| Unsupervised Domain Adaptation in Semantic Segmentation: a Review M Toldo, A Maracani, U Michieli, P Zanuttigh Technologies, 2020 | 178 | 2020 |
| Recall: Replay-based continual learning in semantic segmentation A Maracani, U Michieli, M Toldo, P Zanuttigh Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 104 | 2021 |
| Unsupervised domain adaptation for mobile semantic segmentation based on cycle consistency and feature alignment M Toldo, U Michieli, G Agresti, P Zanuttigh Image and Vision Computing 95, 103889, 2020 | 49 | 2020 |
| Unsupervised Domain Adaptation in Semantic Segmentation via Orthogonal and Clustered Embeddings M Toldo, U Michieli, P Zanuttigh WACV2021, 2020 | 45 | 2020 |
| 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, M Ciccone, ... Proceedings of the IEEE/CVF winter conference on applications of computer …, 2023 | 25 | 2023 |
| Unsupervised Domain Adaptation with Multiple Domain Discriminators and Adaptive Self-Training T Spadotto, M Toldo, U Michieli, P Zanuttigh ICPR2020, 2020 | 23 | 2020 |
| Bring evanescent representations to life in lifelong class incremental learning M Toldo, M Ozay Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 22 | 2022 |
| Latent space regularization for unsupervised domain adaptation in semantic segmentation F Barbato, M Toldo, U Michieli, P Zanuttigh Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 22 | 2021 |
| Asynchronous federated continual learning D Shenaj, M Toldo, A Rigon, P Zanuttigh Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 8 | 2023 |
| Road scenes segmentation across different domains by disentangling latent representations F Barbato, U Michieli, M Toldo, P Zanuttigh The Visual Computer 40 (2), 811-830, 2024 | 7 | 2024 |
| Learning with style: Continual semantic segmentation across tasks and domains M Toldo, U Michieli, P Zanuttigh arXiv preprint arXiv:2210.07016, 2022 | 5 | 2022 |
| Federated learning via attentive margin of semantic feature representations U Michieli, M Toldo, M Ozay IEEE Internet of Things Journal 10 (2), 1517-1535, 2022 | 5 | 2022 |
| Unsupervised Domain Adaptation in Semantic Segmentation: A Review. Technologies 8: 35 M Toldo, A Maracani, U Michieli, P Zanuttigh | 5 | 2020 |
| Domain adaptation and continual learning in semantic segmentation U Michieli, M Toldo, P Zanuttigh Advanced Methods and Deep Learning in Computer Vision, 275-303, 2022 | 4 | 2022 |
| Adapting Segmentation Networks to New Domains by Disentangling Latent Representations. F Barbato, U Michieli, M Toldo, P Zanuttigh arXiv preprint arXiv 2108, 2021 | 2 | 2021 |
| Method and apparatus for class incremental learning O Mete, M Toldo US Patent App. 17/984,010, 2023 | | 2023 |
| Tackling the Distribution Shift in Visual Understanding Applications M Toldo Università degli studi di Padova, 2023 | | 2023 |
| Supplementary Material Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning D Shenaj, E Fanı, M Toldo, D Caldarola, A Tavera, U Michieli, M Ciccone, ... | | |
| RECALL: Replay-based Continual Learning in Semantic Segmentation Supplementary Material A Maracani, U Michieli, M Toldo, P Zanuttigh | | |
| Supplementary Materials for: Adapting Segmentation Networks to New Domains by Disentangling Latent Representations F Barbato, U Michieli, M Toldo, P Zanuttigh | | |
Pietro ZanuttighUniversity of PadovaVerified email at dei.unipd.it
