The Home of Machine Learning at Leibniz University Hannover

The “Institut für Informationsverarbeitung” (Institute for Information Processing) is the home of machine learning at the Leibniz University Hannover. We focus on three main research directions, namely (I) computer vision & representation learning, (II) signal processing & -coding and (III) automated machine learning. Our methods range from deep learning, automated machine learning, reinforcement learning, image analysis, remote sensing and compression of audio, image, video as well as DNA to biomedical data. Our efforts are directed towards making efficient use of multi-modal and high dimensional data for reliable predictions, ultimately supporting end-users, developers and decision makers in a vast range of applications.

Since the foundation in 1973, the institute holds a strong tradition of cultivating connections to industry partners and jointly developing solutions to automatically process and harness information. Some of the developed methodology were successfully spun-off commercially as for instance with driver assistance modules, cochlear implants or component testing. The institute is also well known for being actively involved in the standardization of MP3, MPEG-2, AVC (H.264), HEVC (H.265) as well as MPEG-G.

Do you want to join us? We have open positions.

Current Spotlight
Semantic Scene Analysis
Semantic Scene Analysis (more...)

TNT Aerial Video Testset (TAVT)
Evaluation test data set for aerial video sequences including a moving camera (more...)

"Am tnt erhalte ich für Projektarbeit & Lehre sehr viel Vertrauen, kann eigene Vorschläge einbringen und Forschung & Lehre auf diese Weise aktiv mitgestalten. Im Rahmen der Forschung genieße ich viel Gestaltungsspielraum und schätze die vielseitigen Themen hier am Institut, welche einem viele Blicke über den Tellerrand ermöglichen. Als Familienvater schätze ich außerdem die flexiblen Arbeitszeiten und das damit verbundene Verständnis."
Alexander Lange