Publications
2026
Ohse J, Hadžić B, Peperkorn N, Ploen M, Fox J, Neukirch J, Rätsch M, Shiban Y. Human vs. machine-Evaluating GPT-4, GPT-4o and GPT-4o-mini in rating depression interviews in a convenience sample of the German population. Computers in Human Behavior Reports. 2026 Feb 12:100968. [DOI:10.1016/j.chbr.2026.100968] (OPUS)
Peperkorn NL, Ohse J, Fox J, Limberg S, Hadžić B, Rätsch M, Voigt-Antons JN, Witthöft M, Shiban Y. Effects of change in dysfunctional beliefs and self-esteem in avatar-based cognitive therapy for symptoms of social anxiety disorder: a randomized parallel trial. Scientific Reports. 2026 Feb 12;16(1):6144. [DOI:10.1038/s41598-026-39641-x] (OPUS)
2025
Khan MH, Radke M, Hanna M, Danner M, Liu H, Rätsch M. Advanced AI-based slip detection on an ESP32 for bionic grippers. In 2025 34th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) 2025 Aug 25 (pp. 1380-1385). IEEE. [DOI:10.1109/RO-MAN63969.2025.11217823] (OPUS)
Lai Y, Yuan S, Nassar Y, Fan M, Weber T, Rätsch M. NVP-HRI: Zero shot natural voice and posture-based human-robot interaction via large language model. Expert Systems with Applications. 2025 Jan 3:126360. [DOI:10.1016/j.eswa.2024.126360] (OPUS)
Lai Y, Yuan S, Nassar Y, Fan M, Gopal A, Yorita A, Kubota N, Rätsch M. Natural multimodal fusion-based human–robot interaction: Application with voice and deictic posture via large language model. IEEE Robotics & Automation Magazine. 2025 Mar 5. [DOI:10.1109/MRA.2025.3543957] (OPUS)
Guo Y, Siow CZ, Chin WH, Hadžić B, Yorita A, Obo T, Rätsch M, Kubota N. Enhancing individual self-efficacy through a self-growing memory artificial intelligence agent integrated with a diary application. Journal of Advanced Computational Intelligence and Intelligent Informatics. 2025 Jan 20;29(1):41-52. [DOI:10.20965/jaciii.2025.p0041] (OPUS)
Mohammed P, Hadžić B, Alkostantini ME, Kubota N, Shiban Y, Rätsch M. Hearing emotions: fine-tuning speech emotion recognition models. InFifth Symposium on Pattern Recognition and Applications (SPRA 2024) 2025 Feb 10 (Vol. 13540, pp. 26-33). SPIE. [DOI:10.1117/12.3057659] (OPUS)
Hadžić B, Ohse J, Alkostantini M, Peperkorn N, Yorita A, Weber T, Kubota N, Shiban Y, Rätsch M. Emotional dynamics in semi-clinical settings: speech emotion recognition in depression-related interviews. InProceedings of the 11th International Conference on Information and Communication Technologies for Ageing Well and e-Health: ICT4AWE-Volume 1; 6-8 April 2025, Porto, Portugal 2025 (pp. 104-113). SciTePress. [DOI:10.5220/0013415700003938] (OPUS)
Su X, Zhao X, Li Y, Yao L, Ratsch M. Alignment Information via Optimal Transport and Pre-training for Neural Machine Translation. IEEE Transactions on Audio, Speech and Language Processing. 2025 May 16. [DOI:10.1109/TASLPRO.2025.3570944] (OPUS)
Hadžić B, Brandner LT, Weber T, Rätsch M. AI-Driven Active Sourcing in Recruitment: Addressing Contestability in Automated Hiring Systems. Frontiers in Computer Science.; 2025 Dec 7:1629522. [DOI: 10.3389/fcomp.2025.1629522] (OPUS)
2024
Hadzic B, Mohammed P, Danner M, Ohse J, Zhang Y, Shiban Y, Rätsch M. Enhancing early depression detection with AI: a comparative use of NLP models. SICE journal of control, measurement, and system integration. 2024 Dec 31;17(1):135-43. [DOI:10.1080/18824889.2024.2342624] (OPUS)
Kuhlencord M, Ohse J, Fox J, Peperkorn N, Rätsch M, Voigt-Antons JN, Shiban Y. Der Einsatz von vielversprechenden Technologien in der klinisch-psychologischen Diagnostik: Fokus auf KI und XR. Psychologie in Österreich. 2024(4 & 5):278-85. (OPUS)
Danner M, Brake E, Kosel G, Kyosev Y, Rose K, Rätsch M, Cebulla H. AI-assisted Pattern Generator for Garment Design. Communications in Development and Assembling of Textile Products. 2024 Dec 29;5(2):195-206. [DOI:10.25367/cdatp.2024.5.p195-206] (OPUS)
Ohse J, Hadžić B, Mohammed P, Peperkorn N, Fox J, Krutzki J, Lyko A, Fan M, Zheng X, Rätsch M, Shiban Y. GPT-4 shows potential for identifying social anxiety from clinical interview data. Scientific Reports. 2024 Dec 16;14(1):1-2. [DOI:10.1038/s41598-024-82192-2] (OPUS)
