43 citations · 43 across the 4 of their papers we have counts for
4 papers
Compressed Real Numbers for AI: a case-study using a RISC-V CPU
Federico Rossi, Marco Cococcioni, Roger Ferrer Ibàñez +5
As recently demonstrated, Deep Neural Networks (DNN), usually trained using single precision IEEE 754 floating point numbers (binary32), can also work using lower precision. Theref…
PPU: Design and Implementation of a Pipelined Full Posit Processing Unit
Federico Rossi, Francesco Urbani, Marco Cococcioni +2
By exploiting the modular RISC-V ISA this paper presents the customization of instruction set with posit\textsuperscript{\texttrademark} arithmetic instructions to provide improved…
VALUE: Large Scale Voting-based Automatic Labelling for Urban Environments
Giacomo Dabisias, Emanuele Ruffaldi, Hugo Grimmett +1
This paper presents a simple and robust method for the automatic localisation of static 3D objects in large-scale urban environments. By exploiting the potential to merge a large v…
Robust and Subject-Independent Driving Manoeuvre Anticipation through Domain-Adversarial Recurrent Neural Networks
Michele Tonutti, Emanuele Ruffaldi, Alessandro Cattaneo +1
Through deep learning and computer vision techniques, driving manoeuvres can be predicted accurately a few seconds in advance. Even though adapting a learned model to new drivers a…