Lanzarotti Raffaella
Associate Professor
Scientific-Disciplinary Sector
IINF-05/A - Information Processing Systems
Scientific-Disciplinary Group/Competition Sector
09/IINF-05 - SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI
Research fields and competencies
Teaching - Programme courses
Bachelors and masters
A.Y. 2024/2025
A.Y. 2023/2024
A.Y. 2022/2023
A.Y. 2020/2021
A.Y. 2019/2020
A.Y. 2018/2019
Research
Publications
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Graph Neural Networks for 3D facial morphology: Assessing the effectiveness of anthropometric and automated landmark detection / G.M. Facchi, G. Grossi, A. D'Amelio, F. Agnelli, C. Sforza, G.M. Tartaglia, R. Lanzarotti. - In: PATTERN RECOGNITION LETTERS. - ISSN 0167-8655. - 195:(2025 Sep), pp. 16-22. [10.1016/j.patrec.2025.04.028]
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KA-GCN: Kernel-Attentive Graph Convolutional Network for 3D face analysis / F. Agnelli, G. Facchi, G. Grossi, R. Lanzarotti. - In: ARRAY. - ISSN 2590-0056. - 26:(2025 Jul), pp. 100392.1-100392.9. [10.1016/j.array.2025.100392]
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Enhancing rPPG pulse-signal recovery by facial sampling and PSD Clustering / G. Boccignone, D. Conte, V. Cuculo, A. D'Amelio, G. Grossi, R. Lanzarotti. - In: BIOMEDICAL SIGNAL PROCESSING AND CONTROL. - ISSN 1746-8094. - 101:(2025 Mar), pp. 107158.1-107158.13. [10.1016/j.bspc.2024.107158]
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2S-SGCN: A two-stage stratified graph convolutional network model for facial landmark detection on 3D data / J. Burger, G. Blandano, G.M. Facchi, R. Lanzarotti. - In: COMPUTER VISION AND IMAGE UNDERSTANDING. - ISSN 1077-3142. - 250:(2025 Jan), pp. 104227.1-104227.11. [10.1016/j.cviu.2024.104227]
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CliffPhys: Camera-Based Respiratory Measurement Using Clifford Neural Networks / O. Ghezzi, G. Boccignone, G. Grossi, R. Lanzarotti, A. D'Amelio (LECTURE NOTES IN COMPUTER SCIENCE). - In: Computer Vision – ECCV 2024 / [a cura di] Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T., Varol, G.. - Cham : Springer, 2025. - ISBN 978-3-031-73012-2. - pp. 221-238 (( Intervento presentato al 18. convegno European Conference on Computer Vision, ECCV tenutosi a Milano nel 2024 [10.1007/978-3-031-73013-9_13].