200 citations · 513 across the 24 of their papers we have counts for
4 papers · 1 filter
Hardware-aware mobile building block evaluation for computer vision
Maxim Bonnaerens, Matthias Freiberger, Marian Verhelst +1
In this work we propose a methodology to accurately evaluate and compare the performance of efficient neural network building blocks for computer vision in a hardware-aware manner.…
Feed-Forward On-Edge Fine-tuning Using Static Synthetic Gradient Modules
Robby Neven, Marian Verhelst, Tinne Tuytelaars +1
Training deep learning models on embedded devices is typically avoided since this requires more memory, computation and power over inference. In this work, we focus on lowering the…
Resource aware design of a deep convolutional-recurrent neural network for speech recognition through audio-visual sensor fusion
Matthijs Van keirsbilck, Bert Moons, Marian Verhelst
Today's Automatic Speech Recognition systems only rely on acoustic signals and often don't perform well under noisy conditions. Performing multi-modal speech recognition - processi…
Energy-Efficient ConvNets Through Approximate Computing
Bert Moons, Bert De Brabandere, Luc Van Gool +1
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 detect…