Search Results for author: Juhyun Lee

Found 8 papers, 2 papers with code

Efficient Memory Management for Deep Neural Net Inference

2 code implementations10 Jan 2020 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, desired for various reasons ranging from latency to privacy.

Management

Unconstrained Road Marking Recognition with Generative Adversarial Networks

no code implementations10 Oct 2019 Younkwan Lee, Juhyun Lee, Yoojin Hong, YeongMin Ko, Moongu Jeon

Recent road marking recognition has achieved great success in the past few years along with the rapid development of deep learning.

Data Augmentation Deblurring

On-Device Neural Net Inference with Mobile GPUs

no code implementations3 Jul 2019 Juhyun Lee, Nikolay Chirkov, Ekaterina Ignasheva, Yury Pisarchyk, Mogan Shieh, Fabio Riccardi, Raman Sarokin, Andrei Kulik, Matthias Grundmann

On-device inference of machine learning models for mobile phones is desirable due to its lower latency and increased privacy.

MediaPipe: A Framework for Building Perception Pipelines

2 code implementations14 Jun 2019 Camillo Lugaresi, Jiuqiang Tang, Hadon Nash, Chris McClanahan, Esha Uboweja, Michael Hays, Fan Zhang, Chuo-Ling Chang, Ming Guang Yong, Juhyun Lee, Wan-Teh Chang, Wei Hua, Manfred Georg, Matthias Grundmann

A developer can use MediaPipe to build prototypes by combining existing perception components, to advance them to polished cross-platform applications and measure system performance and resource consumption on target platforms.

Distributed, Parallel, and Cluster Computing

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