معرفی
Magnus Ibh is a PhD fellow at IT University of Copenhagen, specializing in machine learning and computer vision applications within sports analytics. His work focuses on skeleton-based modeling for motion recognition in badminton.
- Research interests span deep learning, action research, and 3D trajectory reconstruction.
Recent research explores synthetic data for monocular video analysis and transformer models for fine-grained motion recognition. His publications (2023-2025) highlight advancements in sports forecasting accuracy through novel neural architectures.
Collaborations include partnerships with researchers like S. Graßhof and D. W. Hansen. Current work emphasizes predictive analytics and trajectory estimation in sports contexts.
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