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Francesco Solera

Showing results (1-10 of 4) with videos related to

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IEEE Transactions on Pattern Analysis and Machine Intelligence|April 6, 2016
Socially Constrained Structural Learning for Groups Detection in CrowdFrancesco Solera, Simone Calderara, Rita Cucchiara
IEEE Transactions on Pattern Analysis and Machine Intelligence|July 12, 2018
Predicting the Driver's Focus of Attention: The DR(eye)VE ProjectAndrea Palazzi, Davide Abati, Simone Calderara, et al.
Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)|August 5, 2021
A deep learning approach for magnetic resonance fingerprinting: Scaling capabilities and good training practices investigated by simulationsMarco Barbieri, Leonardo Brizi, Enrico Giampieri, et al.
NMR in Biomedicine|January 28, 2022
Circumventing the curse of dimensionality in magnetic resonance fingerprinting through a deep learning approachMarco Barbieri, Philip K Lee, Leonardo Brizi, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Pattern Analysis and Machine Intelligence|April 6, 2016
Socially Constrained Structural Learning for Groups Detection in CrowdFrancesco Solera, Simone Calderara, Rita Cucchiara
IEEE Transactions on Pattern Analysis and Machine Intelligence|July 12, 2018
Predicting the Driver's Focus of Attention: The DR(eye)VE ProjectAndrea Palazzi, Davide Abati, Simone Calderara, et al.
Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)|August 5, 2021
A deep learning approach for magnetic resonance fingerprinting: Scaling capabilities and good training practices investigated by simulationsMarco Barbieri, Leonardo Brizi, Enrico Giampieri, et al.
NMR in Biomedicine|January 28, 2022
Circumventing the curse of dimensionality in magnetic resonance fingerprinting through a deep learning approachMarco Barbieri, Philip K Lee, Leonardo Brizi, et al.
Pageof 1