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2020 – today
- 2024
[j9]Marco Toldo
, Umberto Michieli, Pietro Zanuttigh:
Learning With Style: Continual Semantic Segmentation Across Tasks and Domains. IEEE Trans. Pattern Anal. Mach. Intell. 46(11): 7434-7450 (2024)- [j8]Francesco Barbato, Umberto Michieli, Marco Toldo, Pietro Zanuttigh:
Road scenes segmentation across different domains by disentangling latent representations. Vis. Comput. 40(2): 811-830 (2024) - [c23]Umberto Michieli, Mete Ozay:
HOP to the Next Tasks and Domains for Continual Learning in NLP. AAAI 2024: 14359-14369 - [c22]Elena Camuffo, Umberto Michieli, Jijoong Moon, Daehyun Kim, Mete Ozay:
FFT-Based Selection and Optimization of Statistics for Robust Recognition of Severely Corrupted Images. ICASSP 2024: 2795-2799 - [c21]Hafiz Tiomoko Ali, Umberto Michieli, Ji Joong Moon, Daehyun Kim, Mete Ozay:
Deep Neural Network Models Trained with a Fixed Random Classifier Transfer Better Across Domains. ICASSP 2024: 5305-5309 - [c20]Umberto Michieli, Jijoong Moon, Daehyun Kim, Mete Ozay:
Object-Conditioned Bag of Instances for Few-Shot Personalized Instance Recognition. ICASSP 2024: 7885-7889 - [c19]Francesco Barbato, Umberto Michieli, Mehmet Kerim Yucel, Pietro Zanuttigh, Mete Ozay:
A Modular System for Enhanced Robustness of Multimedia Understanding Networks via Deep Parametric Estimation. MMSys 2024: 190-201 - [i33]Francesco Barbato, Umberto Michieli, Mehmet Kerim Yucel, Pietro Zanuttigh, Mete Ozay:
A Modular System for Enhanced Robustness of Multimedia Understanding Networks via Deep Parametric Estimation. CoRR abs/2402.18402 (2024) - [i32]Umberto Michieli, Mete Ozay:
HOP to the Next Tasks and Domains for Continual Learning in NLP. CoRR abs/2402.18449 (2024) - [i31]Hafiz Tiomoko Ali, Umberto Michieli, Ji Joong Moon, Daehyun Kim, Mete Ozay:
Deep Neural Network Models Trained With A Fixed Random Classifier Transfer Better Across Domains. CoRR abs/2402.18614 (2024) - [i30]Elena Camuffo, Umberto Michieli, Jijoong Moon, Daehyun Kim, Mete Ozay:
FFT-based Selection and Optimization of Statistics for Robust Recognition of Severely Corrupted Images. CoRR abs/2403.14335 (2024) - [i29]Umberto Michieli, Jijoong Moon, Daehyun Kim, Mete Ozay:
Object-conditioned Bag of Instances for Few-Shot Personalized Instance Recognition. CoRR abs/2404.01397 (2024) - [i28]Hasan Abed Al Kader Hammoud, Umberto Michieli, Fabio Pizzati, Philip Torr, Adel Bibi, Bernard Ghanem, Mete Ozay:
Model Merging and Safety Alignment: One Bad Model Spoils the Bunch. CoRR abs/2406.14563 (2024) - [i27]Francesco Barbato, Umberto Michieli, Jijoong Moon, Pietro Zanuttigh, Mete Ozay:
Cross-Architecture Auxiliary Feature Space Translation for Efficient Few-Shot Personalized Object Detection. CoRR abs/2407.01193 (2024) - [i26]Elena Camuffo, Umberto Michieli, Simone Milani, Jijoong Moon, Mete Ozay:
Enhanced Model Robustness to Input Corruptions by Per-corruption Adaptation of Normalization Statistics. CoRR abs/2407.06450 (2024) - [i25]Kirill Paramonov, Jia-Xing Zhong, Umberto Michieli, Jijoong Moon, Mete Ozay:
Swiss DINO: Efficient and Versatile Vision Framework for On-device Personal Object Search. CoRR abs/2407.07541 (2024) - 2023
- [j7]Umberto Michieli, Marco Toldo, Mete Ozay:
Federated Learning via Attentive Margin of Semantic Feature Representations. IEEE Internet Things J. 10(2): 1517-1535 (2023) - [j6]Paolo Testolina, Francesco Barbato, Umberto Michieli, Marco Giordani, Pietro Zanuttigh, Michele Zorzi:
SELMA: SEmantic Large-Scale Multimodal Acquisitions in Variable Weather, Daytime and Viewpoints. IEEE Trans. Intell. Transp. Syst. 24(7): 7012-7024 (2023) - [c18]James Stewart, Umberto Michieli, Mete Ozay:
Data-Free Model Pruning at Initialization via Expanders. CVPR Workshops 2023: 4519-4524 - [c17]D. Campagnolo, Elena Camuffo, Umberto Michieli, Paolo Borin, Simone Milani, Andrea Giordano:
Fully Automated Scan-to-BIM Via Point Cloud Instance Segmentation. ICIP 2023: 291-295 - [c16]Umberto Michieli, Pablo Peso Parada, Mete Ozay:
Online Continual Learning in Keyword Spotting for Low-Resource Devices via Pooling High-Order Temporal Statistics. INTERSPEECH 2023: 1628-1632 - [c15]Edward Fish, Umberto Michieli, Mete Ozay:
A Model for Every User and Budget: Label-Free and Personalized Mixed-Precision Quantization. INTERSPEECH 2023: 3232-3236 - [c14]Umberto Michieli, Mete Ozay:
Online Continual Learning for Robust Indoor Object Recognition. IROS 2023: 3849-3856 - [c13]Donald Shenaj, Eros Fanì, Marco Toldo, Debora Caldarola, Antonio Tavera, Umberto Michieli, Marco Ciccone, Pietro Zanuttigh, Barbara Caputo:
Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning. WACV 2023: 444-454 - [i24]Elena Camuffo, Umberto Michieli, Simone Milani:
Learning from Mistakes: Self-Regularizing Hierarchical Semantic Representations in Point Cloud Segmentation. CoRR abs/2301.11145 (2023) - [i23]Umberto Michieli, Mete Özay:
Online Continual Learning for Robust Indoor Object Recognition. CoRR abs/2307.09827 (2023) - [i22]Edward Fish, Umberto Michieli, Mete Özay:
A Model for Every User and Budget: Label-Free and Personalized Mixed-Precision Quantization. CoRR abs/2307.12659 (2023) - [i21]Umberto Michieli, Pablo Peso Parada, Mete Ozay:
Online Continual Learning in Keyword Spotting for Low-Resource Devices via Pooling High-Order Temporal Statistics. CoRR abs/2307.12660 (2023) - [i20]Chang Liu, Giulia Rizzoli, Francesco Barbato, Umberto Michieli, Yi Niu, Pietro Zanuttigh:
RECALL+: Adversarial Web-based Replay for Continual Learning in Semantic Segmentation. CoRR abs/2309.10479 (2023) - 2022
- [j5]Umberto Michieli, Pietro Zanuttigh:
Edge-Aware Graph Matching Network for Part-Based Semantic Segmentation. Int. J. Comput. Vis. 130(11): 2797-2821 (2022) - [j4]Donald Shenaj, Francesco Barbato, Umberto Michieli, Pietro Zanuttigh:
Continual coarse-to-fine domain adaptation in semantic segmentation. Image Vis. Comput. 121: 104426 (2022) - [i19]Donald Shenaj, Francesco Barbato, Umberto Michieli, Pietro Zanuttigh:
Continual Coarse-to-Fine Domain Adaptation in Semantic Segmentation. CoRR abs/2201.06974 (2022) - [i18]Paolo Testolina, Francesco Barbato, Umberto Michieli, Marco Giordani, Pietro Zanuttigh, Michele Zorzi:
SELMA: SEmantic Large-scale Multimodal Acquisitions in Variable Weather, Daytime and Viewpoints. CoRR abs/2204.09788 (2022) - [i17]Donald Shenaj, Eros Fanì, Marco Toldo, Debora Caldarola, Antonio Tavera, Umberto Michieli, Marco Ciccone, Pietro Zanuttigh, Barbara Caputo:
Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning. CoRR abs/2210.02326 (2022) - [i16]Marco Toldo, Umberto Michieli, Pietro Zanuttigh:
Learning with Style: Continual Semantic Segmentation Across Tasks and Domains. CoRR abs/2210.07016 (2022) - 2021
- [j3]Umberto Michieli, Pietro Zanuttigh:
Knowledge distillation for incremental learning in semantic segmentation. Comput. Vis. Image Underst. 205: 103167 (2021) - [c12]Umberto Michieli, Pietro Zanuttigh:
Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations. CVPR 2021: 1114-1124 - [c11]Umberto Michieli, Mete Ozay:
Are All Users Treated Fairly in Federated Learning Systems? CVPR Workshops 2021: 2318-2322 - [c10]Francesco Barbato, Marco Toldo, Umberto Michieli, Pietro Zanuttigh:
Latent Space Regularization for Unsupervised Domain Adaptation in Semantic Segmentation. CVPR Workshops 2021: 2835-2845 - [c9]Andrea Maracani, Umberto Michieli, Marco Toldo, Pietro Zanuttigh:
RECALL: Replay-based Continual Learning in Semantic Segmentation. ICCV 2021: 7006-7015 - [c8]Marco Toldo, Umberto Michieli, Pietro Zanuttigh:
Unsupervised Domain Adaptation in Semantic Segmentation via Orthogonal and Clustered Embeddings. WACV 2021: 1357-1367 - [i15]Umberto Michieli, Pietro Zanuttigh:
Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations. CoRR abs/2103.06342 (2021) - [i14]Francesco Barbato, Marco Toldo, Umberto Michieli, Pietro Zanuttigh:
Latent Space Regularization for Unsupervised Domain Adaptation in Semantic Segmentation. CoRR abs/2104.02633 (2021) - [i13]Umberto Michieli, Mete Ozay:
Prototype Guided Federated Learning of Visual Feature Representations. CoRR abs/2105.08982 (2021) - [i12]Francesco Barbato, Umberto Michieli, Marco Toldo, Pietro Zanuttigh:
Adapting Segmentation Networks to New Domains by Disentangling Latent Representations. CoRR abs/2108.03021 (2021) - [i11]Andrea Maracani, Umberto Michieli, Marco Toldo, Pietro Zanuttigh:
RECALL: Replay-based Continual Learning in Semantic Segmentation. CoRR abs/2108.03673 (2021) - 2020
- [j2]Marco Toldo, Umberto Michieli, Gianluca Agresti, Pietro Zanuttigh:
Unsupervised domain adaptation for mobile semantic segmentation based on cycle consistency and feature alignment. Image Vis. Comput. 95: 103889 (2020) - [j1]Umberto Michieli, Matteo Biasetton, Gianluca Agresti, Pietro Zanuttigh:
Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation. IEEE Trans. Intell. Veh. 5(3): 508-518 (2020) - [c7]Umberto Michieli, Edoardo Borsato, Luca Rossi, Pietro Zanuttigh:
GMNet: Graph Matching Network for Large Scale Part Semantic Segmentation in the Wild. ECCV (8) 2020: 397-414 - [c6]Teo Spadotto, Marco Toldo, Umberto Michieli, Pietro Zanuttigh:
Unsupervised Domain Adaptation with Multiple Domain Discriminators and Adaptive Self-Training. ICPR 2020: 2845-2852 - [i10]Marco Toldo, Umberto Michieli, Gianluca Agresti, Pietro Zanuttigh:
Unsupervised Domain Adaptation for Mobile Semantic Segmentation based on Cycle Consistency and Feature Alignment. CoRR abs/2001.04692 (2020) - [i9]Teo Spadotto, Marco Toldo, Umberto Michieli, Pietro Zanuttigh:
Unsupervised Domain Adaptation with Multiple Domain Discriminators and Adaptive Self-Training. CoRR abs/2004.12724 (2020) - [i8]Marco Toldo, Andrea Maracani, Umberto Michieli, Pietro Zanuttigh:
Unsupervised Domain Adaptation in Semantic Segmentation: a Review. CoRR abs/2005.10876 (2020) - [i7]Umberto Michieli, Edoardo Borsato, Luca Rossi, Pietro Zanuttigh:
GMNet: Graph Matching Network for Large Scale Part Semantic Segmentation in the Wild. CoRR abs/2007.09073 (2020) - [i6]Marco Toldo, Umberto Michieli, Pietro Zanuttigh:
Unsupervised Domain Adaptation in Semantic Segmentation via Orthogonal and Clustered Embeddings. CoRR abs/2011.12616 (2020)
2010 – 2019
- 2019
- [c5]Matteo Biasetton, Umberto Michieli, Gianluca Agresti, Pietro Zanuttigh:
Unsupervised Domain Adaptation for Semantic Segmentation of Urban Scenes. CVPR Workshops 2019: 22-31 - [c4]Matteo Biasetton, Umberto Michieli, Gianluca Agresti, Pietro Zanuttigh:
Unsupervised Domain Adaptation for Semantic Segmentation of Urban Scenes. CVPR Workshops 2019: 1211-1220 - [c3]Umberto Michieli, Pietro Zanuttigh:
Incremental Learning Techniques for Semantic Segmentation. ICCV Workshops 2019: 3205-3212 - [c2]Umberto Michieli, Maria Camporese, Andrea Agiollo, Giampaolo Pagnutti, Pietro Zanuttigh:
Region Merging Driven by Deep Learning for RGB-D Segmentation and Labeling. ICDSC 2019: 9:1-9:6 - [i5]Umberto Michieli, Pietro Zanuttigh:
Incremental Learning Techniques for Semantic Segmentation. CoRR abs/1907.13372 (2019) - [i4]Umberto Michieli, Matteo Biasetton, Gianluca Agresti, Pietro Zanuttigh:
Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation. CoRR abs/1909.00781 (2019) - [i3]Umberto Michieli, Pietro Zanuttigh:
Knowledge Distillation for Incremental Learning in Semantic Segmentation. CoRR abs/1911.03462 (2019) - 2018
- [c1]Umberto Michieli, Leonardo Badia:
Game Theoretic Analysis of Road User Safety Scenarios Involving Autonomous Vehicles. PIMRC 2018: 1377-1381 - [i2]Umberto Michieli, Leonardo Badia:
Game Theoretic Analysis of Road User Safety Scenarios Involving Autonomous Vehicles. CoRR abs/1803.02393 (2018) - [i1]Umberto Michieli:
Complex Network Analysis of Men Single ATP Tennis Matches. CoRR abs/1804.08138 (2018)
Coauthor Index
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last updated on 2024-11-07 20:29 CET by the dblp team
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