Search Results for author: Fabrizio Pedersoli

Found 3 papers, 2 papers with code

Estimating Visual Information From Audio Through Manifold Learning

1 code implementation3 Aug 2022 Fabrizio Pedersoli, Dryden Wiebe, Amin Banitalebi, Yong Zhang, George Tzanetakis, Kwang Moo Yi

Therefore, audio-based methods can be useful even for applications in which only visual information is of interest Our framework is based on Manifold Learning and consists of two steps.

Semantic Segmentation

Espresso: Efficient Forward Propagation for Binary Deep Neural Networks

no code implementations ICLR 2018 Fabrizio Pedersoli, George Tzanetakis, Andrea Tagliasacchi

Binary Deep Neural Networks (BDNNs) have been shown to be an effective way of achieving this objective.

Espresso: Efficient Forward Propagation for BCNNs

1 code implementation19 May 2017 Fabrizio Pedersoli, George Tzanetakis, Andrea Tagliasacchi

In this paper, we show how Convolutional Neural Networks (CNNs) can be implemented using binary representations.

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