Francesca Pistilli

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 11

Top Topics

Convolutional Neural Networks

Distributed Representations

Top Venues

IEEE J. Sel. Top. Signal Process.

Publications

Simone Alberto Peirone, Francesca Pistilli, Antonio Alliegro, Giuseppe Averta
A Backpack Full of Skills: Egocentric Video Understanding with Diverse Task Perspectives. CoRR (2024)
Niccolò Cavagnero, Gabriele Rosi, Claudia Cuttano, Francesca Pistilli, Marco Ciccone, Giuseppe Averta, Fabio Cermelli
PEM: Prototype-based Efficient MaskFormer for Image Segmentation. CoRR (2024)
Niccolò Cavagnero, Luca Robbiano, Francesca Pistilli, Barbara Caputo, Giuseppe Averta
Entropic Score metric: Decoupling Topology and Size in Training-free NAS. CoRR (2023)
Francesca Pistilli, Giuseppe Averta
Graph learning in robotics: a survey. CoRR (2023)
Niccolò Cavagnero, Luca Robbiano, Francesca Pistilli, Barbara Caputo, Giuseppe Averta
Entropic Score metric: Decoupling Topology and Size in Training-free NAS. ICCV (Workshops) (2023)
Francesca Pistilli, Giuseppe Averta
Graph Learning in Robotics: A Survey. IEEE Access 11 (2023)
Francesca Pistilli, Diego Valsesia, Giulia Fracastoro, Enrico Magli
Signal Compression via Neural Implicit Representations. ICASSP (2022)
Francesca Pistilli, Giulia Fracastoro, Diego Valsesia, Enrico Magli
Learning Robust Graph-Convolutional Representations for Point Cloud Denoising. IEEE J. Sel. Top. Signal Process. 15 (2) (2021)
Francesca Pistilli, Giulia Fracastoro, Diego Valsesia, Enrico Magli
Learning Graph-Convolutional Representations for Point Cloud Denoising. ECCV (20) (2020)
Francesca Pistilli, Giulia Fracastoro, Diego Valsesia, Enrico Magli
Point Cloud Normal Estimation with Graph-Convolutional Neural Networks. ICME Workshops (2020)
Francesca Pistilli, Giulia Fracastoro, Diego Valsesia, Enrico Magli
Learning Graph-Convolutional Representations for Point Cloud Denoising. CoRR (2020)