Game Theoretic Analysis of Road User Safety Scenarios Involving Autonomous Vehicles. - Umberto Michieli; Leonardo Badia (PIMRC, 2018)

Complex Network Analysis of Men Single ATP Tennis Matches. - Umberto Michieli (CoRR, 2018)

Unsupervised Domain Adaptation for Semantic Segmentation of Urban Scenes. - Matteo Biasetton; Umberto Michieli; Gianluca Agresti; Pietro Zanuttigh (CVPR Workshops, 2019)

Incremental Learning Techniques for Semantic Segmentation. - Umberto Michieli; Pietro Zanuttigh (ICCV Workshops, 2019)

Region Merging Driven by Deep Learning for RGB-D Segmentation and Labeling. - Umberto Michieli; Maria Camporese; Andrea Agiollo; Giampaolo Pagnutti; Pietro Zanuttigh (ICDSC, 2019)

GMNet: Graph Matching Network for Large Scale Part Semantic Segmentation in the Wild. - Umberto Michieli; Edoardo Borsato; Luca Rossi 008; Pietro Zanuttigh (ECCV (8), 2020)

Unsupervised Domain Adaptation with Multiple Domain Discriminators and Adaptive Self-Training. - Teo Spadotto; Marco Toldo; Umberto Michieli; Pietro Zanuttigh (ICPR, 2020)

Unsupervised Domain Adaptation in Semantic Segmentation: a Review. - Marco Toldo; Andrea Maracani; Umberto Michieli; Pietro Zanuttigh (CoRR, 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)

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation. - Umberto Michieli; Matteo Biasetton; Gianluca Agresti; Pietro Zanuttigh (IEEE Trans. Intell. Veh., 2020)

Latent Space Regularization for Unsupervised Domain Adaptation in Semantic Segmentation. - Francesco Barbato; Marco Toldo; Umberto Michieli; Pietro Zanuttigh (CVPR Workshops, 2021)

Are All Users Treated Fairly in Federated Learning Systems? - Umberto Michieli; Mete Ozay (CVPR Workshops, 2021)

Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations. - Umberto Michieli; Pietro Zanuttigh (CVPR, 2021)

RECALL: Replay-based Continual Learning in Semantic Segmentation. - Andrea Maracani; Umberto Michieli; Marco Toldo; Pietro Zanuttigh (ICCV, 2021)

Unsupervised Domain Adaptation in Semantic Segmentation via Orthogonal and Clustered Embeddings. - Marco Toldo; Umberto Michieli; Pietro Zanuttigh (WACV, 2021)

Prototype Guided Federated Learning of Visual Feature Representations. - Umberto Michieli; Mete Ozay (CoRR, 2021)

Adapting Segmentation Networks to New Domains by Disentangling Latent Representations. - Francesco Barbato; Umberto Michieli; Marco Toldo; Pietro Zanuttigh (CoRR, 2021)

Knowledge distillation for incremental learning in semantic segmentation. - Umberto Michieli; Pietro Zanuttigh (Comput. Vis. Image Underst., 2021)

Edge-Aware Graph Matching Network for Part-Based Semantic Segmentation. - Umberto Michieli; Pietro Zanuttigh (Int. J. Comput. Vis., 2022)

Continual coarse-to-fine domain adaptation in semantic segmentation. - Donald Shenaj; Francesco Barbato; Umberto Michieli; Pietro Zanuttigh (Image Vis. Comput., 2022)

Data-Free Model Pruning at Initialization via Expanders. - James Stewart; Umberto Michieli; Mete Ozay (CVPR Workshops, 2023)

Fully Automated Scan-to-BIM Via Point Cloud Instance Segmentation. - D. Campagnolo; Elena Camuffo; Umberto Michieli; Paolo Borin; Simone Milani; Andrea Giordano (ICIP, 2023)

A Model for Every User and Budget: Label-Free and Personalized Mixed-Precision Quantization. - Edward Fish; Umberto Michieli; Mete Ozay (INTERSPEECH, 2023)

Online Continual Learning in Keyword Spotting for Low-Resource Devices via Pooling High-Order Temporal Statistics. - Umberto Michieli; Pablo Peso Parada; Mete Ozay (INTERSPEECH, 2023)

Online Continual Learning for Robust Indoor Object Recognition. - Umberto Michieli; Mete Ozay (IROS, 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 (WACV, 2023)

Learning from Mistakes: Self-Regularizing Hierarchical Semantic Representations in Point Cloud Segmentation. - Elena Camuffo; Umberto Michieli; Simone Milani (CoRR, 2023)

RECALL+: Adversarial Web-based Replay for Continual Learning in Semantic Segmentation. - Chang Liu 047; Giulia Rizzoli; Francesco Barbato; Umberto Michieli; Yi Niu; Pietro Zanuttigh (CoRR, 2023)

SELMA: SEmantic Large-Scale Multimodal Acquisitions in Variable Weather, Daytime and Viewpoints. - Paolo Testolina; Francesco Barbato; Umberto Michieli; Marco Giordani; Pietro Zanuttigh; Michele Zorzi (IEEE Trans. Intell. Transp. Syst., 2023)

Federated Learning via Attentive Margin of Semantic Feature Representations. - Umberto Michieli; Marco Toldo; Mete Ozay (IEEE Internet Things J., 2023)

