Prof. Dr. rer. nat. Matthias Rätsch
+49 7121 271 4046
matthias.raetsch@reutlingen-university.de
Gebäude 4, Raum 110
Dienstags, 19:00 Uhr online und nach Vereinbarung
- Computational Intelligence (RELAX, Labor 4-106)
- Maschinelles Sehen und Künstliche Intelligenz (Machine Vision and Artificial Intelligence) (RELAX, Labor 4-106)
- Computer Science (Informatik für Maschinenbauer/Mechatroniker) (RELAX/RELAX, Labor 4-105)
Eine Liste der Forschungs-, Projekt- und Thesisthemen finden Sie hier.
- Industrie- und Fördermittelprojekte:
- Drittmittelprojekte in der Automotive Industry, Robotics, Human-Robot-Collaboration, Face Analysis, Ambient Assisted Living, ADAS, eBikes mit BOSCH Automotive Electronics - Service Robotics u. APAS, Kuka, ABB, SIEMENS, Daimler, Cognitec, Bruderhaus Diakonie uva. KMUs
- Beispiele: KollRo 4.0 (Kollaborative Robotik, MRK, SLAM; BMBF, BOSCH), FMfFR/ACI/FAoV (Face Models for Face Recognition, Active Closer Inspection System, Face Analysis in Videostreams; COG), Face-HMI (BMBF, SAB, COG, HTW), RTMO (BMBF, HsNB), GES-3D (BMBF, COG, L1), I-Search (BMBF, UniBas)
- RoboCup:
- Head RC-Team RT-Lions der HsRT (Weltmeister, Deutscher Meister, amtierender Vizeweltmeister, Umstieg auf RC@Home League)
Labor für Bildverarbeitung
- Bildverarbeitung (Image Understanding)
- Mustererkennung
- Maschinelles Lernen
- Interaktive Mobile Robotik
- Assistenz und Servicesysteme
- Fahrerassistenzsysteme
- Interaktionssysteme Mensch-Maschine
- Gesichtserkennung
- Software Design Pattern
- Image Understanding, Maschinelles Lernen, Künstliche Intelligenz, Cyber-Physische Systeme
- Mensch-Maschine-Interaktion, Mensch-Roboter-Kollaboration, Personalisierte Assistenz u. Service Systeme, Non-verbale Kommunikation, Gesichts-/Emotions-/Körper- u. Handgestenerkennung und -Animation
- Shape from Shading (3D Morphable Models) und Structure from Motion für Face Modeling and Analysis
- RGB-D u. Monokulare SLAM Verfahren in Zusammenarbeit mit BOSCH u. TUM für autonome Navigation/Lokalisation
Ausgewählte Publikationen/Selected Papers
- 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: 1796-203X). Bangkok. 2016 and San Bernardino, CA, 2018. (journal award, keynote speech, otto-johansen-price) [DOI: 10.17706/jcp.13.4.393-400, pdf]
- Schneider, M. Jasch, B. Fröhlich, T. Weber, U. Franke, M. Pollefeys, M. Rätsch. Multimodal Neural Networks: RGB-D for Semantic Segmentation and Object Detection. SCIA (to appear). 2017
- Schreve, M. Rätsch. Localisation Accuracy of Semi-dense Monocular SLAM. Videometrics, Range Imaging, and Applications Conference (SPIE), Munich, 2017 [DOI: 10.1117/12.2270163]
- Jasch, T. Weber, M. Rätsch. Fast and Robust RGB-D Scene Labeling for Autonomous Driving (to appear), 2nd International Conference on Systems, Control and Communications (ICSCC), Bangkok. 2016. (journal award, 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, ISSN 0302-9743), (to appear) 2016 [RoboCup Pro.] [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: 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: 1796-203X). San Bernardino, CA, 2018. (otto-johansen-price) [DOI: 10.17706/jcp.13.4.393-400, pdf]
- Schneider, M. Jasch, B. Fröhlich, T. Weber, U. Franke, M. Pollefeys, M. Rätsch. Multimodal Neural Networks: RGB-D for Semantic Segmentation and Object Detection. SCIA (to appear). 2017
- Schreve, M. Rätsch. Localisation Accuracy of Semi-dense Monocular SLAM. Videometrics, Range Imaging, and Applications Conference (SPIE), Munich, 2017 [DOI: 10.1117/12.2270163]
- 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: 1796-203X). San Bernardino, CA, 2018. (otto-johansen-price) [DOI: 10.17706/jcp.13.4.393-400, pdf]
- Schneider, M. Jasch, B. Fröhlich, T. Weber, U. Franke, M. Pollefeys, M. Rätsch. Multimodal Neural Networks: RGB-D for Semantic Segmentation and Object Detection. SCIA (to appear). 2017
- Schreve, M. Rätsch. Localisation Accuracy of Semi-dense Monocular SLAM. Videometrics, Range Imaging, and Applications Conference (SPIE), Munich, 2017 [DOI: 10.1117/12.2270163]
2016
- Jasch, T. Weber, M. Rätsch. Fast and Robust RGB-D Scene Labeling for Autonomous Driving (to appear), 2nd International Conference on Systems, Control and Communications (ICSCC), Journal of Computers (JCP, ISSN: 1796-203X), 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, ISSN 0302-9743), (to appear) 2016 [RoboCup Pro.] [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, 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.
