Search Results - "Migliorati, Andrea"

Cancelable templates for secure face verification based on deep learning and random projections by Ali, Arslan, Migliorati, Andrea, Bianchi, Tiziano, Magli, Enrico

“…Recently, biometric recognition has become a significant field of research. The concept of cancelable biometrics (CB) has been introduced to address security…”
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Gaussian class-conditional simplex loss for accurate, adversarially robust deep classifier training by Ali, Arslan, Migliorati, Andrea, Bianchi, Tiziano, Magli, Enrico

“…In this work, we present the Gaussian Class-Conditional Simplex (GCCS) loss: a novel approach for training deep robust multiclass classifiers that improves…”
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Learnable Descriptors for Visual Search by Migliorati, Andrea, Fiandrotti, Attilio, Francini, Gianluca, Leonardi, Riccardo

“…This work proposes LDVS, a learnable binary local descriptor devised for matching natural images within the MPEG CDVS framework. LDVS descriptors are learned…”
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Playing the Lottery With Concave Regularizers for Sparse Trainable Neural Networks by Fracastoro, Giulia, Fosson, Sophie M., Migliorati, Andrea, Calafiore, Giuseppe C.

“…The design of sparse neural networks, i.e., of networks with a reduced number of parameters, has been attracting increasing research attention in the last few…”
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Beyond cross-entropy: learning highly separable feature distributions for robust and accurate classification by Ali, Arslan, Migliorati, Andrea, Bianchi, Tiziano, Magli, Enrico

“…Deep learning has shown outstanding performance in several applications including image classification. However, deep classifiers are known to be highly…”
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Exploring the Potential of Compressive Sensing Payloads for Earth Observation from Geostationary Platforms: An Instrumental Concept for Fire Monitoring by Donato Borrelli, Massimo Baldi, Dirk Berndt, Lucas Bertoncini, Tiziano Bianchi, Lionel Bischof, Guzman Borque Gallego, Roberto Carlà, Peter Coppo, Chiara Corti, Francesco Corti, Marco Corti, Nick Cox, Ulrike A. Dauderstädt, Peter Dürr, Enrico Franci, Sara Francés González, Andrea Gonnelli, Irene Guerri, Donatella Guzzi, Stéphane Humbert, Demetrio Labate, Nicolas Lamquin, Cinzia Lastri, Enrico Magli, Emiliano Marzi, Andrea Migliorati, Vanni Nardino, Christophe Pache, Lorenzo Palombi, Alice Maria Piccirillo, Giuseppe Pilato, Enrico Suetta, Dario Taddei, Diego Valsesia, Michael Wagner, Valentina Raimondi

“…Earth observation (EO) payload performances in the infrared spectral region from geostationary platforms are often limited by spatial resolution. In this…”
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ConQ: Binary Quantization of Neural Networks via Concave Regularization by Migliorati, Andrea, Fracastoro, Giulia, Fosson, Sophie, Bianchi, Tiziano, Magli, Enrico

“…The increasing demand for deep neural networks (DNNs) in resource-constrained systems propels the interest in heavily quantized architectures such as networks…”
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Sparsification of Deep Neural Networks via Ternary Quantization by Dordoni, Luca, Migliorati, Andrea, Fracastoro, Giulia, Fosson, Sophie, Bianchi, Tiziano, Magli, Enrico

“…In recent years, the demand for compact deep neural networks (DNN s) has increased consistently, driven by the necessity to deploy them in environments with…”
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Onboard Processing Capabilities of an Earth Observation Compressive Sensing Payload by Bianchi, Tiziano, Cilia, Martina, Magli, Enrico, Migliorati, Andrea, Prette, Nicola, Valsesia, Diego

“…In this paper, we explore the onboard processing capabilities of an optical Earth observation instrument operating under the principles of compressed sensing,…”
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Beyond cross-entropy: learning highly separable feature distributions for robust and accurate classification by Ali, Arslan, Migliorati, Andrea, Bianchi, Tiziano, Magli, Enrico

“…Deep learning has shown outstanding performance in several applications including image classification. However, deep classifiers are known to be highly…”
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Feature Fusion for Robust Patch Matching with Compact Binary Descriptors by Migliorati, Andrea, Fiandrotti, Attilio, Francini, Gianluca, Lepsoy, Skjalg, Leonardi, Riccardo

“…This work addresses the problem of learning compact yet discriminative patch descriptors within a deep learning framework. We observe that features extracted…”
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Feature Fusion for Robust Patch Matching With Compact Binary Descriptors by Migliorati, Andrea, Fiandrotti, Attilio, Francini, Gianluca, Lepsoy, Skjalg, Leonardi, Riccardo

“…This work addresses the problem of learning compact yet discriminative patch descriptors within a deep learning framework. We observe that features extracted…”
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