HOP to the Next Tasks and Domains for Continual Learning in NLP. - Umberto Michieli; Mete Ozay (AAAI, 2024)

Model Merging and Safety Alignment: One Bad Model Spoils the Bunch. - Hasan Hammoud; Umberto Michieli; Fabio Pizzati; Philip Torr 001; Adel Bibi; Bernard Ghanem; Mete Ozay (EMNLP (Findings), 2024)

Deep Neural Network Models Trained with a Fixed Random Classifier Transfer Better Across Domains. - Hafiz Tiomoko Ali; Umberto Michieli; Ji Joong Moon; Daehyun Kim; Mete Ozay (ICASSP, 2024)

FFT-Based Selection and Optimization of Statistics for Robust Recognition of Severely Corrupted Images. - Elena Camuffo; Umberto Michieli; Jijoong Moon; Daehyun Kim; Mete Ozay (ICASSP, 2024)

Object-Conditioned Bag of Instances for Few-Shot Personalized Instance Recognition. - Umberto Michieli; Jijoong Moon; Daehyun Kim; Mete Ozay (ICASSP, 2024)

Cross-Architecture Auxiliary Feature Space Translation for Efficient Few-Shot Personalized Object Detection. - Francesco Barbato; Umberto Michieli; Jijoong Moon; Pietro Zanuttigh; Mete Ozay (IROS, 2024)

Enhanced Model Robustness to Input Corruptions by Per-corruption Adaptation of Normalization Statistics. - Elena Camuffo; Umberto Michieli; Simone Milani; Jijoong Moon; Mete Ozay (IROS, 2024)

Swiss DINO: Efficient and Versatile Vision Framework for On-device Personal Object Search. - Kirill Paramonov; Jia-Xing Zhong; Umberto Michieli; Jijoong Moon; Mete Ozay (IROS, 2024)

A Modular System for Enhanced Robustness of Multimedia Understanding Networks via Deep Parametric Estimation. - Francesco Barbato; Umberto Michieli; Mehmet Kerim Yucel; Pietro Zanuttigh; Mete Ozay (MMSys, 2024)

Randomized Asymmetric Chain of LoRA: The First Meaningful Theoretical Framework for Low-Rank Adaptation. - Grigory Malinovsky; Umberto Michieli; Hasan Abed Al Kader Hammoud; Taha Ceritli; Hayder Elesedy; Mete Ozay; Peter Richtárik (CoRR, 2024)

LoRA.rar: Learning to Merge LoRAs via Hypernetworks for Subject-Style Conditioned Image Generation. - Donald Shenaj; Ondrej Bohdal; Mete Ozay; Pietro Zanuttigh; Umberto Michieli (CoRR, 2024)

Road scenes segmentation across different domains by disentangling latent representations. - Francesco Barbato; Umberto Michieli; Marco Toldo; Pietro Zanuttigh (Vis. Comput., 2024)

Learning With Style: Continual Semantic Segmentation Across Tasks and Domains. - Marco Toldo; Umberto Michieli; Pietro Zanuttigh (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

DreamCache: Finetuning-Free Lightweight Personalized Image Generation via Feature Caching. - Emanuele Aiello; Umberto Michieli; Diego Valsesia; Mete Ozay; Enrico Magli (CVPR, 2025)

Controllable Forgetting Mechanism for Few-Shot Class-Incremental Learning. - Kirill Paramonov; Mete Ozay; Eunju Yang; Jijoong Moon; Umberto Michieli (ICASSP, 2025)

Continual Error Correction on Low-Resource Devices. - Kirill Paramonov; Mete Ozay; Aristeidis Mystakidis; Nikolaos Tsalikidis; Dimitrios Sotos; Anastasios Drosou; Dimitrios Tzovaras; Hyunjun Kim; Kiseok Chang; Sangdok Mo; Namwoong Kim; Woojong Yoo; et al. (MMSys, 2025)

Learning From Mistakes: Self-Regularizing Hierarchical Representations in Point Cloud Semantic Segmentation. - Elena Camuffo; Umberto Michieli; Simone Milani (IEEE Trans. Multim., 2025)

Brain-inspired sparse training enables Transformers and LLMs to perform as fully connected. - Yingtao Zhang; Jialin Zhao 004; Wenjing Wu; Ziheng Liao; Umberto Michieli; Carlo Vittorio Cannistraci (CoRR, 2025)

Efficient Compositional Multi-tasking for On-device Large Language Models. - Ondrej Bohdal; Mete Ozay; Jijoong Moon; Kyeng-Hun Lee; Hyeonmok Ko; Umberto Michieli (CoRR, 2025)

HydraOpt: Navigating the Efficiency-Performance Trade-off of Adapter Merging. - Taha Ceritli; Ondrej Bohdal; Mete Ozay; Jijoong Moon; Kyeng-Hun Lee; Hyeonmok Ko; Umberto Michieli (CoRR, 2025)

FedPromo: Federated Lightweight Proxy Models at the Edge Bring New Domains to Foundation Models. - Matteo Caligiuri; Francesco Barbato; Donald Shenaj; Umberto Michieli; Pietro Zanuttigh (CoRR, 2025)