MICHIELI, UMBERTO

MICHIELI, UMBERTO  

Dipartimento di Ingegneria dell'Informazione - DEI  

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Titolo Data di pubblicazione Autori Rivista Serie Titolo libro
A coherence study on EEG and EMG signals 2016 Cisotto GiuliaMichieli UmbertoBadia Leonardo - - Proceedings of the IEEE Global Wireless Summit 2016
Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation 2020 Michieli U.Agresti G.Zanuttigh P. + IEEE TRANSACTIONS ON INTELLIGENT VEHICLES - -
Are All Users Treated Fairly in Federated Learning Systems? 2021 Michieli Umberto + - - Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
Continual coarse-to-fine domain adaptation in semantic segmentation 2022 Shenaj, DonaldBarbato, FrancescoMichieli, UmbertoZanuttigh, Pietro IMAGE AND VISION COMPUTING - -
Continual semantic segmentation via repulsion-attraction of sparse and disentangled latent representations 2021 Michieli UmbertoZanuttigh Pietro - - Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
Domain adaptation and continual learning in semantic segmentation 2021 Umberto MichieliMarco ToldoPietro Zanuttigh - - Advanced Methods and Deep Learning in Computer Vision
Edge-Aware Graph Matching Network for Part-Based Semantic Segmentation 2022 Michieli, UZanuttigh, P INTERNATIONAL JOURNAL OF COMPUTER VISION - -
Game Theoretic Analysis of Road User Safety Scenarios Involving Autonomous Vehicles 2018 MICHIELI, UMBERTOBadia, L - - 2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)
GMNet: Graph Matching Network for Large Scale Part Semantic Segmentation in the Wild 2020 Michieli U.Zanuttigh P. + - LECTURE NOTES IN ARTIFICIAL INTELLIGENCE Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Incremental and Multi-Task Learning Strategies for Coarse-To-Fine Semantic Segmentation 2020 Mel, MazenMichieli, UmbertoZanuttigh, Pietro TECHNOLOGIES - -
Incremental Learning Techniques for Semantic Segmentation 2019 Michieli U.Zanuttigh P. - - Proceedings of the International Conference on Computer Vision (ICCV), Workshop on Transferring and Adapting Source Knowledge in Computer Vision (TASK-CV)
Knowledge distillation for incremental learning in semantic segmentation 2021 Michieli U.Zanuttigh P. COMPUTER VISION AND IMAGE UNDERSTANDING - -
Latent Space Regularization for Unsupervised Domain Adaptation in Semantic Segmentation 2021 Francesco BarbatoMarco ToldoUmberto MichieliPietro Zanuttigh - IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS Proceedings of the CVPR Workshop on Autonomous Driving (WAD)
Learning with Style: Continual Semantic Segmentation Across Tasks and Domains 2024 Umberto MichieliPietro Zanuttigh + IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE - -
RECALL: Replay-based Continual Learning in Semantic Segmentation 2021 Michieli UmbertoToldo MarcoZanuttigh Pietro + - PROCEEDINGS IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION Proceedings of the IEEE/CVF International Conference on Computer Vision
Region Merging Driven by Deep Learning for RGB-D Segmentation and Labeling 2019 Michieli U.AGIOLLO, ANDREAPagnutti G.Zanuttigh P. + - - Proceedings of the International Conference on Distributed Smart Cameras (ICDSC)
SELMA: SEmantic Large-Scale Multimodal Acquisitions in Variable Weather, Daytime and Viewpoints 2023 Barbato F.Michieli U.Giordani M.Zanuttigh P.Zorzi M. + IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS - -
Unsupervised domain adaptation for mobile semantic segmentation based on cycle consistency and feature alignment 2020 Toldo M.Michieli U.Agresti G.Zanuttigh P. IMAGE AND VISION COMPUTING - -
Unsupervised Domain Adaptation for Semantic Segmentation of Urban Scenes 2019 Michieli UmbertoAgresti GianlucaZanuttigh Pietro + - - The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops
Unsupervised domain adaptation in semantic segmentation via orthogonal and clustered embeddings 2021 Toldo MarcoMichieli UmbertoZanuttigh Pietro - - Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision