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:
 

Show recent publications only
  • Conference Contributions
    • 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
    • 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
    • Mathis Kruse, Marco Rudolph, Dominik Woiwode, Bodo Rosenhahn
      SplatPose & Detect: Pose-Agnostic 3D Anomaly Detection
      Computer Vision and Pattern Recognition Workshops (CVPRW) , June 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
    • Patrick Glandorf*, Timo Kaiser*, Bodo Rosenhahn, (*contributed equally)
      HyperSparse Neural Networks: Shifting Exploration to Exploitation through Adaptive Regularization
      International Conference on Computer Vision Workshops (ICCVW), October 2023
    • Tom Wehrbein, Bodo Rosenhahn, Iain Matthews, Carsten Stoll
      Personalized 3D Human Pose and Shape Refinement
      International Conference on Computer Vision Workshops (ICCVW), IEEE, Paris, France, October 2023
    • Maximilian Schier, Christoph Reinders, Bodo Rosenhahn
      Learned Fourier Bases for Deep Set Feature Extractors in Automotive Reinforcement Learning
      2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), IEEE, September 2023
    • Timo Kaiser, Christoph Reinders, Bodo Rosenhahn
      Compensation Learning in Semantic Segmentation
      Computer Vision and Pattern Recognition Workshops (CVPRW) , June 2023
    • Hendrik Hachmann, Bodo Rosenhahn
      Human Spine Motion Capture using Perforated Kinesiology Tape
      Computer Vision and Pattern Recognition Workshops (CVPRW), June 2023
    • Hendrik Hachmann, Bodo Rosenhahn
      Color-aware Deep Temporal Backdrop Duplex Matting System
      MMSys '23: Proceedings of the 14th ACM Multimedia Systems Conference, June 2023
    • Marco Rudolph, Tom Wehrbein, Bodo Rosenhahn, Bastian Wandt
      Asymmetric Student-Teacher Networks for Industrial Anomaly Detection
      Winter Conference on Applications of Computer Vision (WACV), IEEE, Hawaii, USA, January 2023
    • 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
    • Yuren Cong, Jinhui Yi, Bodo Rosenhahn, Michael Yang
      SSGVS: Semantic Scene Graph-to-Video Synthesis
      Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2023
    • Thomas Norrenbrock, Marco Rudolph, Bodo Rosenhahn
      Take 5: Interpretable Image Classification with a Handful of Features
      Progress and Challenges in Building Trustworthy Embodied AI @NeurIPS, December 2022
    • Vasileios Iosifidis, Symeon Papadopulous, Bodo Rosenhahn, Eirini Ntoutsi
      AdaCC: cumulative cost-sensitive boosting for imbalanced classification
      Knowledge and Information Systems, Springer Nature, p. 38, October 2022, edited by Xindong Wu
    • 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
    • Maximilian Schier, Christoph Reinders, Bodo Rosenhahn
      Constrained Mean Shift Clustering
      Proceedings of the 2022 SIAM International Conference on Data Mining (SDM), SIAM, April 2022
    • Marco Rudolph, Tom Wehrbein, Bodo Rosenhahn, Bastian Wandt
      Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection
      Winter Conference on Applications of Computer Vision (WACV), IEEE, Hawaii, USA, January 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
    • Carolin Benjamins, Theresa Eimer, Frederik Schubert, André Biedenkapp, Bodo Rosenhahn, Frank Hutter, Marius Lindauer
      CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning
      NeurIPS 2021 Workshop on Ecological Theory of Reinforcement Learning, December 2021
    • 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
    • Martin Knura, Florian Kluger, Moris Zahtila, Jochen Schiewe, Bodo Rosenhahn, Dirk Burghardt
      Using Object Detection on Social Media Images for Urban Bicycle Infrastructure Planning: A Case Study of Dresden
      ISPRS International Journal of Geo-Information, October 2021
    • Maren Awiszus, Frederik Schubert, Bodo Rosenhahn
      World-GAN: a Generative Model for Minecraft Worlds
      IEEE Conference on Games, August 2021
    • Frederik Schubert, Theresa Eimer, Bodo Rosenhahn, Marius Lindauer
      Towards Automatic Risk Adaption in Distributional Reinforcement Learning
      Reinforcement Learning for Real Life (RL4RealLife) Workshop in the 38th International Conference on Machine Learning (ICML), July 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
    • Wentong Liao, Cuiling Lan, Michael Ying Yang, Wenjung Zeng, Bodo Rosenhahn
      Target-Tailored Source-Transformation for Scene Graph Generation
      In CVPR Workshop on Multi-Sensor Fusion for Dynamic Scene Understanding, June 2021
    • Andrea Hornakova*, Timo Kaiser*, Bodo Rosenhahn, Paul Swoboda, Roberto Henschel, (* equal contribution)
      Higher Order Multiple Object Tracking for Crowded Scenes
      Computer Vision and Pattern Recognition Workshops (CVPRW) , June 2021
    • Cheng Hao, Wentong Liao, Xuejiao Tang, Michael Ying Yang, Monika Sester, Bodo Rosenhahn
      Exploring Dynamic Context for Multi-path Trajectory Prediction
      International Conference on Robotics and Automation , May 2021
    • Hendrik Hachmann, Benjamin Krüger, Bodo Rosenhahn, Waldo Nogueira
      Localization of Cochlear Implant Electrodes from Cone Beam Computed Tomography using Particle Belief Propagation
      International Symposium on Biomedical Imaging, ISBI, April 2021
    • Marco Rudolph, Bastian Wandt, Bodo Rosenhahn
      Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows
      Winter Conference on Applications of Computer Vision (WACV), IEEE, Online, January 2021
    • He Sen, Liao Wentong, Hamed Rezazadegan Tavakoli, Michael Ying Yang, Bodo Rosenhahn, Nicolas Pugeault
      Image Captioning through Image Transformer
      Asian Conference on Computer Vision (ACCV), IEEE, Kyoto, November 2020
    • Maren Awiszus, Frederik Schubert, Bodo Rosenhahn
      TOAD-GAN: Coherent Style Level Generation from a Single Example
      AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment Best Student Paper Award , October 2020
    • Tongxin Hu, Vasileios Iosifidis, Liao Wentong, Zhang Hang, Michael Ying Yang, Eirini Ntoutsi, Bodo Rosenhahn
      FairNN - Conjoint Learning of Fair Representations for Fair Decisions
      23rd International Conference on Discovery Science, October 2020
    • Wentong Liao, Xiang Cheng, Jingfeng Yang, Stefan Roth, Michael Goesele, Michael Ying Yang, Bodo Rosenhahn
      LR-CNN: Local-aware Region CNN for Vehicle Detection in Aerial Imagery
      XXIV ISPRS Congress, International Society for Photogrammetry and Remote Sensing (ISPRS), No. 381, p. 8, Nice, September 2020, edited by N. Paparoditis, C. Mallet, F. Lafarge, F. Remondino, I. Toschi, T. Fuse
    • Hao Cheng, Wentong Liao, Yang Michael Ying, Monica Sester, Bodo Rosenhahn
      MCENET: Multi-Context Encoder Network for Homogeneous Agent Trajectory Prediction in Mixed Traffic
      23rd International Conference on Intelligent Transportation Systems (ITSC), IEEE, September 2020
    • 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, Hanno Ackermann, Michael Ying Yang, Bodo Rosenhahn
      Temporally Consistent Horizon Lines
      International Conference on Robotics and Automation (ICRA), Paris, France, June 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
    • Marc-André Dittrich, Bodo Rosenhahn, Marcus Magnor, Denkena, Malek Berend, Marco Munderloh, Marc Kassubek
      Dreaming neural networks for adaptive polishing
      20th International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2020, EUSPEN, pp. 263-266, 2020
    • Maren Awiszus, Hanno Ackermann, Bodo Rosenhahn
      Learning Disentangled Representations via Independent Subspaces
      Proceedings of the IEEE International Conference on Computer Vision Workshops (ICCVW), October 2019
    • Tongxin Hu, Wentong Liao, Michael Ying Yang, Bodo Rosenhahn
      Exploiting Attention for Visual Relationship Detection
      41th German Conference on Pattern Recognition, Dortmund, Germany, September 2019
    • Deyao Zhu, Marco Munderloh, Bodo Rosenhahn, Jörg Stückler
      Learning to Disentangle Latent Physical Factors for Video Prediction
      German Conference on Pattern Recognition (GCPR), September 2019
    • Marco Rudolph, Bastian Wandt, Bodo Rosenhahn
      Structuring Autoencoders
      Third International Workshop on “Robust Subspace Learning and Applications in Computer Vision” (ICCV), August 2019
    • 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
    • Roberto Henschel, Timo von Marcard, Rosenhahn Bodo
      Simultaneous Identification and Tracking of Multiple People using Video and IMUs
      Computer Vision and Pattern Recognition Workshops (CVPRW), June 2019
    • Roberto Henschel, Yunzhe Zou, Bodo Rosenhahn
      Multiple People Tracking using Body and Joint Detections
      Computer Vision and Pattern Recognition Workshops (CVPRW), June 2019
    • Michael Ying Yang, Wentong Liao, Xinbo Li, Yanpeng Cao, Bodo Rosenhahn
      Vehicle Detection in Aerial Images
      Photogrammetric Engineering & Remote Sensing, 2019
    • Florian Kluger, Christoph Reinders, Kevin Raetz, Philipp Schelske, Bastian Wandt, Hanno Ackermann, Bodo Rosenhahn
      Region-based Cycle-Consistent Data Augmentation for Object Detection
      2018 IEEE International Conference on Big Data, December 2018
    • Bastian Wandt, Hanno Ackermann, Bodo Rosenhahn
      A Kinematic Chain Space for Monocular Motion Capture
      ECCV Workshops, September 2018
    • 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
    • Christoph Reinders, Hanno Ackermann, Michael Ying Yang, Bodo Rosenhahn
      Object Recognition from very few Training Examples for Enhancing Bicycle Maps
      2018 IEEE Intelligent Vehicles Symposium (IV), June 2018
    • Holger Meuel, Hanno Ackermann, Bodo Rosenhahn, Jörn Ostermann
      Physical High Dynamic Range (HDR) Imaging with Conventional Sensors
      Proceedings of the 33rd Picture Coding Symposium (PCS), pp. 209-213, San Francisco, California, USA, June 2018
    • Maren Awiszus, Bodo Rosenhahn
      Markov Chain Neural Networks
      Computer Vision and Pattern Recognition Workshops (CVPRW), June 2018
    • Roberto Henschel, Laura Leal-Taixé, Daniel Cremers, Bodo Rosenhahn
      Fusion of Head and Full-Body Detectors for Multi-Object Tracking
      Computer Vision and Pattern Recognition Workshops (CVPRW), accepted as spotlight presentation, June 2018
    • Bastian Wandt, Thorsten Laude, Bodo Rosenhahn, Jörn Ostermann
      Extending HEVC with a Texture Synthesis Framework using Detail-aware Image Decomposition
      Proceedings of the Picture Coding Symposium (PCS), IEEE, San Francisco, US, June 2018
    • Bastian Wandt, Thorsten Laude, Bodo Rosenhahn, Jörn Ostermann
      Detail-aware image decomposition for an HEVC-based texture synthesis framework
      Data Compression Conference (DCC), March 2018
    • Sukhpreet Khangura, Fidler Markus, Bodo Rosenhahn
      Neural Networks for Measurement-based Bandwidth Estimation
      Networking , IEEE, March 2018
    • Michael Ying Yang, Wentong Liao, Yanpeng Cao, Bodo Rosenhahn
      Video event recognition and anomaly detection by combining gaussian process and hierarchical dirichlet process models
      Photogrammetric Engineering & Remote Sensing, 2018
    • Michael Ying Yang, Wentong Liao, Xinbo Li, Bodo Rosenhahn
