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03/16/2023
The Intel Neuromorphic DNS Challenge
A critical enabler for progress in neuromorphic computing research is th...
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11/05/2021
Efficient Neuromorphic Signal Processing with Loihi 2
The biologically inspired spiking neurons used in neuromorphic computing...
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09/02/2020
e-TLD: Event-based Framework for Dynamic Object Tracking
This paper presents a long-term object tracking framework with a moving ...
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08/03/2020
Online Few-shot Gesture Learning on a Neuromorphic Processor
We present the Surrogate-gradient Online Error-triggered Learning (SOEL)...
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04/27/2020
Neuromorphic Nearest-Neighbor Search Using Intel's Pohoiki Springs
Neuromorphic computing applies insights from neuroscience to uncover inn...
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10/22/2019
A low-power end-to-end hybrid neuromorphic framework for surveillance applications
With the success of deep learning, object recognition systems that can b...
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10/11/2019
On-chip Few-shot Learning with Surrogate Gradient Descent on a Neuromorphic Processor
Recent work suggests that synaptic plasticity dynamics in biological mod...
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10/04/2019
EBBIOT: A Low-complexity Tracking Algorithm for Surveillance in IoVT Using Stationary Neuromorphic Vision Sensors
In this paper, we present EBBIOT-a novel paradigm for object tracking us...
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04/24/2019
PCA-RECT: An Energy-efficient Object Detection Approach for Event Cameras
We present the first purely event-based, energy-efficient approach for o...
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04/17/2019
Event-based Vision: A Survey
Event cameras are bio-inspired sensors that work radically different fro...
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09/05/2018
SLAYER: Spike Layer Error Reassignment in Time
Configuring deep Spiking Neural Networks (SNNs) is an exciting research ...
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10/30/2017
DART: Distribution Aware Retinal Transform for Event-based Cameras
We introduce a new event-based visual descriptor, termed as distribution...
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10/26/2017