Ohse J, Hadžić B, Mohammed P, Peperkorn N, Danner M, Yorita A, Kubota N, Rätsch M, Shiban Y. Zero-Shot Strike: Testing the generalisation capabilities of out-of-the-box LLM models for depression detection. Computer Speech & Language. 2024 Nov 1;88:101663. [DOI:10.1016/j.csl.2024.101663] (OPUS)
Zhao C, Wu L, Tan W, Zuo C, Zhang H, Rätsch M. A Cooperative Fruit Fly Optimization Algorithm for Energy-efficient Scheduling of Distributed Permutation Flow-shop with Limited Buffers. Tsinghua Science and Technology. 2024 Sep 11. [DOI:10.26599/TST.2024.9010128] (OPUS)
Indermun S, Schreve K, Weber T, Rätsch M. Dynamic human–object interaction detection for feature exclusion in visual simultaneous localization and mapping (SLAM). International journal of advanced robotic systems. 2024 Sep;21(5):17298806241279782. [DOI:10.1177/17298806241279782] (OPUS)
Shang A, Zhu X, Danner M, Rätsch M. Unsupervised question-retrieval approach based on topic keywords filtering and multi-task learning. Computer Speech & Language. 2024 Aug 1;87:101644. [DOI:10.1016/j.csl.2024.101644] (OPUS)
Weber T, Indermun S, Fan M, Wu L, Schreve K, Rätsch M. Safety Classes Semantic Costmaps from RGBD Sensors for Risk-Aware Robot Navigation. In 2024 10th International Conference on Control, Decision and Information Technologies (CoDIT) 2024 Jul 1 (pp. 2449-2453). IEEE. [DOI:10.1177/17298806241279782] (OPUS)
Yorita A, Radke M, Rätsch M, Kubota N. Self-Categorization Theory with 3D Emotional Model for Chatbot Emotional Support Systems. SACI 2024; 2024 May 23-25; Timisoara, Romania. IEEE; 2024 Aug 12. [DOI:10.1109/SACI60582.2024.10619061](OPUS)
Yorita A, Radke AM, Rätsch M, Kubota N. Chatbot for Emotional Support based on Self-Categorization Theory with Emotional Model. SICE Conference; 2024 Mar 18. [Available from: https://iscs2024.sice-ctrl.jp/technical-program#1M1]
Su X, Zhao X, Ren J, Li Y, Rätsch M. Pre-training neural machine translation with alignment information via optimal transport. Multimedia tools and applications. 2024 May;83(16):48377-97. [DOI: 10.1007/s11042-023-16014-4] (OPUS)
Lai Y, Radke M, Nassar Y, Gopal A, Weber T, Liu Z, Zhang Y, Rätsch M. Intuitive multi-modal human-robot interaction via posture and voice. In International Conference on Robotics, Computer Vision and Intelligent Systems 2024 Feb 25 (pp. 441-456). Cham: Springer Nature Switzerland. [DOI:10.1007/978-3-031-59057-3_28] (OPUS)
Nassar Y, Radke M, Gopal A, Knöller T, Weber T, Liu Z, Rätsch M. BiGSiD: bionic grasping with edge-AI slip detection. In International Conference on Robotics, Computer Vision and Intelligent Systems 2024 Feb 25 (pp. 152-163). Cham: Springer Nature Switzerland. [DOI:10.1007/978-3-031-59057-3_10] (OPUS)
Peng S, Hadžić B, Danner M, Rätsch M. Panic consumption under public health emergencies: The mediating role of risk perception. Journal of public health. 2024 Feb 1:1-1. [DOI:10.1007/s10389-023-02188-6] (OPUS)
Su X, Duan J, Ren J, Li Y, Danner M, Rätsch M, Peng J. Personalized clothing recommendation fusing the 4-season color system and users’ biological characteristics. Multimedia tools and applications. 2024 Feb;83(5):12597-625. [DOI:10.1007/s11042-023-16014-4597–12625] (OPUS)
Yorita A, Hirata Y, Okabe K, Hadžić B, Mohammed P, Radke M, Rätsch M, Kubota N. 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 robots: ICRES 2024 proceedings, Yokohama, Japan, 29-31 July 2024 2024 (pp. 171-182). CLAWAR Association. [DOI:10.13180/icres.2024.29-31.07.027](OPUS)
Hadzic B, Ohse J, Danner M, Peperkorn NL, Mohammed P, Shiban Y, Rätsch M. AI-Supported Diagnostic of Depression Using Clinical Interviews: A Pilot Study. In VISIGRAPP (1): GRAPP, HUCAPP, IVAPP 2024 (pp. 500-507). [DOI:10.5220/0012439700003660] (OPUS)
2023
Su X, Zhao X, Ren J, Li Y, Rätsch M. Pre-training neural machine translation with alignment information via optimal transport. Multimedia tools and applications. 2023 May;83(16):48377-97.
