Prof. Dr.-Ing. Bodo Rosenhahn
Leibniz Universität Hannover
Institut für Informationsverarbeitung
Appelstr. 9A
30167 Hannover
Germany
phone: +49 511 762-5316
fax: +49 511 762-5333
office location: room 1323

Bodo Rosenhahn studied Computer Science (minor subject Medicine) at the University of Kiel. He received the Dipl.-Inf. and Dr.-Ing. degrees from the University of Kiel in 1999 and 2003, respectively. From 10/2003 till 10/2005, he worked as post doc at the University of Auckland (New Zealand), funded with a scholarship from the German Research Foundation (DFG). In 11/2005-08/2008 he worked as senior researcher at the Max-Planck Insitute for Informatics in Saarbruecken. Since 09/2008 he is Full Professor at the Leibniz University Hannover, heading a group on automated image interpretation.

His works received several awards, including a DAGM-Prize 2002, the Dr.-Ing. Siegfried Werth Prize 2003, the DAGM-Main Prize 2005, the IVCNZ best student paper award, the DAGM-Main Prize 2007, the Olympus-Prize 2007, the ICPRAM Best student paper award 2014, the ICMC Best student paper award 2014, the WACV 2015 Challenge Award, the Günter Enderle Award (Eurographics) 2017, the CVPR 2017 Multi-Object Tracking Challenge, a special price for the Road Damage Detection Challenge at the IEEE BigData conference 2018, the TÜV-Süd Innovation award 2018, a AIIDE Best Student Paper Award 2020 and a PhysRev-A Editors Suggestion in 2023. In 2011, the European Commission awarded Bodo Rosenhahn with a EUR 1.43 million ERC-Starting Grant and in 2013 with a POC Grant. In 2019, Bodo Rosenhahn received an Erskine Fellowship for a longer research stay at the University of Canterbury. Since 2023 he is associate editor of the journal IEEE TPami, the highest ranked journal in computer science. He is head coach of the LUH AI competition team, published more than 400 research papers, journal articles and book chapters, holds more than 10 patents and edited several books. His current citations are available at google scholar.

We have profound knowledge in Computer Vision, Machine Learning or Big Data Analysis and  experience in the successful transfer to industry. We offer basic and advance training as well as consulting services and are open to any industry related challenges. Please don't hesitate to contact us.

Cooperations:
 

  • Tom Wehrbein, Marco Rudolph, Bodo Rosenhahn, Bastian Wandt
    Utilizing Uncertainty in 2D Pose Detectors for Probabilistic 3D Human Mesh Recovery
    IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), IEEE, February 2025
  • Timo Kaiser, Ulman Vladimir, Bodo Rosenhahn,
    CHOTA: A Higher Order Accuracy Metric for Cell Tracking
    European Conference on Computer Vision Workshops (ECCVW), Springer, October 2024
  • Tristan Gottwald, Maximilian Schier, Bodo Rosenhahn
    Safe Resetless Reinforcement Learning: Enhancing Training Autonomy with Risk-Averse Agents
    European Conference on Computer Vision Workshops (ECCVW), October 2024

Show all publications
  • Conference Contributions
    • Yannik Mahlau, Frederik Schubert, Bodo Rosenhahn
      Mastering Zero-Shot Interactions in Cooperative and Competitive Simultaneous Games
      Proceedings of the 41st International Conference on Machine Learning (ICML), July 2024
    • Florian Kluger, Bodo Rosenhahn
      PARSAC: Accelerating Robust Multi-Model Fitting with Parallel Sample Consensus
      AAAI, February 2024
    • Thomas Norrenbrock, Marco Rudolph, Bodo Rosenhahn
      Q-SENN: Quantized Self-Explaining Neural Networks
      AAAI Technical Track on Safe, Robust and Responsible AI, AAAI Press, Vol. 38, No. 19, pp. 21482--21491, Vancouver, Canada, February 2024, edited by Michael J. Wooldridge and Jennifer G. Dy and Sriraam Natarajan
    • Yuren Cong, Mengmeng Xu, Christian Simon, Shoufa Chen, Jiawei Ren, Yanping Xie, Juan-Manuel Perez-Rua, Bodo Rosenhahn, Tao Xiang, Sen He
      FLATTEN: optical FLow-guided ATTENtion for consistent text-to-video editing
