Efficient Face Detection by a Cascaded Support Vector Machine Using Haar-Like Features. - Matthias Rätsch; Sami Romdhani; Thomas Vetter (DAGM-Symposium, 2004)

Over-Complete Wavelet Approximation of a Support Vector Machine for Efficient Classification. - Matthias Rätsch; Sami Romdhani; Gerd Teschke; Thomas Vetter (DAGM-Symposium, 2005)

Wavelet Frame Accelerated Reduced Support Vector Machines. - Matthias Rätsch; Gerd Teschke; Sami Romdhani; Thomas Vetter (IEEE Trans. Image Process., 2008)

Wavelet Reduced Support Vector Regression for Efficient and Robust Head Pose Estimation. - Matthias Rätsch; Philip Quick; Patrik Huber 001; Tatjana Frank; Thomas Vetter (CRV, 2012)

Efficient object tracking by condentional and cascaded image sensing. - Matthias Rätsch; Clemens Blumer; Thomas Vetter; Gerd Teschke (Comput. Stand. Interfaces, 2012)

Fusion of Tracking Techniques to Enhance Adaptive Real-time Tracking of Arbitrary Objects. - Peter Poschmann; Patrik Huber 001; Matthias Rätsch; Josef Kittler; Hans-Joachim Böhme (IHCI, 2014)

Fitting 3D Morphable Face Models using local features. - Patrik Huber 001; Zhenhua Feng 001; William J. Christmas; Josef Kittler; Matthias Rätsch (ICIP, 2015)

Parameterized Facial Animation for Socially Interactive Robots. - Steffen Wittig; Matthias Rätsch; Uwe Kloos (MuC, 2015)

Fitting 3D Morphable Models using Local Features. - Patrik Huber 001; Zhenhua Feng 001; William J. Christmas; Josef Kittler; Matthias Rätsch (CoRR, 2015)

A 3D Face Modelling Approach for Pose-Invariant Face Recognition in a Human-Robot Environment. - Michael Grupp; Philipp Kopp; Patrik Huber 001; Matthias Rätsch (RoboCup, 2016)

Real-time 3D face super-resolution from monocular in-the-wild videos. - Patrik Huber 001; William J. Christmas; Adrian Hilton 001; Josef Kittler; Matthias Rätsch (SIGGRAPH Posters, 2016)

A Multiresolution 3D Morphable Face Model and Fitting Framework. - Patrik Huber 001; Guosheng Hu; Jose Rafael Tena; Pouria Mortazavian; Willem P. Koppen; William J. Christmas; Matthias Rätsch; Josef Kittler (VISIGRAPP (4: VISAPP), 2016)

3D Face Tracking and Texture Fusion in the Wild. - Patrik Huber 001; Philipp Kopp; Matthias Rätsch; William J. Christmas; Josef Kittler (CoRR, 2016)

Emotion Model Implementation for Parameterized Facial Animation in Human-Robot-Interaction. - Steffen Wittig; Uwe Kloos; Matthias Rätsch (J. Comput., 2016)

Follow Me: Real-Time in the Wild Person Tracking Application for Autonomous Robotics. - Thomas Weber; Sergey Triputen; Michael Danner; Sascha Braun; Kristiaan Schreve; Matthias Rätsch (RoboCup, 2017)

Multimodal Neural Networks: RGB-D for Semantic Segmentation and Object Detection. - Lukas Schneider; Manuel Jasch; Björn Fröhlich; Thomas Weber; Uwe Franke; Marc Pollefeys; Matthias Rätsch (SCIA (1), 2017)

Closed-form Solution for IMU based LSD-SLAM Point Cloud Conversion into the Scaled 3D World Environment. - Sergey Triputen; Kristiaan Schreve; Viktor Tkachev; Matthias Rätsch (CoRR, 2017)

Real-Time 3D Face Fitting and Texture Fusion on In-the-Wild Videos. - Patrik Huber 001; Philipp Kopp; William J. Christmas; Matthias Rätsch; Josef Kittler (IEEE Signal Process. Lett., 2017)

Evaluation of Dense 3D Reconstruction from 2D Face Images in the Wild. - Zhenhua Feng 001; Patrik Huber 001; Josef Kittler; Peter J. B. Hancock; Xiao-Jun Wu 001; Qijun Zhao; Paul Koppen; Matthias Rätsch (FG, 2018)

Conformal Mapping of a 3D Face Representation onto a 2D Image for CNN Based Face Recognition. - Josef Kittler; Paul Koppen; Philipp Kopp; Patrik Huber 001; Matthias Rätsch (ICB, 2018)

