4 citations · 5 across the 3 of their papers we have counts for
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cs.LG2022
Toward Among-Device AI from On-Device AI with Stream Pipelines
MyungJoo Ham, Sangjung Woo, Jaeyun Jung +4
Modern consumer electronic devices often provide intelligence services with deep neural networks. We have started migrating the computing locations of intelligence services from cl…
cs.LG2021★ 1 cited
NNStreamer: Efficient and Agile Development of On-Device AI Systems
MyungJoo Ham, Jijoong Moon, Geunsik Lim +9
We propose NNStreamer, a software system that handles neural networks as filters of stream pipelines, applying the stream processing paradigm to deep neural network applications. A…