{"id":9,"date":"2020-11-26T21:52:03","date_gmt":"2020-11-26T20:52:03","guid":{"rendered":"https:\/\/vandalto.wordpress.com\/?page_id=9"},"modified":"2021-01-28T19:13:06","modified_gmt":"2021-01-28T19:13:06","slug":"research","status":"publish","type":"page","link":"https:\/\/vandal.polito.it\/index.php\/research\/","title":{"rendered":"Research"},"content":{"rendered":"\t\t
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Action Recognition<\/a><\/span> Autonomous driving<\/a><\/span> Challenge<\/a><\/span> Computer Science – Computer Vision and Pattern Recognition<\/a><\/span> Cross-domain<\/a><\/span> CVF Winter Conference on Applications of Computer Vision<\/a><\/span> Domain adaptation<\/a><\/span> Domain generalization<\/a><\/span> Domain randomization<\/a><\/span> European Conference on Computer Vision<\/a><\/span> Feature extraction<\/a><\/span> Federated Learning<\/a><\/span> First Person Action Recognition<\/a><\/span> FOS: Computer and information sciences<\/a><\/span> Geolocalization<\/a><\/span> IEEE Robotics and Automation Letters<\/a><\/span> Image Analysis and Processing<\/a><\/span> Incremental learning<\/a><\/span> International Association for Pattern Recognition<\/a><\/span> International Conference on Computer Vision<\/a><\/span> Object recognition<\/a><\/span> obstacle avoidance<\/a><\/span> Reinforcement learning<\/a><\/span> RGB-D perception<\/a><\/span> Robot learning<\/a><\/span> Robotics<\/a><\/span> Semantic segmentation<\/a><\/span> Task analysis<\/a><\/span> Transformers<\/a><\/span> Visual Place recognition<\/a><\/span> <\/div>
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74 entries<\/span> «<\/a> ‹<\/a> 1 of 2 ›<\/a> »<\/a> <\/div><\/div>

2023<\/h3>

Shenaj, Donald; Fan`i, Eros; Toldo, Marco; Caldarola, Debora; Tavera, Antonio; Michieli, Umberto; Ciccone, Marco; Zanuttigh, Pietro; Caputo, Barbara<\/p>

Learning across domains and devices: Style-driven source-free domain adaptation in clustered federated learning Proceedings Article<\/span> <\/p>

In: <\/span>Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision, <\/span>pp. 444\u2013454, <\/span>2023<\/span>.<\/p>

BibTeX<\/a><\/span> | Tags: <\/span>Autonomous driving<\/a>, CVF Winter Conference on Applications of Computer Vision<\/a>, Federated Learning<\/a><\/p>