- Akademischer Werdegang:
- 2013 Berufung an die Hochschule Reutlingen – Professur Image Understanding, Interactive Robotics, Computer Science – Head RT-Lions RoboCup Team
- 2008 Promotion am Departement Informatik der Universität Basel (Schweiz) – Arbeitsgruppe Thomas Vetter (GraVis) – Face Analysis, 3d Morphable Models
- 2002 Diplom-Informatiker an der Mathematisch-Naturwissenschaftlichen Fakultät der Universität Potsdam
- 1994 Mathematik, Physik und Informatik Lehramtsstudium an der Universität Potsdam
- Berufstätigkeit:
- 2008 – 2013 Mitarbeiter der Firma Cognitec Systems GmbH – Weltführer für Face Analysis
- 2007 – 2010 Wissenschaftlicher Mitarbeiter am Konrad-Zuse-Zentrum für Informationstechnik Berlin (ZIB) und Hochschule Neubrandenburg – Angewandte Mathematik
- 2001 – 2003 Mitarbeiter der WiSenT GmbH – Computer Vision, Machine Learning
- 1999 – 2001 Mitarbeiter der CONTEX Technology GmbH – Image Processing, Machine Learning
- Auslandsaufenthalt:
- 2003 – 2008 Schweiz
- 1992 – 1993 Großbritannien
- Patente und Schutzrechte:
- DE195 33 585: Verfahren zur Segmentierung von Zeichen basierend auf det. endl. Automaten für eine optimale optische Texterfassung.
Rätsch, Matthias
2024 | |
Nassar, Youssef; Radke, Mario; Gopal, Atmaraaj; Knöller, Tobias; Weber, Thomas; Liu, ZhaoHua; Rätsch, Matthias (2024): BiGSiD: bionic grasping with edge-AI slip detection. - In: Robotics, computer vision and intelligent systems : 4th international conference, ROBOVIS 2024, Rome, Italy, February 25–27, 2024, proceedings. - Cham : Springer. - S. 152-163. - ISBN: 978-3-031-59056-6. - DOI: https://doi.org/10.1007/978-3-031-59057-3_10 | BibTeX | RIS DOI |
Hadžić, Bakir; Mohammed, Parvez; Danner, Michael; Ohse, Julia; Zhang, Yihong; Shiban, Youssef; Rätsch, Matthias (2024): Enhancing early depression detection with AI: a comparative use of NLP models. - In: SICE journal of control, measurement, and system integration 17 (1). - S. 135-143. - DOI: https://doi.org/10.1080/18824889.2024.2342624 | BibTeX | RIS DOIURN |
Lai, Yuzhi; Radke, Mario; Nassar, Youssef; Gopal, Atmaraaj; Weber, Thomas; Liu, ZhaoHua; Zhang, Yihong; Rätsch, Matthias (2024): Intuitive multi-modal human-robot interaction via posture and voice. - In: Robotics, computer vision and intelligent systems : 4th international conference, ROBOVIS 2024, Rome, Italy, February 25–27, 2024, proceedings. - Cham : Springer. - S. 441-456. - ISBN: 978-3-031-59056-6. - DOI: https://doi.org/10.1007/978-3-031-59057-3_28 | BibTeX | RIS DOI |
Yorita, Akihiro; Hirata, Yasuhisa; Okabe, Kohei; Hadžić, Bakir; Mohammed, Parvez; Radke, Mario; Rätsch, Matthias; Kubota, Naoyuki (2024): Is it necessary to set up a personality for the development of AI robots with a qualitative identity?. - In: Ethical, legal and social issues for symbiotic society with AI and Robotos: ICRES 2024 proceedings, Yokohama, Japan, 29-31 July 2024. - High Wycombe : CLAWAR Association. - S. 171-182. - DOI: https://doi.org/10.13180/icres.2024.29-31.07.027 | BibTeX | RIS DOI |
Peng, Shao; Hadžić, Bakir; Danner, Michael; Rätsch, Matthias (2024): Panic consumption under public health emergencies: the mediating role of risk perception. - In: Journal of public health - 11 S. - DOI: https://doi.org/10.1007/s10389-023-02188-6 | BibTeX | RIS DOIURN |
