most citedSC-DCNN: Highly-Scalable Deep Convolutional Neural Network using Stochastic Computing

35 citations · 35 across the 1 of their papers we have counts for

collaborators

5 papers

cs.MA20242 cited

Multi-agent Cooperative Games Using Belief Map Assisted Training

Qinwei Huang, Chen Luo, Alex B. Wu +3

In a multi-agent system, agents share their local observations to gain global situational awareness for decision making and collaboration using a message passing system. When to se…

cs.CV2024

Predictive Temporal Attention on Event-based Video Stream for Energy-efficient Situation Awareness

Yiming Bu, Jiayang Liu, Qinru Qiu

The Dynamic Vision Sensor (DVS) is an innovative technology that efficiently captures and encodes visual information in an event-driven manner. By combining it with event-driven ne…

cs.RO2024

SemanticSLAM: Learning based Semantic Map Construction and Robust Camera Localization

Mingyang Li, Yue Ma, Qinru Qiu

Current techniques in Visual Simultaneous Localization and Mapping (VSLAM) estimate camera displacement by comparing image features of consecutive scenes. These algorithms depend o…

cs.NE2023

Neuromorphic Online Learning for Spatiotemporal Patterns with a Forward-only Timeline

Zhenhang Zhang, Jingang Jin, Haowen Fang +1

Spiking neural networks (SNNs) are bio-plausible computing models with high energy efficiency. The temporal dynamics of neurons and synapses enable them to detect temporal patterns…

cs.CV201635 cited

SC-DCNN: Highly-Scalable Deep Convolutional Neural Network using Stochastic Computing

Ao Ren, Ji Li, Zhe Li +5

With recent advancing of Internet of Things (IoTs), it becomes very attractive to implement the deep convolutional neural networks (DCNNs) onto embedded/portable systems. Presently…