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2020 – today
- 2024
[j14]Shang Aiguo, Xinjuan Zhu
, Michael Danner, Matthias Rätsch:
Unsupervised question-retrieval approach based on topic keywords filtering and multi-task learning. Comput. Speech Lang. 87: 101644 (2024)- [j13]Julia Ohse, Bakir Hadzic, Parvez Mohammed, Nicolina Laura Peperkorn, Michael Danner, Akihiro Yorita, Naoyuki Kubota, Matthias Rätsch, Youssef Shiban:
Zero-Shot Strike: Testing the generalisation capabilities of out-of-the-box LLM models for depression detection. Comput. Speech Lang. 88: 101663 (2024) - [j12]Xueping Su, Jiawei Duan, Jie Ren, Yunhong Li, Michael Danner, Matthias Rätsch, Jinye Peng:
Personalized clothing recommendation fusing the 4-season color system and users' biological characteristics. Multim. Tools Appl. 83(5): 12597-12625 (2024) - [j11]Xueping Su, Xingkai Zhao, Jie Ren, Yunhong Li, Matthias Rätsch:
Pre-training neural machine translation with alignment information via optimal transport. Multim. Tools Appl. 83(16): 48377-48397 (2024) - [c29]Youssef Nassar, Mario Radke, Atmaraaj Gopal, Tobias Knöller, Thomas Weber, Zhao-Hua Liu, Matthias Rätsch:
BiGSiD: Bionic Grasping with Edge-AI Slip Detection. ROBOVIS 2024: 152-163 - [c28]Yuzhi Lai, Mario Radke, Youssef Nassar, Atmaraaj Gopal, Thomas Weber, Zhaohua Liu, Yihong Zhang, Matthias Rätsch:
Intuitive Multi-modal Human-Robot Interaction via Posture and Voice. ROBOVIS 2024: 441-456 - [c27]Akihiro Yorita, Mario Radke, Matthias Rätsch, Naoyuki Kubota:
Self-Categorization Theory with 3D Emotional Model for Chatbot Emotional Support Systems. SACI 2024: 267-272 - [c26]Bakir Hadzic, Julia Ohse, Michael Danner, Nicolina Laura Peperkorn, Parvez Mohammed, Youssef Shiban, Matthias Rätsch:
AI-Supported Diagnostic of Depression Using Clinical Interviews: A Pilot Study. VISIGRAPP (1): GRAPP, HUCAPP, IVAPP 2024: 500-507 - 2023
- [j10]Qing Xiao, Lianghong Wu, Xiaowen Wu, Matthias Rätsch:
Simulating Temporally and Spatially Correlated Wind Speed Time Series by Spectral Representation Method. Complex Syst. Model. Simul. 3(2): 157-168 (2023) - [c25]Michael Danner, Bakir Hadzic, Thomas Weber, Xinjuan Zhu, Matthias Rätsch:
Towards Equitable AI in HR: Designing a Fair, Reliable, and Transparent Human Resource Management Application. DeLTA 2023: 308-325 - [c24]Michael Danner, Patrik Huber, Muhammad Awais, Matthias Rätsch, Josef Kittler:
GAN-Powered Model &Landmark-Free Reconstruction: A Versatile Approach for High-Quality 3D Facial and Object Recovery from Single Images. DeLTA 2023: 403-418 - [c23]Michael Danner, Elena Alida Brake, Christian Decker, Matthias Rätsch, Yordan Kyosev, Katerina Rose:
Evaluation of Low-Cost 3D Scanner Hardware for Clothing Industry. ICINCO (1) 2023: 727-735 - [c22]Shang Aiguo, Michael Danner, Xinjuan Zhu, Matthias Rätsch:
TFCSG: An Unsupervised Approach for Question-retrieval Over Multi-task Learning. SICE 2023: 610-615 - [c21]Michael Danner, Bakir Hadzic, Sophie Gerhardt, Simon Ludwig, Irem Uslu, Peng Shao, Thomas Weber, Youssef Shiban, Matthias Rätsch:
Advancing Mental Health Diagnostics: GPT-Based Method for Depression Detection. SICE 2023: 1290-1296 - [c20]Michael Danner, Bakir Hadzic, Robert Radloff, Xueping Su, Le Ping Peng, Thomas Weber, Matthias Rätsch:
Overcome Ethnic Discrimination with Unbiased Machine Learning for Facial Data Sets. VISIGRAPP (5: VISAPP) 2023: 464-471 - 2022
- [c19]Michael Danner, Thomas Weber, Patrik Huber, Muhammad Awais, Matthias Rätsch, Josef Kittler:
