219 citations · 224 across the 2 of their papers we have counts for
3 papers
cs.LG2020★ 5 cited
Efficient Memory Management for Deep Neural Net Inference
Yury Pisarchyk, Juhyun Lee
While deep neural net inference was considered a task for servers only, latest advances in technology allow the task of inference to be moved to mobile and embedded devices, desire…
cs.LG2019
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…