      International Conference on Learning Representations (ICLR) , 2024
    • Maximilian Schier, Christoph Reinders, Bodo Rosenhahn
      Deep Reinforcement Learning for Autonomous Driving Using High-Level Heterogeneous Graph Representations
      2023 IEEE International Conference on Robotics and Automation (ICRA), IEEE, pp. 7147-7153, 2023
    • Bodo Rosenhahn
      Mixed Integer Linear Programming for Optimizing a Hopfield Network
      European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), Springer Nature, No. 5, p. 344–360, September 2022
    • Duy Nguyen, Roberto Henschel, Bodo Rosenhahn, Daniel Sonntag, Paul Swoboda
      LMGP: Lifted Multicut Meets Geometry Projections for Multi-Camera Multi-Object Tracking
      Computer Vision and Pattern Recognition (CVPR), IEEE, pp. 1-10, New Orleans, June 2022
    • Kaiqin Hu, Wentong Liao, Michael Yang, Bodo Rosenhahn
      Text to Image Generation with Semantic-Spatial Aware GAN
      IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, pp. 18166-18175, June 2022
    • Christoph Reinders, Frederik Schubert, Bodo Rosenhahn
      ChimeraMix: Image Classification on Small Datasets via Masked Feature Mixing
      Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (IJCAI), 2022
    • Tom Wehrbein, Marco Rudolph, Bodo Rosenhahn, Bastian Wandt
      Probabilistic Monocular 3D Human Pose Estimation with Normalizing Flows
      International Conference on Computer Vision (ICCV), IEEE, October 2021
    • Andrea Hornakova*, Timo Kaiser*, Michal Rolinek, Bodo Rosenhahn, Paul Swoboda, Roberto Henschel, (* equal contribution)
      Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths
      International Conference on Computer Vision (ICCV), IEEE, October 2021
    • Yuren Cong, Wentong Liao, Hanno Ackermann, Michael Yang Yang, Bodo Rosenhahn
      Spatial-Temporal Transformer for Dynamic Scene Graph Generation
      International Conference on Computer Vision (ICCV), July 2021
    • Bastian Wandt, Marco Rudolph, Petrissa Zell, Helge Rhodin, Bodo Rosenhahn
      CanonPose: Self-Supervised Monocular 3D Human Pose Estimation in the Wild
      Computer Vision and Pattern Recognition (CVPR), IEEE, Virtual, June 2021
    • Florian Kluger, Hanno Ackermann, Eric Brachmann, Michael Ying Yang, Bodo Rosenhahn
      Cuboids Revisited: Learning Robust 3D Shape Fitting to Single RGB Images
      CVPR, June 2021
    • Sen He, Wentong Liao, Michael Ying Yang, Yongxin Yang, Yi-Zhe Song, Bodo Rosenhahn, Tao Xiang
      Context-Aware Layout to Image Generation with Enhanced Object Appearance
      IEEE Conference on Computer Vision and Pattern Recognition, June 2021
    • Petrissa Zell, Bodo Rosenhahn, Bastian Wandt
      Weakly-supervised Learning of Human Dynamics
      European Conference on Computer Vision (ECCV), August 2020
    • Yuren Cong, Hanno Ackermann, Wentong Liao, Michael Ying Yang, Bodo Rosenhahn
      NODIS: Neural Ordinary Differential Scene Understanding
      European Conference on Computer Vision (ECCV), August 2020
    • Andrea Hornakova*, Roberto Henschel*, Bodo Rosenhahn, Paul Swoboda, (* equal contribution)
      Lifted Disjoint Paths with Application in Multiple Object Tracking
      Proceedings of the 37th International Conference on Machine Learning (ICML), July 2020
    • Florian Kluger, Eric Brachmann, Hanno Ackermann, Carsten Rother, Michael Ying Yang, Bodo Rosenhahn
      CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus
      Computer Vision and Pattern Recognition (CVPR), Seattle, WA, USA, June 2020
    • Bastian Wandt, Bodo Rosenhahn
      RepNet: Weakly Supervised Training of an Adversarial Reprojection Network for 3D Human Pose Estimation
      Computer Vision and Pattern Recognition (CVPR), IEEE, June 2019
    • Timo von Marcard, Roberto Henschel, Michael J. Black, Bodo Rosenhahn, Gerard Pons-Moll
      Recovering Accurate 3D Human Pose in The Wild Using IMUs and a Moving Camera
