Marco Ciccone

Orcid: 0000-0002-3306-1323

According to our database1, Marco Ciccone authored at least 31 papers between 2016 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
PEM: Prototype-based Efficient MaskFormer for Image Segmentation.
CoRR, 2024

2023
Communication-Efficient Heterogeneous Federated Learning with Generalized Heavy-Ball Momentum.
CoRR, 2023

From Charts to Atlas: Merging Latent Spaces into One.
CoRR, 2023

FedDrive v2: an Analysis of the Impact of Label Skewness in Federated Semantic Segmentation for Autonomous Driving.
CoRR, 2023

Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Window-based Model Averaging Improves Generalization in Heterogeneous Federated Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Schedule-Robust Online Continual Learning.
CoRR, 2022

Fault-Aware Design and Training to Enhance DNNs Reliability with Zero-Overhead.
CoRR, 2022

Public Information Representation for Adversarial Team Games.
CoRR, 2022

FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Transient-Fault-Aware Design and Training to Enhance DNNs Reliability with Zero-Overhead.
Proceedings of the 28th IEEE International Symposium on On-Line Testing and Robust System Design, 2022

Speeding up Heterogeneous Federated Learning with Sequentially Trained Superclients.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

A Marriage between Adversarial Team Games and 2-player Games: Enabling Abstractions, No-regret Learning, and Subgame Solving.
Proceedings of the International Conference on Machine Learning, 2022

Improving Generalization in Federated Learning by Seeking Flat Minima.
Proceedings of the Computer Vision - ECCV 2022, 2022

Incremental Learning in Semantic Segmentation from Image Labels.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
On iterative and conditional computation for visual representation learning.
PhD thesis, 2021

DA4Event: Towards Bridging the Sim-to-Real Gap for Event Cameras Using Domain Adaptation.
IEEE Robotics Autom. Lett., 2021

NeurIPS 2022 Competition Track Revised Selected Papers.
Proceedings of the NeurIPS 2022 Competition Track, 2021

N-ROD: A Neuromorphic Dataset for Synthetic-to-Real Domain Adaptation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Cluster-Driven Graph Federated Learning Over Multiple Domains.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Multi-Agent Coordination in Adversarial Environments through Signal Mediated Strategies.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020
Matrix-LSTM: a Differentiable Recurrent Surface for Asynchronous Event-Based Data.
CoRR, 2020

A Differentiable Recurrent Surface for Asynchronous Event-Based Data.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Coordination in Adversarial Sequential Team Games via Multi-Agent Deep Reinforcement Learning.
CoRR, 2019

Attention Mechanisms for Object Recognition With Event-Based Cameras.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Asynchronous Convolutional Networks for Object Detection in Neuromorphic Cameras.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
ReConvNet: Video Object Segmentation with Spatio-Temporal Features Modulation.
CoRR, 2018

Event-based Convolutional Networks for Object Detection in Neuromorphic Cameras.
CoRR, 2018

NAIS-Net: Stable Deep Networks from Non-Autonomous Differential Equations.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
Multi-view Stereo with Single-View Semantic Mesh Refinement.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016
ReSeg: A Recurrent Neural Network-Based Model for Semantic Segmentation.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016


  Loading...