5 citations · 11 across the 7 of their papers we have counts for
3 papers · 1 filter
Multi-hypothesis 3D human pose estimation metrics favor miscalibrated distributions
Paweł A. Pierzchlewicz, R. James Cotton, Mohammad Bashiri +1
Due to depth ambiguities and occlusions, lifting 2D poses to 3D is a highly ill-posed problem. Well-calibrated distributions of possible poses can make these ambiguities explicit a…
Transforming Gait: Video-Based Spatiotemporal Gait Analysis
R. James Cotton, Emoonah McClerklin, Anthony Cimorelli +2
Human pose estimation from monocular video is a rapidly advancing field that offers great promise to human movement science and rehabilitation. This potential is tempered by the sm…
PosePipe: Open-Source Human Pose Estimation Pipeline for Clinical Research
R. James Cotton
There has been significant progress in machine learning algorithms for human pose estimation that may provide immense value in rehabilitation and movement sciences. However, there…