Francesca Pistilli

Ph.D. in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 35^th cycle (2019-2022)

Ph.D. obtained in 2023

Profile

Research topic

Deep neural network for multimedia signal processing

Research interests

Big Data, Machine Learning, Neural Networks and Data Science

Multimedia Signal Processing

Biography

Francesca Pistilli received the B.Sc. degree in Electronic Engineering from Politecnico di Torino in 2017 and the M.Sc. degree in Electronic Engineering and Electrical and Computer Engineering from respectively Politecnico di Torino and University of Illinois at Chicago in 2019 and 2020. She is currently pursuing the Ph.D. degree at the Image Processing and Learning Group under the supervision of professor Enrico Magli at Politecnico di Torino. Her current research is focused on neural networks for signal processing, in particular for 3D point clouds.

Teaching

Collegi of the degree programmes

Collegio di Ingegneria Gestionale e della Produzione. 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

MostraNascondi A.A. passati

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

MostraNascondi A.A. passati

Publications

Works published during the Ph.D. View all publications in Porto@Iris

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
Pistilli, Francesca; Averta, Giuseppe (2023)
Opportunities for graph learning in robotics. In: I-RIM 3D 2023
Contributo in Atti di Convegno (Proceeding)
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, Francesca (2023)
Learning robust and efficient point cloud representations. relatore: MAGLI, ENRICO; VALSESIA, DIEGO; , 35. XXXV Ciclo, P.: 117
Doctoral Thesis
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.; 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
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)

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