Our research group is working on a range of topics in Computer Vision, Mathematical Image Processing, Robotics, Pattern Recognition and Optimization. Computer Vision is about interpreting images. More specifically the goal is to infer properties of the observed world from an image or a collection of images. Our work combines a range of mathematical domains including statistical inference, machine learning and deep neural networks, differential geometry, continuous (partial differential equations) and discrete (graph-theoretic) optimization techniques. We focus on a variety of applications such as 3D reconstruction from cameras (including RGB-D cameras) and Visual SLAM (simultaneous localization and mapping), image segmentation and denoising, optical flow and scene flow estimation, driver assistance, autonomous quadrocopters, shape matching and shape analysis, biomedical data analysis (eg protein structure prediction) and more.

Please visit our research page for more information.