      European Conference on Computer Vision, September 2018
    • Eduardo Pérez-Pellitero, Jordi Salvador, Javier Ruiz-Hidalgo, Bodo Rosenhahn
      Manifold Span Reduction for Super Resolution
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR). , Las Vegas, June 2016
    • Andrey Bushnevskiy, Lorenzo Sorgi, Bodo Rosenhahn
      Multicamera Calibration from Visible and Mirrored Epipoles
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, June 2016
    • Alina Kuznetsova, Sung Ju Hwang, Bodo Rosenhahn, Leonid Sigal
      Expanding Object Detector's Horizon: Incremental Learning Framework for Object Detection in Videos
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2015
    • Laura Leal-Taixé, Michele Fenzi, Alina Kuznetsova, Bodo Rosenhahn, Silvio Savarese
      Learning an Image-based Motion Context for Multiple People Tracking
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Columbus, Ohio, USA, June 2014
    • Gerard Pons-Moll, David Fleet, Bodo Rosenhahn
      Posebits for Monocular Human Pose Estimation
      IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), IEEE, June 2014
    • Matthias Reso, Jörn Jachalsky, Bodo Rosenhahn, Jörn Ostermann
      Temporally Consistent Superpixels
      IEEE International Conference on Computer Vision (ICCV), Sydney, Australia, December 2013
    • Oliver Müller, Michael Y. Yang, Bodo Rosenhahn
      Slice Sampling Particle Belief Propagation
      IEEE International Conference on Computer Vision (ICCV), pp. 1129--1136, Sydney, Australia, December 2013
    • Michele Fenzi, Laura Leal-Taixé, Bodo Rosenhahn, Jörn Ostermann
      Class Generative Models based on Feature Regression for Pose Estimation of Object Categories
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Portland, Oregon, USA, June 2013
    • Ralf Dragon, Bodo Rosenhahn, Jörn Ostermann
      Multi-Scale Clustering of Frame-to-Frame Correspondences for Motion Segmentation
      12th European Conference on Computer Vision (ECCV 2012), Florence, October 2012
    • Oliver Müller, Sabine Donner, Tobias Klinder, Ivonne Bartsch, Alexander Krüger, Alexander Heisterkamp, Bodo Rosenhahn
      Compensating motion artifacts of 3D in vivo SD-OCT scans
      Medical Image Computing and Computer Assisted Intervention (MICCAI), Vol. 7510, pp. 198--205, October 2012, edited by Nicholas Ayache, Hervé Delingette, Polina Golland, Kensaku Mori
    • Laura Leal-Taixé, Gerard Pons-Moll, Bodo Rosenhahn
      Branch-and-price global optimization for multi-view multi-object tracking
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Providence, Rhode Island, USA., June 2012
    • Gerard Pons-Moll, Andreas Baak, Juergen Gall, Laura Leal-Taixe, Meinard Mueller, Hans-Peter Seidel, Bodo Rosenhahn
      Outdoor Human Motion Capture using Inverse Kinematics and von Mises-Fisher Sampling
      IEEE International Conference on Computer Vision (ICCV), November 2011
    • Oliver Müller, Sabine Donner, Tobias Klinder, Ralf Dragon, Ivonne Bartsch, Frank Witte, Alexander Krüger, Alexander Heisterkamp, Bodo Rosenhahn
      Model Based 3D Segmentation and OCT Image Undistortion of Percutaneous Implants
      Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011 14th International Conference, Lecture Notes in Computer Science (LNCS), Springer Berlin / Heidelberg, Vol. 6893, pp. 454-462, September 2011, edited by Fichtinger, Gabor and Martel, Anne and Peters, Terry
    • Ralf Dragon, Muhammad Shoaib, Bodo Rosenhahn, Jörn Ostermann
      NF-Features - No-Feature-Features for Representing non-Textured Regions
      11th European Conference on Computer Vision (ECCV 2010), Heraklion, Greece, September 2010
    • Gerard Pons-Moll, Andreas Baak, Thomas Helten, Meinard Müller, Hans-Peter Seidel, Bodo Rosenhahn
      Multisensor-Fusion for 3D Full-Body Human Motion Capture
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2010
    • Nils Hasler, Thorsten Thormählen, Bodo Rosenhahn, Hans-Peter Seidel