Evolutional Normal Maps: 3D Face Representations for 2D-3D Face Recognition, Face Modelling and Data Augmentation. VISIGRAPP (5: VISAPP) 2022: 267-274 - [c18]Thomas Weber, Michael Danner, Bo Zhang, Matthias Rätsch, Andreas Zell:
Semantic Risk-aware Costmaps for Robots in Industrial Applications using Deep Learning on Abstracted Safety Classes from Synthetic Data. VISIGRAPP (4: VISAPP) 2022: 984-990 - 2021
- [j9]Xueping Su, Danyao Zhu, Jie Ren, Matthias Rätsch:
Automatic identification of focus personage in multi-lingual news images. Multim. Tools Appl. 80(7): 11015-11030 (2021) - [j8]Zhao-Hua Liu, Bi-Liang Lu, Hua-Liang Wei, Lei Chen, Xiao-Hua Li, Matthias Rätsch:
Deep Adversarial Domain Adaptation Model for Bearing Fault Diagnosis. IEEE Trans. Syst. Man Cybern. Syst. 51(7): 4217-4226 (2021) - [c17]Tihomir Rohlinger, Le Ping Peng, Tobias Gerlach, Paul Pasler, Bo Zhang, Ralf Seepold, Natividad Martínez Madrid, Matthias Rätsch:
Deep Learning-based EEG Detection of Mental Alertness States from Drivers under Ethical Aspects. ICAAI 2021: 54-64 - [i7]Michael Danner, Thomas Weber, Le Ping Peng, Tobias Gerlach, Xueping Su, Matthias Rätsch:
Ethically aligned Deep Learning: Unbiased Facial Aesthetic Prediction. CoRR abs/2111.05149 (2021) - 2020
- [c16]Michael Danner, Patrik Huber, Muhammad Awais, Zhen-Hua Feng, Josef Kittler, Matthias Rätsch:
Texture-based 3D Face Recognition using Deep Neural Networks for Unconstrained Human-machine Interaction. VISIGRAPP (5: VISAPP) 2020: 420-427 - [c15]Tobias Gerlach, Michael Danner, Le Ping Peng, Aidas Kaminickas, Wu Fei, Matthias Rätsch:
Who Loves Virtue as much as He Loves Beauty?: Deep Learning based Estimator for Aesthetics of Portraits. VISIGRAPP (5: VISAPP) 2020: 521-528
2010 – 2019
- 2019
- [c14]Thomas Weber, Sergey Triputen, Atmaraaj Gopal, Steffen Eißler, Christian Höfert, Kristiaan Schreve, Matthias Rätsch:
Efficient and Robust 3D Object Reconstruction Based on Monocular SLAM and CNN Semantic Segmentation. RoboCup 2019: 351-363 - 2018
- [j7]Manuel Jasch, Thomas Weber, Matthias Rätsch:
Fast and Robust RGB-D Scene Labeling for Autonomous Driving. J. Comput. 13(4): 393-400 (2018) - [j6]Xueping Su, Hangchi Zhou, Viorel Petrut Draghici, Matthias Rätsch:
Face naming in news images via multiple instance learning and hybrid recurrent convolutional neural network. J. Electronic Imaging 27(03): 033036 (2018) - [j5]Xinjuan Zhu, Haiqing Lu, Matthias Rätsch:
An interactive clothing design and personalized virtual display system. Multim. Tools Appl. 77(20): 27163-27179 (2018) - [c13]Zhen-Hua Feng, Patrik Huber, Josef Kittler, Peter J. B. Hancock, Xiao-Jun Wu, Qijun Zhao, Paul Koppen, Matthias Rätsch:
Evaluation of Dense 3D Reconstruction from 2D Face Images in the Wild. FG 2018: 780-786 - [c12]Josef Kittler, Paul Koppen, Philipp Kopp, Patrik Huber, Matthias Rätsch:
Conformal Mapping of a 3D Face Representation onto a 2D Image for CNN Based Face Recognition. ICB 2018: 124-131 - [i6]Sergey Triputen, Atmaraaj Gopal, Thomas Weber, Christian Höfert, Kristiaan Schreve, Matthias Rätsch:
Methodology to analyze the accuracy of 3D objects reconstructed with collaborative robot based monocular LSD-SLAM. CoRR abs/1803.02257 (2018) - [i5]Zhen-Hua Feng, Patrik Huber, Josef Kittler, Peter J. B. Hancock, Xiaojun Wu, Qijun Zhao, Paul Koppen, Matthias Rätsch:
Evaluation of Dense 3D Reconstruction from 2D Face Images in the Wild. CoRR abs/1803.05536 (2018) - 2017
- [j4]Patrik Huber, Philipp Kopp, William J. Christmas, Matthias Rätsch, Josef Kittler:
Real-Time 3D Face Fitting and Texture Fusion on In-the-Wild Videos. IEEE Signal Process. Lett. 24(4): 437-441 (2017) - [c11]Thomas Weber, Sergey Triputen, Michael Danner, Sascha Braun, Kristiaan Schreve, Matthias Rätsch:
