219 citations · 284 across the 7 of their papers we have counts for
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cs.LG2019★ 57 cited
On-Device Neural Net Inference with Mobile GPUs
Juhyun Lee, Nikolay Chirkov, Ekaterina Ignasheva +6
On-device inference of machine learning models for mobile phones is desirable due to its lower latency and increased privacy. Running such a compute-intensive task solely on the mo…
cs.DC2019★ 219 cited
MediaPipe: A Framework for Building Perception Pipelines
Camillo Lugaresi, Jiuqiang Tang, Hadon Nash +11
Building applications that perceive the world around them is challenging. A developer needs to (a) select and develop corresponding machine learning algorithms and models, (b) buil…