Research

@inproceedings{shenaj2023learning,

title = {Learning across domains and devices: Style-driven source-free domain adaptation in clustered federated learning},

author = {Donald Shenaj and Eros Fan`i and Marco Toldo and Debora Caldarola and Antonio Tavera and Umberto Michieli and Marco Ciccone and Pietro Zanuttigh and Barbara Caputo},

year  = {2023},

date = {2023-01-01},

urldate = {2023-01-01},

booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision},

pages = {444--454},

keywords = {Autonomous driving, CVF Winter Conference on Applications of Computer Vision, Federated Learning},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{caldarola2022improvingb,

title = {Window-based Model Averaging Improves Generalization in Heterogeneous Federated Learning},

author = {Debora Caldarola and Barbara Caputo and Marco Ciccone},

year  = {2023},

date = {2023-01-01},

urldate = {2023-01-01},

booktitle = {International Conference on Computer Vision Workshop},

organization = {IEEE/CVF},

keywords = {Federated Learning},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Berton_2023_ICCV,

title = {Are Local Features All You Need for Cross-Domain Visual Place Recognition?},

author = {Gabriele Berton and Gabriele Trivigno and Carlo Masone and Barbara Caputo},

year  = {2023},

date = {2023-01-01},

urldate = {2023-01-01},

booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},

keywords = {Geolocalization, International Conference on Computer Vision, Visual Place recognition},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Trivigno_2023_ICCV,

title = {Rethinking Visual Geo-localization for Large-Scale Applications},

author = {Gabriele Trivigno and Gabriele Berton and Carlo Masone and Juan Aragon and Barbara Caputo},

year  = {2023},

date = {2023-01-01},

urldate = {2023-01-01},

booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},

keywords = {Geolocalization, International Conference on Computer Vision, Visual Place recognition},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Barbarani_2023_CVPR,

title = {Are Local Features All You Need for Cross-Domain Visual Place Recognition?},

author = {Giovanni Barbarani and Mohamad Mostafa and Hajali Bayramov and Gabriele Trivigno and Gabriele Berton and Carlo Masone and Barbara Caputo},

year  = {2023},

date = {2023-01-01},

urldate = {2023-01-01},

booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},

keywords = {Visual Place recognition},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{tiboniadrbenchmark,

title = {Online vs. Offline Adaptive Domain Randomization Benchmark},

author = {Gabriele Tiboni and Karol Arndt and Giuseppe Averta and Ville Kyrki and Tatiana Tommasi},

editor = {Pablo Borja and Cosimo Della Santina and Luka Peternel and Elena Torta},

isbn = {978-3-031-22731-8},

year  = {2023},

date = {2023-01-01},

urldate = {2023-01-01},

booktitle = {Human-Friendly Robotics 2022},

pages = {158–173},

publisher = {Springer International Publishing},

address = {Cham},

keywords = {Domain randomization},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{noauthor_temporl_2023,

title = {TempoRL: laser pulse temporal shape optimization with Deep Reinforcement Learning},

year  = {2023},

date = {2023-01-01},

booktitle = {High-power, High-energy Lasers and Ultrafast Optical Technologies},

volume = {12577},

pages = {62–74},

publisher = {SPIE},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Tavera_2022_CVPR,

title = {Augmentation Invariance and Adaptive Sampling in Semantic Segmentation of Agricultural Aerial Images},

author = {Antonio Tavera and Edoardo Arnaudo and Carlo Masone and Barbara Caputo},

year  = {2022},

date = {2022-06-01},

booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},

pages = {1656-1665},

keywords = {Agriculture, Computer Science - Computer Vision and Pattern Recognition, Semantic segmentation},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Cermelli_2022_CVPR,

title = {Incremental Learning in Semantic Segmentation From Image Labels},

author = {Fabio Cermelli and Dario Fontanel and Antonio Tavera and Marco Ciccone and Barbara Caputo},

