Marco Toldo

According to our database, Marco Toldo authored at least 15 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Learning With Style: Continual Semantic Segmentation Across Tasks and Domains.

Marco Toldo, Umberto Michieli, Pietro Zanuttigh

IEEE Trans. Pattern Anal. Mach. Intell., November, 2024

Road scenes segmentation across different domains by disentangling latent representations.

Francesco Barbato, Umberto Michieli, Marco Toldo, Pietro Zanuttigh

Vis. Comput., February, 2024

2023

Federated Learning via Attentive Margin of Semantic Feature Representations.

Umberto Michieli, Marco Toldo, Mete Ozay

IEEE Internet Things J., January, 2023

Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning.

Donald Shenaj, Eros Fanì, Marco Toldo, Debora Caldarola, Antonio Tavera, Umberto Michieli, Marco Ciccone, Pietro Zanuttigh, Barbara Caputo

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Asynchronous Federated Continual Learning.

Donald Shenaj, Marco Toldo, Alberto Rigon, Pietro Zanuttigh

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Bring Evanescent Representations to Life in Lifelong Class Incremental Learning.

Marco Toldo, Mete Ozay

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Adapting Segmentation Networks to New Domains by Disentangling Latent Representations.

Francesco Barbato, Umberto Michieli, Marco Toldo, Pietro Zanuttigh

CoRR, 2021

Unsupervised Domain Adaptation in Semantic Segmentation via Orthogonal and Clustered Embeddings.

Marco Toldo, Umberto Michieli, Pietro Zanuttigh

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

RECALL: Replay-based Continual Learning in Semantic Segmentation.

Andrea Maracani, Umberto Michieli, Marco Toldo, Pietro Zanuttigh

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Latent Space Regularization for Unsupervised Domain Adaptation in Semantic Segmentation.

Francesco Barbato, Marco Toldo, Umberto Michieli, Pietro Zanuttigh

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Unsupervised domain adaptation for mobile semantic segmentation based on cycle consistency and feature alignment.

Marco Toldo, Umberto Michieli, Gianluca Agresti, Pietro Zanuttigh

Image Vis. Comput., 2020

Unsupervised Domain Adaptation in Semantic Segmentation: a Review.

Marco Toldo, Andrea Maracani, Umberto Michieli, Pietro Zanuttigh

CoRR, 2020

Unsupervised Domain Adaptation with Multiple Domain Discriminators and Adaptive Self-Training.

Teo Spadotto, Marco Toldo, Umberto Michieli, Pietro Zanuttigh

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2012

Low-delay peer-to-peer media streaming based on network coding over randomized multicast trees.

Marco Toldo, Enrico Magli

IEEE Trans. Multim., 2012

2010

A resilient and low-delay P2P streaming system based on network coding with random multicast trees.

Marco Toldo, Enrico Magli

Proceedings of the 2010 IEEE International Workshop on Multimedia Signal Processing, 2010