Shang, Aiguo; Zhu, Xinjuan; Danner, Michael; Rätsch, Matthias (2024): Unsupervised question-retrieval approach based on topic keywords filtering and multi-task learning. - In: Computer Speech & Language 87 (Artikelnummer: 101644) - S. 1-17. - DOI: https://doi.org/10.1016/j.csl.2024.101644 | BibTeX | RIS DOI |
Ohse, Julia; Hadžić, Bakir; Mohammed, Parvez; Peperkorn, Nicolina; Danner, Michael; Yorita, Akihiro; Kubota, Naoyuki; Rätsch, Matthias; Shiban, Youssef (2024): Zero-shot strike: testing the generalisation capabilities of out-of-the-box LLM models for depression detection. - In: Computer speech and language 88 (Artikelnummer: 101663) - S. 1-15. - DOI: https://doi.org/10.1016/j.csl.2024.101663 | BibTeX | RIS DOI |
2023 | |
Danner, Michael; Hadžić, Bakir; Gerhardt, Sophie; Ludwig, Simon; Uslu, Irem; Shao, Peng; Weber, Thomas; Shiban, Youssef; Rätsch, Matthias (2023): Advancing mental health diagnostics: AI-based method for depression detection in patient interviews. - In: 2023 62nd Annual Conference of the Society of Instrument and Control Engineers (SICE), 6-9 September 2023, Tsu, Japan, proceedings. - Piscataway, NJ : IEEE. - S. 1290-1296. - DOI: https://doi.org/10.23919/SICE59929.2023.10354236 | BibTeX | RIS DOI |
Brake, Elena Alida; Danner, Michael; Kosel, Gabriela; Kyosev, Yordan; Rätsch, Matthias; Cebula, Holger; Rose, Katerina (2023): Approach for Digitising the Softness of Human Tissue for Implementation in 3D Soft Avatar Clothing Simulations. - In: 3DBODY.TECH Proceedings : 14th International Conference and Exhibition on 3D Body Scanning and Processing Technologies. - Ascona : Hometrica Consulting. - 9 S. - ISBN: 978-3-033-10137-1. - DOI: https://doi.org/10.15221/23.59 | BibTeX | RIS DOIURN |
Danner, Michael; Brake, Elena; Decker, Christian; Rätsch, Matthias; Kyosev, Yordan; Rose, Katerina (2023): Evaluation of low-cost 3D scanner hardware for clothing industry. - In: Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2023) : Volume 1, 13-15 November 2023, Rome, Italy. - Setúbal, Portugal : SciTePress. - S. 727-735. - ISBN: 978-989-758-670-5. - DOI: https://doi.org/10.5220/0012231800003543 | BibTeX | RIS DOIURN |
Danner, Michael; Huber, Patrik; Awais, Muhammad; Rätsch, Matthias; Kittler, Josef (2023): GAN-powered model- & landmark-free reconstruction: a versatile approach for high-quality 3D facial and object recovery from single images. - In: Deep Learning Theory and Applications : 4th International Conference, DeLTA 2023, Rome, Italy, 13-14 July 2023, proceedings. - Cham : Springer. - S. 403-418. - ISBN: 978-3-031-39058-6. - DOI: https://doi.org/10.1007/978-3-031-39059-3_27 | BibTeX | RIS DOI |
Danner, Michael; Hadžić, Bakir; Radloff, Robert; Su, Xueping; Peng, Leping; Weber, Thomas; Rätsch, Matthias (2023): Overcome ethnic discrimination with unbiased machine learning for facial data sets. - In: Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5 VISAPP: VISAPP, 464-471, 2023 , Lisbon, Portugal. - Setúbal, Portugal : SciTePress. - S. 464-471. - ISBN: 978-989-758-634-7. - DOI: https://doi.org/10.5220/0011624900003417 | BibTeX | RIS DOIURN |
Su, Xueping; Duan, Jiawei; Li, Yunhong; Danner, Michael; Rätsch, Matthias; Peng, Jinye (2023): Personalized clothing recommendation fusing the 4-season color system and users’ biological characteristics. - In: Multimedia tools and applications - 29 S. - DOI: https://doi.org/10.1007/s11042-023-16014-4 | BibTeX | RIS DOI |
Su, Xueping; Zhao, Xingkai; Ren, Jie; Li, Yunhong; Rätsch, Matthias (2023): Pre‑training neural machine translation with alignment information via optimal transport. - In: Multimedia tools and applications - 21 S. - DOI: https://doi.org/10.1007/s11042-023-17479-z | BibTeX | RIS DOI |
Xiao, Qing; Wu, Lianghong; Wu, Xiaowen; Rätsch, Matthias (2023): Simulating temporally and spatially correlated wind speed time series by spectral representation method. - In: Complex system modeling and simulation 3 (2). - S. 157-168. - DOI: https://doi.org/10.23919/CSMS.2023.0007 | BibTeX | RIS DOIURN |
Aiguo, Shang; Danner, Michael; Xinjuan, Zhu; Rätsch, Matthias (2023): TFCSG: An unsupervised approach for question-retrieval over multi-task learning. - In: 2023 62nd Annual Conference of the Society of Instrument and Control Engineers (SICE). - Piscataway, NY : IEEE. - S. 610-615. - DOI: https://doi.org/10.23919/SICE59929.2023.10354081 | BibTeX | RIS DOI |
Danner, Michael; Hadžić, Bakir; Weber, Thomas; Xinjuan, Zhu; Rätsch, Matthias (2023): Towards equitable AI in HR: designing a fair, reliable, and transparent human resource management application. - In: Deep Learning Theory and Applications : 4th International Conference, DeLTA 2023, Rome, Italy, 13-14 July 2023, proceedings. - Cham : Springer. - S. 308-325. - ISBN: 978-3-031-39058-6. - DOI: https://doi.org/10.1007/978-3-031-39059-3_21 | BibTeX | RIS DOI |
2022 | |
Danner, Michael; Weber, Thomas; Huber, Patrik; Awais, Muhammad; Rätsch, Matthias; Kittler, Josef (2022): Evolutional normal maps: 3D face representations for 2D-3D face recognition, face modelling and data augmentation. - In: Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) : 6-8 February, virtual. - Setúbal : SciTePress. - S. 267-274. - ISBN: 978-989-758-555-5. - DOI: https://doi.org/10.5220/0010912000003124 | BibTeX | RIS DOIURN |
Weber, Thomas; Danner, Michael; Zhang, Bo; Rätsch, Matthias; Zell, Andreas (2022): Semantic risk-aware costmaps for robots in industrial applications using deep learning on abstracted safety classes from synthetic data. - In: Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4 VISAPP: VISAPP, 6-8 February 2022, virtual event. - Setúbal, Portugal : SciTePress. - S. 984-990. - ISBN: 978-989-758-555-5. - DOI: https://doi.org/10.5220/0010904100003124 | BibTeX | RIS DOIURN |
2021 | |
Su, Xueping; Zhu, Danyao; Ren, Jie; Rätsch, Matthias (2021): Automatic identification of focus personage in multi-lingual news images. - In: Multimedia tools and applications : an international journal 80 - S. 11015-11030. - DOI: https://doi.org/10.1007/s11042-020-10254-4 | BibTeX | RIS DOI |
Liu, Zhao-Hua; Lu, Bi-Liang; Wei, Hua-Liang; Rätsch, Matthias (2021): Deep adversarial domain adaptation model for bearing fault diagnosis. - In: IEEE transactions on systems, man, and cybernetics : Systems 51 (7). - S. 4217-4226. - DOI: https://doi.org/10.1109/TSMC.2019.2932000 | BibTeX | RIS DOI |
Rohlinger, Tihomir; Peng, Le Ping; Gerlach, Tobias; Pasler, Paul; Zhang, Bo; Seepold, Ralf; Martínez Madrid, Natividad; Rätsch, Matthias (2021): Deep learning-based EEG detection of mental alertness states from drivers under ethical aspects. - In: ICAAI 2021: 2021 The 5th International Conference on Advances in Artificial Intelligence (ICAAI), 20-22 November 2021, Virtual Event, United Kingdom, proceedings. - New York : Association for Computing Machinery. - S. 54-64. - ISBN: 978-1-4503-9069-9. - DOI: https://doi.org/10.1145/3505711.3505719 | BibTeX | RIS DOI |
Zhang, Bo; Yang, Yongbao; Feng, Zhi; Suo, Yuchao; Rätsch, Matthias (2021): Design and experiment of permanent magnet tubular linear generator using mechanical vertical vibration energy. - In: 13th International Symposium on Linear Drives for Industry Applications (LDIA), 1-3 July 2021, Wuhan, China, proceedings. - Piscataway, NJ : IEEE. - 5 S. - ISBN: 978-1-7281-7210-1. - DOI: https://doi.org/10.1109/LDIA49489.2021.9505940 | BibTeX | RIS DOI |
Danner, Michael; Weber, Thomas; Peng, Leping; Gerlach, Tobias; Su, Xueping; Rätsch, Matthias (2021): Ethically aligned deep learning: unbiased facial aesthetic prediction. - In: arXiv. - Ithaca, New York : Cornell University. - 6 S. - URL: https://arxiv.org/abs/2111.05149 | BibTeX | RIS URN |
2020 | |
Jing, Junfeng; Wang, Zhen; Rätsch, Matthias; Zhang, Huanhuan (2020): Mobile-Unet: An efficient convolutional neural network for fabric defect detection. - In: Textile Research Journal - S. 1-13. - DOI: https://doi.org/10.1177/0040517520928604 | BibTeX | RIS DOI |
Su, Xueping; Gao, Meng; Ren, Jie; Li, Yunhong; Rätsch, Matthias (2020): Personalized clothing recommendation based on user emotional analysis. - In: Discrete dynamics in nature and society : an international multidisciplinary research and review journal 2020 (Cognitive Modeling of Multimodal Data Intensive Systems for Applications in Nature and Society (COMDICS)). - S. 1-8. - DOI: https://doi.org/10.1155/2020/7954393 | BibTeX | RIS DOIURN |
Danner, Michael; Huber, Patrik; Awais, Muhammad; Feng, Zhen-Hua; Kittler, Josef; Rätsch, Matthias (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), 27-29 February 2020, Valletta, Malta. - Setúbal, Portugal : SciTePress. - S. 420-427. - ISBN: 978-989-758-402-2. - DOI: https://doi.org/10.5220/0008982504200427 | BibTeX | RIS DOIURN |
Gerlach, Tobias; Danner, Michael; Peng, Le; Kaminickas, Aidas; Fei, Wu; Rätsch, Matthias (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), 27-29 February 2020, Valletta, Malta. - Setúbal, Portugal : SciTePress. - S. 521-528. - ISBN: 978-989-758-402-2. - DOI: https://doi.org/10.5220/0009172905210528 | BibTeX | RIS DOIURN |
2019 | |
Wu, Fei; Zhu, Xinjuan; Wu, Xiaojun; Rätsch, Matthias (2019): Aesthetic classification of face images based on convolutional neural network model. - In: Journal of Xi'an Polytechnic University 33 (6). - S. 673-678. - DOI: https://doi.org/10.13338/j.issn.1674-649X.2019.06.014 | BibTeX | RIS DOI |
Weber, Thomas; Triputen, Sergey; Gopal, Atmaraaj; Eißler, Steffen; Höfert, Christian; Schreve, Kristiaan; Rätsch, Matthias (2019): Efficient and robust 3D object reconstruction based on monocular SLAM and CNN semantic segmentation. - In: RoboCup 2019: Robot World Cup XXIII. - (Lecture notes in artificial intelligence ; 11531). - Cham : Springer. - S. 351-363. - DOI: https://doi.org/10.1007/978-3-030-35699-6_27 | BibTeX | RIS DOI |
2018 | |
Zhu, Xin-juan; Lu, Haiqing; Rätsch, Matthias (2018): An interactive clothing design and personalized virtual display system. - In: Multimedia tools and applications : an international journal 77 (20). - S. 27163-27179. - DOI: https://doi.org/10.1007/s11042-018-5912-x | BibTeX | RIS DOI |
