18 citations · 72 across the 13 of their papers we have counts for
5 papers · 1 filter
Convolutional Neural Networks Quantization with Attention
Binyi Wu, Bernd Waschneck, Christian Georg Mayr
It has been proven that, compared to using 32-bit floating-point numbers in the training phase, Deep Convolutional Neural Networks (DCNNs) can operate with low precision during inf…
Robust Environment Perception for Automated Driving: A Unified Learning Pipeline for Visual-Infrared Object Detection
Mohsen Vadidar, Ali Kariminezhad, Christian Mayr +2
The RGB complementary metal-oxidesemiconductor (CMOS) sensor works within the visible light spectrum. Therefore it is very sensitive to environmental light conditions. On the contr…
Efficient recurrent architectures through activity sparsity and sparse back-propagation through time
Anand Subramoney, Khaleelulla Khan Nazeer, Mark Schöne +2
Recurrent neural networks (RNNs) are well suited for solving sequence tasks in resource-constrained systems due to their expressivity and low computational requirements. However, t…
Raw Radar data based Object Detection and Heading estimation using Cross Attention
Ravi Kothari, Ali Kariminezhad, Christian Mayr +1
Radar is an inevitable part of the perception sensor set for autonomous driving functions. It plays a gap-filling role to complement the shortcomings of other sensors in diverse sc…
Time-coded Spiking Fourier Transform in Neuromorphic Hardware
Javier López-Randulfe, Nico Reeb, Negin Karimi +6
After several decades of continuously optimizing computing systems, the Moore's law is reaching itsend. However, there is an increasing demand for fast and efficient processing sys…