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20152023
most citedMediaPipe Hands: On-device Real-time Hand Tracking

564 citations · 1.4k across the 20 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.CV2019★ 6 cited

Instant Motion Tracking and Its Applications to Augmented Reality

Jianing Wei, Genzhi Ye, Tyler Mullen +3

Augmented Reality (AR) brings immersive experiences to users. With recent advances in computer vision and mobile computing, AR has scaled across platforms, and has increased adopti…

cs.CV2019★ 58 cited

Real-time Facial Surface Geometry from Monocular Video on Mobile GPUs

Yury Kartynnik, Artsiom Ablavatski, Ivan Grishchenko +1

We present an end-to-end neural network-based model for inferring an approximate 3D mesh representation of a human face from single camera input for AR applications. The relatively…

cs.CV2019★ 250 cited

BlazeFace: Sub-millisecond Neural Face Detection on Mobile GPUs

Valentin Bazarevsky, Yury Kartynnik, Andrey Vakunov +2

We present BlazeFace, a lightweight and well-performing face detector tailored for mobile GPU inference. It runs at a speed of 200-1000+ FPS on flagship devices. This super-realtim…

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…