Welcome to the Computer Vision and Machine Learning Systems Group
We are interested in interdisciplinary research questions involving the development of novel imaging, computer vision and machine learning technologies yielding new approaches to acquire and analyse data with applications in medicine, biology, ecology, modelling, robotics and digital humanities. This requires a fundamental investigation of how computers perceive and understand complex real-world situations. By examining the entire process from data acquisition (i.e. sensing hardware) to quantitative evaluation (i.e. algorithms) we are seeking for solutions beyond classical image processing, pattern recognition and artificial intelligence methodologies. Many lessons remain to be learned to tackle the challenges of real-world data which we seek to study and reveal in the coming years to enable and build novel data-driven systems.