year  = {2022},

date = {2022-06-01},

booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},

pages = {4371-4381},

keywords = {Computer Science - Computer Vision and Pattern Recognition, Incremental learning, Semantic segmentation},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{zaccone2022speeding,

title = {Speeding up Heterogeneous Federated Learning with Sequentially Trained Superclients},

author = {Riccardo Zaccone and Andrea Rizzardi and Debora Caldarola and Marco Ciccone and Barbara Caputo},

year  = {2022},

date = {2022-01-01},

booktitle = {International Conference on Pattern Recognition},

journal = {International Conference on Pattern Recognition},

keywords = {Federated Learning},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{10.1007/978-3-031-06430-2_38,

title = {Learning Semantics for Visual Place Recognition Through Multi-scale Attention},

author = {Valerio Paolicelli and Antonio Tavera and Carlo Masone and Gabriele Berton and Barbara Caputo},

editor = {Stan Sclaroff and Cosimo Distante and Marco Leo and Giovanni M Farinella and Federico Tombari},

isbn = {978-3-031-06430-2},

year  = {2022},

date = {2022-01-01},

booktitle = {Image Analysis and Processing -- ICIAP 2022},

pages = {454--466},

publisher = {Springer International Publishing},

address = {Cham},

keywords = {Image Analysis and Processing, Visual Place recognition},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{10.1007/978-3-031-06430-2_62,

title = {A Contrastive Distillation Approach for Incremental Semantic Segmentation in Aerial Images},

author = {Edoardo Arnaudo and Fabio Cermelli and Antonio Tavera and Claudio Rossi and Barbara Caputo},

editor = {Stan Sclaroff and Cosimo Distante and Marco Leo and Giovanni M Farinella and Federico Tombari},

isbn = {978-3-031-06430-2},

year  = {2022},

date = {2022-01-01},

booktitle = {Image Analysis and Processing -- ICIAP 2022},

pages = {742--754},

publisher = {Springer International Publishing},

address = {Cham},

keywords = {Image Analysis and Processing, Incremental learning, Semantic segmentation},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{caldarola2022improving,

title = {Improving generalization in federated learning by seeking flat minima},

author = {Debora Caldarola and Barbara Caputo and Marco Ciccone},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

booktitle = {European Conference on Computer Vision},

pages = {654--672},

organization = {Springer},

keywords = {European Conference on Computer Vision, Federated Learning},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Berton_2022_cosPlace,

title = {Rethinking Visual Geo-localization for Large-Scale Applications},

author = {Gabriele Berton and Carlo Masone and Barbara Caputo},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},

keywords = {Computer Science - Computer Vision and Pattern Recognition, Geolocalization, Visual Place recognition},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Berton_2022_benchmark,

title = {Deep Visual Geo-localization Benchmark},

author = {Gabriele Berton and Riccardo Mereu and Gabriele Trivigno and Carlo Masone and Gabriela Csurka and Torsten Sattler and Barbara Caputo},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},

keywords = {Computer Science - Computer Vision and Pattern Recognition, Geolocalization, Visual Place recognition},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{fantauzzo2022feddrive,

title = {FedDrive: Generalizing federated learning to semantic segmentation in autonomous driving},

author = {Lidia Fantauzzo and Eros Fan`ı and Debora Caldarola and Antonio Tavera and Fabio Cermelli and Marco Ciccone and Barbara Caputo},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

booktitle = {2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},

pages = {11504–11511},

organization = {IEEE},

keywords = {Autonomous driving, Federated Learning, Semantic segmentation},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{maiettini_handheld_2022,

title = {From Handheld to Unconstrained Object Detection: A Weakly-Supervised On-Line Learning Approach},

author = {Elisa Maiettini and Andrea Maracani and Raffaello Camoriano and Giulia Pasquale and Vadim Tikhanoff and Lorenzo Rosasco and Lorenzo Natale},

year  = {2022},

date = {2022-01-01},

booktitle = {31st IEEE International Conference on Robot & Human Interactive Communication (RO-MAN)},

publisher = {IEEE},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{caldarola2021cluster,