      Deep Learning for Vehicle Detection in Aerial Images
      IEEE International Conference on Image Processing (ICIP), 2018
    • Bastian Wandt, Thorsten Laude, Yiqun Liu, Bodo Rosenhahn, Jörn Ostermann
      Extending HEVC Using Texture Synthesis
      IEEE Visual Communications and Image Processing (VCIP), St. Petersburg, Florida, USA, December 2017
    • Petrissa Zell, Bodo Rosenhahn
      Learning-Based Inverse Dynamics of Human Motion
      The IEEE International Conference on Computer Vision (ICCV) Workshops, pp. 842-850, October 2017
    • Florian Kluger, Hanno Ackermann, Michael Ying Yang, Bodo Rosenhahn
      Deep Learning for Vanishing Point Detection Using an Inverse Gnomonic Projection
      39th German Conference on Pattern Recognition, Springer Lecture Notes in Computer Science (LNCS), Basel, Switzerland, September 2017
    • Thiemo Alldieck, Marc Kassubeck, Bastian Wandt, Bodo Rosenhahn, Marcus Magnor
      Optical Flow-based 3D Human Motion Estimation from Monocular Video
      German Conference on Pattern Recognition (GCPR), September 2017
    • Andrey Bushnevskiy, Lorenzo Sorgi, Bodo Rosenhahn
      Feature Points Densification and Refinement
      19th International Conference on Image Analysis and Processing (ICIAP), Italy, September 2017
    • Tim Berthold, Artem Leichter, Bodo Rosenhahn, Volker Berkhahn, Jennifer Valerius
      Seabed Sediment Classification of Side-scan Sonar Data Using Convolutional Neural Networks
      IEEE Symposium Series on Computational Intelligence, IEEE, p. 8, September 2017
    • Petrissa Zell, Bastian Wandt, Bodo Rosenhahn
      Joint 3D Human Motion Capture and Physical Analysis from Monocular Videos
      The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, July 2017
    • Wentong Liao, Chun Yang, Michael Ying Yang, Bodo Rosenhahn
      Security Event Recognition for Visual Surveillance
      ISPRS Annals of Photogrammetry, Remote Sensing \& Spatial Information Sciences, Vol. 4, June 2017
    • Oliver Müller, Bodo Rosenhahn
      Global Consistency Priors for Joint Part-based Object Tracking and Image Segmentation
      IEEE Winter Conference on Applications of Computer Vision (WACV), March 2017
    • Wentong Liao, Michael Ying Yang, Ni Zhan, Bodo Rosenhahn
      Triplet-based Deep Similarity Learning for Person Re-Identification
      In ICCV Workshop on Multi-Sensor Fusion for Dynamic Scene Understanding, 2017
    • Holger Meuel, Luis Angerstein, Roberto Henschel, Bodo Rosenhahn, Jörn Ostermann
      Moving Object Tracking for Aerial Video Coding using Linear Motion Prediction and Block Matching
      Proceedings of the 32nd Picture Coding Symposium (PCS), pp. 1-5, Nuremberg, Germany, December 2016
    • Leonid German, Jens Ziehn, Bodo Rosenhahn
      Rapid Analytic Optimization of Quadratic ICP Algorithms
      The 13th Asian Conference on Computer Vision (ACCV’16) Workshops; Workshop on Mathematical and Computational Methods in Biomedical Imaging and Image Analysis (MCBMIIA2016), November 2016
    • Andrey Bushnevskiy, Lorenzo Sorgi, Bodo Rosenhahn
      Multimode Camera Calibration
      IEEE International Conference on Image Processing (ICIP), Phoenix, Arizona, USA, September 2016
    • Miriam Ruf, Jens Ziehn, Leonid German, Bodo Rosenhahn, Dieter Willersinn, Jürgen Beyerer, Heinrich Gotzig
      Lightweight, Non-invasive Collection of Steering Wheel Angles and Pedal Positions
      4th International Conference on Instrumentation, Control and Automation (ICA 2016), August 2016
    • 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
    • Erik Soltow, Bodo Rosenhahn
      Automatic Pose Estimation Using Contour Information from X-Ray Images
      Image and Video Technology – PSIVT 2015 Workshops, Springer International Publishing, March 2016, edited by Fay Huang and Akihiro Sugimoto
    • Eduardo Pérez-Pellitero, Jordi Salvador, Javier Ruiz-Hidalgo, Bodo Rosenhahn
      Half Hypersphere Confinement for Piecewise Linear Regression
      IEEE Winter Conference on Applications of Computer Vision (WACV), Lake Placid, March 2016
    • Alina Kuznetsova, Sung Ju Hwang, Bodo Rosenhahn, Leonid Sigal
      Exploiting View-Specific Appearance Similarities Across Classes for Zero-shot Pose Prediction: A Metric Learning Approach
      Conference on Artificial Intelligence (AAAI), February 2016
    • Michael Yang, Saif Al-Shaikhli, Tao jiang, Cao Yanpeng, Bodo Rosenhahn
      Bi-layer dictionary learning for remote sensing image classification
      In International Geoscience and Remote Sensing Symposium (IGARSS), 2016
    • Alina Kuznetsova, Sung Ju Hwang, Bodo Rosenhahn, Leonid Sigal
      A Metric Learning Approach for Multi-View Object Recognition and Zero-shot Pose Estimation
      IEEE International Conference on Computer Vision Workshops (ICCVW), 1st Workshop on Object Understanding for Interaction, December 2015
    • Wentong Liao, Yang Michael, Bodo Rosenhahn
      Video Event Recognition by Combining HDP and Gaussian Process
      IEEE International Conference on Computer Vision (ICCV) Workshop, pp. 19-27, Santiago, Chile, December 2015
    • Michael Yang, Matthias Reso, Jun Tang, Wentong Liao, Bodo Rosenhahn
      Temporally Object-based Video Co-Segmentation
      Advances in Visual Computing, The final publication is available at link.springer.com, Springer-Verlag, Las Vegas, NV, USA, December 2015
    • Petrissa Zell and Bodo Rosenhahn
      A physics-based statistical model for human gait analysis
      German Conference on Pattern Recognition (GCPR), October 2015
    • Matthias Reso, Jörn Jachalsky, Bodo Rosenhahn, Jörn Ostermann
      Fast Label Propagation for Real-Time Superpixels for Video Content
      IEEE International Conference on Image Processing (ICIP), Québec City, Canada, September 2015
    • Christoph Reinders, Florian Baumann, Björn Scheuermann, Arne Ehlers, Nicole Mühlpforte, Alfred O. Effenberg, Bodo Rosenhahn
      On-The-Fly Handwriting Recognition using a High-Level Representation
      The 16th International Conference on Computer Analysis of Images and Patterns (CAIP), Valetta, Malta, September 2015
    • Wentong Liao, Bodo Rosenhahn, Yang Michael
      Gaussian Process for Activity Modeling and Anomaly Detection
      International Society for Photogrammetry and Remote Sensing ISA workshop, La Grande Motte, France, September 2015
    • Miriam Ruf, Jens Ziehn, Dieter Willersinn, Bodo Rosenhahn, Jürgen Beyerer, Heinrich Gotzig
      Global Trajectory Optimization on Multilane Roads
      IEEE International Conference on Intelligent Transportation Systems (ITSC), IEEE, pp. 1908-1914, Las Palmas de Gran Canaria, Spain, September 2015
    • M. Ruf, J.R. Ziehn, D. Willersinn, B. Rosenhahn, J. Beyerer, H. Gotzig
      Comparison of Local vs. Global Optimization for Trajectory Planning in Automated Driving
      10. Workshop Fahrerassistenzsysteme (FAS), Uni-DAS e.V., September 2015
    • Michael Yang, Tao Jiang, Saif Al-Shaikhli, Bodo Rosenhahn
      A Novel Dictionary Learning Method For Remote Sensing Image Classification
      International Geoscience and Remote Sensing Symposium (IGARSS), Milan, Italy, IEEE Xplore Digital Library, July 2015
    • Michael Yang, Wentong Liao, Bodo Rosenhahn, Zheng Zhang
      Hyperspectral Image Classification Using Gaussian Process Models
      International Geoscience and Remote Sensing Symposium (IGARSS), Milan, Italy, IEEE Xplore Digital Library, July 2015
    • 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
    • Florian Baumann, Jinghui Chen, Karsten Vogt, Bodo Rosenhahn
      Improved Threshold Selection by using Calibrated Probabilities for Random Forest Classifiers
      12th Conference on Computer and Robot Vision (CRV), Halifax, Nova Scotia, Canada, June 2015
    • Bastian Wandt, Hanno Ackermann, Bodo Rosenhahn
      3D Human Motion Capture from Monocular Image Sequences
      IEEE Conference on Computer Vision and Pattern Recognition Workshops, IEEE, June 2015
    • J.R. Ziehn, M. Ruf, B. Rosenhahn, D. Willersinn, J. Beyerer, H. Gotzig
      Correspondence between Variational Methods and Hidden Markov Models
      Proceedings of the IEEE Intelligent Vehicles Symposium (IV), pp. 380-385, Seoul, Korea, June 2015
    • Florian Baumann, Karsten Vogt, Arne Ehlers, Bodo Rosenhahn
      Probabilistic Nodes for Modelling Classification Uncertainty for Random Forest
      14th IAPR International Conference on Machine Vision Applications (MVA), Tokio, Japan, May 2015
    • Kai Cordes, Mark Hockner, Hanno Ackermann, Bodo Rosenhahn, Jörn Ostermann
      WM-SBA: Weighted Multibody Sparse Bundle Adjustment
      The 14th IAPR International Conference on Machine Vision Applications (MVA), pp. 162--165, Tokyo, Japan, May 2015
    • Erik Soltow, Christof Hurschler, Bodo Rosenhahn
      Geometric bone models for marker-less RSA in total knee arthroplasty: a proof of concept
      4th International RSA Meeting, May 2015
    • Wentong Liao, Jun Tang, Bodo Rosenhahn, Micheal Ying Yang
      Integration of Gaussian Process and MRF for Hyperspectral Image Classification
      Joint Urban Remote Sensing Event, IEEE, March 2015
    • Florian Baumann, Liu Wei, Arne Ehlers, Bodo Rosenhahn
      Sequential Boosting for Learning a Random Forest Classifier
      IEEE Winter Conference on Applications of Computer Vision (WACV), Waikoloa Beach, HI, USA, January 2015
    • Michael Ying Yang, Yu Qiang, Bodo Rosenhahn
      A global-to-local framework for infrared and visible image sequence registration
      IEEE Winter Conference on Applications of Computer Vision, accpeted for publication, January 2015
    • Roberto Henschel, Laura Leal-Taixé, Rosenhahn Bodo
      Solving Multiple People Tracking In A Minimum Cost Arborescence
      IEEE Winter Conference on Applications of Computer Vision Workshops (WACVW), accepted as oral presentation, 1st Workshop on Benchmarking Multi-target Tracking (BMTT), Waikoloa Beach, Hawaii, USA, January 2015
    • Hanno Ackermann, Björn Scheuermann, Tat-Jun Chin, Bodo Rosenhahn
      Randomly Walking Can Get You Lost: Graph Segmentation with Unknown Edge Weights
      10th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), Springer Lecture Notes in Computer Sciences (LNCS), Hong Kong, China, 2015
    • Xuanyi Yong, Michael Yang, Yanpeng Cao, Bodo Rosenhahn
      Descriptor evaluation and feature regression for multimodal image analysis
      Machine Vision and Applications, 2015
    • Michael Yang, Tao Jiang, Saif Al-Shaikhli, Bodo Rosenhahn
      A novel dictionary learning method for remote sensing image classication
      In International Geoscience and Remote Sensing Symposium (IGARSS), 2015
    • Saif Al-Shaikhli, Michael Yang, Bodo Rosenhahn
      Coupled Dictionary Learning for Multi-Label Brain Tumor Segmentation in Flair MRI images
      Advances in Visual Computing - 10th International Symposium on Visual Computing (ISVC), accepted for publication (oral presentation), Lecture Notes in Computer Science (LNCS 8887),Springer International Publishing Switzerland, pp. 489-500, USA, December 2014, edited by George Bebis et al
    • Florian Baumann, Li Fangda, Arne Ehlers, Rosenhahn Bodo
      Thresholding a Random Forest Classifier
      Advances in Visual Computing - 10th International Symposium, Springer, Las Vegas, NV, USA, December 2014, edited by George Bebis et al.
    • Matthias Reso, Björn Scheuermann, Jörn Jachalsky, Bodo Rosenhahn, Jörn Ostermann
      Interactive Segmentation of High-Resolution Video Content using Temporally Coherent Superpixels and Graph Cut
      Advances in Visual Computing, The final publication is available at link.springer.com, Springer-Verlag, Las Vegas, NV, USA, December 2014
    • Arne Ehlers, Florian Baumann, Bodo Rosenhahn
      Boosted Fractal Integral Paths for Object Detection
      Advances in Visual Computing - 10th International Symposium, Springer, Las Vegas, NV, USA, December 2014, edited by George Bebis et al.
    • Matthias Reso, Jörn Jachalsky, Bodo Rosenhahn, Jörn Ostermann
      Superpixels for Video Content Using a Contour-based EM Optimization
      The 12th Asian Conference on Computer Vision (ACCV), Lecture Notes in Computer Science (LNCS), The final publication is available at link.springer.com, Springer Berlin/Heidelberg, Singapore, November 2014
    • Eduardo Pérez-Pellitero, Jordi Salvador, Iban Torres, Javier Ruiz-Hidalgo, Bodo Rosenhahn
      Fast Super-Resolution via Dense Local Training and Inverse Regressor Search
      The 12th Asian Conference on Computer Vision (ACCV), Lecture Notes in Computer Science (LNCS), Springer, Singapur, November 2014
    • Michael Ying Yang, Sitong Feng, Bodo Rosenhahn
      Sparse optimization for motion segmentation
      ACCV Workshop on Video Segmentation in Computer Vision, November 2014
    • Saif Al-Shaikhli, Michael Ying Yang, Bodo Rosenhahn
      Brain Tumor Classification Using Sparse Coding and Dictionary Learning
      IEEE International Conference on Image Processing (ICIP), accepted for publication (oral presentation)., IEEE Xplore Digital Library, pp. 2752-2756, France (Paris), October 2014
    • Florian Baumann, Irina Schulz, Bodo Rosenhahn
      Multi-Sensor Acceleration-based Action Recognition
      International Conference on Image Analysis and Recognition (ICIAR), October 2014
    • Roberto Henschel, Laura Leal-Taixé, Bodo Rosenhahn
      Efficient Multiple People Tracking Using Minimum Cost Arborescences
      German Conference on Pattern Recognition (GCPR), accepted as oral presentation, Münster, Germany, September 2014
    • Alina Kuznetsova, Bodo Rosenhahn
      On calibration of a low-cost time-of-flight camera
      IEEE European Conference on Computer Vision Workshops (ECCVW), 4rd Workshop on Consumer Depth Cameras for Computer Vision (CDC4CV), September 2014
    • Kai Cordes, Bodo Rosenhahn, Jörn Ostermann
      Localization Accuracy of Interest Point Detectors with Different Scale Space Representations
      The 11th IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS), IEEE Computer Society, pp. 247--252, Seoul, Korea, August 2014
    • Florian Baumann, Jie Liao, Arne Ehlers, Bodo Rosenhahn
      Computation Strategies for Volume Local Binary Patterns applied to Action Recognition
      11th IEEE International Conference on Advanced Video and Signal-Based Surveillance , Seoul, Korea, August 2014
    • M. Ruf, J. R. Ziehn, D. Willersinn, B. Rosenhahn, J. Beyerer, H. Gotzig
      Evaluation of an Analytic Model for Car Dynamics
      International Conference on Mechatronics and Control (ICMC), pp. 2446-2451, Jinzhou, China, July 2014
    • 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
    • Michael Ying Yang, Xuanzi Yong, Bodo Rosenhahn
      Feature Regression for Multimodal Image Analysis
      CVPR Workshop on Multi-Sensor Fusion for Outdoor Dynamic Scene Understanding, accpeted for publication, 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
    • Laura Leal-Taixé, Michele Fenzi, Alina Kuznetsova, Bodo Rosenhahn, Silvio Savarese
      Multi-target tracking with context from interaction feature strings
      SUNw: Scene Understanding Workshop at IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Columbus, Ohio, USA, June 2014
    • Florian Baumann, Jie Liao, Arne Ehlers, Bodo Rosenhahn
      Motion Binary Patterns for Action Recognition
      3rd International Conference on Pattern Recognition Applications and Methods, France, Angers Loire Valley, March 2014
    • Michael Ying Yang, Bodo Rosenhahn
      Video Segmentation with Joint Object and Trajectory Labeling
      IEEE Winter Conference on Applications of Computer Vision, IEEE, March 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
    • Alina Kuznetsova, Laura Leal-Taixé, Bodo Rosenhahn
      Real-time sign language recognition using a consumer depth camera
      IEEE International Conference on Computer Vision Workshops (ICCVW), 3rd Workshop on Consumer Depth Cameras for Computer Vision (CDC4CV), December 2013
    • Yibo Guo, Michael Ying Yang, Bodo Rosenhahn
      INTERACTIVE MULTI-OBJECT TRACKING FOR VIRTUAL OBJECT MANIPULATION
      ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, ISPRS ISA13 - Image Sequence Analysis 2013, Antalya, Turkey, November 2013
    • Arne Ehlers, Björn Scheuermann, Florian Baumann, Bodo Rosenhahn
      Cleaning Up Multiple Detections Caused by Sliding Window Based Object Detectors
      18th Iberoamerican Congress on Pattern Recognition (CIARP), Havanna, Cuba, November 2013
    • Björn Scheuermann and Sotirios Gkoutelitsas and Bodo Rosenhahn
      Multi-Sensor Fusion using Dempster's Theory of Evidence for Video Segmentation
      18th Iberoamerican Congress on Pattern Recognition (CIARP), Havanna, Cuba, November 2013
    • Saif Al-Shaikhli, Michael Ying Yang, Bodo Rosenhahn
      Medical Image Segmentation Using Multi-level Set Partitioning with Topological Graph Prior
      PSIVT 2013 Workshops, Springer Lecture Notes on Computer Sciences (LNCS), pp. 157--168,, Springer, October 2013
    • Eduardo Pérez-Pellitero, Jordi Salvador, Javier Ruiz-Hidalgo, Bodo Rosenhahn
      Bayesian region selection for adaptive dictionary-based Super-Resolution
      British Machine Vision Conference (BMVC), Bristol, September 2013
    • Christian Cordes, Hanno Ackermann, Bodo Rosenhahn
      A Low-Rank Constraint for Parallel Stereo Cameras
      Proceedings of the German Conference on Pattern Recognition (GCPR), Springer Lecture Notes on Computer Sciences (LNCS), pp. 31-40, September 2013, edited by Joachim Weickert, Matthias Hein, Bernt Schiele
    • Kai Cordes, Bodo Rosenhahn, Jörn Ostermann
      High-Resolution Feature Evaluation Benchmark
      The 15th International Conference on Computer Analysis of Images and Patterns (CAIP), Lecture Notes in Computer Science (LNCS), Springer Berlin/Heidelberg, Vol. 8047, pp. 327-334, York, UK, August 2013, edited by Richard Wilson et al.
    • Alina Kuznetsova, Bodo Rosenhahn
      Hand pose estimation from a single RGB-D image
      9th International Symposium on Visual Computing (ISVC), July 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
    • Florian Baumann, Arne Ehlers, Karsten Vogt, Bodo Rosenhahn
      Cascaded Random Forest for Fast Object Detection
      18th Scandinavian Conference on Image Analysis (SCIA), Espoo, Finland, June 2013
    • Arne Ehlers, Florian Baumann, Bodo Rosenhahn
      Exploiting Object Characteristics using Custom Features for Boosting-based Classification
      18th Scandinavian Conference on Image Analysis (SCIA), Espoo, Finland, June 2013
    • Alina Kuznetsova, Nikolaus F. Troje, Bodo Rosenhahn
      A statistical model for coupled human shape and motion synthesis
      8th International Conference on Computer Graphics Theory and Applications (GRAPP), February 2013
    • Oliver Jakob Arndt, Björn Scheuermann, Bodo Rosenhahn
      "Region Cut" - Interactive Multi-Label Segmentation Utilizing Cellular Automaton
      IEEE Workshop on Applications of Computer Vision (WACV), Clearwater Beach, Florida, USA, January 2013
    • Kai Cordes, Björn Scheuermann, Bodo Rosenhahn, Jörn Ostermann
      Learning Object Appearance from Occlusions using Structure and Motion Recovery
      The 11th Asian Conference on Computer Vision (ACCV), Lecture Notes in Computer Science (LNCS), Springer Berlin/Heidelberg, Vol. 7726, pp. 611--623, Daejeon, Korea, November 2012, edited by Kyoung Mu Lee, Jim Rehg, Yasuyuki Matsushita, and Zhanyi Hu
    • Hanno Ackermann, Bodo Rosenhahn
      Non-Rigid Self-Calibration Of A Projective Camera
      Proceedings of the 11th Asian Conference on Computer Vision (ACCV), November 2012
    • Björn Scheuermann, Markus Schlosser, Bodo Rosenhahn
      Efficient Pixel-Grouping based on Dempster's Theory of Evidence for Image Segmentation
      The 11th Asian Conference on Computer Vision (ACCV), Lecture Notes in Computer Science (LNCS), Springer Berlin/Heidelberg, Vol. 7726, Daejeon, Korea, November 2012, edited by Kyoung Mu Lee, Jim Rehg, Yasuyuki Matsushita, and Zhanyi Hu
    • 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
    • Michele Fenzi, Ralf Dragon, Laura Leal-Taixé, Bodo Rosenhahn, Jörn Ostermann
      3D Object Recognition and Pose Estimation for Multiple Objects using Multi-Prioritized RANSAC and Model Updating
      Annual Symposium of the German Association for Pattern Recognition (DAGM), accepted as oral presentation , Graz, Austria, August 2012
    • Alina Kuznetsova, Gerard Pons-Moll, Bodo Rosenhahn
      PCA-enhanced stochastic optimization methods
      34th Annual Symposium of the German Association for Pattern Recognition (DAGM), August 2012
    • 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
    • Kai Cordes, Björn Scheuermann, Bodo Rosenhahn, Jörn Ostermann
      Occlusion Handling for the Integration of Virtual Objects into Video
      The 7th International Conference on Computer Vision Theory and Applications (VISAPP), SciTePress, pp. 173--180, Rome, Italy, February 2012, edited by Gabriela Csurka and José Braz
    • 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
    • H. Ackermann, B. Rosenhahn
      Projective Reconstruction from Incomplete Trajectories by Global and Local Constraints
      The 8th European Conference on Visual Media Production (CVMP), November 2011
    • Laura Leal-Taixé, Gerard Pons-Moll, Bodo Rosenhahn
      Everybody needs somebody: modeling social and grouping behavior on a linear programming multiple people tracker
      IEEE International Conference on Computer Vision Workshops (ICCVW). 1st Workshop on Modeling, Simulation and Visual Analysis of Large Crowds, 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
    • Kai Cordes, Oliver Müller, Bodo Rosenhahn, Jörn Ostermann
      Feature Trajectory Retrieval with Application to Accurate Structure and Motion Recovery
      Advances in Visual Computing, 7th International Symposium (ISVC), Lecture Notes in Computer Science (LNCS), Springer Berlin/Heidelberg, Vol. 6938, pp. 156--167, Las Vegas, NV, USA, September 2011, edited by George Bebis et al.
    • Gerard Pons-Moll, Laura Leal-Taixé, Tri Truong, Bodo Rosenhahn
      Efficient and Robust Shape Matching for Model Based Human Motion Capture
      33rd Annual Symposium of the German Association for Pattern Recognition (DAGM) , September 2011
    • Stojan Maleschlijski, Laura Leal-Taixé, Sebastian Weiße, Alessio Di Fino, Nicholas Aldred, A. S. Clare, G. Hernán Sendra, Bodo Rosenhahn, Axel Rosenhahn
      A stereoscopic approach for three dimensional tracking of marine biofouling microorganisms
      Microscopic Image Analysis with Applications in Biology (MIAAB). Heidelberg, Germany, September 2011
    • F. R. Schmidt, H. Ackermann, B. Rosenhahn
      Multilinear Model Estimation with L2-Regularization
      33rd Annual Symposium of the German Association for Pattern Recognition (DAGM) , September 2011
    • Arne Ehlers, Florian Baumann, Ralf Spindler, Birgit Glasmacher, Bodo Rosenhahn
      PCA Enhanced Training Data for Adaboost
      Computer Analysis of Images and Patterns - 14th International Conference, CAIP 2011, Seville, Spain, August 29-31, 2011, Proceedings, Part I, Springer, Vol. 6854, pp. 410-419, August 2011
    • Ralf Dragon, Tobias Mörke, Bodo Rosenhahn, Jörn Ostermann
      Fingerprints for Machines - Optical Identification of Grinding Imprints
      33rd DAGM Symposium, August 2011
    • Björn Scheuermann and Bodo Rosenhahn
      SlimCuts: GraphCuts for High Resolution Images Using Graph Reduction
      Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), July 2011
    • Kai Cordes, Oliver Topic, Manuel Scherer, Carsten Klempt, Bodo Rosenhahn, Jörn Ostermann
      Classification of Atomic Density Distributions using Scale Invariant Blob Localization
      Image Analysis and Recognition, 8th International Conference (ICIAR), Lecture Notes in Computer Science (LNCS), Springer Berlin/Heidelberg, Vol. 6753, pp. 161--172, Burnaby, BC, Canada, June 2011, edited by Mohamed Kamel and Aurélio Campilho
    • Björn Scheuermann and Arne Ehlers and Hamon Riazy and Florian Baumann and Bodo Rosenhahn
      Ego-Motion Compensated Face Detection on a Mobile Device
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops; The Seventh IEEE Workshop on Embedded Computer Vision (ECVW2011), June 2011
    • Kai Cordes, Bodo Rosenhahn, Jörn Ostermann
      Increasing the Accuracy of Feature Evaluation Benchmarks Using Differential Evolution
      IEEE Symposium Series on Computational Intelligence (SSCI) - IEEE Symposium on Differential Evolution (SDE), IEEE Computer Society, Paris, France, April 2011
    • Björn Scheuermann and Bodo Rosenhahn
      Interactive Image Segmentation Using Level Sets and Dempster-Shafer Theory of Evidence
      Scandinavian Conference on Image Analysis, Springer, Heidelberg, Vol. 6688, pp. 656--665, 2011, edited by Anders Heyden and Fredrik Kahl
    • Kai Cordes, Oliver Müller, Bodo Rosenhahn, Jörn Ostermann
      Bivariate Feature Localization for SIFT Assuming a Gaussian Feature Shape
      Advances in Visual Computing, 6th International Symposium (ISVC), Lecture Notes in Computer Science (LNCS), Springer Berlin/Heidelberg, Vol. 6453, pp. 264--275, Las Vegas, NV, USA, November 2010, edited by George Bebis et al.
    • Florian Baumann, Katharina Ernst, Arne Ehlers, Bodo Rosenhahn
      Symmetry Enhanced Adaboost
      Advances in Visual Computing - 6th International Symposium, Springer, Vol. 6453, pp. 286--295, Las Vegas, NV, USA, November 2010, edited by George Bebis et al.
    • Hanno Ackermann, Bodo Rosenhahn
      A Linear Solution to 1-Dimensional Subspace Fitting under Incomplete Data
      Asian Conference on Computer Vision, Queenstown, New Zealand, November 2010
    • 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
    • Andreas Baak, Thomas Helten, Meinard Müller, Gerard Pons-Moll, Bodo Rosenhahn, Hans-Peter Seidel
      Analyzing and Evaluating Markerless Motion Tracking Using Inertial Sensors
      European Conference on Computer Vision (ECCV Workshops), September 2010
    • Sabine Donner, Frank Witte, Ivonne Bartsch, Bodo Rosenhahn, Holger Lubatschowski, Alexander Heisterkamp, Alexander Krüger
      In vivo optical coherence tomography of percutaneous implants in hairless mice
      Jahrestagung der Deutschen Gesellschaft für Biomedizinische Technik, Rostock, August 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, Hanno Ackermann, Bodo Rosenhahn, Thorsten Thormählen, Hans-Peter Seidel
      Multilinear Pose and Body Shape Estimation of Dressed Subjects from Image Sets
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE Computer Society, San Francisco, USA, June 2010
    • Jens Göpfert, Franz Rottensteiner, Christian Heipke, Yasin Alakese, Bodo Rosenhahn
      Constraint Energies for the Adaption of 2D River Borderlines to Airborne Laserscanning Data Using Snakes
      Joint International Conference on Theory, Data Handling and Modelling in GeoSpatial Information Science (JIC-TDHM-GIS), Hong Kong, May 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
    • Karsten Vogt, Björn Scheuermann, Christian Becker, Torsten Büschenfeld, Bodo Rosenhahn, Jörn Ostermann
      Automated Extraction of Plantations from Ikonos Satellite Imagery using a Level Set Based Segmentation Method
      ISPRS Technical Commission VII Symposium, International Society for Photogrammetry and Remote Sensing, Vol. 38, No. 7, pp. 275-280, 2010
    • Laura Leal-Taixé, Matthias Heydt, Sebastian Weiße, Axel Rosenhahn, Bodo Rosenhahn
      Classification of swimming microorganisms motion patterns in 4D digital in-line holography data
      32nd Annual Symposium of the German Association for Pattern Recognition (DAGM), Springer, Vol. 6376, pp. 283-292, 2010
    • Tobias Feldmann, Björn Scheuermann, Bodo Rosenhahn, Annika Wörner
      N-View Human Silhouette Segmentation in Cluttered, Partially Changing Environments
      DAGM 2010,32nd Annual Symposium of the German Association for Pattern Recognition, Springer, Vol. 6376, pp. 363-372, Darmstadt, 2010, edited by Michael Goesele and Stefan Roth and Arjan Kuijper and Bernt Schiele and Konrad Schindler
    • Björn Scheuermann and Bodo Rosenhahn
      Feature quarrels: The Dempster-Shafer Evidence Theory for Image Segmentation Using a Variational Framework
      Asian Conference on Computer Vision (ACCV), Part II, LNCS , Springer-Verlag, Berlin Heidelberg, Vol. 6493, pp. 426-439, Queenstown, New Zealand, 2010, edited by R. Kimmel and R. Klette and A. Sugimoto
    • Laura Leal-Taixé, Matthias Heydt, Axel Rosenhahn, Bodo Rosenhahn
      Automatic tracking of swimming microorganisms in 4D digital in-line holography data
      IEEE Workshop on Motion and Video Computing (WMVC), Snowbird, Utah, USA., December 2009
    • Gerard Pons-Moll, Bodo Rosenhahn
      Ball Joints for Marker-less Human Motion Capture
      IEEE Workshop on Applications of Computer Vision (WACV), Snow Bird, Utah, USA, December 2009
    • Christian Kurz, Thorsten Thormählen, Bodo Rosenhahn, Hans-Peter Seidel
      Exploiting Mutual Camera Visibility in Multi-Camera Motion Estimation
      5th International Symposium on Visual Computing, Lecture Notes in Computer Science (LNCS), Springer, Las Vegas, USA, November 2009
    • Björn Scheuermann, Bodo Rosenhahn
      Analysis of Numerical Methods for Level Set Based Image Segmentation
      Advances in Visual Computing, 5th International Symposium, ISVC 2009, Las Vegas, NV, USA, November 30 - December 2, 2009, Proceedings, Part II , Springer, Vol. 5876, pp. 196-207, Las Vegas, Nevada, USA, November 2009, edited by George Bebis and Richard D. Boyle and Bahram Parvin and Darko Koracin and Yoshinori Kuno and et al.
    • Christian Schmaltz, Bodo Rosenhahn, Thomas Brox, Joachim Weickert
      Localised Mixture Models in Region-based Tracking
      31. DAGM Symposium , Springer, Jena, Germany, September 2009
    • Ralf Dragon, Christian Becker, Bodo Rosenhahn, Jörn Ostermann
      Reading from Scratch -- A Vision-System for Reading Data on Micro-Structured Surfaces
      31. DAGM Symposium, Lecture Notes in Computer Science, Springer, Vol. 5748, pp. 402--411, Jena, Germany, September 2009, edited by Joachim Denzler and Gunther Notni and Herbert Süße
    • Gerard Pons-Moll, Gilead Tadmor, Rob S. MacLeod, Bodo Rosenhahn, Dana H. Brooks
      4D Cardiac Segmentation of the Epicardium and Left Ventricle
      World Congress of Medical Physics and Biomedical Engineering, Munich (Germany), September 2009
    • 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
    • Gerard Pons-Moll, Cano Crosas, Gilead Tadmor, Rob MacLeod, Bodo Rosenhahn, Dana Brooks
      Parametric Modeling of the Beating Heart with Respiratory Motion Extracted from Magnetic Resonance Images
      IEEE Computers in Cardiology (CINC), Park City, Utah, USA, September 2009
    • Nader Vasconcelos, Bodo Rosenhahn
      Data-Parallel Formulation for Bipartite Graph Matching Computation on GPU
      Energy Minimization Methods in Computer Vision and Pattern Recognition 2009 (EMMCVPR), Springer, Heidelberg, August 2009
    • Henning Zimmer, Andres Bruhn, Joachim Weickert, Levi Valgaerts, Augustin Salgado, Bodo Rosenhahn, Hans-Peter Seidel
      Complementary Optic Flow
      Energy Minimization Methods in Computer Vision and Pattern Recognition 2009 (EMMCVPR), Springer, August 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
    • Kai Cordes, Oliver Müller, Bodo Rosenhahn, Jörn Ostermann
      HALF-SIFT: High-Accurate Localized Features for SIFT
      The 22nd IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Workshop on Feature Detectors and Descriptors: The State Of The Art and Beyond, IEEE Computer Society, pp. 31--38, Miami, FL, 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
    • Laura Leal-Taixé, Ahmet U. Coskun, Bodo Rosenhahn, Dana H. Brooks
      Automatic segmentation of arteries in multi-stain histology images
      World Congress on Medical Physics and Biomedical Engineering, Munich (Germany), September 7th-12th, 2009
    • H. Zimmer, A. Bruhn, L. Valgaerts, M. Breuß, J. Weickert, B. Rosenhahn, H.-P. Seidel
      PDE-Based Anisotropic Disparity-Driven Stereo Vision
      Vision, Modeling, and Visualization (VMV), October 2008
    • 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, C. Schmaltz, T. Brox, H.-P. Seidel
      Staying Well Grounded in Markerless Motion
      Pattern Recognition 2008, DAGM , Springer Verlag, Berlin Heidelberg, pp. 3385-395, 2008, edited by Rigoll
    • M. Mueller, B. Demuth, B. Rosenhahn
      An Evolutionary Approach for Learning Motion Class Patterns
      Pattern Recognition 2008, DAGM , Springer-Verlag, Berlin Heidelberg, pp. 365-374, 2008, edited by Rigoll
    • J. Gall, B. Rosenhahn, S. Gehrig, H.-P. Seidel
      Model-based Motion Capture for Crash Test Video Analysis
      Pattern Recognition 2008, DAGM, Springer-Verlag, Berlin Heidelberg, pp. 92-101, 2008, edited by Rigoll
    • C. Schmaltz, B. Rosenhahn, T. Brox, J. Weickert, L. Wietzke, G. Sommer
      Dealing with Self-occlusion in Region Based Motion Capture by Means of Internal Regions
      5th International Conf. on Articulated Motion and Deformable Objects AMDO, Mallorca, Spain, Springer-Verlag, Berlin Heidelberg, 2008
    • B. Rosenhahn, T. Brox, D. Cremers, H.-P. Seidel
      Modeling and Tracking Line-Constrained Mechanical Systems
      2nd. Workshop on Robot Vision, Springer-Verlag, Berlin Heidelberg, pp. 98-110, 2008, edited by Sommer, G.; Klette, R.
    • Dong Han, Bodo Rosenhahn, Joachim Weickert, Hans-Peter Seidel
      Combined Registration Methods for Pose Estimation
      International Symposium on Visual Computing (ISVC), ISVC, pp. 913-924, 2008
    • N. Hasler, B. Rosenhahn, M. Asbach, J.-R. Ohm, H.-P. Seidel
      An Analysis-by-Synthesis Approach to Tracking of Textiles
      Proc. Workshop on Motion and Video Computing, IEEE, Austin, Texas, February 2007
    • 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
      Nonparametric Density Estimation with Adaptive Anisotropic Kemels for Human Motion Tracking
      2nd. Workshop on Human Motion, Springer-Verlag, Berlin Heidelberg, pp. 152-165, 2007, edited by Elgammal, A.; Rosenhahn, B. ; Klette, R.
    • M. Sunkel, B. Rosenhahn, H.-P. Seidel
      Silhouette Based Generic Model Adaption for Marker-Less Motion Capturing
      2nd. Workshop on Human Motion, Springer-Verlag, Berlin Heidelberg, pp. 119-135, Heidelberg, 2007, edited by Elgammal A.; Rosenhahn B.; Klette R
    • B. Rosenhahn, T. Brox, D. Cremers, H.-P. Seidel
      Online Smoothing for Markerless Motion Capture
      Pattern Recognition 2007, DAGM, Springer-Verlag, Berlin Heidelberg, pp. 163-172, Heidelberg, 2007, edited by Hamprecht, F.A.; Schnoerr, C.; Jaehne, B.
    • J. Gall, B. Rosenhahn, H.-P. Seidel
      Clustered Stochastic Optimization for Object-Recognition and Pose Estimation
      Pattern Recognition 2007, DAGM, Springer-Verlag, Berlin Heidelberg, pp. 32-41, Heidelberg, 2007, edited by Hamprecht F.A.; Schnoerr C.; Jaehne ;
    • C. Schmaltz, B. Rosenhahn, T. Brox, D. Cremers, J. Weickert, L. Wietzke, G. Sommer
      Occlusion Modeling by Tracking Multiple Objects
      Pattern Recognition 2007, DAGM, Springer-Verlag, Berlin Heidelberg, pp. 173-183, Heidelberg, 2007, edited by Hamprecht, F.A.; Schnoerr, C.; Jaehne ,B.
    • N. Hasler, B. Rosenhahn, H.-P. Seidel
      Reverse Engineering Garments
      Mirage 2007 - Computer Vision/Computer Graphics Collaboration Techniques and Applications, Springer Verlag, Rocquencourt, France, 2007
    • C. Schmaltz, B. Rosenhahn, T. Brox, D. Cremers, J. Weickert, L. Wietzke, G. Sommer
      Region-based Pose Tracking
      IbPRIA, Proc. 3rd Iberian Conference on Pattern Recognition and Image Analysis, Springer Verlag, pp. 56-63, Girona, Spain, 2007, edited by Marti, J.; Benedi, M.; Mendonca, A. M.
    • U. Kersting, B. Rosenhahn, H.-P. Seidel, R. Klette
      Tracking human motion without markers - opportunities for field testing in sports
      5th. World Congress of Biomechanics, München, July 2006
    • T. Brox, B. Rosenhahn, U. Kersting, D. Cremers
      Nonparametric Density Estimation for Human Tracking
      Pattern Recognition 2006, DAGM, Springer-Verlag, Berlin Heidelberg, pp. 546-555, Berlin, 2006, edited by Franke, K.; Mueller, R.;Nickolay, B.; Schaefer, R.
    • J. Gall, B. Rosenhahn, H.-P. Seidel
      Robust Pose Estimation with 3D Textured Models
      Pacific-Rim Symposium on Image and Video Technology (PSIVT), Springer-Verlag, Berlin Heidelberg, pp. 84-95, Taiwan, 2006, edited by Chang, L.-W.; Lie, W.-N.
    • J. Gall, B. Rosenhahn, T. Brox, U. Kersting, H.-P. Seidel
      Learning for multiview 3D tracking in the context of particle filters
      International Symposium on Visual Computing (ISVC), Springer-Verlag, Berlin Heidelberg, pp. 59-69, Berlin, 2006, edited by Bebis; Boyle; Parvin; Koracin; Remagnino; Nefian; Meenakshisundaram; Pascucci; Zara; Molineros; Thei
    • L. Gang, R. Klette, B. Rosenhahn
      Collinearity and Coplanarity Contraints for Structure from Motion
      Pacific-Rim Symposium on Image and Video Technology (PSIVT), Springer-Verlag, Berlin Heidelberg, pp. 13-23, Taiwan, 2006, edited by Chang, L.-W.; Lie, W.-N.
    • Y. Zhao, R. Valkenburg, R. Klette, B. Rosenhahn
      Target Calibration and Tacking Using Conformal Geometric Algebra
      Pacific-Rim Symposium on Image and Video Technology (PSIVT), Springer-Verlag, Berlin Heidelberg, pp. 74-83, Taiwan, 2006, edited by Chang, L.-W.; Lie, W.-N.
    • N. Hasler, M. Asbach, B. Rosenhahn, J.-R. Ohm, H.-P. Seidel
      Physically Based Tracking of Cloth
      Vision Modeling and Visualization (VMV), Aachen, 2006
    • B. Rosenhahn, T. Brox, D. Cremers, H.-P. Seidel
      A Comparison of Shape Matching Methods for Contour Based Pose Estimation
      11th International Workshop on Combinatorial Image Analysis (IWCIA), Springer-Verlag, Berlin Heidelberg, pp. 263-276, 2006, edited by Reulke, R.; Eckhardt, U.; Flach, B.; Knauer, U.; Polthier, K.
    • 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, U.G. Kersting, Katie Powell, Hans Peter Seidel
      Cloth X-Ray: MoCap of People Wearing Textiles
      Pattern Recognition 2006, DAGM, Springer-Verlag, Berlin Heidelberg, pp. 495-504, 2006, edited by Mueller, F., Nickolay, B.; Schaefer, R.
    • U. Kersting, B. Rosenhahn, D. Smith, J. Gurney, R. Klette
      Silhouette-based human motion estimation
      Proceedings 3rd. Int. Biomechanics of the Lower Limb in Health Disease and Rehabilitation, pp. 78-79, University of Salford, UK, September 2005
    • B. Rosenhahn, U. Kersting, D. Smith, J. Gurney, T. Brox, R. Klette
      A system for marker-less human motion estimation
      Pattern Recognition 2005, DAGM , Springer-Verlag, Berlin Heidelberg, pp. 230-237, Wien, 2005, edited by Kropatsch, M.; Sablatnig, R.; Hanbury, A.
    • T. Brox, B. Rosenhahn, J. Weickert
      Three-Dimensional Shape Knowledge for Joint Image Segmentation and Pose Estimation
      Pattern Recognition 2005, DAGM, Springer-Verlag, Berlin Heidelberg, pp. 109-116, Wien, 2005, edited by Kropatsch, W.; Sablatnig; R.; Hanbury, A.
    • B. Rosenhahn, L. He, R. Klette
      Automatic human model generation
      Computer Analysis of Images and Patterns 2005, CAIP, Springer-Verlag, Berlin Heidelberg, pp. 41-48, Paris, 2005, edited by A. Gagalowicz; W. Philips
    • G. Yuan, J. Russell, R. Klette, B. Rosenhahn, S. Stones-Havas
      Understanding Tracks of Different Species of Rats
      In Proc. Int. Conf. Image and Vision Computing 2005 (IVCNZ), pp. 493-499, Dunedin, New Zealand, 2005, edited by McCane, B.
    • X. Wang, R. Klette, B. Rosenhahn
      Geometric Correction of Projected Rectangular Pictures
      In Proc. Int. Conf. Image and Vision Computing 2005 (IVCNZ), pp. 223-228, Dunedin, New Zealand, 2005, edited by McCane, B.
    • B. Rosenhahn, H. Ho, R. Klette
      Texture driven pose estimation
      International Conference on Computer Graphics, Imaging and Vision cgiv, Computer Graphics, Imaging and Visualization, IEEE Computer Society, pp. 271-277., Beijing, China, 2005, edited by Sarfraz, M. ; Wand, Y.; Banissi, E.
    • G. Sommer, B. Rosenhahn, C. Perwass
      Twists - An Operational Representation of Shape
      IWMM 2004 - Computer Algebra and Geometric Algebra with Applications, Springer-Verlag, Berlin Heidelberg, pp. 278-297, 2005, edited by H. Li ; P.J. Olver; G. Sommer
    • B. Rosenhahn, R. Klette, G. Liu
      Structure from motion in the Presence of Noise
      In Proc. Int. Conf. Image and Vision Computing 2005 (IVCNZ), pp. 138-143, Dunedin, New Zealand, 2005, edited by Cane, B
    • B. Rosenhahn, R. Klette
      Geometric algebra for pose estimation and surface morphing in human motion estimation
      Tenth International Workshop on Combinatorial Image Analysis (IWCIA), Springer-Verlag Berlin Heidelberg, pp. 583-596, Auckland, New Zealand, 2004, edited by R. Klette; J. Zunic
    • B. Rosenhahn, H. Ho, R. Klette
      Block matching based 2D-3D pose estimation
      Proceedings Image and Vision Computing , Landcare Research Ltd., pp. 309-314, Akaroa, New Zealand, 2004, edited by Pariman,D.; North,H.; S. McNeill
    • B. Rosenhahn, R. Klette, G. Sommer
      Silhouette based human motion estimation
      Pattern Recognition 2004, 26th DAGM-Symposium, pp. 294-301, Tübingen, Germany, 2004, edited by Rasmussen,C.E.; Bülthoff, H.H.; Giese, M.A.; Schölkopf , B.
    • Bodo. Rosenhahn, G. Sommer
      Pose estimation of free-form objects
      Proceedings of the European Conference on Computer Vision ECCV,Part I, Springer-Verlag, Berlin Heidelberg, pp. 414-427, Prague, 2004, edited by Pajdla, T.; Matas, J.
    • N. Hasler, R. Klette, B. Rosenhahn, W. Agnew
      Footprint Recognition of Rodents and Insects
      Image and Vision Computing , Landcare Research Ltd, pp. 167-172, Akaroa, New Zealand, 2004, edited by Pariman, D.; North, H.; McNeill, S.
    • 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.
    • B. Rosenhahn, C. Perwass, G. Sommer
      Pose estimation of free-form surface models
      Pattern Recognition, 25th DAGM Symposium, Springer-Verlag, Berlin-Heidelberg, pp. 574-581, 2003, edited by Michaelis, B.; Krell, G.
    • B. Rosenhahn, C. Perwass, G. Sommer
      Modeling adaptive deformations during free-form pose estimation
      Proceedings of Computer Analysis of Images and Patterns (CAIP 2003), Springer-Verlag, Berlin Heidelberg, pp. 664-672, 2003, edited by Petkov, N.; Westenberg, M.A.
    • B. Rosenhahn, G. Sommer
      Pose estimation of cycloidal curves by using twist representations
      In Proc. 6th Int. Conference on Clifford Algebras and Applications, Application to Mathematics, Physics, and Engineering, pp. 597-612, Cookeville, TN, 2003, edited by Ablamovicz, R.
    • B. Rosenhahn, Ch. Perwass, G. Sommer
      Pose estimation of 3D free-form contours in conformal geometry
      Proceedings of Image and Vision Computing (IVCNZ), pp. 9-34, New Zealand, 2002, edited by Kenwright, D.
    • B. Rosenhahn, G. Sommer
      Adaptive pose estimation for different corresponding entities
      Pattern Recognition, 24th DAGM Symposium, Springer-Verlag, Berlin-Heidelberg, pp. 265-273, 2002, edited by Van Gool, L.
    • B. Rosenhahn, O. Granert, G. Sommer
      Monocular pose estimation of kinematic chains
      Applied Geometric Algebras for Computer Science and Engineering, Birkhäuser Verlag, pp. 373-383, 2001, edited by Dorst L.; Doran C. ; Lasenby J.
    • B. Rosenhahn, N. Krüger, T. Rabsch, G. Sommer
      Tracking with a novel pose estimation algorithm
      International Workshop on Robot Vision, Springer-Verlag, Berlin-Heidelberg, pp. 9-19, 2001, edited by Klette, R.; Peleg, S. ; Sommer, G.
    • B. Rosenhahn, G. Sommer
      Performance of constrained based pose estimation algorithms
      Mustererkennung 2000, Informatik aktuell, Springer-Verlag, Berlin-Heidelberg, pp. 277-284, 2000, edited by Krüger, N.; Perwass, Ch.
    • Y. Zhang, B. Rosenhahn, G. Sommer
      Extended Kalman filter design for motion estimation.
      Algebraic Frames for the Perception-Action Cycle, AFPAC, Springer-Verlag, Berlin-Heidelberg, pp. 39-348, 2000, edited by Sommer G. and Zeevi Y.Y.
    • B. Rosenhahn, Y. Zhang, G. Sommer
      Pose estimation in the language of kinematics
      Algebraic Frames for the Perception-Action Cycle, AFPAC, Springer-Verlag, Berlin-Heidelberg, pp. 284-293, 2000, edited by Sommer, G.; Zeevi ,Y.Y
    • B. Rosenhahn, E. Bayro-Corrochano
      Computing the intrinsic camera parameters using Pascal's theorem
      8th Int. Conference on Computer Analysis of Images and Patterns (CAIP), Springer-Verlag, Berlin-Heidelberg, pp. 427-434, Ljubljana, 1999
  • Journals
    • Frederik Schubert, Yannik Mahlau, Konrad Bethmann, Fabian Hartmann, Reinhard Caspary, Marco Munderloh, Jörn Ostermann, Bodo Rosenhahn
      Quantized Inverse Design for Photonic Integrated Circuits
      Preprint, December 2024
    • Bodo Rosenhahn, Christoph Hirche
      Quantum Normalizing Flows for Anomaly Detection
      Physical Review A, American Physical Society, Vol. 110, No. 2, p. 022443, August 2024
    • Bin Liu, Bodo Rosenhahn, Thomas Illig, David S. DeLuca
      A variational autoencoder trained with priors from canonical pathways increases the interpretability of transcriptome data
      PLOS Computational Biology, Public Library of Science, Vol. 20, No. 7, pp. 1-22, July 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
    • Jan Thieß Brockmann*, Marco Rudolph*, Bodo Rosenhahn, Bastian Wandt, (* equal contribution)
      The voraus-AD Dataset for Anomaly Detection in Robot Applications
      Transactions on Robotics, IEEE, Vol. 40, pp. 438-451, November 2023, edited by Wolfram Burgard
    • 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
    • Lutz M. K. Krause, Emily Manderfeld, Patricia Gnutt, Louisa Vogler, Ann Wassick, Kailey Richard, Marco Rudolph, Kelli Z. Hunsucker, Geoffrey W. Swain, Bodo Rosenhahn, Axel Rosenhahn
      Semantic Segmentation for Fully Automated Macrofouling Analysis on Coatings after Field Exposure
      Biofouling, Taylor & Francis, Vol. 39, No. 1, p. 64–79, March 2023, edited by Len Evans
    • Yuren Cong, Michael Yang, Bodo Rosenhahn
      RelTR: Relation Transformer for Scene Graph Generation
      IEEE transactions on pattern analysis and machine intelligence (TPAMI), 2023
    • Ilona Rosenboom, Tobias Scheithauer, Fabian C. Friedrich, Sophia Pörtner, Lisa Hollstein, Marie‑Madlen Pust, Konstantinos Sifakis, Tom Wehrbein, Bodo Rosenhahn, Lutz Wiehlmann, Patrick Chhatwal, Burkhard Tümmler, Colin F Davenport
      Wochenende - modular and flexible alignment-based shotgun metagenome analysis
      BMC Genomics, Springer Nature, November 2022
    • Maren Awiszus, Frederik Schubert, Bodo Rosenhahn
      Wor(l)d-GAN: Towards Natural Language Based PCG in Minecraft
      IEEE Transactions on Games, IEEE, February 2022, edited by Georgios Yannakakis
    • Frederik Schubert, Maren Awiszus, Bodo Rosenhahn
      TOAD-GAN: a Flexible Framework for Few-Shot Level Generation in Token-Based Games
      IEEE Transactions on Games, IEEE, March 2021, edited by Julian Togelius
    • Cheng Hao, Wentong Liao, Xuejiao Tang, Michael Ying Yang, Monika Sester, Bodo Rosenhahn
      AMENet: Attentive Maps Encoder Network for Trajectory Prediction
      ISPRS Journal of Photogrammetry and Remote Sensing, Elsevier, Vol. 172, pp. 253--266, 2021
    • Roberto Henschel, Timo von Marcard, Bodo Rosenhahn
      Accurate Long-Term Multiple People Tracking using Video and Body-Worn IMUs
      IEEE Transactions on Image Processing, IEEE, 2020
    • Lutz Krause, Julian Koc, Bodo Rosenhahn, Axel Rosenhahn
      Fully Convolutional Neural Network for Detection and Counting of Diatoms on Coatings after Short-Term Field Exposure
