Direct learning-based deep spiking neural networks: a review
The spiking neural network (SNN), as a promising brain-inspired computational model with
binary spike information transmission mechanism, rich spatially-temporal dynamics, and …
binary spike information transmission mechanism, rich spatially-temporal dynamics, and …
Deep learning for event-based vision: A comprehensive survey and benchmarks
Event cameras are bio-inspired sensors that capture the per-pixel intensity changes
asynchronously and produce event streams encoding the time, pixel position, and polarity …
asynchronously and produce event streams encoding the time, pixel position, and polarity …
SNIB: improving spike-based machine learning using nonlinear information bottleneck
S Yang, B Chen - IEEE Transactions on Systems, Man, and …, 2023 - ieeexplore.ieee.org
Spiking neural networks (SNNs) have garnered increased attention in the field of artificial
general intelligence (AGI) research due to their low power consumption, high computational …
general intelligence (AGI) research due to their low power consumption, high computational …
Event-based video reconstruction via potential-assisted spiking neural network
Neuromorphic vision sensor is a new bio-inspired imaging paradigm that reports
asynchronous, continuously per-pixel brightness changes called'events' with high temporal …
asynchronous, continuously per-pixel brightness changes called'events' with high temporal …
Secrets of event-based optical flow
Event cameras respond to scene dynamics and offer advantages to estimate motion.
Following recent image-based deep-learning achievements, optical flow estimation methods …
Following recent image-based deep-learning achievements, optical flow estimation methods …
E2nerf: Event enhanced neural radiance fields from blurry images
Abstract Neural Radiance Fields (NeRF) achieves impressive ren-dering performance by
learning volumetric 3D representation from several images of different views. However, it is …
learning volumetric 3D representation from several images of different views. However, it is …
Differentiable hierarchical and surrogate gradient search for spiking neural networks
Spiking neural network (SNN) has been viewed as a potential candidate for the next
generation of artificial intelligence with appealing characteristics such as sparse …
generation of artificial intelligence with appealing characteristics such as sparse …
Secrets of event-based optical flow, depth and ego-motion estimation by contrast maximization
Event cameras respond to scene dynamics and provide signals naturally suitable for motion
estimation with advantages, such as high dynamic range. The emerging field of event-based …
estimation with advantages, such as high dynamic range. The emerging field of event-based …
Learning dense and continuous optical flow from an event camera
Event cameras such as DAVIS can simultaneously output high temporal resolution events
and low frame-rate intensity images, which own great potential in capturing scene motion …
and low frame-rate intensity images, which own great potential in capturing scene motion …
Optical flow estimation from event-based cameras and spiking neural networks
J Cuadrado, U Rançon, BR Cottereau… - Frontiers in …, 2023 - frontiersin.org
Event-based cameras are raising interest within the computer vision community. These
sensors operate with asynchronous pixels, emitting events, or “spikes”, when the luminance …
sensors operate with asynchronous pixels, emitting events, or “spikes”, when the luminance …