most citedAccurate and Efficient Event-based Semantic Segmentation Using Adaptive Spiking Encoder-Decoder Network

5 citations · 5 across the 2 of their papers we have counts for

collaborators

2 papers

eess.AS2025

Unsupervised Single-Channel Audio Separation with Diffusion Source Priors

Runwu Shi, Chang Li, Jiang Wang +5

Single-channel audio separation aims to separate individual sources from a single-channel mixture. Most existing methods rely on supervised learning with synthetically generated pa…

cs.CV2023★ 5 cited

Accurate and Efficient Event-based Semantic Segmentation Using Adaptive Spiking Encoder-Decoder Network

Rui Zhang, Luziwei Leng, Kaiwei Che +5

Spiking neural networks (SNNs), known for their low-power, event-driven computation and intrinsic temporal dynamics, are emerging as promising solutions for processing dynamic, asy…