      Environmental Science and Technology, ACS Publications, Vol. 54, No. 16, pp. 10022-10030, 2020
    • Petrissa Zell, Bodo Rosenhahn
      Learning inverse dynamics for human locomotion analysis
      Neural Computing and Applications, Springer Nature, December 2019
    • Sukhpreet Khangura, Markus Fidler, Bodo Rosenhahn
      Machine learning for measurement-based bandwidth estimation
      Computer Communications, Elsevier, Vol. 144, pp. 18-30, August 2019
    • 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
    • Timo von Marcard, Bodo Rosenhahn
      Bewegungen erfassen mit minimalem Sensoraufwand
      Technologie Informationen 3/2018 Smarte Medizin, Arbeitskreis der Technologietransferstellen niedersächsischer Hochschulen, September 2018
    • Hendrik Hachmann, Maren Awiszus, Bodo Rosenhahn
      3D braid guide hair reconstruction using electroluminescent wires
      The Visual Computer, Springer, Vol. 34, No. 6, pp. 793-804, June 2018, edited by Nadia Magnenat-Thalmann
    • 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
    • Michael Ying Yang, Wentong Liao, Hanno Ackermann, Bodo Rosenhahn
      On support relations and semantic scene graphs
      ISPRS Journal of Photogrammetry and Remote Sensing, Elsevier, Vol. 131, pp. 15-25, July 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
    • Michael Ying Yang, Hanno Ackermann, Weiyao Lin, Sitong Feng, Bodo Rosenhahn
      Motion Segmentation via Global and Local Sparse Subspace Optimization
      Photogrammetric Engineering & Remote Sensing, 2017
    • Jochen Schlobohm, Andreas Pösch, Eduard Reithmeier, Rosenhahn Bodo
      Improving contour based pose estimation for fast 3D measurement of free form objects
      Measurement, Elsevier, Vol. 92, p. 79–82 , June 2016
    • Eduardo Pérez-Pellitero, Jordi Salvador, Javier Ruiz-Hidalgo, Bodo Rosenhahn
      Antipodally Invariant Metrics For Fast Regression-based Super-Resolution
      IEEE Transactions on Image Processing (TIP), April 2016
    • 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
    • Alfred Oliver Effenberg, Gerd Schmitz, Florian Baumann, Bodo Rosenhahn, Kroeger Daniela
      SoundScript–Supporting the Acquisition of Character Writing by Multisensory Integration
      Open Psychology Journal, Vol. 8, No. 3, pp. 230-237, 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
    • Saif Al-shaikhli, Michael Yang, Bodo Rosenhahn
      3D automatic liver segmentation using feature-constrained mahalanobis distance in CT images
      Biomedical Engineering / Biomedizinische Technik (BMT), 2016
    • Saif Al-shaikhli, Michael Yang, Bodo Rosenhan
      Brain tumor classification segmentation using sparse coding and dictionary learning
      Biomedical Engineering / Biomedi-zinische Technik (BMT), 2016
    • Michael Yang, Bodo Rosenhahn
      Superpixel cut for gure-ground image segmentation.
      In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 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
    • Saif Al-Shaikhli, Michael Yang, Bodo Rosenhahn
      3D Automatic Liver Segmentation Using Feature-Constrained Mahalanobis Distance in CT Images
      Biomedical Engineering / Biomedizinische Technik (BMT) Journal , De Gruyter, VDE, DGBMT, Karlsruhe, Germany, September 2015, edited by Olaf Dössel. (Impact Factor: 1.458)
    • Saif Al-Shaikhli, Michael Yang, Bodo Rosenhahn
      Brain Tumor Classification and Segmentation Using Sparse Coding and Dictionary Learning
      Biomedical Engineering / Biomedizinische Technik (BMT) Journal , De Gruyter, VDE, DGBMT, Karlsruhe, Germany, July 2015, edited by Olaf Dössel. (Impact Factor: 1.458)
    • Florian Baumann, Jie Liao, Arne Ehlers, Bodo Rosenhahn
      Recognizing Human Actions using novel Space-time Volume Binary Patterns
      Neurocomputing Journal (to appear), April 2015
    • HA Haenssle, L. Hofmann, M Schoen, T Werfel, A Guenther, C Basu, B Roth, K-H Niemann, O Schmerling, S Scharenberg, F Luellau, K Vogt, B Rosenhahn, M Meinhardt-Wollenweber, S Emmert
      Automated Skin Cancer-Screening with contact free" Remote-Dermatoscopy"
      JOURNAL DER DEUTSCHEN DERMATOLOGISCHEN GESELLSCHAFT, WILEY-BLACKWELL, Vol. 13, pp. 164-165, April 2015
    • Roman Grothausmann, Manuela Kellner, Marko Heidrich, Tammo Ripken Lorbeer, Heiko Meyer, Mark P. Kuehnel, Matthias Ochs, Bodo Rosenhahn
      Method for 3D Airway Topology Extraction
      Computational and Mathematical Methods in Medicine, Hindawi Publishing Corporation, Vol. 2015, p. 7, February 2015, edited by Akimasa Hirata
    • Saif Al-shaikhli, Michael Yang, Bodo Rosenhahn
      Multi-Region Labeling and Segmentation Using a Graph Topology Prior and Atlas Information in Brain Images
      Computerized Medical Imaging and Graphics Journal (CMIG), Elsevier, Vol. 38, No. 8, pp. 725-734, December 2014, edited by Stephen Wong, Ph.D., P.E. (Impact Factor: 1.588)
    • Muhammad Shoaib, Michael Ying Yang, Bodo Rosenhahn, Jörn Ostermann
      Estimating layout of cluttered indoor scenes using trajectory based priors
      Image and Vision Computing, December 2014
    • Björn Scheuermann, Bodo Rosenhahn
      Multi-Sensor Fusion for Video Segmentation
      International Journal of Pattern Recognition and Artificial Intelligence, World Scientific, Vol. 28, No. 7, p. 14, October 2014
    • Helga Henseler, Alina Kuznetsova, Peter Vogt, Bodo Rosenhahn
      Validation of the Kinect Device as a New Portable Imaging System for Three-Dimensional Breast Assessment
      Journal of Plastic, Reconstructive & Aesthetic Surgery, 2014
    • 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
    • S. Maleschlijski, G. H. Sendra, A. Di Fino, L. Leal-Taixé, I. Thome, A. Terfort, N. Aldred, M. Grunze, A. S. Clare, B. Rosenhahn, A. Rosenhahn
      Three dimensional tracking of exploratory behavior of barnacle cyprids using stereoscopy
      Biointerphases. Journal for the Quantitative Biological Interface Data., Springer, August 2012
    • Ralf Spindler, Bodo Rosenhahn, Nicola Hofmann, Birgit Glasmacher
      Video analysis of osmotic cell response during cryopreservation
      Cryobiology, Elsevier, February 2012
    • Christian Schmaltz, Bodo Rosenhahn, Thomas Brox, Joachim Weickert
      Region based pose tracking with occlusions using 3D models
      Machine Vision and Applications, 2011
    • 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
    • J. Gall, J. Potthoff, C. Schnoerr, B. Rosenhahn, H.-P. Seidel
      Interacting and Annealing Particle Filters: Mathemartics and a Recipe for Applications
      Journal of Mathematical Imaging and Vision, Springer Netherlands, Vol. 28, No. 1, pp. 1-18, May 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
    • B. Rosenhahn, T. Brox, U. Kersting, D. Smith, J. Gurney, R. Klette
      A system for marker-less human motion estimation
      Künstliche Intelligenz , pp. 45-51, 2006
    • B. Rosenhahn, Ch. Perwass, G. Sommer
      Pose Estimation of Free-form Contours
      International Journal of Computer Vision (IJCV), Springer, Netherlands, Vol. 62, No. 3, pp. 267-289, August 2005
    • B. Rosenhahn, G. Sommer
      Pose Estimation in Conformal Geometric Algebra, Part I: The stratification of mathematical spaces.
      Journal of Mathematical Imaging and Vision, Springer Verlag, Vol. 22, No. 1, pp. 27-48, January 2005
    • Bodo Rosenhahn, Gerald Sommer
      Pose Estimation in Conformal Geometric Algebra, Part II: Real-Time pose estimation using extended feature concepts
      Journal of Mathematical Imaging and Vision, Springer Verlag, Vol. 22, No. 1, pp. 49-70, January 2005
    • B. Rosenhahn, C. Perwass, G. Sommer
      CVonline: Foundations about 2D-3D Pose Estimation
      On-Line Compendium of Computer Vision , October 2004, edited by Fisher, R.
    • B. Rosenhahn, Ch. Perwass, G. Sommer
      Free-form pose estimation by using twist representations
      Algorithmica, Springer Verlag, Vol. 38, pp. 91-113, May 2004
    • B. Rosenhahn
      Pose Estimation for Visual Landmark Based Robot Navigation
      KI, No. 2, pp. 39-40, 2003
    • E. Bayro-Corrochano, B. Rosenhahn
      A Geometric Approach for the Analysis and Computation of the Intrinsic Camera Parameteres
      Elsevier, Pattern Recognition, Vol. 35, pp. 169-186, 2002
    • C. Rosenhahn, S. Hayes, B. Rosenhahn, H. Eckert
      Structural Organization of Arsenic Selenide Liquids: New Results from Liquid State NMR
      Journal of Non Crystaline Solids, Vol. 127, pp. 1-8, 2001
  • Books
    • Statistical and Geometrical Approaches to Visual Motion Analysis
      Lecture Notes in Computer Science, Springer Verlag, Vol. 5604, Castle Dagstuhl, May 2009, edited by Cremers D., Rosenhahn B., Yuille A. and Schmidt F.
    • Vision, Modeling, and Visualization
      Universität Magdeburg, Braunschweig, 2009, edited by Magnor, Marcus ; Rosenhahn, Bodo; Theisel, Holger;
    • 2nd Workshop on Human Motion - Understanding, Modelling, Capture and Animation
      Lecture Notes in Computer Science, Springer Verlag, Vol. 4814, November 2007, edited by Elgammal, A.; Rosenhahn, B.; Klette, R.
    • Vision, Modeling and Visualisation
      AKA Verlag, November 2007, edited by Lensch H.; Rosenhahn B.; Seidel H.-P.: Slusallek P.; Weickert J.
    • Human Motion - Understanding, Modelling, Capture and Animation
      Springer Verlag, Dordrecht, The Netherlands, Vol. 36, p. 633, 2007, edited by Rosenhahn, B.; Klette, R.; Metaxas, D.
