4 citations · 4 across the 3 of their papers we have counts for
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cs.CV2024
Dynamic DNNs and Runtime Management for Efficient Inference on Mobile/Embedded Devices
Lei Xun, Jonathon Hare, Geoff V. Merrett
Deep neural network (DNN) inference is increasingly being executed on mobile and embedded platforms due to several key advantages in latency, privacy and always-on availability. Ho…
cs.CV2024
Fluid Dynamic DNNs for Reliable and Adaptive Distributed Inference on Edge Devices
Lei Xun, Mingyu Hu, Hengrui Zhao +3
Distributed inference is a popular approach for efficient DNN inference at the edge. However, traditional Static and Dynamic DNNs are not distribution-friendly, causing system reli…
cs.CV2019★ 4 cited
A Biologically Inspired Visual Working Memory for Deep Networks
Ethan Harris, Mahesan Niranjan, Jonathon Hare
The ability to look multiple times through a series of pose-adjusted glimpses is fundamental to human vision. This critical faculty allows us to understand highly complex visual sc…