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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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16 papers · 1 filter

cs.CV2023

Towards Authentic Face Restoration with Iterative Diffusion Models and Beyond

Yang Zhao, Tingbo Hou, Yu-Chuan Su +2

An authentic face restoration system is becoming increasingly demanding in many computer vision applications, e.g., image enhancement, video communication, and taking portrait. Mos…

cs.CV2023★ 1 cited

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

Yu-Hui Chen, Raman Sarokin, Juhyun Lee +4

The rapid development and application of foundation models have revolutionized the field of artificial intelligence. Large diffusion models have gained significant attention for th…

cs.CV2022★ 2 cited

Efficient Heterogeneous Video Segmentation at the Edge

Jamie Menjay Lin, Siargey Pisarchyk, Juhyun Lee +7

We introduce an efficient video segmentation system for resource-limited edge devices leveraging heterogeneous compute. Specifically, we design network models by searching across m…

cs.CV2022★ 22 cited

BlazePose GHUM Holistic: Real-time 3D Human Landmarks and Pose Estimation

Ivan Grishchenko, Valentin Bazarevsky, Andrei Zanfir +7

We present BlazePose GHUM Holistic, a lightweight neural network pipeline for 3D human body landmarks and pose estimation, specifically tailored to real-time on-device inference. B…

cs.CV2021★ 3 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.CV2020

Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose Annotations

Adel Ahmadyan, Liangkai Zhang, Jianing Wei +2

3D object detection has recently become popular due to many applications in robotics, augmented reality, autonomy, and image retrieval. We introduce the Objectron dataset to advanc…

cs.CV2020★ 9 cited

Instant 3D Object Tracking with Applications in Augmented Reality

Adel Ahmadyan, Tingbo Hou, Jianing Wei +3

Tracking object poses in 3D is a crucial building block for Augmented Reality applications. We propose an instant motion tracking system that tracks an object's pose in space (repr…

cs.CV2020★ 52 cited

Attention Mesh: High-fidelity Face Mesh Prediction in Real-time

Ivan Grishchenko, Artsiom Ablavatski, Yury Kartynnik +2

We present Attention Mesh, a lightweight architecture for 3D face mesh prediction that uses attention to semantically meaningful regions. Our neural network is designed for real-ti…

cs.CV2020★ 564 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.CV2020★ 85 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.CV2020★ 27 cited

MobilePose: Real-Time Pose Estimation for Unseen Objects with Weak Shape Supervision

Tingbo Hou, Adel Ahmadyan, Liangkai Zhang +2

In this paper, we address the problem of detecting unseen objects from RGB images and estimating their poses in 3D. We propose two mobile friendly networks: MobilePose-Base and Mob…

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.CV2015★ 7 cited

Finding Temporally Consistent Occlusion Boundaries in Videos using Geometric Context

S. Hussain Raza, Ahmad Humayun, Matthias Grundmann +2

We present an algorithm for finding temporally consistent occlusion boundaries in videos to support segmentation of dynamic scenes. We learn occlusion boundaries in a pairwise Mark…

cs.CV2015★ 40 cited

Geometric Context from Videos

S. Hussain Raza, Matthias Grundmann, Irfan Essa

We present a novel algorithm for estimating the broad 3D geometric structure of outdoor video scenes. Leveraging spatio-temporal video segmentation, we decompose a dynamic scene ca…