Marco Ciccone
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
19
Venues
8
Active years
2016–2025
Best venue rank
A*
Where they publish
Papers
19 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | Beyond Local Sharpness: Communication-Efficient Global Sharpness-aware Minimization for Federated Learning. | Debora Caldarola, Pietro Cagnasso, Barbara Caputo, Marco Ciccone |
| 2025 | ICLR | Efficient Model Editing with Task-Localized Sparse Fine-tuning. | Leonardo Iurada, Marco Ciccone, Tatiana Tommasi |
| 2025 | ICML | Interaction-Aware Gaussian Weighting for Clustered Federated Learning. | Alessandro Licciardi, Davide Leo, Eros Fan, Barbara Caputo, Marco Ciccone |
| 2024 | CVPR | PEM: Prototype-Based Efficient MaskFormer for Image Segmentation. | Niccol Cavagnero, Gabriele Rosi, Claudia Cuttano, Francesca Pistilli, Marco Ciccone, Giuseppe Averta, Fabio Cermelli |
| 2024 | CVPR | Finding Lottery Tickets in Vision Models via Data-Driven Spectral Foresight Pruning. | Leonardo Iurada, Marco Ciccone, Tatiana Tommasi |
| 2024 | ICML | Accelerating Heterogeneous Federated Learning with Closed-form Classifiers. | Eros Fan, Raffaello Camoriano, Barbara Caputo, Marco Ciccone |
| 2023 | WACV | Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning. | Donald Shenaj, Eros Fan, Marco Toldo, Debora Caldarola, Antonio Tavera, Umberto Michieli, Marco Ciccone, Pietro Zanuttigh, Barbara Caputo |
| 2022 | CVPR | Incremental Learning in Semantic Segmentation from Image Labels. | Fabio Cermelli, Dario Fontanel, Antonio Tavera, Marco Ciccone, Barbara Caputo |
| 2022 | ECCV | Improving Generalization in Federated Learning by Seeking Flat Minima. | Debora Caldarola, Barbara Caputo, Marco Ciccone |
| 2022 | ICML | A Marriage between Adversarial Team Games and 2-player Games: Enabling Abstractions, No-regret Learning, and Subgame Solving. | Luca Carminati, Federico Cacciamani, Marco Ciccone, Nicola Gatti |
| 2022 | ICPR | Speeding up Heterogeneous Federated Learning with Sequentially Trained Superclients. | Riccardo Zaccone, Andrea Rizzardi, Debora Caldarola, Marco Ciccone, Barbara Caputo |
| 2022 | IOLTS | Transient-Fault-Aware Design and Training to Enhance DNNs Reliability with Zero-Overhead. | Niccol Cavagnero, Fernando Fernandes dos Santos, Marco Ciccone, Giuseppe Averta, Tatiana Tommasi, Paolo Rech |
| 2022 | IROS | FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving. | Lidia Fantauzzo, Eros Fan, Debora Caldarola, Antonio Tavera, Fabio Cermelli, Marco Ciccone, Barbara Caputo |
| 2021 | CVPR | Cluster-Driven Graph Federated Learning Over Multiple Domains. | Debora Caldarola, Massimiliano Mancini, Fabio Galasso, Marco Ciccone, Emanuele Rodol, Barbara Caputo |
| 2021 | CVPR | N-ROD: A Neuromorphic Dataset for Synthetic-to-Real Domain Adaptation. | Marco Cannici, Chiara Plizzari, Mirco Planamente, Marco Ciccone, Andrea Bottino, Barbara Caputo, Matteo Matteucci |
| 2020 | ECCV | A Differentiable Recurrent Surface for Asynchronous Event-Based Data. | Marco Cannici, Marco Ciccone, Andrea Romanoni, Matteo Matteucci |
| 2019 | CVPR | Asynchronous Convolutional Networks for Object Detection in Neuromorphic Cameras. | Marco Cannici, Marco Ciccone, Andrea Romanoni, Matteo Matteucci |
| 2019 | WACV | Attention Mechanisms for Object Recognition With Event-Based Cameras. | Marco Cannici, Marco Ciccone, Andrea Romanoni, Matteo Matteucci |
| 2016 | CVPR | ReSeg: A Recurrent Neural Network-Based Model for Semantic Segmentation. | Francesco Visin, Adriana Romero, Kyunghyun Cho, Matteo Matteucci, Marco Ciccone, Kyle Kastner, Yoshua Bengio, Aaron C. Courville |