      Learning Skeletons for Shape and Pose
      ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games, Washington , February 2010
    • Andreas Baak, Bodo Rosenhahn, Meinard Mueller, Hans-Peter Seidel
      Stabilizing Motion Tracking Using Retrieved Motion Priors
      IEEE International Conference on Computer Vision (ICCV), IEEE, Kyoto, September 2009
    • Hanno Ackermann, Bodo Rosenhahn
      Trajectory Reconstruction for Affine Structure-from-Motion by Global and Local Constraints
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2009, IEEE Computer Society, pp. 2890-2897, Miami, USA, June 2009
    • Juergen Gall, Carsten Stoll, Edilson de Aguiar, Christian Theobalt, Bodo Rosenhahn, Hans-Peter Seidel
      Motion Capture Using Joint Skeleton Tracking and Surface Estimation
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Miami, USA, June 2009
    • Nils Hasler, Bodo Rosenhahn, Thorsten Thormählen, Michael Wand, Hans-Peter Seidel
      Markerless Motion Capture with Unsynchronized Moving Cameras
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Miami, USA, 2009
    • Nils Hasler, Carsten Stoll, Bodo Rosenhahn, Thorsten Thormählen, H.-P. Seidel
      Estimating Body Shape of Dressed Humans
      Shape Modeling International, Beijing, 2009
    • B. Rosenhahn, C. Schmaltz, T. Brox, J. Weickert, D. Cremers, H.-P. Seidel
      Markerless Motion Capture of Man-Machine Interaction
      IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, Alaska, 2008
    • J. Gall, B. Rosenhahn, H.-P. Seidel
      Drift-free Tracking of Rigid and Articulated Objects
      IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, Alaska, 2008
    • B. Rosenhahn, T. Brox, H.-P. Seidel
      Scaled Motion Dynamics for Markerless Motion Capture
      IEEE Conference on Computer Vision and Pattern Recognition, Minneapolis, Minnesota, USA., 2007
    • T. Brox, B. Rosenhahn, D. Cremers, H.-P. Seidel
      High Accuracy Optical Flow Serves 3-D Pose Tracking: Exploiting Contour and Flow Based Constraints
      European Conference on Computer Vision (ECCV), Part II,, Springer Verlag, Berlin-Heidelberg, pp. 98-111, 2006, edited by Leonarids, A.; Bishof ,H.; Prinz, A.
    • B. Rosenhahn, G. Sommer
      Pose estimation of free-form objects
      European Conference on Computer Vision, Springer-Verlag, Berlin Heidelberg, Vol. 127, pp. 414-427, Prague, 2004, edited by Pajdla, T.; Matas, J.
  • Journals
    • Bodo Rosenhahn, Christoph Hirche
      Quantum Normalizing Flows for Anomaly Detection
      Physical Review A, American Physical Society, Vol. 110, No. 2, p. 022443, August 2024
    • Florian Kluger, Eric Brachmann, Michael Ying Yang, Bodo Rosenhahn
      Robust Shape Fitting for 3D Scene Abstraction
      IEEE Transactions on Pattern Analysis and Machine Intelligence, March 2024
    • Bodo Rosenhahn, Tobias Osborne
      Monte Carlo Graph Search for Quantum Circuit Optimization
      Physical Review A (Editors Suggestion), American Physical Society, Vol. 108, No. 6, p. 062615, December 2023
    • Bodo Rosenhahn
      Optimization of Sparsity-Constrained Neural Networks as a Mixed Integer Linear Program
      Journal of Optimization Theory and Applications, Springer Nature, Vol. 199, No. 3, pp. 931-954, October 2023
    • Carolin Benjamins, Theresa Eimer, Frederik Schubert, Aditya Mohan, Sebastian Döhler, André Biedenkapp, Bodo Rosenhahn, Frank Hutter, Marius Lindauer
      Contextualize Me - The Case for Context in Reinforcement Learning
      Transactions on Machine Learning Research, June 2023
    • Frederik Schubert, Carolin Benjamins, Sebastian Döhler, Bodo Rosenhahn, Marius Lindauer
      POLTER: Policy Trajectory Ensemble Regularization for Unsupervised Reinforcement Learning
      Transactions on Machine Learning Research, April 2023
    • Yuren Cong, Michael Yang, Bodo Rosenhahn
      RelTR: Relation Transformer for Scene Graph Generation
