Magnus Ibh
Visiting Researcher
Chair for Machine Learning & Computer Vision
CV
Education:
2021--Now PhD in Machine learning & Computer vision at IT University of Copenhagen
2018--2020 Master of Science in Quantum Physics at University of Copenhagen
2015--2018 Bachelor of Science in Physics at University of Copenhagen
Research interest:
- Multi-modal learning
- Human pose estimation
- Human and fine-grained action recognition & forecasting
- Self-supervised learning
About me:
A Master of Science in quantum physics currently a PhD candidate in machine learning and computer vision. My research interest lies in the intersection of deep learning, computer vision, and sports science. Specifically, my project aims to automate sports analysis using deep learning techniques, with a focus on fine-grained sports recognition in the context of badminton.
Publikationen
- Magnus Ibh, Stella Grasshof, Dan Witzner Hansen, Pascal Madeleine:
TemPose: a new skeleton-based transformer model designed for fine-grained motion recognition in badminton. CVPR Workshops 2023: 5199-5208