Marius Bock

Marius Bock is a Professor at the Department of Computer Vision, University of Siegen, Germany. His research focuses on Human Activity Recognition (HAR), wearable computing, and deep learning, with a particular emphasis on sports analytics and dataset creation for real-world applications.

Research Interests:

• Human Activity Recognition (HAR)
• Wearable and egocentric video technologies
• Federated learning for fitness tracking
• Multi-modal sensor fusion
• Ethical considerations in sensor data collection
• Open science and reproducibility frameworks

Recent work trends include advancements in temporal action localization, weak annotation techniques using vision foundation models, and collaborative repositories to enhance replicability in HAR research. His publications span top venues like ISWC, UbiComp, and Frontiers in Computer Science.

Scientific Awards:

• Best Paper Award at ISWC 2021'

He contributes to the Institute for Vision and Graphics, actively developing datasets and educational materials such as tutorials on deep learning for HAR.