4 papers
SkillMoV: Mixture-of-View Routing with Prototype-Conditioned Gating for Unified Multi-View Proficiency Estimation
Edoardo Bianchi, Antonio Liotta
Estimating human proficiency from video is a key challenge for automated skill assessment, with applications in sports coaching, music pedagogy, surgical training, and workplace le…
Exploration on Demand: From Algorithmic Control to User Empowerment
Edoardo Bianchi
Recommender systems often struggle with over-specialization, which severely limits users' exposure to diverse content and creates filter bubbles that reduce serendipitous discovery…
Gate-Shift-Pose: Enhancing Action Recognition in Sports with Skeleton Information
Edoardo Bianchi, Oswald Lanz
This paper introduces Gate-Shift-Pose, an enhanced version of Gate-Shift-Fuse networks, designed for athlete fall classification in figure skating by integrating skeleton pose data…
Beyond Relevance: An Adaptive Exploration-Based Framework for Personalized Recommendations
Edoardo Bianchi
Recommender systems must balance personalization, diversity, and robustness to cold-start scenarios to remain effective in dynamic content environments. This paper introduces an ad…