245 citations · 536 across the 13 of their papers we have counts for
3 papers · 1 filter
Towards human-level performance on automatic pose estimation of infant spontaneous movements
Daniel Groos, Lars Adde, Ragnhild Støen +2
Assessment of spontaneous movements can predict the long-term developmental disorders in high-risk infants. In order to develop algorithms for automated prediction of later disorde…
Prediction Intervals: Split Normal Mixture from Quality-Driven Deep Ensembles
Tárik S. Salem, Helge Langseth, Heri Ramampiaro
Prediction intervals are a machine- and human-interpretable way to represent predictive uncertainty in a regression analysis. In this paper, we present a method for generating pred…
EfficientPose: Scalable single-person pose estimation
Daniel Groos, Heri Ramampiaro, Espen A. F. Ihlen
Single-person human pose estimation facilitates markerless movement analysis in sports, as well as in clinical applications. Still, state-of-the-art models for human pose estimatio…