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20152019
most citedHands Deep in Deep Learning for Hand Pose Estimation

321 citations · 337 across the 4 of their papers we have counts for

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Showing 2016Show all

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cs.CV2016★ 15 cited

Training a Feedback Loop for Hand Pose Estimation

Markus Oberweger, Paul Wohlhart, Vincent Lepetit

We propose an entirely data-driven approach to estimating the 3D pose of a hand given a depth image. We show that we can correct the mistakes made by a Convolutional Neural Network…

cs.CV2016

Efficiently Creating 3D Training Data for Fine Hand Pose Estimation

Markus Oberweger, Gernot Riegler, Paul Wohlhart +1

While many recent hand pose estimation methods critically rely on a training set of labelled frames, the creation of such a dataset is a challenging task that has been overlooked s…