We are interested in a broad range of topics related to visual computing, mathematical optimisation and machine learning. Some example are:

  • 3D shape analysis & geometry processing
  • correspondence and matching problems (e.g. shape matching, graph matching, assignment problems)
  • graph-based modelling of visual computing problems (axiomatic and learning-based)
  • integrating human knowledge in the form of expert-designed models and algorithms into learning systems
  • processing large collections of data (e.g. multi-graph matching, transformation synchronisation, permutation synchronisation)
  • statistical shape models & multi-shape analysis
  • various applications (e.g. in AR/VR, motion capture, 3D reconstruction, biomedicine).