@inproceedings{shenaj2023learning,
\r\ntitle = {Learning across domains and devices: Style-driven source-free domain adaptation in clustered federated learning},
\r\nauthor = {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},
\r\nyear  = {2023},
\r\ndate = {2023-01-01},
\r\nurldate = {2023-01-01},
\r\nbooktitle = {Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision},
\r\npages = {444--454},
\r\nkeywords = {Autonomous driving, CVF Winter Conference on Applications of Computer Vision, Federated Learning},
\r\npubstate = {published},
\r\ntppubtype = {inproceedings}
\r\n}
\r\n<\/pre><\/div>
Close<\/a><\/p><\/div><\/div><\/div>
 Caldarola, Debora;  Caputo, Barbara;  Ciccone, Marco<\/p>
Window-based Model Averaging Improves Generalization in Heterogeneous Federated Learning Proceedings Article<\/span> <\/p>
In: <\/span>International Conference on Computer Vision Workshop, <\/span>IEEE\/CVF <\/span>2023<\/span>.<\/p>
BibTeX<\/a><\/span> | Tags: <\/span>Federated Learning<\/a><\/p>
@inproceedings{caldarola2022improvingb,
\r\ntitle = {Window-based Model Averaging Improves Generalization in Heterogeneous Federated Learning},
\r\nauthor = {Debora Caldarola and Barbara Caputo and Marco Ciccone},
\r\nyear  = {2023},
\r\ndate = {2023-01-01},
\r\nurldate = {2023-01-01},
\r\nbooktitle = {International Conference on Computer Vision Workshop},
\r\norganization = {IEEE\/CVF},
\r\nkeywords = {Federated Learning},
\r\npubstate = {published},
\r\ntppubtype = {inproceedings}
\r\n}
\r\n<\/pre><\/div>
Close<\/a><\/p><\/div><\/div><\/div>
 Berton, Gabriele;  Trivigno, Gabriele;  Masone, Carlo;  Caputo, Barbara<\/p>
Are Local Features All You Need for Cross-Domain Visual Place Recognition? Proceedings Article<\/span> <\/p>
In: <\/span>Proceedings of the IEEE\/CVF International Conference on Computer Vision (ICCV), <\/span>2023<\/span>.<\/p>
BibTeX<\/a><\/span> | Tags: <\/span>Geolocalization<\/a>, International Conference on Computer Vision<\/a>, Visual Place recognition<\/a><\/p>
@inproceedings{Berton_2023_ICCV,
\r\ntitle = {Are Local Features All You Need for Cross-Domain Visual Place Recognition?},
\r\nauthor = {Gabriele Berton and Gabriele Trivigno and Carlo Masone and Barbara Caputo},
\r\nyear  = {2023},
\r\ndate = {2023-01-01},
\r\nurldate = {2023-01-01},
\r\nbooktitle = {Proceedings of the IEEE\/CVF International Conference on Computer Vision (ICCV)},
\r\nkeywords = {Geolocalization, International Conference on Computer Vision, Visual Place recognition},
\r\npubstate = {published},
\r\ntppubtype = {inproceedings}
\r\n}
\r\n<\/pre><\/div>
Close<\/a><\/p><\/div><\/div><\/div>
 Trivigno, Gabriele;  Berton, Gabriele;  Masone, Carlo;  Aragon, Juan;  Caputo, Barbara<\/p>
Rethinking Visual Geo-localization for Large-Scale Applications Proceedings Article<\/span> <\/p>
In: <\/span>Proceedings of the IEEE\/CVF International Conference on Computer Vision (ICCV), <\/span>2023<\/span>.<\/p>
BibTeX<\/a><\/span> | Tags: <\/span>Geolocalization<\/a>, International Conference on Computer Vision<\/a>, Visual Place recognition<\/a><\/p>
@inproceedings{Trivigno_2023_ICCV,
\r\ntitle = {Rethinking Visual Geo-localization for Large-Scale Applications},
\r\nauthor = {Gabriele Trivigno and Gabriele Berton and Carlo Masone and Juan Aragon and Barbara Caputo},
\r\nyear  = {2023},
\r\ndate = {2023-01-01},
\r\nurldate = {2023-01-01},
\r\nbooktitle = {Proceedings of the IEEE\/CVF International Conference on Computer Vision (ICCV)},
\r\nkeywords = {Geolocalization, International Conference on Computer Vision, Visual Place recognition},
\r\npubstate = {published},
\r\ntppubtype = {inproceedings}
\r\n}
\r\n<\/pre><\/div>
Close<\/a><\/p><\/div><\/div><\/div>
 Barbarani, Giovanni;  Mostafa, Mohamad;  Bayramov, Hajali;  Trivigno, Gabriele;  Berton, Gabriele;  Masone, Carlo;  Caputo, Barbara<\/p>
Are Local Features All You Need for Cross-Domain Visual Place Recognition? Proceedings Article<\/span> <\/p>
In: <\/span>Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, <\/span>2023<\/span>.<\/p>
BibTeX<\/a><\/span> | Tags: <\/span>Visual Place recognition<\/a><\/p>
@inproceedings{Barbarani_2023_CVPR,
\r\ntitle = {Are Local Features All You Need for Cross-Domain Visual Place Recognition?},
\r\nauthor = {Giovanni Barbarani and Mohamad Mostafa and Hajali Bayramov and Gabriele Trivigno and Gabriele Berton and Carlo Masone and Barbara Caputo},
\r\nyear  = {2023},
\r\ndate = {2023-01-01},
\r\nurldate = {2023-01-01},
\r\nbooktitle = {Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
\r\nkeywords = {Visual Place recognition},
\r\npubstate = {published},
\r\ntppubtype = {inproceedings}
\r\n}
\r\n<\/pre><\/div>
Close<\/a><\/p><\/div><\/div><\/div>
 Tiboni, Gabriele;  Arndt, Karol;  Kyrki, Ville<\/p>
DROPO: Sim-to-real transfer with offline domain randomization<\/a> Journal Article<\/span> <\/p>
In: <\/span>Robotics and Autonomous Systems, <\/span>pp. 104432, <\/span>2023<\/span>, ISSN: 0921-8890<\/span>.<\/p>
Links<\/a><\/span> | BibTeX<\/a><\/span> | Tags: <\/span>Domain randomization<\/a>, Reinforcement learning<\/a>, Robot learning<\/a>, sim-to-real<\/a>, Transfer learning<\/a><\/p>
@article{tiboni2023dropo,
\r\ntitle = {DROPO: Sim-to-real transfer with offline domain randomization},
\r\nauthor = {Gabriele Tiboni and Karol Arndt and Ville Kyrki},
\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0921889023000714},
\r\ndoi = {https:\/\/doi.org\/10.1016\/j.robot.2023.104432},
\r\nissn = {0921-8890},
\r\nyear  = {2023},
\r\ndate = {2023-01-01},
\r\nurldate = {2023-01-01},
\r\njournal = {Robotics and Autonomous Systems},
\r\npages = {104432},
\r\nkeywords = {Domain randomization, Reinforcement learning, Robot learning, sim-to-real, Transfer learning},
\r\npubstate = {published},
\r\ntppubtype = {article}
\r\n}
\r\n<\/pre><\/div>
Close<\/a><\/p><\/div>