51 citations · 95 across the 7 of their papers we have counts for
4 papers · 1 filter
A Spike Learning System for Event-driven Object Recognition
Shibo Zhou, Wei Wang, Xiaohua Li +1
Event-driven sensors such as LiDAR and dynamic vision sensor (DVS) have found increased attention in high-resolution and high-speed applications. A lot of work has been conducted t…
Temporal Pulses Driven Spiking Neural Network for Fast Object Recognition in Autonomous Driving
Wei Wang, Shibo Zhou, Jingxi Li +3
Accurate real-time object recognition from sensory data has long been a crucial and challenging task for autonomous driving. Even though deep neural networks (DNNs) have been succe…
Deep SCNN-based Real-time Object Detection for Self-driving Vehicles Using LiDAR Temporal Data
Shibo Zhou, Ying Chen, Xiaohua Li +1
Real-time accurate detection of three-dimensional (3D) objects is a fundamental necessity for self-driving vehicles. Most existing computer vision approaches are based on convoluti…
Temporal-Coded Deep Spiking Neural Network with Easy Training and Robust Performance
Shibo Zhou, Xiaohua LI, Ying Chen +2
Spiking neural network (SNN) is interesting both theoretically and practically because of its strong bio-inspiration nature and potentially outstanding energy efficiency. Unfortuna…