Marco Ciccone

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 46

Top Topics

Revised Selected Papers

Semantic Segmentation

Reinforcement Learning

Domain Adaptation

Top Venues

IEEE Robotics Autom. Lett.

Publications

Leonardo Iurada, Marco Ciccone, Tatiana Tommasi
Finding Lottery Tickets in Vision Models via Data-driven Spectral Foresight Pruning. 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)
Andrea Silvi, Andrea Rizzardi, Debora Caldarola, Barbara Caputo, Marco Ciccone
Accelerating Federated Learning via Sequential Training of Grouped Heterogeneous Clients. IEEE Access 12 (2024)
Eros Fanì, Raffaello Camoriano, Barbara Caputo, Marco Ciccone
Accelerating Heterogeneous Federated Learning with Closed-form Classifiers. CoRR (2024)
Donald Shenaj, Eros Fanì, Marco Toldo, Debora Caldarola, Antonio Tavera, Umberto Michieli, Marco Ciccone, Pietro Zanuttigh, Barbara Caputo
Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning. WACV (2023)
Debora Caldarola, Barbara Caputo, Marco Ciccone
Window-based Model Averaging Improves Generalization in Heterogeneous Federated Learning. ICCV (Workshops) (2023)
Eros Fanì, Marco Ciccone, Barbara Caputo
FedDrive v2: an Analysis of the Impact of Label Skewness in Federated Semantic Segmentation for Autonomous Driving. CoRR (2023)
Debora Caldarola, Barbara Caputo, Marco Ciccone
Window-based Model Averaging Improves Generalization in Heterogeneous Federated Learning. CoRR (2023)
Donato Crisostomi, Irene Cannistraci, Luca Moschella, Pietro Barbiero, Marco Ciccone, Pietro Liò, Emanuele Rodolà
From Charts to Atlas: Merging Latent Spaces into One. CoRR (2023)
Riccardo Zaccone, Carlo Masone, Marco Ciccone
Communication-Efficient Heterogeneous Federated Learning with Generalized Heavy-Ball Momentum. CoRR (2023)
Niccolò Cavagnero, Fernando Dos Santos, Marco Ciccone, Giuseppe Averta, Tatiana Tommasi, Paolo Rech
Fault-Aware Design and Training to Enhance DNNs Reliability with Zero-Overhead. CoRR (2022)
Luca Carminati, Federico Cacciamani, Marco Ciccone, Nicola Gatti
Public Information Representation for Adversarial Team Games. CoRR (2022)
Riccardo Zaccone, Andrea Rizzardi, Debora Caldarola, Marco Ciccone, Barbara Caputo
Speeding up Heterogeneous Federated Learning with Sequentially Trained Superclients. ICPR (2022)
Fabio Cermelli, Dario Fontanel, Antonio Tavera, Marco Ciccone, Barbara Caputo
Incremental Learning in Semantic Segmentation from Image Labels. CVPR (2022)
Donald Shenaj, Eros Fanì, Marco Toldo, Debora Caldarola, Antonio Tavera, Umberto Michieli, Marco Ciccone, Pietro Zanuttigh, Barbara Caputo
Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning. CoRR (2022)
Debora Caldarola, Barbara Caputo, Marco Ciccone
Improving Generalization in Federated Learning by Seeking Flat Minima. CoRR (2022)
Lidia Fantauzzo, Eros Fani', Debora Caldarola, Antonio Tavera, Fabio Cermelli, Marco Ciccone, Barbara Caputo
FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving. CoRR (2022)
Niccolò Cavagnero, Fernando Dos Santos, Marco Ciccone, Giuseppe Averta, Tatiana Tommasi, Paolo Rech
Transient-Fault-Aware Design and Training to Enhance DNNs Reliability with Zero-Overhead. IOLTS (2022)
Luca Carminati, Federico Cacciamani, Marco Ciccone, Nicola Gatti
A Marriage between Adversarial Team Games and 2-player Games: Enabling Abstractions, No-regret Learning, and Subgame Solving. ICML (2022)
Riccardo Zaccone, Andrea Rizzardi, Debora Caldarola, Marco Ciccone, Barbara Caputo
Speeding up Heterogeneous Federated Learning with Sequentially Trained Superclients. CoRR (2022)
Luca Carminati, Federico Cacciamani, Marco Ciccone, Nicola Gatti
A Marriage between Adversarial Team Games and 2-player Games: Enabling Abstractions, No-regret Learning, and Subgame Solving. CoRR (2022)
Ruohan Wang, Marco Ciccone, Giulia Luise, Andrew Yapp, Massimiliano Pontil, Carlo Ciliberto
Schedule-Robust Online Continual Learning. CoRR (2022)
Lidia Fantauzzo, Eros Fanì, Debora Caldarola, Antonio Tavera, Fabio Cermelli, Marco Ciccone, Barbara Caputo
FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving. IROS (2022)
Debora Caldarola, Barbara Caputo, Marco Ciccone
Improving Generalization in Federated Learning by Seeking Flat Minima. ECCV (23) (2022)
Marco Cannici, Chiara Plizzari, Mirco Planamente, Marco Ciccone, Andrea Bottino, Barbara Caputo, Matteo Matteucci
N-ROD: A Neuromorphic Dataset for Synthetic-to-Real Domain Adaptation. CVPR Workshops (2021)
Federico Cacciamani, Andrea Celli, Marco Ciccone, Nicola Gatti
Multi-Agent Coordination in Adversarial Environments through Signal Mediated Strategies. AAMAS (2021)
Debora Caldarola, Massimiliano Mancini, Fabio Galasso, Marco Ciccone, Emanuele Rodolà, Barbara Caputo
Cluster-driven Graph Federated Learning over Multiple Domains. CoRR (2021)
Fabio Cermelli, Dario Fontanel, Antonio Tavera, Marco Ciccone, Barbara Caputo
Incremental Learning in Semantic Segmentation from Image Labels. CoRR (2021)
Marco Ciccone, Gustavo Stolovitzky, Jacob Albrecht
NeurIPS 2022 Competition Track Revised Selected Papers. NeurIPS (Competition and Demos) (2021)
Mirco Planamente, Chiara Plizzari, Marco Cannici, Marco Ciccone, Francesco Strada, Andrea Bottino, Matteo Matteucci, Barbara Caputo
DA4Event: towards bridging the Sim-to-Real Gap for Event Cameras using Domain Adaptation. CoRR (2021)
Debora Caldarola, Massimiliano Mancini, Fabio Galasso, Marco Ciccone, Emanuele Rodolà, Barbara Caputo
Cluster-Driven Graph Federated Learning Over Multiple Domains. CVPR Workshops (2021)
Federico Cacciamani, Andrea Celli, Marco Ciccone, Nicola Gatti
Multi-Agent Coordination in Adversarial Environments through Signal Mediated Strategies. CoRR (2021)
Mirco Planamente, Chiara Plizzari, Marco Cannici, Marco Ciccone, Francesco Strada, Andrea Bottino, Matteo Matteucci, Barbara Caputo
DA4Event: Towards Bridging the Sim-to-Real Gap for Event Cameras Using Domain Adaptation. IEEE Robotics Autom. Lett. 6 (4) (2021)
Marco Cannici, Marco Ciccone, Andrea Romanoni, Matteo Matteucci
A Differentiable Recurrent Surface for Asynchronous Event-Based Data. ECCV (20) (2020)
Marco Cannici, Marco Ciccone, Andrea Romanoni, Matteo Matteucci
Matrix-LSTM: a Differentiable Recurrent Surface for Asynchronous Event-Based Data. CoRR (2020)
Marco Cannici, Marco Ciccone, Andrea Romanoni, Matteo Matteucci
Attention Mechanisms for Object Recognition With Event-Based Cameras. WACV (2019)
Andrea Celli, Marco Ciccone, Raffaele Bongo, Nicola Gatti
Coordination in Adversarial Sequential Team Games via Multi-Agent Deep Reinforcement Learning. CoRR (2019)
Marco Cannici, Marco Ciccone, Andrea Romanoni, Matteo Matteucci
Asynchronous Convolutional Networks for Object Detection in Neuromorphic Cameras. CVPR Workshops (2019)
Marco Ciccone, Marco Gallieri, Jonathan Masci, Christian Osendorfer, Faustino J. Gomez
NAIS-Net: Stable Deep Networks from Non-Autonomous Differential Equations. NeurIPS (2018)
Francesco Lattari, Marco Ciccone, Matteo Matteucci, Jonathan Masci, Francesco Visin
ReConvNet: Video Object Segmentation with Spatio-Temporal Features Modulation. CoRR (2018)
Marco Cannici, Marco Ciccone, Andrea Romanoni, Matteo Matteucci
Attention Mechanisms for Object Recognition with Event-Based Cameras. CoRR (2018)
Marco Ciccone, Marco Gallieri, Jonathan Masci, Christian Osendorfer, Faustino J. Gomez
NAIS-Net: Stable Deep Networks from Non-Autonomous Differential Equations. CoRR (2018)
Marco Cannici, Marco Ciccone, Andrea Romanoni, Matteo Matteucci
Event-based Convolutional Networks for Object Detection in Neuromorphic Cameras. CoRR (2018)
Andrea Romanoni, Marco Ciccone, Francesco Visin, Matteo Matteucci
Multi-view Stereo with Single-View Semantic Mesh Refinement. ICCV Workshops (2017)
Andrea Romanoni, Marco Ciccone, Francesco Visin, Matteo Matteucci
Multi-View Stereo with Single-View Semantic Mesh Refinement. CoRR (2017)
Francesco Visin, Adriana Romero, Kyunghyun Cho, Matteo Matteucci, Marco Ciccone, Kyle Kastner, Yoshua Bengio, Aaron C. Courville
ReSeg: A Recurrent Neural Network-Based Model for Semantic Segmentation. CVPR Workshops (2016)