145 citations · 223 across the 11 of their papers we have counts for
3 papers · 1 filter
Retina : Low-Power Eye Tracking with Event Camera and Spiking Hardware
Pietro Bonazzi, Sizhen Bian, Giovanni Lippolis +3
This paper introduces a neuromorphic methodology for eye tracking, harnessing pure event data captured by a Dynamic Vision Sensor (DVS) camera. The framework integrates a directly…
Ultra-low-power Image Classification on Neuromorphic Hardware
Gregor Lenz, Garrick Orchard, Sadique Sheik
Spiking neural networks (SNNs) promise ultra-low-power applications by exploiting temporal and spatial sparsity. The number of binary activations, called spikes, is proportional to…
Adversarial Attacks on Spiking Convolutional Neural Networks for Event-based Vision
Julian Büchel, Gregor Lenz, Yalun Hu +2
Event-based dynamic vision sensors provide very sparse output in the form of spikes, which makes them suitable for low-power applications. Convolutional spiking neural networks mod…