Umberto Michieli

Orcid: 0000-0003-2666-4342

According to our database1, Umberto Michieli authored at least 42 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Learning With Style: Continual Semantic Segmentation Across Tasks and Domains.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2024

Road scenes segmentation across different domains by disentangling latent representations.
Vis. Comput., February, 2024

Randomized Asymmetric Chain of LoRA: The First Meaningful Theoretical Framework for Low-Rank Adaptation.
CoRR, 2024

Swiss DINO: Efficient and Versatile Vision Framework for On-device Personal Object Search.
CoRR, 2024

Enhanced Model Robustness to Input Corruptions by Per-corruption Adaptation of Normalization Statistics.
CoRR, 2024

Cross-Architecture Auxiliary Feature Space Translation for Efficient Few-Shot Personalized Object Detection.
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

Object-Conditioned Bag of Instances for Few-Shot Personalized Instance Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2024

FFT-Based Selection and Optimization of Statistics for Robust Recognition of Severely Corrupted Images.
Proceedings of the IEEE International Conference on Acoustics, 2024

Deep Neural Network Models Trained with a Fixed Random Classifier Transfer Better Across Domains.
Proceedings of the IEEE International Conference on Acoustics, 2024

Model Merging and Safety Alignment: One Bad Model Spoils the Bunch.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

HOP to the Next Tasks and Domains for Continual Learning in NLP.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Federated Learning via Attentive Margin of Semantic Feature Representations.
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

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

Online Continual Learning for Robust Indoor Object Recognition.
IROS, 2023

Online Continual Learning in Keyword Spotting for Low-Resource Devices via Pooling High-Order Temporal Statistics.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

A Model for Every User and Budget: Label-Free and Personalized Mixed-Precision Quantization.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Fully Automated Scan-to-BIM Via Point Cloud Instance Segmentation.
Proceedings of the IEEE International Conference on Image Processing, 2023

Data-Free Model Pruning at Initialization via Expanders.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Continual coarse-to-fine domain adaptation in semantic segmentation.
Image Vis. Comput., 2022

Edge-Aware Graph Matching Network for Part-Based Semantic Segmentation.
Int. J. Comput. Vis., 2022

2021
Knowledge distillation for incremental learning in semantic segmentation.
Comput. Vis. Image Underst., 2021

Adapting Segmentation Networks to New Domains by Disentangling Latent Representations.
CoRR, 2021

Prototype Guided Federated Learning of Visual Feature 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

RECALL: Replay-based Continual Learning in Semantic Segmentation.
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

Are All Users Treated Fairly in Federated Learning Systems?
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 in Semantic Segmentation: a Review.
CoRR, 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
Region Merging Driven by Deep Learning for RGB-D Segmentation and Labeling.
Proceedings of the 13th International Conference on Distributed Smart Cameras, 2019

Incremental Learning Techniques for Semantic Segmentation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Unsupervised Domain Adaptation for Semantic Segmentation of Urban Scenes.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
Complex Network Analysis of Men Single ATP Tennis Matches.
CoRR, 2018

Game Theoretic Analysis of Road User Safety Scenarios Involving Autonomous Vehicles.
Proceedings of the 29th IEEE Annual International Symposium on Personal, 2018


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