title = {Cluster-driven Graph Federated Learning over Multiple Domains},

author = {Debora Caldarola and Massimiliano Mancini and Fabio Galasso and Marco Ciccone and Emanuele Rodolà and Barbara Caputo},

year  = {2021},

date = {2021-01-01},

booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},

pages = {2749--2758},

keywords = {Computer Science - Computer Vision and Pattern Recognition, Federated Learning},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{cannici2021n,

title = {N-ROD: A Neuromorphic Dataset for Synthetic-to-Real Domain Adaptation},

author = {Marco Cannici and Chiara Plizzari and Mirco Planamente and Marco Ciccone and Andrea Bottino and Barbara Caputo and Matteo Matteucci},

year  = {2021},

date = {2021-01-01},

booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},

pages = {1342--1347},

keywords = {Domain adaptation},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{bucci2021distance,

title = {Distance-based Hyperspherical Classification for Multi-source Open-Set Domain Adaptation},

author = {Silvia Bucci and Francesco Cappio Borlino and Barbara Caputo and Tatiana Tommasi},

year  = {2021},

date = {2021-01-01},

journal = {Winter Conference on Applications of Computer Vision},

keywords = {Domain adaptation, Open-set},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{fontanel2021detecting,

title = {Detecting Anomalies in Semantic Segmentation with Prototypes},

author = {Dario Fontanel and Fabio Cermelli and Massimiliano Mancini and Barbara Caputo},

year  = {2021},

date = {2021-01-01},

booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},

pages = {113--121},

keywords = {Anomaly detection, Computer Science - Computer Vision and Pattern Recognition, Semantic segmentation},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{berton2021adaptive,

title = {Adaptive-Attentive Geolocalization from few queries: a hybrid approach},

author = {Gabriele Moreno Berton and Valerio Paolicelli and Carlo Masone and Barbara Caputo},

year  = {2021},

date = {2021-01-01},

booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision},

pages = {2918--2927},

keywords = {CVF Winter Conference on Applications of Computer Vision, Geolocalization},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{berton2021viewpoint,

title = {Viewpoint Invariant Dense Matching for Visual Geolocalization},

author = {Gabriele Berton and Carlo Masone and Valerio Paolicelli and Barbara Caputo},

year  = {2021},

date = {2021-01-01},

booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision},

pages = {12169--12178},

keywords = {Geolocalization, International Conference on Computer Vision},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{ferreri2021multi,

title = {Multi-Modal RGB-D Scene Recognition Across Domains},

author = {Andrea Ferreri and Silvia Bucci and Tatiana Tommasi},

year  = {2021},

date = {2021-01-01},

booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision},

pages = {2199--2208},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{pastore2021closer,

title = {A Closer Look at Self-training for Zero-Label Semantic Segmentation},

author = {Giuseppe Pastore and Fabio Cermelli and Yongqin Xian and Massimiliano Mancini and Zeynep Akata and Barbara Caputo},

year  = {2021},

date = {2021-01-01},

booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},

pages = {2693--2702},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Berton_2021_svox,

title = {Adaptive-Attentive Geolocalization From Few Queries: A Hybrid Approach},

author = {Gabriele Berton and Valerio Paolicelli and Carlo Masone and Barbara Caputo},

year  = {2021},

date = {2021-01-01},

urldate = {2021-01-01},

booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},

keywords = {CVF Winter Conference on Applications of Computer Vision, Geolocalization},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{cermelli2020modeling,

title = {Modeling the Background for Incremental Learning in Semantic Segmentation},

author = {Fabio Cermelli and Massimiliano Mancini and Samuel Rota Bulò and Elisa Ricci and Barbara Caputo},

year  = {2020},

date = {2020-06-01},

booktitle = {Computer Vision and Pattern Recognition (CVPR)},

keywords = {Computer Science - Computer Vision and Pattern Recognition, Incremental learning, Semantic segmentation},

pubstate = {published},

tppubtype = {inproceedings}

}