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20192021
most citedMediaPipe Hands: On-device Real-time Hand Tracking

564 citations · 910 across the 5 of their papers we have counts for

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5 papers · 1 filter

cs.CV20213 cited

On-device Real-time Hand Gesture Recognition

George Sung, Kanstantsin Sokal, Esha Uboweja +5

We present an on-device real-time hand gesture recognition (HGR) system, which detects a set of predefined static gestures from a single RGB camera. The system consists of two part…

cs.CV2020564 cited

MediaPipe Hands: On-device Real-time Hand Tracking

Fan Zhang, Valentin Bazarevsky, Andrey Vakunov +4

We present a real-time on-device hand tracking pipeline that predicts hand skeleton from single RGB camera for AR/VR applications. The pipeline consists of two models: 1) a palm de…

cs.CV202085 cited

BlazePose: On-device Real-time Body Pose tracking

Valentin Bazarevsky, Ivan Grishchenko, Karthik Raveendran +3

We present BlazePose, a lightweight convolutional neural network architecture for human pose estimation that is tailored for real-time inference on mobile devices. During inference…

cs.CV20198 cited

Real-time Hair Segmentation and Recoloring on Mobile GPUs

Andrei Tkachenka, Gregory Karpiak, Andrey Vakunov +4

We present a novel approach for neural network-based hair segmentation from a single camera input specifically designed for real-time, mobile application. Our relatively small neur…

cs.CV2019250 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…