Photo: Göran BillesonThe research at the Computer Vision Laboratory (CVL) covers a wide range of topics within machine learning for computer vision and robot perception:
- Continuous-time modeling of 3D motion
- Estimation of pose and 3D structure
- Few-shot and weakly supervised learning
- Geometric deep learning
- Human and animal motion analysis
- Medical imaging
- Quantum machine learning
- Reinforcement learning
- Remote sensing
- Semi- supervised and incremental learning
- Scene flow estimation
- Uncertainty representation
- Video and semantic segmentation
- Vision for action
CVL's research has a strong focus on theory and methods, which are applied in application domains where technical systems are supposed to coexist with – and therefore predict actions of – humans, e.g. regarding self-driving cars sharing road space and interacting with humans. Other addressed application domains are monitoring of greenhouse gases, sustainable forestry, and monitoring of animals on the individual level.
Courses
Courses given by the Division of Computer Vision Laboratory
