all AI news
Event-based Video Reconstruction via Potential-assisted Spiking Neural Network. (arXiv:2201.10943v1 [cs.CV])
Jan. 27, 2022, 2:10 a.m. | Lin Zhu, Xiao Wang, Yi Chang, Jianing Li, Tiejun Huang, Yonghong Tian
cs.CV updates on arXiv.org arxiv.org
Neuromorphic vision sensor is a new bio-inspired imaging paradigm that
reports asynchronous, continuously per-pixel brightness changes called `events'
with high temporal resolution and high dynamic range. So far, the event-based
image reconstruction methods are based on artificial neural networks (ANN) or
hand-crafted spatiotemporal smoothing techniques. In this paper, we first
implement the image reconstruction work via fully spiking neural network (SNN)
architecture. As the bio-inspired neural networks, SNNs operating with
asynchronous binary spikes distributed over time, can potentially lead to …
More from arxiv.org / cs.CV updates on arXiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Vice President, Data Science, Marketplace
@ Xometry | North Bethesda, Maryland, Lexington, KY, Remote
Field Solutions Developer IV, Generative AI, Google Cloud
@ Google | Toronto, ON, Canada; Atlanta, GA, USA