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 (Labor 4-106)
Maschinelles Sehen und Künstliche Intelligenz (Machine Vision and Artificial Intelligence) (Labor 4-106)
Computer Science (Informatik für Maschinenbauer/Mechatroniker) (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

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 DOI URN
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 DOI URN
Yorita, Akihiro; Radke, Mario; Rätsch, Matthias; Kubota, Naoyuki (2024): Self-categorization theory with 3D emotional model for chatbot emotional support systems. - In: 2024 IEEE 18th International Symposium on Applied Computational Intelligence and Informatics (SACI), 21-25 May 2024, Siófok, Hungary and Timisoara, Romania, proceedings. - Piscataway : IEEE. - S. 000267-000271. - DOI: https://doi.org/10.1109/SACI60582.2024.10619061	BibTeX \| RIS DOI
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; 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 DOI URN
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 DOI URN
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 DOI URN
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 DOI URN
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 DOI URN
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 DOI URN
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 DOI URN
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 DOI URN
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 DOI URN
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 DOI URN
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 DOI URN
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 DOI URN
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 DOI URN