Speed Is All You Need: On-Device Acceleration of Large Diffusion Models via GPU-Aware Optimizations

no code implementations • 21 Apr 2023 • Yu-Hui Chen, Raman Sarokin, Juhyun Lee, Jiuqiang Tang, Chuo-Ling Chang, Andrei Kulik, Matthias Grundmann

The rapid development and application of foundation models have revolutionized the field of artificial intelligence.

Quantization

On-device Real-time Hand Gesture Recognition

no code implementations • 29 Oct 2021 • George Sung, Kanstantsin Sokal, Esha Uboweja, Valentin Bazarevsky, Jonathan Baccash, Eduard Gabriel Bazavan, Chuo-Ling Chang, Matthias Grundmann

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.

Hand Gesture Recognition Hand-Gesture Recognition

MediaPipe Hands: On-device Real-time Hand Tracking

4 code implementations • 18 Jun 2020 • Fan Zhang, Valentin Bazarevsky, Andrey Vakunov, Andrei Tkachenka, George Sung, Chuo-Ling Chang, Matthias Grundmann

We present a real-time on-device hand tracking pipeline that predicts hand skeleton from single RGB camera for AR/VR applications.

MediaPipe: A Framework for Building Perception Pipelines

2 code implementations • 14 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