| Reseg: A recurrent neural network-based model for semantic segmentation F Visin, M Ciccone, A Romero, K Kastner, K Cho, Y Bengio, M Matteucci, ... CVPRW 2016 - DeepVision Workshop, 41-48, 2016 | 339* | 2016 |
| Asynchronous Convolutional Networks for Object Detection in Neuromorphic Cameras M Cannici, M Ciccone, A Romanoni, M Matteucci CVPRW 2019 - Event-based Vision and Smart Cameras Workshop, 2019 | 102 | 2019 |
| A Differentiable Recurrent Surface for Asynchronous Event-Based Data M Cannici, M Ciccone, A Romanoni, M Matteucci ECCV 2020, 2020 | 61 | 2020 |
| NAIS-Net: Stable Deep Networks from Non-Autonomous Differential Equations M Ciccone*, M Gallieri*, J Masci, C Osendorfer, F Gomez NeurIPS 2018, 3029--3039, 2018 | 54 | 2018 |
| Cluster-driven graph federated learning over multiple domains D Caldarola, M Mancini, F Galasso, M Ciccone, E Rodolà, B Caputo CVPRW 2021 - L2ID Workshop, 2749-2758, 2021 | 34 | 2021 |
| Attention Mechanisms for Object Recognition with Event-Based Cameras M Cannici, M Ciccone, A Romanoni, M Matteucci WACV 2019, 1127-1136, 2019 | 33 | 2019 |
| Incremental Learning in Semantic Segmentation from Image Labels F Cermelli*, D Fontanel*, A Tavera*, M Ciccone, B Caputo CVPR 2022, 2022 | 23 | 2022 |
| Multi-View Stereo with Single-View Semantic Mesh Refinement A Romanoni, M Ciccone, F Visin, M Matteucci ICCVW 2017 - 3D Reconstruction Meets Semantic Workshop, 706-715, 2017 | 23 | 2017 |
| Improving Generalization in Federated Learning by Seeking Flat Minima D Caldarola*, B Caputo, M Ciccone* ECCV 2022, 2022 | 20 | 2022 |
| Coordination in adversarial sequential team games via multi-agent deep reinforcement learning A Celli, M Ciccone, R Bongo, N Gatti arXiv preprint arXiv:1912.07712, 2019 | 15 | 2019 |
| A Marriage between Adversarial Team Games and 2-player Games: Enabling Abstractions, No-regret Learning, and Subgame Solving L Carminati, F Cacciamani, M Ciccone, N Gatti ICML 2022, 2022 | 10* | 2022 |
| Multi-Agent Coordination in Adversarial Environments through Signal Mediated Strategies F Cacciamani, A Celli, M Ciccone, N Gatti AAMAS 2021, 2021 | 9 | 2021 |
| FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving L Fantauzzo*, E Fani*, D Caldarola, A Tavera, F Cermelli, M Ciccone, ... IROS 2022, 2022 | 8 | 2022 |
| Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning D Shenaj*, E Fanì*, M Toldo, D Caldarola, A Tavera, U Michieli†, ... WACV 2023, 2022 | 6 | 2022 |
| Transient-Fault-Aware Design and Training to Enhance DNNs Reliability with Zero-Overhead N Cavagnero, F Dos Santos, M Ciccone, G Averta, T Tommasi, P Rech IOLTS 2022, 2022 | 6* | 2022 |
| N-ROD: A neuromorphic dataset for synthetic-to-real domain adaptation M Cannici, C Plizzari, M Planamente, M Ciccone, A Bottino, B Caputo, ... CVPRW 2021 - Event-based Vision and Smart Cameras Workshop, 1342-1347, 2021 | 6 | 2021 |
| DA4Event: towards bridging the Sim-to-Real Gap for Event Cameras using Domain Adaptation M Planamente, C Plizzari, M Cannici, M Ciccone, F Strada, A Bottino, ... IROS / RAL 2021 6 (4), 6616–6623, 2021 | 5 | 2021 |
| Speeding up Heterogeneous Federated Learning with Sequentially Trained Superclients R Zaccone, A Rizzardi, D Caldarola, M Ciccone, B Caputo ICPR 2022, 2022 | 4 | 2022 |
| ReConvNet: Video Object Segmentation with Spatio-Temporal Features Modulation F Lattari*, M Ciccone*, M Matteucci, J Masci, F Visin The 2018 DAVIS Challenge on Video Object Segmentation - CVPR Workshops, 2018 | 2 | 2018 |
| Schedule-Robust Online Continual Learning R Wang*, M Ciccone*, G Luise, M Pontil, A Yapp, C Ciliberto arXiv preprint arXiv:2210.05561, 2022 | 1 | 2022 |
Matteo MatteucciFull Professor, Department of Electronics Information and Bioengineering, Politecnico di MilanoПотвърден имейл адрес: polimi.it
