Publications

Publications

 SELECTED PUBLICATIONS

• 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.
• Triputen, T. Weber, A. Gopal, C. Höfert, K. Schreve and M. Rätsch. 3D Object Reconstruction based on CNN Semantic Segmentation for Efficient and Robust Monocular SLAM. International Conference on 3DVision (submitted), 2018.
• 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.
• 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 IAPR International Conference on Biometrics (ICB 2018), (in press), Queensland, Australia, 2018.
• Triputen, T. Weber, A. Gopal, C. Höfert, K. Schreve and M. Rätsch. 3D Object Reconstruction for Collaborative Robots based on Monocular Visual LSD-SLAM. Journal of Intelligent Autonomous Systems (IJIAS) (in press), 2018.
• 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)(in press), Singapore, 2018. (journal award)
• X.-J. Zhu, H. Lv, M. Rätsch. An Interactive Clothing Design and Personalized Virtual Display System. Multimedia Tools and Applications Journal (in press), 2017.
• 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 (in press), 2017.
• 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)
  [DOI: 10.17706/jcp.13.4.393-400, pdf]
• 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 0302-9743), (to appear) 2017
  [RoboCup Pro.]
• 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
  [DOI: 10.1007/978-3-319-59126-1_9, pdf]
• 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
  [DOI: 10.1117/12.2270163, pdf]
• 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), (to appear) 2016
  [IEEE] [Preprint PDF] [DOI: 10.1109/LSP.2016.2643284]
• 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
  [RoboCup Pro.] [DOI 10.1007/978-3-319-68792-6] [Preprint PDF]
• 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] [Abstract (PDF)] [Poster (PDF)] [YouTube video]
• 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.
  [DOI: 10.5220/0005669500790086] [Preprint PDF] [BibTeX] [Code (GitHub)]
• 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)
• 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 (“top 10%” paper award)
  [DOI: 10.1109/ICIP.2015.7350989] [IEEE] [Preprint PDF (arXiv)] [BMVA meeting slides]
• 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)
• 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
  [DOI: 10.1016/j.procs.2014.11.025] [ScienceDirect] [PDF: Poster, Paper] [Source code on Github]
• 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)
• 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, DOI:10.1016/j.csi.2011.02.001, 2011.
• 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 PUBLICATIONS

2020

• Danner, M.; Huber, P.; Awais, M.; Feng, Z.; Kittler, J. and Raetsch, M. (2020). Texture-based 3D Face Recognition using Deep Neural Networks for Unconstrained Human-machine Interaction.In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications – Volume 5: VISAPP, ISBN 978-989-758-402-2, ISSN 2184-4321, pages 420-427. DOI: 10.5220/0008982504200427
• Gerlach, T.; Danner, M.; Peng, L.; Kaminickas, A.; Fei, W. and Rätsch, M. (2020). Who Loves Virtue as much as He Loves Beauty?: Deep Learning based Estimator for Aesthetics of Portraits.In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications – Volume 5: VISAPP, ISBN 978-989-758-402-2, ISSN 2184-4321, pages 521-528. DOI: 10.5220/0009172905210528

2018

• 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 IAPR International Conference on Biometrics (ICB 2018), (in press), Queensland, Australia, 2018.
• Triputen, T. Weber, A. Gopal, C. Höfert, K. Schreve and M. Rätsch. 3D Object Reconstruction for Collaborative Robots based on Monocular Visual LSD-SLAM. Journal of Intelligent Autonomous Systems (IJIAS) (in press), 2018.
• 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)
• X.-J. Zhu, H. Lv, M. Rätsch. An Interactive Clothing Design and Personalized Virtual Display System. Multimedia Tools and Applications Journal (in press), 2017.
• 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 (in press), 2017.
• 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)
  [DOI: 10.17706/jcp.13.4.393-400, pdf]

2017

• 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
  [DOI: 10.1007/978-3-319-59126-1_9, pdf]
• 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 0302-9743), (to appear) 2017
  [RoboCup Pro.]
• 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
  [DOI: 10.17706/jcp.13.4.393-400, pdf]
• 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
  [DOI: 10.1117/12.2270163, pdf]

2016

• 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)
• 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), (to appear) 2016
  [IEEE] [Preprint PDF] [DOI: 10.1109/LSP.2016.2643284]
• 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
  [RoboCup Pro.] [DOI 10.1007/978-3-319-68792-6] [Preprint PDF]
• 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] [Abstract (PDF)] [Poster (PDF)] [YouTube video]
• 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.
  [DOI: 10.5220/0005669500790086] [Preprint PDF] [BibTeX] [Code (GitHub)]
• 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

• 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
• 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 (“top 10%” paper award)
  [DOI: 10.1109/ICIP.2015.7350989] [IEEE] [Preprint PDF (arXiv)] [BMVA meeting slides]
• Wittig, M. Rätsch, U. Kloos. Parameterized Facial Animation for Socially Interactive Robots, Human and Computer (M&C), pp 355-358. 2015.
• 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
• 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

• 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
  [DOI: 10.1016/j.procs.2014.11.025] [ScienceDirect] [PDF: Poster, Paper] [Source code on Github]
• 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)
• 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.
• 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, doi:10.1016/j.csi.2011.02.001, 2011.
• 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.
• 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)
• 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, pp 2456-2464, Dec. 2008.
• Rätsch. Wavelet Frame Accelerated Reduced Vector Machine for Efficient Image Analysis in HMI Applications, Phd-Thesis, University of Basel, Department Computer Science, July 2008.
• Rätsch, S. Romdhani, G. Teschke, and T. Vetter. Over-complete Wavelet Approximation of a Support Vector Machine for Efficient Classification. DAGM’05: 27th Pattern Recognition Symposium, Vienna. 2005.
• 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.
• Rätsch, S. Romdhani, and T. Vetter. Efficient Face Detection by a Cascaded Support Vector Machine using Haar-like Features. DAGM’04: 26th Pattern Recognition Symposium, Tübingen. pp 62-70, 2004.
• Rätsch. Digital Image Processing to Eliminate Bondings by Touching Characters. Diploma thesis, Computer Science Department, University of Potsdam, 2002.
• Rätsch. Digital Image Processing for the Pre-processing of Images for Optical Character Recognition Systems. Research fellowship thesis, Industry Research Foundation Köln, 1997.
• Rätsch. Domino-Simulation in der logischen Programmiersprache PROLOG. Technical paper, Computer Science Department, University of Potsdam, June 1996.
• Rätsch. Preprocessing of Images to Improve Optical Character Recognition Systems. Intermediate diploma thesis, Computer Science Department, University of Potsdam, Nov. 1996.
• 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.
• 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.