Zobrazeno 1 - 10
of 162
pro vyhledávání: '"Bianchi, Tiziano"'
Deep learning methods have traditionally been difficult to apply to compression of hyperspectral images onboard of spacecrafts, due to the large computational complexity needed to achieve adequate representational power, as well as the lack of suitab
Externí odkaz:
http://arxiv.org/abs/2403.17677
Deep learning has shown outstanding performance in several applications including image classification. However, deep classifiers are known to be highly vulnerable to adversarial attacks, in that a minor perturbation of the input can easily lead to a
Externí odkaz:
http://arxiv.org/abs/2010.15487
We present BioMetricNet: a novel framework for deep unconstrained face verification which learns a regularized metric to compare facial features. Differently from popular methods such as FaceNet, the proposed approach does not impose any specific met
Externí odkaz:
http://arxiv.org/abs/2008.06021
We propose a novel architecture for generic biometric authentication based on deep neural networks: RegNet. Differently from other methods, RegNet learns a mapping of the input biometric traits onto a target distribution in a well-behaved space in wh
Externí odkaz:
http://arxiv.org/abs/1911.08764
Embeddings provide compact representations of signals in order to perform efficient inference in a wide variety of tasks. In particular, random projections are common tools to construct Euclidean distance-preserving embeddings, while hashing techniqu
Externí odkaz:
http://arxiv.org/abs/1909.01802
Autor:
Khan, Sahib, Bianchi, Tiziano
Publikováno v:
In Signal Processing: Image Communication February 2021 91
Autor:
Khodor, Mahdi, Makki, Ihab, Younes, Rafic, Bianchi, Tiziano, Khoder, Jihan, Francis, Clovis, Zucchetti, Massimo
Publikováno v:
In Remote Sensing Applications: Society and Environment January 2021 21
Akademický článek
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Publikováno v:
EURASIP Journal on Information Security; 3/8/2024, Vol. 2024 Issue 1, p1-18, 18p
Publikováno v:
In ISPRS Journal of Photogrammetry and Remote Sensing February 2017 124:40-53