no code implementations • ICCV 2023 • Yunqiang Li, Jan C. van Gemert, Torsten Hoefler, Bert Moons, Evangelos Eleftheriou, Bram-Ernst Verhoef
Deep learning algorithms are increasingly employed at the edge.
no code implementations • ICCV 2021 • Bert Moons, Parham Noorzad, Andrii Skliar, Giovanni Mariani, Dushyant Mehta, Chris Lott, Tijmen Blankevoort
Second, a rapid evolutionary search finds a set of pareto-optimal architectures for any scenario using the accuracy predictor and on-device measurements.
no code implementations • 16 Apr 2018 • Bert Moons, Daniel Bankman, Lita Yang, Boris Murmann, Marian Verhelst
This paper introduces BinarEye: a digital processor for always-on Binary Convolutional Neural Networks.
no code implementations • 13 Mar 2018 • Matthijs Van keirsbilck, Bert Moons, Marian Verhelst
Performing multi-modal speech recognition - processing acoustic speech signals and lip-reading video simultaneously - significantly enhances the performance of such systems, especially in noisy environments.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +3
no code implementations • 1 Nov 2017 • Bert Moons, Koen Goetschalckx, Nick Van Berckelaer, Marian Verhelst
To this end, the energy consumption of inference is modeled for a generic hardware platform.
no code implementations • 22 Mar 2016 • Bert Moons, Bert de Brabandere, Luc van Gool, Marian Verhelst
Recently ConvNets or convolutional neural networks (CNN) have come up as state-of-the-art classification and detection algorithms, achieving near-human performance in visual detection.