event-based vision

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 …
Cite PDF HAL ICCV code
Time-to-Contact Map by Joint Estimation of Up-to-Scale Inverse Depth and Global Motion using a Single Event Camera
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 …
PDF Cite DOI URL
Stakes of Neuromorphic Foveation: a promising future for embedded event cameras
Preprint Cite
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. …
PDF Cite DOI URL
Learning heterogeneous delays of spiking neurons for motion detection
How to efficiently make use of time in neural computations? ⏱️ With @laurentperrinet we developed a model of spiking neuron including, in addition to synaptic weights, synaptic delays. https://t.co/eztnd5CUMn Come see this work on Tuesday morning at #FENS2022 poster n° 547 🪩
PDF Cite
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. …
PDF Cite Slides URL
Learning heterogeneous delays of Spiking Neurons for motion detection
During the #CVPR2022-#NeuroVision workshop about « What can computer vision learn from visual neuroscience? », @A_Grismaldi will talk today about « Learning hetero-synaptic delays of Spiking Neurons for motion detection » shows how to learn spike motifs !
Last updated on May 20, 2022
PDF Cite URL
Contributions of neuroscience to the detection and localization of objects in visual inputs
for visual search see: Emmanuel Daucé, Pierre Albigès, Laurent U Perrinet (2020). A dual foveal-peripheral visual processing model implements efficient saccade selection. Journal of Vision. Preprint PDF Cite Code DOI for retinotopy, see: Jean-Nicolas Jérémie, Emmanuel Daucé, Laurent U Perrinet (2022).
Last updated on Jun 16, 2022
Cite
Polychrony detection using heterogeneous delays
Follow this future presentations Antoine Grimaldi, Laurent U Perrinet (2022). Learning heterogeneous delays of Spiking Neurons for motion detection. NeuroVision Workshop in conjunction with CVPR 2022. PDF Cite URL Glad to meet the @centuri_ls crowd at the #CENTURIday !
May 19, 2022
Cite
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 …
PDF Cite Video
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 …
Preprint PDF Cite Video DOI
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 …
PDF Cite