27 citations · 132 across the 19 of their papers we have counts for
5 papers · 1 filter
A Data-Driven Compressive Sensing Framework Tailored For Energy-Efficient Wearable Sensing
Kai Xu, Yixing Li, Fengbo Ren
Compressive sensing (CS) is a promising technology for realizing energy-efficient wireless sensors for long-term health monitoring. However, conventional model-driven CS frameworks…
A Binary Convolutional Encoder-decoder Network for Real-time Natural Scene Text Processing
Zichuan Liu, Yixing Li, Fengbo Ren +1
In this paper, we develop a binary convolutional encoder-decoder network (B-CEDNet) for natural scene text processing (NSTP). It converts a text image to a class-distinguished sali…
CSVideoNet: A Real-time End-to-end Learning Framework for High-frame-rate Video Compressive Sensing
Kai Xu, Fengbo Ren
This paper addresses the real-time encoding-decoding problem for high-frame-rate video compressive sensing (CS). Unlike prior works that perform reconstruction using iterative opti…
An Energy-Efficient Compressive Sensing Framework Incorporating Online Dictionary Learning for Long-term Wireless Health Monitoring
Kai Xu, Yixing Li, Fengbo Ren
Wireless body area network (WBAN) is emerging in the mobile healthcare area to replace the traditional wire-connected monitoring devices. As wireless data transmission dominates po…
A Data-Driven Compressive Sensing Framework for Long-Term Health Monitoring
Kai Xu, Yuhao Wang, Yixing Li +1
Compressive sensing (CS) is a promising technology for realizing energy-efficient wireless sensors for long-term health monitoring. In this paper, we propose a data-driven CS frame…