Event-Based Vision

A Robust Event-Driven Approach to Always-on Object Recognition
We propose a neuromimetic architecture able to perform always-on pattern recognition. To achieve this, we extended an existing …
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Time-to-Contact Map by Joint Estimation of Up-to-Scale Inverse Depth and Global Motion using a Single Event Camera
Event cameras asynchronously report brightness changes with a temporal resolution in the order of microseconds, which makes them …
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Time-to-Contact Map by Joint Estimation of Up-to-Scale Inverse Depth and Global Motion using a Single Event Camera
Stakes of Neuromorphic Foveation: a promising future for embedded event cameras
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Learning heterogeneous delays of spiking neurons for motion detection
The response of a biological neuron depends largely on the precise timing of presynaptic spikes that reach the basal dendritic tree. …
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Learning heterogeneous delays of spiking neurons for motion detection
Decoding spiking motifs using neurons with heterogeneous delays
The response of a biological neuron depends largely on the precise timing of presynaptic spikes that reach the basal dendritic tree. …
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Learning heterogeneous delays of Spiking Neurons for motion detection
Contributions of neuroscience to the detection and localization of objects in visual inputs
Polychrony detection using heterogeneous delays
From event-based computations to a bio-plausible Spiking Neural Network
We propose a neuromimetic online classifier for always-on digit recognition. To achieve this, we extend an existing event-based …
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A homeostatic gain control mechanism to improve event-driven object recognition
We propose a neuromimetic architecture able to perform pattern recognition. To achieve this, we extended the existing event-based …
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A robust bio-inspired approach to event-driven object recognition
We propose a neuromimetic architecture able to perform online pattern recognition. To achieve this, we extended the existing …
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