[DOI: 10.1007/s11042-023-17479-z] (OPUS)
Danner, M., Brake, E., Decker, C., Rätsch, M., Kyosev, Y. and Rose, K., 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 (pp. 727-735). Science and Technology Publications..
[DOI: 10.5220/0012231800003543] (OPUS)
Brake EA, Danner M, Kosel G, Kyosev Y, Rätsch M, Cebula H, Rose K. Approach for Digitising the Softness of Human Tissue for Implementation in 3D Soft Avatar Clothing Simulations. In3DBODY. TECH Proceedings: 14th International Conference and Exhibition on 3D Body Scanning and Processing Technologies 2023. Hometrica Consulting.. ISBN 978-3-033-10137-1
[DOI: 10.15221/23.59] (OPUS)
Xueping Su, Dandan Sun, Yunhong Li et al. Masked face recognition with BF-FaceNet and multi-view features, 04 July 2023, Research Square DOI: /10.21203/rs.3.rs-3127760/v1 [DOI: 10.21203/rs.3.rs-3127760/v1, pdf] (OPUS)
Su X, Duan J, Ren J, Li Y, Danner M, Rätsch M, Peng J. Personalized clothing recommendation fusing the 4-season color system and users’ biological characteristics. Multimedia tools and applications. 2024 Feb;83(5):12597-625.
[DOI: 10.1007/s11042-023-16014-4] (OPUS)
Xiao Q, Wu L, Wu X, Rätsch M. Simulating temporally and spatially correlated wind speed time series by spectral representation method. Complex system modeling and simulation. 2023 Jun 20;3(2):157-68.
[DOI: 10.23919/CSMS.2023.0007, pdf] (OPUS)
Aiguo S, Danner M, Xinjuan Z, Rätsch M. TFCSG: An Unsupervised Approach for Question-retrieval Over Multi-task Learning. In2023 62nd Annual Conference of the Society of Instrument and Control Engineers (SICE) 2023 Sep 6 (pp. 610-615). IEEE.
[DOI: 10.23919/SICE59929.2023.10354081, pdf] (OPUS)
Yongbao YA, ZHANG B, ZHANG L, Rätsch M, Yuchao SU. Design of Electromagnetic Vibration Power Generation Based on Spring Amplitude Amplification. Power Generation Technology. 2023 Apr 30;44(2):244.
Danner M, Hadzic B, Gerhardt S, Ludwig S, Uslu I, Shao P, Weber T, Shiban Y, Ratsch M. Advancing mental health diagnostics: GPT-based method for depression detection. In2023 62nd Annual Conference of the Society of Instrument and Control Engineers (SICE) 2023 Sep 6 (pp. 1290-1296). IEEE.
[DOI: 10.23919/SICE59929.2023.10354236, pdf] (OPUS)
Danner M, Huber P, Awais M, Rätsch M, Kittler J. GAN-Powered Model &Landmark-Free Reconstruction: A Versatile Approach for High-Quality 3D Facial and Object Recovery from Single Images. In International Conference on Deep Learning Theory and Applications 2023 Jul 13 (pp. 403-418). Cham: Springer Nature Switzerland.
