The Home of Machine Learning at Leibniz University Hannover

  • Our work “Robust Shape Fitting for 3D Scene Abstraction” has been accepted for publication in the IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI).

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
Superpixels
Superpixel algorithms for computer vision applications (more...)

Leibniz AI Academy
Micro-degrees for training students and industry professionals in competencies related to the field of AI (more...)


TNT
"As an AI enthusiast pursuing a PhD, TNT provides me with an ideal opportunity to follow my passion by working in an experienced and highly motivated team under the guidance of supportive supervisors. At TNT, you will be offered enough freedom and resources to pursue your innovative ideas and shape your research in the way you want. In addition, working on challenging but interesting research questions and projects in a cooperative and supportive atmosphere here at TNT has allowed me to develop myself both personally and professionally."
Quy Le Xuan