Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Iodice, Sara"'
Publikováno v:
ICDP 2019
Person re-identification (re-ID) is a very active area of research in computer vision, due to the role it plays in video surveillance. Currently, most methods only address the task of matching between colour images. However, in poorly-lit environment
Externí odkaz:
http://arxiv.org/abs/2003.04191
Autor:
Iodice, Sara, Mikolajczyk, Krystian
Inspired by the effectiveness of adversarial training in the area of Generative Adversarial Networks we present a new approach for learning feature representations in person re-identification. We investigate different types of bias that typically occ
Externí odkaz:
http://arxiv.org/abs/1904.00244
Autor:
Iodice, Sara, Mikolajczyk, Krystian
Partial person re-identification involves matching pedestrian frames where only a part of a body is visible in corresponding images. This reflects practical CCTV surveillance scenario, where full person views are often not available. Missing body par
Externí odkaz:
http://arxiv.org/abs/1807.09162
Autor:
Iodice, Sara, Petrosino, Alfredo
Publikováno v:
In Pattern Recognition April 2015 48(4):1074-1085
Autor:
Iodice, Sara
In the last years, the ever-increasing need for public security has attracted wide attention in person re-ID. State-of-the-art techniques have achieved impressive results on academic datasets, which are nearly saturated. However, when it comes to dep
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb06a5e72c73e4e131ffb43cd8d9c33a
Publikováno v:
2013 IEEE Conference on Computer Vision & Pattern Recognition Workshops; 2013, p217-222, 6p
Autor:
Iodice, Sara, Petrosino, Alfredo
Publikováno v:
Pattern Recognition (9783642389887); 2013, p155-164, 10p
Autor:
Lardone, Anna, Turriziani, Patrizia, Sorrentino, Pierpaolo, Gigliotta, Onofrio, Chirico, Andrea, Lucidi, Fabio, Mandolesi, Laura
Publikováno v:
Frontiers in Psychology; 4/9/2021, Vol. 11, pN.PAG-N.PAG, 11p
Publikováno v:
2013 IEEE Conference on Computer Vision & Pattern Recognition Workshops; 2013, p1055-1061, 7p