Kittler, Josef; Koppen, Paul; Kopp, Philipp; Huber, Patrik; Rätsch, Matthias (2018): Conformal mapping of a 3D face representation onto a 2D image for CNN based face recognition. - In: 2018 International Conference on Biometrics : ICB 2018 : Gold Coast, Queensland, Australia, 20-23 February 2018, proceedings. - Piscataway, NJ : IEEE. - S. 124-131. - ISBN: 978-1-5386-4285-6. - DOI: https://doi.org/10.1109/ICB2018.2018.00029 | BibTeX | RIS DOI |
Feng, Zhen-Hua; Huber, Patrik; Kittler, Josef; Hancock, Peter; Wu, Xiao-Jun; Zhao, Qijun; Koppen, Paul; Rätsch, Matthias (2018): Evaluation of dense 3D reconstruction from 2D face images in the wild. - In: 13th IEEE International Conference on Automatic Face and Gesture Recognition : FG 2018 : 15 - 19 May 2018, Xi'an, China, proceedings. - Piscataway, NJ : IEEE. - S. 780-786. - ISBN: 978-1-5386-2335-0. - DOI: https://doi.org/10.1109/FG.2018.00123 | BibTeX | RIS DOI |
Su, Xueping; Zhou, Hangchi; Draghici, Viorel Petrut; Rätsch, Matthias (2018): Face naming in news images via multiple instance learning and hybrid recurrent convolutional neural network. - In: Journal of electronic imaging 27 (3). - S. 1-26. - DOI: https://doi.org/10.1117/1.JEI.27.3.033036 | BibTeX | RIS DOI |
Jasch, Manuel; Weber, Thomas; Rätsch, Matthias (2018): Fast and robust RGB-D scene labeling for autonomous driving. - In: Journal of Computers 13 (4). - S. 393-400. - URL: http://www.jcomputers.us/list-196-1.html | BibTeX | RIS URN |
Weber, Thomas; Triputen, Sergey; Danner, Michael; Braun, Sascha; Schreve, Kristiaan; Rätsch, Matthias (2018): Follow Me: real-time in the wild person tracking application for autonomous robotics. - In: RoboCup 2017: Robot World Cup XXI. -(Lecture notes in artificial intelligence ; 11175). - Cham : Springer. - S. 156-167. - ISBN: 978-3-030-00308-1. - DOI: https://doi.org/10.1007/978-3-030-00308-1_13 | BibTeX | RIS DOI |
Triputen, Sergey; Gopal, Atmaraaj; Weber, Thomas; Höfert, Christian; Rätsch, Matthias; Schreve, Kristiaan (2018): Methodology to analyze the accuracy of 3D objects reconstructed with collaborative robot based monocular LSD-SLAM. - In: Advancing the frontier of intelligent autonomous systems : proceedings 2018 International Conference on Intelligent Autonomous Systems (ICoIAS 2018), March 1-3, 2018, Singapore. - Piscataway, NJ : IEEE. - S. 185-190. - ISBN: 978-1-5386-6331-8. - DOI: https://doi.org/10.1109/ICoIAS.2018.8494109 | BibTeX | RIS DOI |
2017 | |
Grupp, Michael; Kopp, Philipp; Huber, Patrik; Rätsch, Matthias (2017): A 3D face modelling approach for pose-invariant face recognition in a human-robot environment. - In: RoboCup 2016: Robot World Cup XX. - (Lecture notes in computer science ; 9776). - Cham : Springer. - S. 121-134. - ISBN: 978-3-319-68792-6. - DOI: https://doi.org/10.1007/978-3-319-68792-6_10 | BibTeX | RIS DOI |
Schreve, Kristiaan; Du Plessies, Pieter; Rätsch, Matthias (2017): Localisation accuracy of semi-dense monocular SLAM. - In: Videometrics, range imaging, and applications XIV : 26-27 June 2017, Munich, Germany. - (Proceedings of SPIE ; Volume 10332). - Bellingham, Washington : SPIE. The International Society for Optical Engineering. - S. 10332OH-1-10332OH-10. - ISBN: 978-1-5106-1109-2. | BibTeX | RIS |
