Francesca Pistilli

Orcid: 0000-0001-9372-032X

According to our database1, Francesca Pistilli authored at least 15 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Hier-EgoPack: Hierarchical Egocentric Video Understanding With Diverse Task Perspectives.
IEEE Trans. Pattern Anal. Mach. Intell., February, 2026

2025
Rethinking Cross-Modal Interaction for Efficient Referring Image Segmentation.
IEEE Robotics Autom. Lett., August, 2025

Learning reusable concepts across different egocentric video understanding tasks.
CoRR, May, 2025

FORESCENE: FOREcasting human activity via latent SCENE graphs diffusion.
CoRR, March, 2025

Continual Learning Should Move Beyond Incremental Classification.
CoRR, February, 2025

A CNN-ViT Hybrid Architecture Search Benchmark on a Large-Scale Dataset.
IEEE Access, 2025

HiERO: Understanding the Hierarchy of Human Behavior Enhances Reasoning on Egocentric Videos.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024
A Backpack Full of Skills: Egocentric Video Understanding with Diverse Task Perspectives.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

PEM: Prototype-Based Efficient MaskFormer for Image Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Graph Learning in Robotics: A Survey.
IEEE Access, 2023

Entropic Score metric: Decoupling Topology and Size in Training-free NAS.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Signal Compression via Neural Implicit Representations.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Learning Robust Graph-Convolutional Representations for Point Cloud Denoising.
IEEE J. Sel. Top. Signal Process., 2021

2020
Point Cloud Normal Estimation with Graph-Convolutional Neural Networks.
Proceedings of the 2020 IEEE International Conference on Multimedia & Expo Workshops, 2020

Learning Graph-Convolutional Representations for Point Cloud Denoising.
Proceedings of the Computer Vision - ECCV 2020, 2020


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