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2020 – today
- 2025
[j3]Claudia Cuttano
, Francesca Pistilli, Fabio Cermelli, Giuseppe Averta:
Rethinking Cross-Modal Interaction for Efficient Referring Image Segmentation. IEEE Robotics Autom. Lett. 10(8): 7811-7818 (2025)- [e1]Fabio Patrizi, Raffaello Camoriano, Carlo Masone, Marco Roveri, Luigi Palopoli, Giuseppe Averta, Francesca Pistilli:
Proceedings of the 1st Workshop on Adjustable Autonomy and Physical Embodied Intelligence (AAPEI 2024) co-located with the 27th European Conference on Artificial Intelligence (ECAI 2024), Santiago de Compostela, Spain, October 20, 2024. CEUR Workshop Proceedings 3945, CEUR-WS.org 2025 [contents] - [i10]Simone Alberto Peirone, Francesca Pistilli, Antonio Alliegro, Tatiana Tommasi, Giuseppe Averta:
Hier-EgoPack: Hierarchical Egocentric Video Understanding with Diverse Task Perspectives. CoRR abs/2502.02487 (2025) - [i9]Rupert Mitchell, Antonio Alliegro, Raffaello Camoriano, Dustin Carrión-Ojeda, Antonio Carta, Georgia Chalvatzaki, Nikhil Churamani, Carlo D'Eramo, Samin Hamidi, Robin Hesse, Fabian Hinder, Roshni Kamath, Vincenzo Lomonaco, Subarnaduti Paul, Francesca Pistilli, Tinne Tuytelaars, Gido M. van de Ven, Kristian Kersting, Simone Schaub-Meyer, Martin Mundt:
Continual Learning Should Move Beyond Incremental Classification. CoRR abs/2502.11927 (2025) - [i8]Antonio Alliegro, Francesca Pistilli, Tatiana Tommasi, Giuseppe Averta:
FORESCENE: FOREcasting human activity via latent SCENE graphs diffusion. CoRR abs/2503.06182 (2025) - [i7]Simone Alberto Peirone, Francesca Pistilli, Giuseppe Averta:
HiERO: understanding the hierarchy of human behavior enhances reasoning on egocentric videos. CoRR abs/2505.12911 (2025) - [i6]Simone Alberto Peirone, Francesca Pistilli, Antonio Alliegro, Tatiana Tommasi, Giuseppe Averta:
Learning reusable concepts across different egocentric video understanding tasks. CoRR abs/2505.24690 (2025) - 2024
- [c6]Niccolò Cavagnero, Gabriele Rosi, Claudia Cuttano, Francesca Pistilli, Marco Ciccone, Giuseppe Averta, Fabio Cermelli:
PEM: Prototype-Based Efficient MaskFormer for Image Segmentation. CVPR 2024: 15804-15813 - [c5]Simone Alberto Peirone, Francesca Pistilli, Antonio Alliegro, Giuseppe Averta:
A Backpack Full of Skills: Egocentric Video Understanding with Diverse Task Perspectives. CVPR 2024: 18275-18285 - [i5]Niccolò Cavagnero, Gabriele Rosi, Claudia Cuttano, Francesca Pistilli, Marco Ciccone, Giuseppe Averta, Fabio Cermelli:
PEM: Prototype-based Efficient MaskFormer for Image Segmentation. CoRR abs/2402.19422 (2024) - [i4]Simone Alberto Peirone, Francesca Pistilli, Antonio Alliegro, Giuseppe Averta:
A Backpack Full of Skills: Egocentric Video Understanding with Diverse Task Perspectives. CoRR abs/2403.03037 (2024) - 2023
- [j2]Francesca Pistilli, Giuseppe Averta:
Graph Learning in Robotics: A Survey. IEEE Access 11: 112664-112681 (2023) - [c4]Niccolò Cavagnero, Luca Robbiano, Francesca Pistilli, Barbara Caputo, Giuseppe Averta:
Entropic Score metric: Decoupling Topology and Size in Training-free NAS. ICCV (Workshops) 2023: 1451-1460 - [i3]Niccolò Cavagnero, Luca Robbiano, Francesca Pistilli, Barbara Caputo, Giuseppe Averta:
Entropic Score metric: Decoupling Topology and Size in Training-free NAS. CoRR abs/2310.04179 (2023) - [i2]Francesca Pistilli, Giuseppe Averta:
Graph learning in robotics: a survey. CoRR abs/2310.04294 (2023) - 2022
- [c3]Francesca Pistilli, Diego Valsesia, Giulia Fracastoro, Enrico Magli:
Signal Compression via Neural Implicit Representations. ICASSP 2022: 3733-3737 - 2021
- [j1]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): 402-414 (2021) - 2020
- [c2]Francesca Pistilli, Giulia Fracastoro, Diego Valsesia, Enrico Magli:
Learning Graph-Convolutional Representations for Point Cloud Denoising. ECCV (20) 2020: 103-118 - [c1]Francesca Pistilli, Giulia Fracastoro, Diego Valsesia, Enrico Magli:
Point Cloud Normal Estimation with Graph-Convolutional Neural Networks. ICME Workshops 2020: 1-6 - [i1]Francesca Pistilli, Giulia Fracastoro, Diego Valsesia, Enrico Magli:
Learning Graph-Convolutional Representations for Point Cloud Denoising. CoRR abs/2007.02578 (2020)
Coauthor Index
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