| Learning graph-convolutional representations for point cloud denoising F Pistilli, G Fracastoro, D Valsesia, E Magli European conference on computer vision, 103-118, 2020 | 72 | 2020 |
| Learning robust graph-convolutional representations for point cloud denoising F Pistilli, G Fracastoro, D Valsesia, E Magli IEEE Journal of Selected Topics in Signal Processing 15 (2), 402-414, 2020 | 29 | 2020 |
| Point cloud normal estimation with graph-convolutional neural networks F Pistilli, G Fracastoro, D Valsesia, E Magli 2020 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 1-6, 2020 | 5 | 2020 |
| Signal compression via neural implicit representations F Pistilli, D Valsesia, G Fracastoro, E Magli ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 4 | 2022 |
| GraphPointNet: Graph Convolutional Neural Network for Point Cloud Denoising F Pistilli University of Illinois at Chicago, 2020 | 3 | 2020 |
| PEM: Prototype-based Efficient MaskFormer for Image Segmentation N Cavagnero, G Rosi, C Ruttano, F Pistilli, M Ciccone, G Averta, ... arXiv preprint arXiv:2402.19422, 2024 | 2 | 2024 |
| Graph learning in robotics: a survey F Pistilli, G Averta IEEE Access, 2023 | 2 | 2023 |
| A Backpack Full of Skills: Egocentric Video Understanding with Diverse Task Perspectives SA Peirone, F Pistilli, A Alliegro, G Averta arXiv preprint arXiv:2403.03037, 2024 | | 2024 |
| Learning robust and efficient point cloud representations F Pistilli Politecnico di Torino, 2023 | | 2023 |
| Opportunities for graph learning in robotics F Pistilli, G Averta Proceedings of I-RIM 3D Series, 2023 | | 2023 |
| Entropic Score metric: Decoupling Topology and Size in Training-free NAS N Cavagnero, L Robbiano, F Pistilli, B Caputo, G Averta Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | | 2023 |
