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2020 – today
- 2024
[j2]Andrea Silvi
, Andrea Rizzardi, Debora Caldarola, Barbara Caputo, Marco Ciccone:
Accelerating Federated Learning via Sequential Training of Grouped Heterogeneous Clients. IEEE Access 12: 57043-57058 (2024)- [c21]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 - [c20]Leonardo Iurada, Marco Ciccone, Tatiana Tommasi:
Finding Lottery Tickets in Vision Models via Data-Driven Spectral Foresight Pruning. CVPR 2024: 16142-16151 - [c19]Eros Fanì, Raffaello Camoriano, Barbara Caputo, Marco Ciccone:
Accelerating Heterogeneous Federated Learning with Closed-form Classifiers. ICML 2024 - [i26]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) - [i25]Eros Fanì, Raffaello Camoriano, Barbara Caputo, Marco Ciccone:
Accelerating Heterogeneous Federated Learning with Closed-form Classifiers. CoRR abs/2406.01116 (2024) - [i24]Leonardo Iurada, Marco Ciccone, Tatiana Tommasi:
Finding Lottery Tickets in Vision Models via Data-driven Spectral Foresight Pruning. CoRR abs/2406.01820 (2024) - 2023
- [c18]Debora Caldarola, Barbara Caputo, Marco Ciccone:
Window-based Model Averaging Improves Generalization in Heterogeneous Federated Learning. ICCV (Workshops) 2023: 2255-2263 - [c17]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: 444-454 - [i23]Eros Fanì, Marco Ciccone, Barbara Caputo:
FedDrive v2: an Analysis of the Impact of Label Skewness in Federated Semantic Segmentation for Autonomous Driving. CoRR abs/2309.13336 (2023) - [i22]Debora Caldarola, Barbara Caputo, Marco Ciccone:
Window-based Model Averaging Improves Generalization in Heterogeneous Federated Learning. CoRR abs/2310.01366 (2023) - [i21]Donato Crisostomi, Irene Cannistraci, Luca Moschella, Pietro Barbiero, Marco Ciccone, Pietro Liò, Emanuele Rodolà:
From Charts to Atlas: Merging Latent Spaces into One. CoRR abs/2311.06547 (2023) - [i20]Riccardo Zaccone, Carlo Masone, Marco Ciccone:
Communication-Efficient Heterogeneous Federated Learning with Generalized Heavy-Ball Momentum. CoRR abs/2311.18578 (2023) - 2022
- [c16]Fabio Cermelli, Dario Fontanel, Antonio Tavera, Marco Ciccone, Barbara Caputo:
Incremental Learning in Semantic Segmentation from Image Labels. CVPR 2022: 4361-4371 - [c15]Debora Caldarola, Barbara Caputo, Marco Ciccone:
Improving Generalization in Federated Learning by Seeking Flat Minima. ECCV (23) 2022: 654-672 - [c14]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: 2638-2657 - [c13]Riccardo Zaccone, Andrea Rizzardi, Debora Caldarola, Marco Ciccone, Barbara Caputo:
Speeding up Heterogeneous Federated Learning with Sequentially Trained Superclients. ICPR 2022: 3376-3382 - [c12]Niccolò Cavagnero, Fernando Fernandes 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: 1-7 - [c11]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: 11504-11511 - [e2]Douwe Kiela, Marco Ciccone, Barbara Caputo:
NeurIPS 2021 Competitions and Demonstrations Track, 6-14 December 2021, Online. Proceedings of Machine Learning Research 176, PMLR 2022 [contents] - [e1]Marco Ciccone, Gustavo Stolovitzky, Jacob Albrecht:
NeurIPS 2022 Competition Track, November 28 - December 9, 2022, Online. Proceedings of Machine Learning Research 220, PMLR 2022 [contents] - [i19]Luca Carminati, Federico Cacciamani, Marco Ciccone, Nicola Gatti:
Public Information Representation for Adversarial Team Games. CoRR abs/2201.10377 (2022) - [i18]Riccardo Zaccone, Andrea Rizzardi, Debora Caldarola, Marco Ciccone, Barbara Caputo:
Speeding up Heterogeneous Federated Learning with Sequentially Trained Superclients. CoRR abs/2201.10899 (2022) - [i17]Lidia Fantauzzo, Eros Fanì, Debora Caldarola, Antonio Tavera, Fabio Cermelli, Marco Ciccone, Barbara Caputo:
FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving. CoRR abs/2202.13670 (2022) - [i16]Debora Caldarola, Barbara Caputo, Marco Ciccone:
Improving Generalization in Federated Learning by Seeking Flat Minima. CoRR abs/2203.11834 (2022) - [i15]Niccolò Cavagnero, Fernando Fernandes dos Santos, Marco Ciccone, Giuseppe Averta, Tatiana Tommasi, Paolo Rech:
Fault-Aware Design and Training to Enhance DNNs Reliability with Zero-Overhead. CoRR abs/2205.14420 (2022) - [i14]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 abs/2206.09161 (2022) - [i13]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 abs/2210.02326 (2022) - [i12]Ruohan Wang, Marco Ciccone, Giulia Luise, Andrew Yapp, Massimiliano Pontil, Carlo Ciliberto:
Schedule-Robust Online Continual Learning. CoRR abs/2210.05561 (2022) - 2021
- [b1]Marco Ciccone:
On iterative and conditional computation for visual representation learning. Polytechnic University of Milan, Italy, 2021 - [j1]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): 6616-6623 (2021) - [c10]Federico Cacciamani, Andrea Celli, Marco Ciccone, Nicola Gatti:
Multi-Agent Coordination in Adversarial Environments through Signal Mediated Strategies. AAMAS 2021: 269-278 - [c9]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: 1342-1347 - [c8]Debora Caldarola, Massimiliano Mancini, Fabio Galasso, Marco Ciccone, Emanuele Rodolà, Barbara Caputo:
Cluster-Driven Graph Federated Learning Over Multiple Domains. CVPR Workshops 2021: 2749-2758 - [c7]Marco Ciccone, Gustavo Stolovitzky, Jacob Albrecht:
NeurIPS 2022 Competition Track Revised Selected Papers. NeurIPS (Competition and Demos) 2021: i - [i11]Federico Cacciamani, Andrea Celli, Marco Ciccone, Nicola Gatti:
Multi-Agent Coordination in Adversarial Environments through Signal Mediated Strategies. CoRR abs/2102.05026 (2021) - [i10]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 abs/2103.12768 (2021) - [i9]Debora Caldarola, Massimiliano Mancini, Fabio Galasso, Marco Ciccone, Emanuele Rodolà, Barbara Caputo:
Cluster-driven Graph Federated Learning over Multiple Domains. CoRR abs/2104.14628 (2021) - [i8]Fabio Cermelli, Dario Fontanel, Antonio Tavera, Marco Ciccone, Barbara Caputo:
Incremental Learning in Semantic Segmentation from Image Labels. CoRR abs/2112.01882 (2021) - 2020
- [c6]Marco Cannici, Marco Ciccone, Andrea Romanoni, Matteo Matteucci:
A Differentiable Recurrent Surface for Asynchronous Event-Based Data. ECCV (20) 2020: 136-152 - [i7]Marco Cannici, Marco Ciccone, Andrea Romanoni, Matteo Matteucci:
Matrix-LSTM: a Differentiable Recurrent Surface for Asynchronous Event-Based Data. CoRR abs/2001.03455 (2020)
2010 – 2019
- 2019
- [c5]Marco Cannici, Marco Ciccone, Andrea Romanoni, Matteo Matteucci:
Asynchronous Convolutional Networks for Object Detection in Neuromorphic Cameras. CVPR Workshops 2019: 1656-1665 - [c4]Marco Cannici, Marco Ciccone, Andrea Romanoni, Matteo Matteucci:
Attention Mechanisms for Object Recognition With Event-Based Cameras. WACV 2019: 1127-1136 - [i6]Andrea Celli, Marco Ciccone, Raffaele Bongo, Nicola Gatti:
Coordination in Adversarial Sequential Team Games via Multi-Agent Deep Reinforcement Learning. CoRR abs/1912.07712 (2019) - 2018
- [c3]Marco Ciccone, Marco Gallieri, Jonathan Masci, Christian Osendorfer, Faustino J. Gomez:
NAIS-Net: Stable Deep Networks from Non-Autonomous Differential Equations. NeurIPS 2018: 3029-3039 - [i5]Marco Ciccone, Marco Gallieri, Jonathan Masci, Christian Osendorfer, Faustino J. Gomez:
NAIS-Net: Stable Deep Networks from Non-Autonomous Differential Equations. CoRR abs/1804.07209 (2018) - [i4]Marco Cannici, Marco Ciccone, Andrea Romanoni, Matteo Matteucci:
Event-based Convolutional Networks for Object Detection in Neuromorphic Cameras. CoRR abs/1805.07931 (2018) - [i3]Francesco Lattari, Marco Ciccone, Matteo Matteucci, Jonathan Masci, Francesco Visin:
ReConvNet: Video Object Segmentation with Spatio-Temporal Features Modulation. CoRR abs/1806.05510 (2018) - [i2]Marco Cannici, Marco Ciccone, Andrea Romanoni, Matteo Matteucci:
Attention Mechanisms for Object Recognition with Event-Based Cameras. CoRR abs/1807.09480 (2018) - 2017
- [c2]Andrea Romanoni, Marco Ciccone, Francesco Visin, Matteo Matteucci:
Multi-view Stereo with Single-View Semantic Mesh Refinement. ICCV Workshops 2017: 706-715 - [i1]Andrea Romanoni, Marco Ciccone, Francesco Visin, Matteo Matteucci:
Multi-View Stereo with Single-View Semantic Mesh Refinement. CoRR abs/1708.04907 (2017) - 2016
- [c1]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: 426-433
Coauthor Index
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last updated on 2024-10-07 02:34 CEST by the dblp team
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