2 citations · 2 across the 1 of their papers we have counts for
4 papers
Contrastive Representation Learning for Hand Shape Estimation
Christian Zimmermann, Max Argus, Thomas Brox
This work presents improvements in monocular hand shape estimation by building on top of recent advances in unsupervised learning. We extend momentum contrastive learning and contr…
FreiHAND: A Dataset for Markerless Capture of Hand Pose and Shape from Single RGB Images
Christian Zimmermann, Duygu Ceylan, Jimei Yang +3
Estimating 3D hand pose from single RGB images is a highly ambiguous problem that relies on an unbiased training dataset. In this paper, we analyze cross-dataset generalization whe…
3D Human Pose Estimation in RGBD Images for Robotic Task Learning
Christian Zimmermann, Tim Welschehold, Christian Dornhege +2
We propose an approach to estimate 3D human pose in real world units from a single RGBD image and show that it exceeds performance of monocular 3D pose estimation approaches from c…
Learning to Estimate 3D Hand Pose from Single RGB Images
Christian Zimmermann, Thomas Brox
Low-cost consumer depth cameras and deep learning have enabled reasonable 3D hand pose estimation from single depth images. In this paper, we present an approach that estimates 3D…