Ph.D. in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 35th cycle (2019-2022)
Ph.D. obtained in 2023
Dissertation:
Learning robust and efficient point cloud representations (Abstract)
Tutors:
Enrico Magli Diego Valsesia
Research presentation:
Video presentationProfile
Research topic
Deep neural network for multimedia signal processing
Research interests
Teaching
Collegi of the degree programmes
- Collegio di Ingegneria Gestionale e della Produzione. Componente invitato
- Collegio di Ingegneria Informatica, del Cinema e Meccatronica. Componente invitato
Teachings
Master of Science
- Multimedia signal processing. A.A. 2020/21, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
- Statistical learning and neural networks. A.A. 2021/22, ICT FOR SMART SOCIETIES (ICT PER LA SOCIETA' DEL FUTURO). Collaboratore del corso
Bachelor of Science
- Elaborazione di immagine e video. A.A. 2020/21, INGEGNERIA DEL CINEMA E DEI MEZZI DI COMUNICAZIONE. Collaboratore del corso
- Elaborazione di immagine e video. A.A. 2021/22, INGEGNERIA DEL CINEMA E DEI MEZZI DI COMUNICAZIONE. Collaboratore del corso
Research
Research groups
Research projects
Projects funded by commercial contracts
- Scene understanding , (2025-2026) - Componente gruppo di Ricerca
Commercial Research
Supervised PhD students
- Gaetano Salvatore Falco. Programme in Intelligenza Artificiale (cycle 40, 2024-in progress)
Publications
Works published during the Ph.D. View all publications in Porto@Iris
- Pistilli, Francesca (2023)
Learning robust and efficient point cloud representations. relatore: MAGLI, ENRICO; VALSESIA, DIEGO; , 35. XXXV Ciclo, P.: 117
Doctoral Thesis - Pistilli, Francesca; Averta, Giuseppe (2023)
Opportunities for graph learning in robotics. In: 2023 I-RIM Conference, Roma (ITA), October 20-22, 2023, pp. 233-236. ISBN: 978-88-945805-4-9
Contributo in Atti di Convegno (Proceeding) - Pistilli, Francesca; Averta, Giuseppe (2023)
Graph learning in robotics: a survey. In: IEEE ACCESS, vol. 11, pp. 112664-112681. ISSN 2169-3536
Contributo su Rivista - Cavagnero, Niccolo'; Robbiano, Luca; Pistilli, Francesca; Caputo, Barbara; Averta, ... (2023)
Entropic Score Metric: Decoupling Topology and Size in Training-Free NAS. In: IEEE/CVF International Conference on Computer Vision, Paris (FR), 02-06 October 2023, pp. 1451-1460. ISBN: 979-8-3503-0744-3
Contributo in Atti di Convegno (Proceeding) - Pistilli, F.; Valsesia, D.; Fracastoro, G.; Magli, E. (2022)
Signal Compression via Neural Implicit Representations. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Singapore, Singapore, 23-27 May 2022, pp. 3733-3737. ISSN 1520-6149. ISBN: 978-1-6654-0540-9
Contributo in Atti di Convegno (Proceeding) - Pistilli, F.; Valsesia, D.; Fracastoro, G.; Magli, E. (2022)
Point cloud attribute compression with neural implicit representations. In: 2022 ESA International Workshop on On-Board Data Compression, Athens (Gre), 28-30 September 2022
Contributo in Atti di Convegno (Proceeding) - Pistilli, F.; Fracastoro, G.; Valsesia, D.; Magli, E. (2021)
Learning Robust Graph-Convolutional Representations for Point Cloud Denoising. In: IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, vol. 15, pp. 402-414. ISSN 1932-4553
Contributo su Rivista - Pistilli, Francesca; Fracastoro, Giulia; Valsesia, Diego; Magli, Enrico (2020)
Learning Graph-Convolutional Representations for Point Cloud Denoising. In: European Conference on Computer Vision ECCV 2020, Glasgow (UK), August 23–28, 2020, pp. 103-118. ISSN 0302-9743. ISBN: 9783030585648
Contributo in Atti di Convegno (Proceeding) - Pistilli, Francesca; Fracastoro, Giulia; Valsesia, Diego; Magli, Enrico (2020)
Point Cloud Normal Estimation with Graph-Convolutional Neural Networks. In: 2020 IEEE International Conference on Multimedia & Expo - 3D Point Cloud Processing, Analysis, Compression, and Communication (PC-PACC) Workshop, pp. 1-6. ISBN: 978-1-7281-1485-9
Contributo in Atti di Convegno (Proceeding)