Vita

Research Awards and Highest Rank Journals
  • Robert Bosch Price 2018 for the thesis of Michelle Foo in our group. That work was used for the object recognition module with CNNs at the RoboCup in Nagoya and the German Open 2017.
  • Journal Award Journal of Intelligent Autonomous Systems (IJIAS) at International
    Conference on Intelligent Autonomous Systems (ICoIAS’2018), 2018.
  • Top rank journal for Multimedia Journal award for publication at Multimedia Tools Appl., 2018
  • Otto-Johansen-Price for best master thesis and paper at Journal of Computers (JCP), 2018
  • RoboCup World Championship poster award, Nagoya, Japan, 2017
  • Best Presentation Award and Journal Award at International Conference on Systems, Control and Communications (ICSCC), 2016
  • Keynote Speaker, Member of Committee and Session Chair at ICSCC
  • 1st rank journal for Computer Graphics award for publication at SIGGRAPH, 2016
  • RoboCup World Championship oral award 2016
  • Journal Award for top rank paper Journal of Computers (JoC) at International Conference on Computer Technology and Development (ICCTD), 2016
  • Best Poster Award Informatics Inside Conference for Human-Centered Computing, 2015
  • Top 10% Paper Award at IEEE International Conference on Image Processing (ICIP),
    2015
  • Best Poster Award Informatics Inside Conference for Human-Centered Computing, 2014
  • Journal Award Journal of Computer Standards & Interfaces (JCSI) at IEEE Intelligent Data Acquisition and Advanced Computing Systems (IDAACS), 2009
  • 3rd rank journal for Computer Vision award at IEEE Transactions on Image Processing (TIP), 2008
Selected Papers
  • X. Su, H. Zhou, J. Ren, M. Rätsch. Automatic identification of focus personage in multi-lingual news
    images based on optimization of deep neural networks. Multimedia Tools and Applications Journal (submitted), 2019
  • J Jing, Z. Wang, H. Zhang, M. Rätsch. Mobile-Unet: An Efficient Convolutional Neural Network for Fabric Defect Detection. Textile Research Journal (submitted), 2019.
  • T. Weber, S. Triputen, A. Gopal, S. Eißler, C. Höfert, K. Schreve and M. Rätsch. 3D Object Reconstruction based on CNN Semantic Segmentation for Efficient and Robust Monocular SLAM.
  • 23th International Symposium of the RoboCup World Championships, Lecture Notes in Artificial Intelligence (in press), 2019.
  • H. Lin, S. M. Wang et al. Numerical characteristics of gear system attractors in phase space based on G-P algorithm of correlation dimension. Journal of Mechanical Transmission (in press),2018.
  • Lin H., Zhang S. J., Matthias R., et al. Bifurcation Characteristics of Split Torque-Combine Power Gear Transmission Under Meshing Parameter Excitations. Mechanical Science and Technology for Aerospace Engineering (in press),2018.
  • Lin H., Wang S. M., Matthias R., et al. Investigation on parameter perturbation and trajectory deviation of nonlinear chaos control in gear-bearing system. Journal of Vibration and Shock (under review),2019.
  • G. Quanli, G. Ling, J. Ren, J. Zheng, M. Rätsch. A Context-aware Recommendation Algorithm Based on Multi-view Learning. International Journal of Distributed Sensor Networks (submitted), 2018.
  • T. Li, T. Xue, B. Wang, J. Zhang, M. Rätsch. Decoding hand voluntary movement based on analysis of brain connectivity using EEG signals. Computational Intelligence and Neuroscience (submitted), 2017.
  • J. Kittler, W. P. Koppen, P. Kopp, P. Huber, M. Rätsch. Conformal mapping of a 3D face representation onto a 2D image for CNN based face recognition. 11th International Conference on Biometrics, (ICB 2018, ISBN: 978-1-5386-4285-6), pp. 124-131, Australia, 2018.
  • Z. Feng , P. Huber, J. Kittler, P. Hancock, X. Wu, Q. Zhao, P. Koppen, M. Rätsch. Evaluation of Dense 3D Reconstruction from 2D Face Images in the Wild. 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018, ISBN: 978-1-5386-2335-0), pp. 780-786, Xi'an, China, 2018.
  • S. Triputen, A. Gopal, T. Weber, C. Höfert, K. Schreve and M. Rätsch. Methodology to analyze the accuracy of 3D objects reconstructed with collaborative robot based monocular LSD-SLAM. International Conference on Intelligent Autonomous Systems (ICoIAS’2018), pp. 181-186 (ISBN:
    978-1-5386-6329-5), Singapore, 2018. (journal award)
  • T. X.-J. Zhu, H. Lu, M. Rätsch. An interactive clothing design and personalized virtual display system. Multimedia Tools Appl. Springer, (ISSN 1380-7501), 77(20): 27163-27179, 2018. (top rank journal)
  • X. Su, H. Zhou, V. P. Draghicic, M. Rätsch. Face naming in news images via Multiple Instance Learning and Hybrid Recurrent Convolutional Neural Network. JOURNAL OF ELECTRONIC IMAGING, 27(3), 033036), 2018.
  • M. Jasch, T. Weber, M. Rätsch. Fast and Robust RGB-D Scene Labeling for Autonomous Driving, 2nd International Conference on Systems, Control and Communications (ICSCC), Journal of Computers (JCP), vol.13(4), pp. 393-400, (ISSN: 0254-4164). Bangkok, 2016 and San Bernardino, CA, 2018. (journal award, keynote speech, otto-johansen-price)
  • T. Weber, S. Triputen, M. Danner, S. Braun, K. Schreve, M. Rätsch. Follow Me: real-time in the wild Person Tracking Application for Autonomous Robotics, 21th International Symposium of the RoboCup World Championships 2017, Lecture Notes in Artificial Intelligence (LNAI, ISSN 978-3-
    030-00307-4), vol. 11175, pp. 156–167, 2018
  • L. Schneider, M. Jasch, B. Fröhlich, T. Weber, U. Franke, M. Pollefeys, M. Rätsch. Multimodal Neural Networks: RGB-D for Semantic Segmentation and Object Detection. Image Analysis. SCIA 2017. Lecture Notes in Computer Science, vol. 10269, pp. 98-109. Springer, Cham. 2017
  • K. Schreve, P. G. du Plessiers, M. Rätsch. Localisation Accuracy of Semi-dense Monocular SLAM. Proc. SPIE 10332, Videometrics, Range Imaging, and Applications XIV, 103320H, Munich, 2017
  • P. Huber, W. Christmas, J. Kittler, P. Kopp, M. Rätsch. Real-time 3D Face Fitting and Texture Fusion on In-the-wild Videos, IEEE Signal Processing Letters (Print ISSN: 1070-9908, Online ISSN: 1558-2361), 2016.
  • M. Grupp, P. Kopp, P. Huber, M. Rätsch. A 3D Face Modelling Approach for Pose-Invariant Face Recognition in a Human-Robot Environment, 20th International Symposium of the RoboCup World Championships 2016, Lecture Notes in Artificial Intelligence (LNAI, ISBN 978-3-319-68792-6), RoboCup 2016: Robot World Cup XX , vol. 9776, pp. 121-134, Springer, 2017
  • P. Huber, W. Christmas, M. Rätsch, A. Hilton, J. Kittler. Real-time 3D Face Super-resolution From Monocular In-the-wild Videos, SIGGRAPH, 2016, Anaheim, United States [ ACM ]
  • P. Huber, G. Hu, R. Tena, P. Mortazavian, W. Koppen, W. Christmas, M. Rätsch , J. Kittler. A Multiresolution 3D Morphable Face Model and Fitting Framework, International Conference on Computer Vision Theory and Applications (VISAPP), vol. 4, pp. 79-86 (ISSN: 978-989-758-175-5), Rome, Italy. 2016.
  • S. Wittig, U. Kloos, M. Rätsch. Emotion Model Implementation for Parameterized Facial Animation in Human-Robot-Interaction, International Conference on Computer Technology and Development (ICCTD), Journal of Computers, vol. 11, no. 6, pp. 439-445 (JCP, ISSN: 1796-203X), Singapore. 2016. (journal award)
  • P. Huber, Z. Feng, W. Christmas, J. Kittler, M. Rätsch. Fitting 3D Morphable Models using Local Features, IEEE International Conference on Image Processing (ICIP), pp 1195 – 1199, 2015, Québec City, Canada
  • S. Wittig, U. Kloos, M. Rätsch. Animation of Parameterized Facial Expressions for Collaborative Robots, Informatics Inside Conference for Human-Centered Computing, pp 72-73. 2015 (award)
  • P. Poschmann, P. Huber, M. Rätsch, J. Kittler, H.-J. Böhme. Fusion of Tracking Techniques to Enhance Adaptive Real-time Tracking of Arbitrary Objects, Conference on Intelligent Human Computer Interaction (IHCI), 2014, Evry, France
  • P. Huber, J. Kittler, M. Rätsch. Bottom-up and Top-down Face Analysis based on 3D Face Models, Informatics Inside Conference for Human-Centered Computing, pp 138. 2014 (award)
  • M. Rätsch, C. Blumer, T. Vetter, and G. Teschke. Efficient Object Tracking by Condentional and Cascaded Image Sensing, Advanced Computing and Interfacing Systems, Elsevier Journal of Computer Standards & Interfaces, 2011.
  • M. Rätsch, G. Teschke, S. Romdhani, and T. Vetter. Wavelet Frame Accelerated Reduced Support Vector Machines, IEEE Transactions on Image Processing, Vol. 17 No. 12, pp 2456-2464, Dec. 2008.
Full List of Papers