Follow Me: Real-Time in the Wild Person Tracking Application for Autonomous Robotics. RoboCup 2017: 156-167 - [c10]Lukas Schneider, Manuel Jasch, Björn Fröhlich, Thomas Weber, Uwe Franke, Marc Pollefeys, Matthias Rätsch:
Multimodal Neural Networks: RGB-D for Semantic Segmentation and Object Detection. SCIA (1) 2017: 98-109 - [i4]Sergey Triputen, Kristiaan Schreve, Viktor Tkachev, Matthias Rätsch:
Closed-form Solution for IMU based LSD-SLAM Point Cloud Conversion into the Scaled 3D World Environment. CoRR abs/1707.05982 (2017) - 2016
- [j3]Steffen Wittig, Uwe Kloos, Matthias Rätsch:
Emotion Model Implementation for Parameterized Facial Animation in Human-Robot-Interaction. J. Comput. 11(6): 439-445 (2016) - [c9]Michael Grupp, Philipp Kopp, Patrik Huber, Matthias Rätsch:
A 3D Face Modelling Approach for Pose-Invariant Face Recognition in a Human-Robot Environment. RoboCup 2016: 121-134 - [c8]Patrik Huber, William J. Christmas, Adrian Hilton, Josef Kittler, Matthias Rätsch:
Real-time 3D face super-resolution from monocular in-the-wild videos. SIGGRAPH Posters 2016: 67:1-67:2 - [c7]Patrik Huber, Guosheng Hu, Jose Rafael Tena, Pouria Mortazavian, Willem P. Koppen, William J. Christmas, Matthias Rätsch, Josef Kittler:
A Multiresolution 3D Morphable Face Model and Fitting Framework. VISIGRAPP (4: VISAPP) 2016: 79-86 - [i3]Patrik Huber, Philipp Kopp, Matthias Rätsch, William J. Christmas, Josef Kittler:
3D Face Tracking and Texture Fusion in the Wild. CoRR abs/1605.06764 (2016) - [i2]Michael Grupp, Philipp Kopp, Patrik Huber, Matthias Rätsch:
A 3D Face Modelling Approach for Pose-Invariant Face Recognition in a Human-Robot Environment. CoRR abs/1606.00474 (2016) - 2015
- [c6]Patrik Huber, Zhen-Hua Feng, William J. Christmas, Josef Kittler, Matthias Rätsch:
Fitting 3D Morphable Face Models using local features. ICIP 2015: 1195-1199 - [c5]Steffen Wittig, Matthias Rätsch, Uwe Kloos:
Parameterized Facial Animation for Socially Interactive Robots. MuC 2015: 355-358 - [i1]Patrik Huber, Zhen-Hua Feng, William J. Christmas, Josef Kittler, Matthias Rätsch:
Fitting 3D Morphable Models using Local Features. CoRR abs/1503.02330 (2015) - 2014
- [c4]Peter Poschmann, Patrik Huber, Matthias Rätsch, Josef Kittler, Hans-Joachim Böhme:
Fusion of Tracking Techniques to Enhance Adaptive Real-time Tracking of Arbitrary Objects. IHCI 2014: 162-165 - 2012
- [j2]Matthias Rätsch, Clemens Blumer, Thomas Vetter, Gerd Teschke:
Efficient object tracking by condentional and cascaded image sensing. Comput. Stand. Interfaces 34(6): 549-557 (2012) - [c3]Matthias Rätsch, Philip Quick, Patrik Huber, Tatjana Frank, Thomas Vetter:
Wavelet Reduced Support Vector Regression for Efficient and Robust Head Pose Estimation. CRV 2012: 260-267
2000 – 2009
- 2008
- [j1]Matthias Rätsch, Gerd Teschke, Sami Romdhani, Thomas Vetter:
Wavelet Frame Accelerated Reduced Support Vector Machines. IEEE Trans. Image Process. 17(12): 2456-2464 (2008) - 2005
- [c2]Matthias Rätsch, Sami Romdhani, Gerd Teschke, Thomas Vetter:
Over-Complete Wavelet Approximation of a Support Vector Machine for Efficient Classification. DAGM-Symposium 2005: 351-360 - 2004
- [c1]Matthias Rätsch, Sami Romdhani, Thomas Vetter:
Efficient Face Detection by a Cascaded Support Vector Machine Using Haar-Like Features. DAGM-Symposium 2004: 62-70
Coauthor Index
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last updated on 2024-10-07 21:26 CEST by the dblp team
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