Umberto Michieli
Orcid: 0000-0003-2666-4342
According to our database1,
Umberto Michieli
authored at least 36 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Road scenes segmentation across different domains by disentangling latent representations.
Vis. Comput., February, 2024
FFT-based Selection and Optimization of Statistics for Robust Recognition of Severely Corrupted Images.
CoRR, 2024
Deep Neural Network Models Trained With A Fixed Random Classifier Transfer Better Across Domains.
CoRR, 2024
A Modular System for Enhanced Robustness of Multimedia Understanding Networks via Deep Parametric Estimation.
Proceedings of the 15th ACM Multimedia Systems Conference, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
IEEE Internet Things J., January, 2023
SELMA: SEmantic Large-Scale Multimodal Acquisitions in Variable Weather, Daytime and Viewpoints.
IEEE Trans. Intell. Transp. Syst., 2023
RECALL+: Adversarial Web-based Replay for Continual Learning in Semantic Segmentation.
CoRR, 2023
Online Continual Learning in Keyword Spotting for Low-Resource Devices via Pooling High-Order Temporal Statistics.
CoRR, 2023
A Model for Every User and Budget: Label-Free and Personalized Mixed-Precision Quantization.
CoRR, 2023
Learning from Mistakes: Self-Regularizing Hierarchical Semantic Representations in Point Cloud Segmentation.
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
Proceedings of the IEEE International Conference on Image Processing, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Image Vis. Comput., 2022
Int. J. Comput. Vis., 2022
CoRR, 2022
2021
Comput. Vis. Image Underst., 2021
Adapting Segmentation Networks to New Domains by Disentangling Latent Representations.
CoRR, 2021
Unsupervised Domain Adaptation in Semantic Segmentation via Orthogonal and Clustered Embeddings.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021
Latent Space Regularization for Unsupervised Domain Adaptation in Semantic Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021
2020
Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation.
IEEE Trans. Intell. Veh., 2020
Unsupervised domain adaptation for mobile semantic segmentation based on cycle consistency and feature alignment.
Image Vis. Comput., 2020
Unsupervised Domain Adaptation with Multiple Domain Discriminators and Adaptive Self-Training.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
GMNet: Graph Matching Network for Large Scale Part Semantic Segmentation in the Wild.
Proceedings of the Computer Vision - ECCV 2020, 2020
2019
Proceedings of the 13th International Conference on Distributed Smart Cameras, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019
2018
Proceedings of the 29th IEEE Annual International Symposium on Personal, 2018