2019

  • J Jing, Z. Wang, H. Zhang, M. Rätsch. Mobile-Unet: An Efficient Convolutional Neural Network for Fabric Defect Detection. Textile Research Journal (submitted), 2019.
  • T. Weber, S. Triputen, A. Gopal, S. Eißler, C. Höfert, K. Schreve and M. Rätsch. 3D Object Reconstruction based on CNN Semantic Segmentation for Efficient and Robust Monocular SLAM. 23th International Symposium of the RoboCup World Championships, Lecture Notes in Artificial Intelligence (in press), 2019.
  • M. Danner, J. Kittler, P. Huber, M. Awais, Z. H. Feng, and M. Rätsch. Texture-based 3D Face Recognition Framework using Deep Neural Networks for Human-Machine Interaction in unconstrained Environments. 23th International Symposium of the RoboCup World Championships, Lecture Notes in Artificial Intelligence (submitted), 2019.

2018

  • J. Kittler, W. P. Koppen, P. Kopp, P. Huber, M. Rätsch. Conformal mapping of a 3D face representation onto a 2D image for CNN based face recognition. 11th International Conference on Biometrics, (ICB 2018, ISBN: 978-1-5386-4285-6), pp. 124-131, Australia, 2018.
  • Z. Feng , P. Huber, J. Kittler, P. Hancock, X. Wu, Q. Zhao, P. Koppen, M. Rätsch. Evaluation of Dense 3D Reconstruction from 2D Face Images in the Wild. 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018, ISBN: 978-1-5386-2335-0), pp. 780-786, Xi'an, China, 2018.
  • S. Triputen, A. Gopal, T. Weber, C. Höfert, K. Schreve and M. Rätsch. Methodology to analyze the accuracy of 3D objects reconstructed with collaborative robot based monocular LSD-SLAM. International Conference on Intelligent Autonomous Systems (ICoIAS’2018), pp. 181-186 (ISBN: 978-1-5386-6329-5), Singapore, 2018. (journal award)
  • T. X.-J. Zhu, H. Lu, M. Rätsch. An interactive clothing design and personalized virtual display system. Multimedia Tools Appl. Springer, (ISSN 1380-7501), 77(20): 27163-27179, 2018. (top rank journal)
  • X. Su, H. Zhou, V. P. Draghicic, M. Rätsch. Face naming in news images via Multiple Instance Learning and Hybrid Recurrent Convolutional Neural Network. JOURNAL OF ELECTRONIC IMAGING, 27(3), 033036), 2018.
  • T. Weber, S. Triputen, M. Danner, S. Braun, K. Schreve, M. Rätsch. Follow Me: real-time in the wild Person Tracking Application for Autonomous Robotics, 21th International Symposium of the RoboCup World Championships 2017, Lecture Notes in Artificial Intelligence (LNAI, ISSN 978-3-030-00307-4), vol. 11175, pp. 156167, 2018
  • M. Jasch, T. Weber, M. Rätsch. Fast and Robust RGB-D Scene Labeling for Autonomous Driving, Journal of Computers (JCP), vol.13(4), pp. 393-400, (ISSN: 0254-4164). San Bernardino, CA, 2018. (otto-johansen-price)

