157 citations · 295 across the 27 of their papers we have counts for
5 papers · 1 filter
Graph-based Spatial-temporal Feature Learning for Neuromorphic Vision Sensing
Yin Bi, Aaron Chadha, Alhabib Abbas +2
Neuromorphic vision sensing (NVS)\ devices represent visual information as sequences of asynchronous discrete events (a.k.a., "spikes") in response to changes in scene reflectance.…
Complexity-Scalable Neural Network Based MIMO Detection With Learnable Weight Scaling
Abdullahi Mohammad, Christos Masouros, Yiannis Andreopoulos
This paper introduces a framework for systematic complexity scaling of deep neural network(DNN) based MIMO detectors. The model uses a fraction of the DNN inputs by scaling their v…
Graph-Based Object Classification for Neuromorphic Vision Sensing
Yin Bi, Aaron Chadha, Alhabib Abbas +2
Neuromorphic vision sensing (NVS)\ devices represent visual information as sequences of asynchronous discrete events (a.k.a., ``spikes'') in response to changes in scene reflectanc…
Deep Video Precoding
Eirina Bourtsoulatze, Aaron Chadha, Ilya Fadeev +2
Several groups are currently investigating how deep learning may advance the state-of-the-art in image and video coding. An open question is how to make deep neural networks work i…
UAV Detection: A STDP trained Deep Convolutional Spiking Neural Network Retina-Neuromorphic Approach
Paul Kirkland
The Dynamic Vision Sensor (DVS) has many attributes that allow it to be well suited to the task for UAV Detection. This paper is the first to look at exploiting the features of an…