction by monotonic second-degree polynomial fitting, in: Proceedings of the Seventh IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), LOS ALAMITOS, IEEE, 2010, pp. 376 - 383 (atti di: Seventh IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), Boston, MA, USA, August 29 - September 1, 2010) [Contribution to conference proceedings]

Magno M. ; Lanza A. ; Brunelli D. ; Di Stefano L. ; Benini L., Energy aware multimodal embedded video surveillance, in: VLSI System on Chip Conference (VLSI-SoC), 2010 18th IEEE/IFIP, s.l, IEEE Press, 2010, pp. 264 - 269 (atti di: VLSI System on Chip Conference (VLSI-SoC), 2010 18th IEEE/IFIP, Madrid, Spain, 27-29 Sept. 2010) [Contribution to conference proceedings]

A. Lanza; F. Tombari; L. Di Stefano, Robust and efficient background subtraction by quadratic polynomial fitting, in: IEEE Proceedings of 17th IEEE International Conference on Image Processing (ICIP), LOS ALAMITOS, IEEE, 2010, pp. 1537 - 1540 (atti di: 17th IEEE International Conference on Image Processing (ICIP), Hong Kong, September 26-29, 2010) [Contribution to conference proceedings]

A. Lanza; F. Tombari; L. Di Stefano, Second-order polynomial models for background subtraction, in: Computer Vision – ACCV 2010 Workshops, Berlino, Springer Berlin Heidelberg, 2010, pp. 1 - 11 (LECTURE NOTES IN COMPUTER SCIENCE) [Chapter or essay]

A. Lanza; L. Di Stefano; L. Soffritti, Bayesian Order-Consistency Testing with Class Priors Derivation for Robust Change Detection, in: Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), WASHINGTON, IEEE Computer Society, 2009, pp. 460 - 465 (atti di: Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance, Genova, September 02-04 2009) [Contribution to conference proceedings]

F. Tombari; A. Lanza; L. Di Stefano; S. Mattoccia, Non-linear Parametric Bayesian Regression for Robust Background Subtraction, in: Proceedings of IEEE Workshop on Motion and Video Computing 2009, s.l, s.n, 2009, 1, pp. 25 - 31 (atti di: IEEE Workshop on Motion and Video Computing 2009, Snowbird, Utah (USA), 9 Dicembre 2009) [Contribution to conference proceedings]

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