2017

  • L. Schneider, M. Jasch, B. Fröhlich, T. Weber, U. Franke, M. Pollefeys, M. Rätsch. Multimodal Neural Networks: RGB-D for Semantic Segmentation and Object Detection. Image Analysis. SCIA 2017. Lecture Notes in Computer Science, vol. 10269, pp. 98-109. Springer, Cham. 2017
  • S. Triputen, K. Schreve, V. Tkachev, M. Rätsch. Closed-form Solution for IMU based LSD-SLAM Point Cloud Conversion into the Scaled 3D World Environment. arXiv:1707.05982, 2017
  • K. Schreve, P. G. du Plessiers, M. Rätsch. Localisation Accuracy of Semi-dense Monocular SLAM. Proc. SPIE 10332, Videometrics, Range Imaging, and Applications XIV, 103320H, Munich, 2017

2016

  • M. Jasch, T. Weber, M. Rätsch. Fast and Robust RGB-D Scene Labeling for Autonomous Driving, 2nd International Conference on Systems, Control and Communications (ICSCC), Bangkok. 2016. (journal award, Otto-Johansen-Price, keynote speech)
  • P. Huber, W. Christmas, J. Kittler, P. Kopp, M. Rätsch. Real-time 3D Face Fitting and Texture Fusion on In-the-wild Videos, IEEE Signal Processing Letters (Print ISSN: 1070-9908, Online ISSN: 1558-2361), 2016.
  • M. Grupp, P. Kopp, P. Huber, M. Rätsch. A 3D Face Modelling Approach for Pose-Invariant Face Recognition in a Human-Robot Environment, 20th International Symposium of the RoboCup World Championships 2016, Lecture Notes in Artificial Intelligence (LNAI, ISBN 978-3-319-68792-6), RoboCup 2016: Robot World Cup XX , vol. 9776, pp. 121-134, Springer, 2017
  • P. Huber, W. Christmas, M. Rätsch, A. Hilton, J. Kittler. Real-time 3D Face Super-resolution From Monocular In-the-wild Videos, SIGGRAPH, 2016, Anaheim, United States
  • P. Huber, G. Hu, R. Tena, P. Mortazavian, W. Koppen, W. Christmas, M. Rätsch , J. Kittler. A Multiresolution 3D Morphable Face Model and Fitting Framework, International Conference on Computer Vision Theory and Applications (VISAPP), vol. 4, pp. 79-86 (ISSN: 978-989-758-175-5), Rome, Italy. 2016.
  • S. Wittig, U. Kloos, M. Rätsch. Emotion Model Implementation for Parameterized Facial Animation in Human-Robot-Interaction, International Conference on Computer Technology and Development (ICCTD), Journal of Computers, vol. 11, no. 6, pp. 439-445 (JCP, ISSN: 1796-203X), Singapore. 2016. (journal award)

