4 citations · 8 across the 7 of their papers we have counts for
5 papers · 1 filter
Skarimva: Skeleton-based Action Recognition is a Multi-view Application
Daniel Bermuth, Alexander Poeppel, Wolfgang Reif
Human action recognition plays an important role when developing intelligent interactions between humans and machines. While there is a lot of active research on improving the mach…
Scriboora: Rethinking Human Pose Forecasting
Daniel Bermuth, Alexander Poeppel, Wolfgang Reif
Human pose forecasting predicts future human poses from past observations for applications including action recognition, sports analysis, and human-robot interaction. However, prog…
RapidPoseTriangulation: Multi-view Multi-person Whole-body Human Pose Triangulation in a Millisecond
Daniel Bermuth, Alexander Poeppel, Wolfgang Reif
The integration of multi-view imaging and pose estimation represents a significant advance in computer vision applications, offering new possibilities for understanding human movem…
SimpleDepthPose: Fast and Reliable Human Pose Estimation with RGBD-Images
Daniel Bermuth, Alexander Poeppel, Wolfgang Reif
In the rapidly advancing domain of computer vision, accurately estimating the poses of multiple individuals from various viewpoints remains a significant challenge, especially when…
VoxelKeypointFusion: Generalizable Multi-View Multi-Person Pose Estimation
Daniel Bermuth, Alexander Poeppel, Wolfgang Reif
In the rapidly evolving field of computer vision, the task of accurately estimating the poses of multiple individuals from various viewpoints presents a formidable challenge, espec…