Image Reconstruction from Neuromorphic Event Cameras using Laplacian Prediction and Poisson Integration with Spiking and Artificial Neural Networks
Dependencies:
The code for the shared weighed model :shared_weight_model.ipynb
The code for the spiking neural network: nengo_snn_PI_model_5.ipynb
We converted each event-file from N-Caltech Dataset to a 6 channels tesnsor. Download the full converted dataset.
Or download subset of the dataset: testX is the inputs to model. testY is the targets (Laplacians of the original Caltech 101 image)
@InProceedings{Duwek_2021_CVPR,
author = {Cohen-Duwek, Hadar and Shalumov, Albert and Tsur, Elishai Ezra},
title = {Image Reconstruction From Neuromorphic Event Cameras Using Laplacian-Prediction and Poisson Integration With Spiking and Artificial Neural Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2021},
pages = {1333-1341}
}