Deep Learning based Virtual Point Tracking for Real-Time Target-less
Dynamic Displacement Measurement in Railway Applications

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Deep Learning based Virtual Point Tracking for Real-Time Target-less Dynamic Displacement Measurement in Railway Applications

17 January 2021

Viktor Skrickij

Roberto Oliverio

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Papers citing "Deep Learning based Virtual Point Tracking for Real-Time Target-less Dynamic Displacement Measurement in Railway Applications"

7 / 7 papers shown

Title
BlazePose: On-device Real-time Body Pose tracking Valentin Bazarevsky Ivan Grishchenko Karthik Raveendran Tyler Lixuan Zhu Fan Zhang Matthias Grundmann 3DH CVBM 49 585 0 17 Jun 2020
Monocular Human Pose Estimation: A Survey of Deep Learning-based Methods Yucheng Chen Yingli Tian Mingyi He 3DH 55 359 0 02 Jun 2020
Searching for MobileNetV3 Andrew G. Howard Mark Sandler Grace Chu Liang-Chieh Chen Bo Chen ... Yukun Zhu Ruoming Pang Vijay Vasudevan Quoc V. Le Hartwig Adam 359 6,799 0 06 May 2019
Deep High-Resolution Representation Learning for Human Pose Estimation Ke Sun Bin Xiao Dong Liu Jingdong Wang 3DV 131 4,056 0 25 Feb 2019
Simple Baselines for Human Pose Estimation and Tracking Bin Xiao Haiping Wu Yichen Wei 3DH VOT 123 1,792 0 17 Apr 2018
Integral Human Pose Regression Xiao Sun Bin Xiao Fangyin Wei Shuang Liang Yichen Wei 3DH 87 807 0 22 Nov 2017
Stacked Hourglass Networks for Human Pose Estimation Alejandro Newell Kaiyu Yang Jia Deng 3DH 119 5,032 0 22 Mar 2016