3 papers
cs.CV2026
Cross-Model Distillation of a Human-Pose Foundation Model from Unannotated Infant Video for Markerless 3D Pose Estimation
R. James Cotton, Divya Joshi, Colleen Peyton
Spontaneous movement is one of the earliest windows onto an infant's neuromotor health, and structured clinical instruments that score it are validated early predictors of cerebral…
cs.CV2026
Markerless Motion Capture for Biomechanical Whole-Body Kinematic Estimation in Infants
Divya Joshi, J. D. Peiffer, Colleen Peyton +1
arly identification of motor impairment in infancy relies on expert visual assessment of spontaneous movement, motivating the development of automated, objective alternatives. One…
cs.CV2023
Dynamic Gaussian Splatting from Markerless Motion Capture can Reconstruct Infants Movements
R. James Cotton, Colleen Peyton
Easy access to precise 3D tracking of movement could benefit many aspects of rehabilitation. A challenge to achieving this goal is that while there are many datasets and pretrained…