When and where Weekly on Thursdays – 11:15@ZKK. Sessions will take place in person in our ZKK conference room unless stated otherwise and will be 45 min max. If you want to join online or have proposals for future topics, please contact Lisa Magdalena Weijler or Irene Ballester Campos.
Master Practical Training Project Status: not available Supervisors: Irene Ballester, Martin Kampel Problem Statement This project aims to address the challenges associated with the expensive and time-consuming annotation of 3D data by exploring a self-supervised approach for the extraction of 4D spatio-temporal features from dynamic point cloud data. Specifically, the project investigates the prediction of the … Continue reading Self-Supervised 4D Point Cloud Feature Learning for Activity Recognition
Master Practical Training Project/ Master’s thesis Status: available taken (but if you would like to work on a similar topic, contact Irene Ballester) Supervisors: Irene Ballester, Martin Kampel Problem Statement Human Activity Recognition (HAR) in computer vision, a pivotal area for healthcare, security, and robotics, often relies on privacy-invading RGB cameras. To enhance HAR accuracy while … Continue reading Human Activity Recognition from Real-World Depth Images