62 citations · 75 across the 5 of their papers we have counts for
5 papers
Real-Time Acoustic Perception for Automotive Applications
Jun Yin, Stefano Damiano, Marian Verhelst +2
In recent years the automotive industry has been strongly promoting the development of smart cars, equipped with multi-modal sensors to gather information about the surroundings, i…
SELD-TCN: Sound Event Localization & Detection via Temporal Convolutional Networks
Karim Guirguis, Christoph Schorn, Andre Guntoro +2
The understanding of the surrounding environment plays a critical role in autonomous robotic systems, such as self-driving cars. Extensive research has been carried out concerning…
An End-to-End HW/SW Co-Design Methodology to Design Efficient Deep Neural Network Systems using Virtual Models
Michael J. Klaiber, Sebastian Vogel, Axel Acosta +5
End-to-end performance estimation and measurement of deep neural network (DNN) systems become more important with increasing complexity of DNN systems consisting of hardware and so…
Automated design of error-resilient and hardware-efficient deep neural networks
Christoph Schorn, Thomas Elsken, Sebastian Vogel +3
Applying deep neural networks (DNNs) in mobile and safety-critical systems, such as autonomous vehicles, demands a reliable and efficient execution on hardware. Optimized dedicated…
Efficient Stochastic Inference of Bitwise Deep Neural Networks
Sebastian Vogel, Christoph Schorn, Andre Guntoro +1
Recently published methods enable training of bitwise neural networks which allow reduced representation of down to a single bit per weight. We present a method that exploits ensem…