HATS: Histograms of Averaged Time Surfaces for Robust Event-based Object Classification
Event-based cameras have recently drawn the attention of the Computer Vision community thanks to their advantages in terms of high temporal resolution, low power consumption and high dynamic...
STICK: Spike Time Interval Computational Kernel, A Framework for General Purpose Computation using Neurons, Precise Timing, Delays, and Synchrony
There has been significant research over the past two decades in developing new platforms for spiking neural computation. Current neural computers are primarily developed to mimick biology. They...
HATS: Histograms of Averaged Time Surfaces for Robust Event-Based Object Classification
Real-time event-driven spiking neural network object recognition on the SpiNNaker platform
Live demonstration: A stimulation platform for optogenetic and bionic vision restoration
Live demonstration: Neuromorphic event-based multi-kernel algorithm for high speed visual features tracking
A Linear N-Point Solver for Structure and Motion from Asynchronous Tracks
Structure and continuous motion estimation from point correspondences is a fundamental problem in computer vision that has been powered by well-known algorithms such as the familiar 5-point or...
GS-EVT: Cross-Modal Event Camera Tracking based on Gaussian Splatting
Reliable self-localization is a foundational skill for many intelligent mobile platforms. This paper explores the use of event cameras for motion tracking thereby providing a solution with...