Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Lorenzo Berlincioni"'
Publikováno v:
ACM Multimedia
In this paper we propose a novel data augmentation approach for visual content domains that have scarce training datasets, compositing synthetic 3D objects within real scenes. We show the performance of the proposed system in the context of object de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb9668bcc7ad9bb724d7bc12009f5243
http://arxiv.org/abs/2106.13603
http://arxiv.org/abs/2106.13603
Autor:
Marco Bertini, Leonardo Galteri, Lorenzo Berlincioni, Alberto Del Bimbo, Andrew D. Bagdanov, My Kieu
Publikováno v:
ICPR
In this paper we propose a method for improving pedestrian detection in the thermal domain using two stages: first, a generative data augmentation approach is used, then a domain adaptation method using generated data adapts an RGB pedestrian detecto
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24b4eee6706e0e45149f687d5474da03
http://arxiv.org/abs/2102.02005
http://arxiv.org/abs/2102.02005
Publikováno v:
ICPR
In this paper, we propose an automatic approach for localizing the inner eye canthus in thermal face images. We first coarsely detect 5 facial keypoints corresponding to the center of the eyes, the nosetip and the ears. Then we compute a sparse 2D-3D
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cce477d38728477fec344865c01965b6
https://doi.org/10.1109/icpr48806.2021.9412015
https://doi.org/10.1109/icpr48806.2021.9412015
Publikováno v:
2020 25th International Conference on Pattern Recognition (ICPR)
ICPR
ICPR
Trajectory prediction is an important task, especially in autonomous driving. The ability to forecast the position of other moving agents can yield to an effective planning, ensuring safety for the autonomous vehicle as well for the observed entities
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54193d86499528a9ac34cf8dd48d7649
http://arxiv.org/abs/2010.08948
http://arxiv.org/abs/2010.08948
Autor:
Leonardo Galteri, Alberto Del Bimbo, Lorenzo Berlincioni, Lorenzo Seidenari, Federico Becattini
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030306410
ICIAP (1)
ICIAP (1)
One of the most complex aspects of autonomous driving concerns understanding the surrounding environment. In particular, the interest falls on detecting which agents are populating it and how they are moving. The capacity to predict how these may act
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37069df90ac22130f7c5a52311d1aa43
https://hdl.handle.net/11365/1224536
https://hdl.handle.net/11365/1224536
Autor:
Alberto Del Bimbo, Lorenzo Seidenari, Federico Becattini, Lorenzo Berlincioni, Leonardo Galteri
Publikováno v:
Inpainting and Denoising Challenges ISBN: 9783030256135
Autonomous driving is becoming a reality, yet vehicles still need to rely on complex sensor fusion to understand the scene they act in. The ability to discern static environment and dynamic entities provides a comprehension of the road layout that po
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c746aa1f288b1b4219af4040519dd684
http://hdl.handle.net/2158/1195600
http://hdl.handle.net/2158/1195600
Autor:
'Lorenzo Berlincioni
Publikováno v:
Federico Becattini
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=r3c4b2081b22::ae6b67b86fbf649ddad07f75be863296
Autor:
Alberto Del Bimbo, FEDERICO BECATTINI, Leonardo Galteri, Lorenzo Berlincioni, Lorenzo Seidenari
Publikováno v:
Web of Science
Autonomous driving is becoming a reality, yet vehicles still need to rely on complex sensor fusion to understand the scene they act in. The ability to discern static environment and dynamic entities provides a comprehension of the road layout that po
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46db151190560f0fb4bc929295520006
https://publons.com/wos-op/publon/55679845/
https://publons.com/wos-op/publon/55679845/