      IEEE transactions on pattern analysis and machine intelligence (TPAMI), 2023
    • Matthias Reso, Jörn Jachalsky, Bodo Rosenhahn, Jörn Ostermann
      Occlusion-Aware Method for Temporally Consistent Superpixels
      IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE, Vol. 41, No. 6, pp. 1441-1454, June 2019
    • Anna Buch, Oliver Müller, Lyudmila Ivanova, Katinka Döhner, Dagmara Bialy, Jens B. Bosse, Anja Pohlmann, Anne Binz, Maike Hegemann, Claus-Henning Nagel, Martin Koltzenburg, Abel Viejo-Borbolla, Bodo Rosenhahn, Rudolf Bauerfeind, Beate Sodeik,
      Inner tegument proteins of Herpes Simplex Virus are sufficient for intracellular capsid motility in neurons but not for axonal targeting
      PLOS Pathogens, Public Library of Science, Vol. 13, No. 12, pp. 1-33, December 2017
    • Timo von Marcard, Bodo Rosenhahn, Michael Black, Gerard Pons-Moll
      Sparse Inertial Poser: Automatic 3D Human Pose Estimation from Sparse IMUs
      Computer Graphics Forum 36(2), Proceedings of the 38th Annual Conference of the European Association for Computer Graphics (Eurographics), 2017
    • Timo von Marcard, Gerard Pons-Moll, Bodo Rosenhahn
      Human Pose Estimation from Video and IMUs
      Transactions on Pattern Analysis and Machine Intelligence, IEEE, Vol. 38, No. 8, pp. 1533-1547, January 2016
    • Bastian Wandt, Hanno Ackermann, Bodo Rosenhahn
      3D Reconstruction of Human Motion from Monocular Image Sequences
      Transactions on Pattern Analysis and Machine Intelligence, IEEE, Vol. 38, No. 8, pp. 1505-1516, 2016
    • Helga Henseler, Sarah Kim Bonkat, Peter Vogt, Bodo Rosenhahn
      The kinect recording System for objective three- and fourdimensional breast assessment with image overlays
      Journal of Plastic, Reconstructive and Aesthetic Surgery, Elsevier, p. 8, October 2015
    • Ivonne Bartsch, Elmar Willbold, Bodo Rosenhahn, Witte Frank
      Non-invasive pH determination adjacent to degradable biomaterials in vivo
      Acta Biomaterialia , Elsevier, November 2013
    • Sabine Donner, Oliver Müller, Frank Witte, Ivonne Bartsch, Elmar Willbold, Tammo Ripken, Alexander Heisterkamp, Bodo Rosenhahn, Alexander Krüger
      In situ optical coherence tomography of percutaneous implant-tissue interfaces in a murine model
      Biomedical Engineering/Biomedizinische Technik, De Gruyter, pp. 1-9, Karlsruhe, May 2013, edited by Dössel, Olaf
    • Ralf Spindler, Bodo Rosenhahn, Nicola Hofmann, Birgit Glasmacher
      Video analysis of osmotic cell response during cryopreservation
      Cryobiology, Elsevier, February 2012
    • James Russel, Nils Hasler, Reinhard Klette, Bodo Rosenhahn
      Automatic track recognition of footprints for identifying cryptic species
      Ecology, ESA (Ecological Society of America), 2009
    • Nils Hasler, Carsten Stoll, Martin Sunkel, Bodo Rosenhahn, Seidel Hans-Peter
      A Statistical Model of Human Pose and Body Shape
      Computer Graphics Forum (Proc. Eurographics 2009), Munich, Germany, 2009
    • Thomas Brox, Bodo Rosenhahn, Juergen Gall, Daniel Cremers
      Combined Region- and Motion-based 3D Tracking of Rigid and Articulated Objects
      IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009
    • J. Gall, B. Rosenhahn, T. Brox, H.-P. Seidel
      Optimization and Filtering for Human Motion Capture: A Multi-layer Framework
      International Journal of Computer Vision , 2008, edited by Black, Sigal
    • B. Rosenhahn, T. Brox, J. Weickert
      Three-dimensional Shape Knowledge for Joint Image Segmentation and Pose Tracking
      International Journal of Computer Vision, Springer Verlag Netherlands, Vol. 73, No. 3, pp. 243-262, September 2007
    • B. Rosenhahn, U. Kersting, K. Powell, R. Klette, G. Klette, H.-P. Seidel
      A system for articulated tracking incorporating a clothing model
      Machine Vision and Applications, Springer Verlag, Berlin-Heidelberg, Vol. 18, No. 1, pp. 25-40, February 2007