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Found 3 papers, 1 papers with code
Back to Event Basics: Self-Supervised Learning of Image Reconstruction for Event Cameras via Photometric Constancy
In this work we approach, for the first time, the intensity reconstruction problem from a self-supervised learning perspective.
How Do Neural Networks Estimate Optical Flow? A Neuropsychology-Inspired Study
For our investigation, we focus on FlowNetS, as it is the prototype of an encoder-decoder neural network for optical flow estimation.
Evolved Neuromorphic Control for High Speed Divergence-based Landings of MAVs
In light of this, we want to mimic flying insects in terms of their processing capabilities, and consequently show the efficiency of this approach in the real world.
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