[DOI: 10.1007/978-3-031-39059-3_27] (OPUS)
Danner M, Hadžić B, Weber T, Zhu X, Rätsch M. Towards equitable AI in HR: designing a fair, reliable, and transparent human resource management application. In International Conference on Deep Learning Theory and Applications 2023 Jul 13 (pp. 308-325). Cham: Springer Nature Switzerland.
[DOI: 10.1007/978-3-031-39059-3_21] (OPUS)
Danner M, Hadžić B, Radloff R, Su X, Peng L, Weber T, Rätsch M. Overcome ethnic discrimination with unbiased machine learning for facial data sets. InProceedings 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 2023 (Vol. 5, pp. 464-471). SciTePress.
[DOI: 10.5220/0011624900003417, pdf] (OPUS)
2022
Weber T, Danner M, Zhang B, Rätsch M, Zell A. Semantic Risk-aware Costmaps for Robots in Industrial Applications using Deep Learning on Abstracted Safety Classes from Synthetic Data. InVISIGRAPP (4: VISAPP) 2022 (pp. 984-990).
[DOI: 10.5220/0010904100003124, pdf] (OPUS)
Danner M, Weber T, Huber P, Awais M, Rätsch M, Kittler J. Evolutional normal maps: 3D face representations for 2D-3D face recognition, face modelling and data augmentation. InVISIGRAPP (5: VISAPP) 2022 (pp. 267-274).
[DOI: 10.5220/0010912000003124, pdf] (OPUS)
Jing J, Wang Z, Rätsch M, Zhang H. Mobile-Unet: An efficient convolutional neural network for fabric defect detection. Textile Research Journal. 2022 Jan;92(1-2):30-42. (OPUS)
2021
Su X, Zhu D, Ren J, Rätsch M. Automatic identification of focus personage in multi-lingual news images. Multimedia Tools and Applications. 2021 Mar;80(7):11015-30. (top rank TR-master journal)
[DOI: 10.1007/s11042-020-10254-4, pdf] (OPUS)
Zhang B, Yang Y, Feng Z, Suo Y, Rätsch M. Design and experiment of permanent magnet tubular linear generator using mechanical vertical vibration energy. In2021 13th International Symposium on Linear Drives for Industry Applications (LDIA) 2021 Jul 1 (pp. 1-5). IEEE.
[DOI: 10.1109/LDIA49489.2021.9505940, pdf] (OPUS)
Rohlinger T, Peng LP, Gerlach T, Pasler P, Zhang B, Seepold R, Madrid NM, Raetsch M. Deep learning-based EEG detection of mental alertness states from drivers under ethical aspects. InProceedings of the 5th International Conference on Advances in Artificial Intelligence 2021 Nov 20 (pp. 54-64).
[DOI: 10.1145/3505711.3505719, pdf] (OPUS)
Danner M, Weber T, Peng L, Gerlach T, Su X, Rätsch M. Ethically aligned deep learning: unbiased facial aesthetic prediction. arXiv preprint arXiv:2111.05149. 2021 Nov 9.
[urn:nbn:de:bsz:rt2-opus4-34467. pdf] (OPUS)
Xing X, Liu J. Vibration and position control of overhead crane with three-dimensional variable length cable subject to input amplitude and rate constraints. IEEE Transactions on Systems, Man, and Cybernetics: Systems. 2019 Aug 9;51(7):4127-38.
Danner M, Weber T, Peng L, Gerlach T, Su X, Rätsch M. Ethically aligned deep learning: unbiased facial aesthetic prediction. arXiv preprint arXiv:2111.05149. 2021 Nov 9.
[arXiv:2111.05149. pdf] (OPUS)
Su X, Zhu D, Ren J, Rätsch M. Automatic identification of focus personage in multi-lingual news images. Multimedia Tools and Applications. 2021 Mar;80(7):11015-30. [DOI:10.1007/s11042-020-10254-4] (OPUS)
2020
Su X, Gao M, Ren J, Li Y, Rätsch M. Personalized clothing recommendation based on user emotional analysis. Discrete Dynamics in Nature and Society. 2020;2020(1):7954393. (top rank TR-master journal)
[DOI: 10.1155/2020/7954393, pdf] (OPUS)
Gerlach T, Danner M, Peng L, Kaminickas A, Fei W, Rätsch M. Who loves virtue as much as he loves beauty?: Deep learning based estimator for aesthetics of portraits. InProceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications-(Volume 5), 27-29 February 2020, Valletta, Malta 2020 (pp. 521-528). SciTePress. (OPUS)
Jing J, Wang Z, Rätsch M, Zhang H. Mobile-Unet: An efficient convolutional neural network for fabric defect detection. Textile Research Journal. 2022 Jan;92(1-2):30-42. (top rank TR-master journal)
[DOI: 10.1177/0040517520928604, pdf] (OPUS)
Danner M, Raetsch M, Huber P, Awais M, Feng Z, Kittler J. Texture-based 3D face recognition using deep neural networks for unconstrained human-machine interaction.
