41 citations · 58 across the 6 of their papers we have counts for
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cs.CV2020
EventHands: Real-Time Neural 3D Hand Pose Estimation from an Event Stream
Viktor Rudnev, Vladislav Golyanik, Jiayi Wang +4
3D hand pose estimation from monocular videos is a long-standing and challenging problem, which is now seeing a strong upturn. In this work, we address it for the first time using…
cs.CV2020
Generative Model-Based Loss to the Rescue: A Method to Overcome Annotation Errors for Depth-Based Hand Pose Estimation
Jiayi Wang, Franziska Mueller, Florian Bernard +1
We propose to use a model-based generative loss for training hand pose estimators on depth images based on a volumetric hand model. This additional loss allows training of a hand p…