Schneider, Lukas; Jasch, Manuel; Fröhlich, Björn; Weber, Thomas; Franke, Uwe; Pollefeys, Marc; Rätsch, Matthias (2017): Multimodal neural networks: RGB-D for semantic segmentation and object detection. - In: Image analysis : 20th Scandinavian conference, SCIA 2017, Tromsø, Norway, June 12-14, 2017, proceedings, part I. - (Lecture notes in computer science ; 10269). - Cham : Springer. - S. 98-109. - ISBN: 978-3-319-59126-1. - DOI: https://doi.org/10.1007/978-3-319-59126-1_9 | BibTeX | RIS DOI |
Huber, Patrik; Kopp, Philipp; Christmas, William; Rätsch, Matthias; Kittler, Josef (2017): Real-time 3D face fitting and texture fusion on in-the-wild videos. - In: IEEE signal processing letters : a publication of the IEEE Signal Processing Society 24 (4). - S. 437-441. - DOI: https://doi.org/10.1109/LSP.2016.2643284 | BibTeX | RIS DOI |
2016 | |
Huber, Patrik; Hu, Guosheng; Tena, Rafael; Mortazavian, Pouria; Koppen, Willem; Christmas, William; Rätsch, Matthias; Kittler, Josef (2016): A multiresolution 3D morphable face model and fitting framework. - In: VISIGRAPP 2016 : proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Rome, Italy, February 27 - 29, 2016. - Vol. 4. - Setúbal, Portugal : SciTePress. - S. 79-86. - ISBN: 978-989-758-175-5. - DOI: https://doi.org/10.5220/0005669500790086 | BibTeX | RIS DOIURN |
Wittig, Steffen; Kloos, Uwe; Rätsch, Matthias (2016): Emotion model implementation for parameterized facial animation in human-robot-interaction. - In: Journal of computers 11 (6). - S. 439-445. - DOI: https://doi.org/10.17706/jcp.11.6.439-445 | BibTeX | RIS DOIURN |
Huber, Patrik; Christmas, William; Hilton, Adrian; Kittler, Josef; Rätsch, Matthias (2016): Real-time 3D face super-resolution from monocular in-the-wild videos. - In: ACM SIGGRAPH 2016 posters. - New York, NY : Association for Computing Machinery. - 2 S. - ISBN: 978-1-4503-4371-8. - DOI: https://doi.org/10.1145/2945078.2945145 | BibTeX | RIS DOI |
2015 | |
Huber, Patrik; Feng, Zhen-Hua; Christmas, William; Kittler, Josef; Rätsch, Matthias (2015): Fitting 3D morphable face models using local features. - In: 2015 IEEE International Conference on Image Processing (ICIP) : 27 - 30 Sept. 2015, Québec City, Canada. - Piscataway, NJ : IEEE. - S. 1195-1199. - ISBN: 978-1-4799-8339-1. - DOI: https://doi.org/10.1109/ICIP.2015.7350989 | BibTeX | RIS DOI |
Wittig, Steffen; Rätsch, Matthias; Kloos, Uwe (2015): Parameterized facial animation for socially interactive robots. - In: Mensch und Computer 2015 : proceedings. - Berlin : De Gruyter. - S. 355-358. - ISBN: 978-3-11-044392-9. - DOI: https://doi.org/10.1515/9783110443929-051 | BibTeX | RIS DOIURN |
Kopp, Philipp; Grupp, Michael; Huber, Patrik; Rätsch, Matthias (2015): Person tracking and 3D model-based face analysis for robust human-robot interaction. - In: Forschungsreport für die Elektrotechnik in Baden-Württemberg : WS 2015/16 - S. 52-54. | BibTeX | RIS |
2014 | |
Poschmann, Peter; Huber, Patrik; Rätsch, Matthias; Kittler, Joseph; Böhme, Hans-Joachim (2014): Fusion of tracking techniques to enhance adaptive real-time tracking of arbitrary objects. - In: Procedia computer science 39 (6th International conference on Intelligent Human Computer Interaction, IHCI 2014). - S. 162-165. - DOI: https://doi.org/10.1016/j.procs.2014.11.025 | BibTeX | RIS DOIURN |