5 citations · 6 across the 2 of their papers we have counts for
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cs.CV2022★ 1 cited
Jointformer: Single-Frame Lifting Transformer with Error Prediction and Refinement for 3D Human Pose Estimation
Sebastian Lutz, Richard Blythman, Koustav Ghosal +3
Monocular 3D human pose estimation technologies have the potential to greatly increase the availability of human movement data. The best-performing models for single-image 2D-3D li…
cs.CV2022★ 5 cited
KinePose: A temporally optimized inverse kinematics technique for 6DOF human pose estimation with biomechanical constraints
Kevin Gildea, Clara Mercadal-Baudart, Richard Blythman +2
Computer vision/deep learning-based 3D human pose estimation methods aim to localize human joints from images and videos. Pose representation is normally limited to 3D joint positi…