1 citations · 1 across the 2 of their papers we have counts for
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Parameter-Efficient Multi-View Proficiency Estimation: From Discriminative Classification to Generative Feedback
Edoardo Bianchi, Antonio Liotta
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…
ProfVLM: A lightweight video-language model for multi-view proficiency estimation
Edoardo Bianchi, Jacopo Staiano, Antonio Liotta
Most existing approaches formulate action quality assessment and skill proficiency estimation as discriminative prediction tasks, typically producing discrete labels or scores with…
PATS: Proficiency-Aware Temporal Sampling for Multi-View Sports Skill Assessment
Edoardo Bianchi, Antonio Liotta
Automated sports skill assessment requires capturing fundamental movement patterns that distinguish expert from novice performance, yet current video sampling methods disrupt the t…
SkillFormer: Unified Multi-View Video Understanding for Proficiency Estimation
Edoardo Bianchi, Antonio Liotta
Assessing human skill levels in complex activities is a challenging problem with applications in sports, rehabilitation, and training. In this work, we present SkillFormer, a param…