Student Assistant Computer Vision/Deep Learning
Posted Updated
Future. Discover. Together.
The Computer Vision & Graphics group of the Vision & Imaging Technologies (VIT) department is looking for a student assistant in the area of deep learning for scene analysis in the construction domain/synthetic data creation and transformation. The group develops AI methods for 3D model creation, plan and scene analysis in the construction sector by analyzing as-built data (plans, images, point clouds) with artificial intelligence and integrating them into a BIM-based model. Become a part of our team and join us on our journey of research and innovation!
Be part of change
- Support for the development and integration of 3D pose estimation and localization methods in the building sector
- Creation of synthetic reference datasets and the development of Python scripts for the automatic creation and annotation of training data from real building models
- Developing scripts for processing BIM and IFC data
- Testing neural networks in the building domain
- Creating interfaces between AI modules