AI RESEARCH
Parameter-Efficient Multi-View Proficiency Estimation: From Discriminative Classification to Generative Feedback
arXiv CS.CV
•
ArXi:2605.03848v1 Announce Type: new Estimating how well a person performs an action, rather than which action is performed, is central to coaching, rehabilitation, and talent identification. This task is challenging because proficiency is encoded in subtle differences in timing, balance, body mechanics, and execution, often distributed across multiple views and short temporal events. We discuss three recent contributions to multi-view proficiency estimation on Ego-Exo4D. SkillFormer