[DOI: 10.5220/0008982504200427, pdf] (OPUS)
H. Lin, S. Zhang, S. Wang, M. Rätsch. Bifurcation Characteristics of Split Torque-Combine Power Gear Transmission Under Meshing Parameter Excitations. Mechanical Science and Technology for Aerospace Engineering, vol. 39(1), pp. 41-46, 2020.
[DOI: 10.13433/j.cnki.1003-8728.20190093, pdf] (OPUS)
H. Lin, S. M. Wang, M. Rätsch, G. Xu. Nonlinear chaos control parametric perturbation and orbital deviation of a gear-bearing system. Journal of Vibration and Shock (ISSN 10003835), vol. 39(15), pp. 250-256, 2020.
[DOI: 10.13465/j.cnki.jvs.2020.15.034]
H. Lin, W. Qu, S. M. Wang, M. Rätsch. Periodic orbit control of nonlinear vibration chaotic attractors of a gear-bearing system. Journal of Vibration and Shock (ISSN 10003835), vol. 39(13), pp. 1-6,15, 2020.
[DOI: 10.13465/j.cnki.jvs.2020.13.001]
2019
Wu F, Zhu X, Wu X, Rätsch M. Aesthetic classification of face images based on convolutional neural network model. Journal of Xi’an Polytechnic University. 2019;33(6):673-8.
[DOI: 10.13338/j.issn.1674-649x.2019.06.014, pdf] (OPUS)
Danner M, Raetsch M, Huber P, Awais M, Feng Z, Kittler J. Texture-based 3D face recognition using deep neural networks for unconstrained human-machine interaction. 10.5220/0008982504200427 (OPUS)
H. Lin, S. M. Wang, G. Xu, M. Rätsch. Numerical characteristics of gear system attractors in phase space based on G-P algorithm of correlation dimension. Journal of Mechanical Transmission, 43(7):12-16, 2019.
[DOI: 10.16578/j, ISSN: 1004.2539.2019.07.003, pdf]
Weber T, Triputen S, Gopal A, Eißler S, Höfert C, Schreve K, Rätsch M. Efficient and robust 3D object reconstruction based on monocular SLAM and CNN semantic segmentation. InRoboCup 2019: Robot World Cup XXIII 23 2019 (pp. 351-363). Springer International Publishing.
[DOI: 10.1007/978-3-030-35699-6_27, pdf] (OPUS)
Liu ZH, Lu BL, Wei HL, Chen L, Li XH, Rätsch M. Deep adversarial domain adaptation model for bearing fault diagnosis. IEEE transactions on systems, man, and cybernetics: Systems. 2019 Aug 19;51(7):4217-26. (top rank TR-master journal)
[DOI: 10.1109/TSMC.2019.2932000, pdf] (OPUS)
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 IAPR International Conference on Biometrics (ICB 2018), (in press), Queensland, Australia, 2018. 10.1109/ICB2018.2018.00029 (OPUS)
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), 2018.10.1109/ICoIAS.2018.8494109 (OPUS)
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) (OPUS)10.1109/ICoIAS.2018.8494109
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 TR-master journal)
[DOI 10.1007/s11042-018-5912-x, pdf] (OPUS)
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. (top rank TR-master journal)
[DOI: 10.1117/1.JEI.27.3.033036 ] (OPUS)
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] (OPUS)
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] (OPUS)
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.] (OPUS)
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] (OPUS)
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) (OPUS)
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] (OPUS)
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] (OPUS)
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] (OPUS)
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)] (OPUS)
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) (OPUS)
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 (OPUS)
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] (OPUS)
Wittig, M. Rätsch, U. Kloos. Parameterized Facial Animation for Socially Interactive Robots, Human and Computer (M&C), pp 355-358. 2015. (OPUS)
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 and …
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] (OPUS)
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.