    • B. Rosenhahn
      Pose Estimation Revisited
      Technical Report 0308, Christian-Albrechts-Universität, Kiel, 2003
  • Book Chapters
    • Christoph Reinders, Michael Ying Yang, Bodo Rosenhahn
      Two Worlds in One Network: Fusing Deep Learning and Random Forests for Classification and Object Detection
      Volunteered Geographic Information, Springer Nature Switzerland, 2024
    • Christoph Reinders, Hanno Ackermann, Michael Ying Yang, Bodo Rosenhahn
      Learning Convolutional Neural Networks for Object Detection with very little Training Data
      Multimodal Scene Understanding, Academic Press, 2019, edited by Michael Ying Yang, Bodo Rosenhahn and Vittorio Murino
    • Petrissa Zell, Bastian Wandt, Bodo Rosenhahn
      Physics-based Models for Human Gait Analysis
      Handbook of Human Motion, Springer International Publishing, 2018, edited by Bertram Müller, Sebastian I. Wolf
    • Stefanie Wuhrer, Leonid German, Bodo Rosenhahn
      Statistical Human Body Modeling
      Digital Representations of the Real World: How to Capture, Model, and Render Visual Reality, CRC Press, 2015, edited by Marcus A. Magnor, Oliver Grau, Olga Sorkine-Hornung, Christian Theobalt
    • Kai Cordes, Björn Scheuermann, Bodo Rosenhahn, Jörn Ostermann
      Foreground Segmentation from Occlusions using Structure and Motion Recovery
      Computer Vision, Imaging and Computer Graphics. Theory and Applications, Communications in Computer and Information Science (CCIS), Springer Berlin/Heidelberg, Vol. 359, pp. 340--353, May 2013, edited by Gabriela Csurka et al.
    • Laura Leal-Taixé, Bodo Rosenhahn
      Pedestrian interaction in tracking: the social force model and global optimization methods
      Modeling, Simulation and Visual Analysis of Crowds: A multidisciplinary perspective, Springer, September 2012, edited by Saad Ali, Ko Nishino, Dinesh Manocha and Mubarak Shah
    • Laura Leal-Taixé, Gerard Pons-Moll, Bodo Rosenhahn
      Exploiting pedestrian interaction via global optimization and social behaviors
      Theoretic Foundations of Computer Vision: Outdoor and Large-Scale Real-World Scene Analysis, Springer, April 2012, edited by F. Dellaert, J.-M. Frahm, M. Pollefeys, L. Leal-Taixé, B. Rosenhahn
    • Gerard Pons-Moll, Laura Leal-Taixé, Juergen Gall, Bodo Rosenhahn
      Data-driven Manifolds for Outdoor Motion Capture
      Theoretic Foundations of Computer Vision: Outdoor and Large-Scale Real-World Scene Analysis, Springer, April 2012, edited by F. Dellaert, J.-M. Frahm, M. Pollefeys, L. Leal-Taixé, B. Rosenhahn
    • Ralf Dragon, Michele Fenzi, Wolf Siberski, Bodo Rosenhahn, Jörn Ostermann
      Towards Feature-Based Situation Assessment for Airport Apron Video Surveillance
      Theoretic Foundations of Computer Vision: Outdoor and Large-Scale Real-World Scene Analysis, April 2012
    • Laura Leal-Taixé, Matthias Heydt, Axel Rosenhahn, Bodo Rosenhahn
      Understanding what we cannot see: automatic analysis of 4D digital in-line holographic microscopy data
      Video Processing and Computational Video, Springer, July 2011, edited by D. Cremers, M.A. Magnor, M.R. Oswald, L. Zelnik-Manor
    • Gerard Pons-Moll, Bodo Rosenhahn
      Model-Based Pose Estimation
      Visual Analysis of Humans: Looking at People, Springer, June 2011, edited by T. Moeslund, A. Hilton, V. Krueger, L. Sigal
    • B. Rosenhahn, Uwe G. Kersting, K. Powell, T. Brox, Hans-Peter Seidel
      Tracking Clothed People
      Human Motion - Understanding, Modelling, Capture and Animation, Springer Verlag, Dordrecht, The Netherlands, Vol. 36, pp. 295-317, 2007, edited by Rosenhahn B.; Klette R.; Metaxas D.
    • J. Gall, B. Rosenhahn, H.-P. Seidel
      An Introduction to Interacting Simulated Annealing
      Human Motion - Understanding, Modelling, Capture and Animation, Springer Verlag, Vol. 36, pp. 319-345, 2007, edited by Rosenhahn, B.; Klette, R.; Metaxas, D.
    • T. Brox, B. Rosenhahn, Cremers D.
      Contours, Optic Flow and Prior Knowledge: Cues for Capturing 3D Human Motion in Videos
      Human Motion - Understanding, Modelling, Capture and Animation, Springer Verlag, Vol. 36, pp. 265-293, 2007, edited by Rosenhahn; B.; Klette, R.; Metaxas, D.
    • G. Sommer, B. Rosenhahn, Ch. Perwass
      The Twist Representation of Free-form Objects
      Kluwer Academic, Springer Verlag, Vol. 31, pp. 3-22, 2006, edited by Klette; Kozera; Noakes; Weickert
    • B. Rosenhahn, R. Klette, D. Metaxas
      Human Motion-Understanding, Modelling, Capture and Animation
      Dagstuhl Seminar Proceedings, Internationales Begegnungs- und Forschungszentrum fuer Informatik (IBFI, Schloss Dagstuhl, 2006
    • G. Sommer, B. Rosenhahn, Y. Zhang
      Pose estimation using geometric constraints
      Multi-Image Search and Analysis,, Springer Verlag, Heidelberg, pp. 153-170, 2001, edited by Klette; Huang; Gimmel
    • E. Bayro-Corrochano, B. Rosenhahn
      Analysis and Computation of the Intrinsic Camera Parameters
      Geometric Computing with Clifford Algebra, Geometric Computing, pp. 393-414, 2000, edited by Sommer, G.
  • Patents
    • Hanno Ackermann, Holger Meuel, Bodo Rosenhahn, Jörn Ostermann
      Verfahren und Vorrichtung zum Aufnehmen eines Digitalbildes
      Deutsches Patent und Markenamt (DPMA), pp. 1-12, patent number DPMA, Amtl. Az. 10 2017 129 77, patent application 2017-12-13, August 2020
    • J.R. Ziehn, B. Rosenhahn, M. Ruf, B. Scheuermann
      Verfahren zum Steuern eines Fahrzeugs, Vorrichtung zum Erzeugen von Steuersignalen für ein Fahrzeug und Fahrzeug
      patent application DE102013225057 A1, December 2013
  • Technical Report
    • Yannik Mahlau, Frederik Schubert, Konrad Bethmann, Reinhard Caspary, Antonio Calà Lesina, Marco Munderloh, Jörn Ostermann, Bodo Rosenhahn
      A flexible framework for large-scale FDTD simulations: open-source inverse design for 3D nanostructures
      Preprint, December 2024
    • Timo Kaiser, Lukas Ehmann, Christoph Reinders, Bodo Rosenhahn
      Blind Knowledge Distillation for Robust Image Classification
      arXiv, arXiv, November 2022
    • Christoph Reinders, Bodo Rosenhahn
      Adversarial Attacks and Defenses in Deep Learning
      We Are Developers!, 2022
    • Frederik Schubert, Theresa Eimer, Bodo Rosenhahn, Marius Lindauer
      Automatic Risk Adaptation in Distributional Reinforcement Learning
      Arxiv Preprint, June 2021
    • Christoph Reinders, Bodo Rosenhahn
      Neuronale Netze: Angriffe und Verteidigung - Ich sehe was, was du nicht siehst
      iX Developer 2020 – Machine Learning 2.0, 2020
    • Christoph Reinders and Bodo Rosenhahn
      Neural Random Forest Imitation
      arXiv, November 2019
    • Wentong Liao, Lin Shuai, Bodo Rosenhahn, Michael Ying Yang
      Natural Language Guided Visual Relationship Detection
      Conference on Computer Vision and Pattern Recognition Workshops, IEEE, 2019
    • Roberto Henschel, Laura Leal-Taixé, Daniel Cremers, Bodo Rosenhahn
      Improvements to Frank-Wolfe optimization for multi-detector multi-object tracking
      arXiv preprint, May 2017
    • Roberto Henschel, Laura Leal-Taixé, Bodo Rosenhahn, Konrad Schindler
      Tracking with multi-level features
      arXiv, July 2016
    • Saif Al-Shaikhli, Michael Yang, Bodo Rosenhahn
      Automatic 3D Liver Segmentation Using Sparse Representation of Global and Local Image Information via Level Set Formulation
      Technical Report, arXiv, Subjects: Computer Vision and Pattern Recognition (cs.CV), August 2015
    • B. Rosenhahn, U. Kersting, L. He, A. Smith, T. Brox, R. Klette, H.-P. Seidel
      A silhouette based human motion tracking system
      Technical Report, Centre for Image Technology and Robotics (CITR), , University of Auckland, Nr. CITR-TR-164., 2005
    • B. Rosenhahn, T. Brox, J. Weickert
      Three-Dimensional Shape Knowledge for Joint Image Segmentation and Pose Tracking
      Technical Report, Centre for Image Technology and Robotics (CIT, University of Auckland, Nr. CITR-TR-163., 2005
    • B. Rosenhahn, G. Sommer, R. Klette
      Pose estimation of free-form objects (Theory and Experiments)
      Technical Report, Centre for Image Technology and Robotics (CITR), , Centre for Image Technology and Robotics (CITR),, University of Auckland, 2004
    • G. Sommer, B. Rosenhahn, Ch. Perwass
      The Twist Representation of Shape
      Technical Report 0407, University Kiel , Institute of Computer Science and Mathematics., Kiel, 2004
    • B. Rosenhahn, Ch. Perwass, G. Sommer
      Pose Estimation of 3D Free-form Contours
      International Journal of Computer Vision (IJCV), Technical Report 0207, 2002
    • B. Rosenhahn, G. Sommer
      Pose Estimation in Conformal Geometric Algebra, Part 1: The stratification of mathematic spaces, Part II: Real-Time pose estimation using extended feature concepts
      Technical Report, University of Kiel, 2002
    • B. Rosenhahn, J. Lasenby
      Constraint equations for 2D-3D pose estimation in conformal geometric algebra
      Technical Report CUED/F - INFENG/TR.396, Cambridge University Engineering Department., 2000
    • G. Sommer, B. Rosenhahn, Y. Zhang
      Pose estimation using geometric constraints
      Technical Report 2003, University Kiel., 2000
    • B. Rosenhahn
      Modellierung dreidimensionaler Augenbewegungen und Berechncung der internen Kameraparameter mittels Geometrischer Algebra
      Diplomarbeit (Diploma thesis) University Kiel, 1999