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LAND: A Longitudinal Analysis of Neuromorphic Datasets
Gregory Cohen, Alexandre Marcireau
Neuromorphic engineering has a data problem. Despite the meteoric rise in the number of neuromorphic datasets published over the past ten years, the conclusion of a significant por…
Seeing like a Cephalopod: Colour Vision with a Monochrome Event Camera
Sami Arja, Nimrod Kruger, Alexandre Marcireau +3
Cephalopods exhibit unique colour discrimination capabilities despite having one type of photoreceptor, relying instead on chromatic aberration induced by their ocular optics and p…
Noise Filtering Benchmark for Neuromorphic Satellites Observations
Sami Arja, Alexandre Marcireau, Nicholas Owen Ralph +2
Event cameras capture sparse, asynchronous brightness changes which offer high temporal resolution, high dynamic range, low power consumption, and sparse data output. These advanta…
Motion Segmentation for Neuromorphic Aerial Surveillance
Sami Arja, Alexandre Marcireau, Saeed Afshar +2
Aerial surveillance demands rapid and precise detection of moving objects in dynamic environments. Event cameras, which draw inspiration from biological vision systems, present a p…
Density Invariant Contrast Maximization for Neuromorphic Earth Observations
Sami Arja, Alexandre Marcireau, Richard L. Balthazor +3
Contrast maximization (CMax) techniques are widely used in event-based vision systems to estimate the motion parameters of the camera and generate high-contrast images. However, th…