activity
20202026
most citedA Primer on Motion Capture with Deep Learning: Principles, Pitfalls and Perspectives

253 citations · 377 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

From Pixels to Newtons: Predicting In Vivo Joint Contact Forces from Monocular Video

Jessy Lauer

Joint contact forces govern implant longevity, cartilage health, and rehabilitation outcomes, shaping who develops osteoarthritis, who recovers well from joint replacement, and who…

cs.CV2025

Learning golf swing signatures from a single wrist-worn inertial sensor

Jessy Lauer

Despite its importance for performance and injury prevention, golf swing analysis is limited by isolated metrics, underrepresentation of professional athletes, and a lack of rich,…

cs.HC2023★ 13 cited

AmadeusGPT: a natural language interface for interactive animal behavioral analysis

Shaokai Ye, Jessy Lauer, Mu Zhou +2

The process of quantifying and analyzing animal behavior involves translating the naturally occurring descriptive language of their actions into machine-readable code. Yet, codifyi…

cs.CV2022★ 111 cited

SuperAnimal pretrained pose estimation models for behavioral analysis

Shaokai Ye, Anastasiia Filippova, Jessy Lauer +5

Quantification of behavior is critical in applications ranging from neuroscience, veterinary medicine and animal conservation efforts. A common key step for behavioral analysis is…

cs.CV2020★ 253 cited

A Primer on Motion Capture with Deep Learning: Principles, Pitfalls and Perspectives

Alexander Mathis, Steffen Schneider, Jessy Lauer +1

Extracting behavioral measurements non-invasively from video is stymied by the fact that it is a hard computational problem. Recent advances in deep learning have tremendously adva…