2015

  • P. Kopp, M. Grupp, P. Huber, M. Rätsch. Person Tracking and 3D Model-based Face Analysis for Robust Human-Robot Interaction, Research Report Baden Württemberg, Vol. WS15/16, ISSN 2199- 4889, pp 52-54. 2015
  • P. Huber, Z. Feng, W. Christmas, J. Kittler, M. Rätsch. Fitting 3D Morphable Models using Local Features, IEEE International Conference on Image Processing (ICIP), pp 1195 – 1199, 2015, Québec City, Canada
  • S. Wittig, M. Rätsch, U. Kloos. Parameterized Facial Animation for Socially Interactive Robots, Human and Computer (M&C), pp 355-358. 2015.
  • P. Kopp, M. Grupp, P. Poschmann, H.-J. Böhme, M. Rätsch. Tracking System with Pose-Invariant Face Analysis for Human-Robot Interaction, Informatics Inside Conference for Human-Centered Computing, pp 70-71. 2015
  • S. Wittig, U. Kloos, M. Rätsch. Animation of Parameterized Facial Expressions for Collaborative Robots, Informatics Inside Conference for Human-Centered Computing, pp 72-73. 2015 (award) 2014 and older
  • P. Poschmann, P. Huber, M. Rätsch, J. Kittler, H.-J. Böhme. Fusion of Tracking Techniques to Enhance Adaptive Real-time Tracking of Arbitrary Objects, Conference on Intelligent Human Computer Interaction (IHCI), 2014, Evry, France
  • P. Huber, J. Kittler, M. Rätsch. Bottom-up and Top-down Face Analysis based on 3D Face Models, Informatics Inside Conference for Human-Centered Computing, pp 138. 2014 (award)
  • M. Rätsch, P. Quick, P. Huber, T. Frank, and T. Vetter. Wavelet Reduced Support Vector Regression for Efficient and Robust Head Pose Estimation, Proceedings of the Ninth Conference on Computer and Robot Vision (CRV 2012), pp 260-267, Toronto, Canada, June 2012.
  • M. Rätsch, C. Blumer, T. Vetter, and G. Teschke. Efficient Object Tracking by Condentional and Cascaded Image Sensing, Advanced Computing and Interfacing Systems, Elsevier Journal of Computer Standards & Interfaces, 2011.
  • M. Rätsch, C. Blumer, G. Teschke, and T. Vetter. 3D Cascaded Condensation Tracking for Multiple Objects, Signal Processing, Pattern Recognition and Application: SPPRA’10, pp 361-368. Innsbruck, Austria. 2010.
  • M. Rätsch, C. Blumer, G. Teschke, and T. Vetter. Coarse-to-fine Particle Filters for Multi-Object Human-Machine Interaction, IEEE Intelligent Data Acquisition and Advanced Computing Systems: IDAACS'09, pp 440-445, Rende, Italy. 2009 (journal award)
  • M. Rätsch, G. Teschke, S. Romdhani, and T. Vetter. Wavelet Frame Accelerated Reduced Support Vector Machines, IEEE Transactions on Image Processing (TIP), Vol. 17 No. 12, Dec. 2008.
  • M. Rätsch. Wavelet Frame Accelerated Reduced Vector Machine for Efficient Image Analysis in HMI Applications, Phd-Thesis, University of Basel, Department Computer Science, July 2008.
  • M. Rätsch, S. Romdhani, G. Teschke, and T. Vetter. Over-complete Wavelet Approximation of a Support Vector Machine for Efficient Classification. 27th Pattern Recognition Symposium, Vienna. 2005.
  • M. Rätsch. Fast Detection Module for Face Detection in Images. High Performance Online Image Search. I-Search: BMBF, DLR: 01 IR B02 B. Kaiserslautern, Oct. 2005.
  • M. Rätsch, S. Romdhani, and T. Vetter. Efficient Face Detection by a Cascaded Support Vector Machine using Haar-like Features. 26th Pattern Recognition Symposium, Tübingen. 2004.
  • M. Rätsch. Digital Image Processing to Eliminate Bondings by Touching Characters. Diploma thesis, Computer Science Department, University of Potsdam, 2002.
  • M. Rätsch. Digital Image Processing for the Pre-processing of Images for Optical Character Recognition Systems. Research fellowship thesis, Industry Research Foundation Köln, 1997.
  • M. Rätsch. Domino-Simulation in der logischen Programmiersprache PROLOG. Technical paper, Computer Science Department, University of Potsdam, June 1996.
  • M. Rätsch. Preprocessing of Images to Improve Optical Character Recognition Systems. Intermediate diploma thesis, Computer Science Department, University of Potsdam, Nov. 1996.
  • D. Herklotz, S. Ramp, and M. Rätsch. Flying Objects – Simulation eines Flugbüros. Umsetzung des Software-Engineering-Konzepts von Prof. E. Horn. Technical paper, Computer Science Department, University of Potsdam, Feb. 1996.
  • M. Rätsch. Numerische Verfahren zur Berechnung von Gleichgewichtskonstanten von Elektronen- Donator- Akzeptor-Komplexen. German State Exam thesis (Master of education for math and physics), Department of Numerical Mathematics and Physics, University of Potsdam, Jan. 1994.