Methodology to analyze the accuracy of 3D objects reconstructed with collaborative robot based monocular LSD-SLAM. - Sergey Triputen; Atmaraaj Gopal; Thomas Weber; Christian Höfert; Kristiaan Schreve; Matthias Rätsch (CoRR, 2018)

Fast and Robust RGB-D Scene Labeling for Autonomous Driving. - Manuel Jasch; Thomas Weber; Matthias Rätsch (J. Comput., 2018)

Face naming in news images via multiple instance learning and hybrid recurrent convolutional neural network. - Xueping Su; Hangchi Zhou; Viorel Petrut Draghici; Matthias Rätsch (J. Electronic Imaging, 2018)

An interactive clothing design and personalized virtual display system. - Xinjuan Zhu; Haiqing Lu; Matthias Rätsch (Multim. Tools Appl., 2018)

Efficient and Robust 3D Object Reconstruction Based on Monocular SLAM and CNN Semantic Segmentation. - Thomas Weber; Sergey Triputen; Atmaraaj Gopal; Steffen Eißler; Christian Höfert; Kristiaan Schreve; Matthias Rätsch (RoboCup, 2019)

Texture-based 3D Face Recognition using Deep Neural Networks for Unconstrained Human-machine Interaction. - Michael Danner; Patrik Huber 001; Muhammad Awais 001; Zhenhua Feng 001; Josef Kittler; Matthias Rätsch (VISIGRAPP (5: VISAPP), 2020)

Who Loves Virtue as much as He Loves Beauty?: Deep Learning based Estimator for Aesthetics of Portraits. - Tobias Gerlach; Michael Danner; Le Ping Peng; Aidas Kaminickas; Wu Fei; Matthias Rätsch (VISIGRAPP (5: VISAPP), 2020)

Deep Learning-based EEG Detection of Mental Alertness States from Drivers under Ethical Aspects. - Tihomir Rohlinger; Le Ping Peng; Tobias Gerlach; Paul Pasler; Bo Zhang; Ralf Seepold; Natividad Martínez Madrid; Matthias Rätsch (ICAAI, 2021)

Ethically aligned Deep Learning: Unbiased Facial Aesthetic Prediction. - Michael Danner; Thomas Weber; Le Ping Peng; Tobias Gerlach; Xueping Su; Matthias Rätsch (CoRR, 2021)

Automatic identification of focus personage in multi-lingual news images. - Xueping Su; Danyao Zhu; Jie Ren; Matthias Rätsch (Multim. Tools Appl., 2021)

Deep Adversarial Domain Adaptation Model for Bearing Fault Diagnosis. - Zhao-Hua Liu; Bi-Liang Lu; Hua-Liang Wei; Lei Chen 045; Xiao-Hua Li; Matthias Rätsch (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Evolutional Normal Maps: 3D Face Representations for 2D-3D Face Recognition, Face Modelling and Data Augmentation. - Michael Danner; Thomas Weber; Patrik Huber 001; Muhammad Awais 001; Matthias Rätsch; Josef Kittler (VISIGRAPP (5: VISAPP), 2022)

Semantic Risk-aware Costmaps for Robots in Industrial Applications using Deep Learning on Abstracted Safety Classes from Synthetic Data. - Thomas Weber; Michael Danner; Bo Zhang; Matthias Rätsch; Andreas Zell (VISIGRAPP (4: VISAPP), 2022)

GAN-Powered Model &Landmark-Free Reconstruction: A Versatile Approach for High-Quality 3D Facial and Object Recovery from Single Images. - Michael Danner; Patrik Huber 001; Muhammad Awais 001; Matthias Rätsch; Josef Kittler (DeLTA, 2023)

Towards Equitable AI in HR: Designing a Fair, Reliable, and Transparent Human Resource Management Application. - Michael Danner; Bakir Hadzic; Thomas Weber; Xinjuan Zhu; Matthias Rätsch (DeLTA, 2023)

Evaluation of Low-Cost 3D Scanner Hardware for Clothing Industry. - Michael Danner; Elena Alida Brake; Christian Decker 003; Matthias Rätsch; Yordan Kyosev; Katerina Rose (ICINCO (1), 2023)

TFCSG: An Unsupervised Approach for Question-retrieval Over Multi-task Learning. - Shang Aiguo; Michael Danner; Xinjuan Zhu; Matthias Rätsch (SICE, 2023)

Advancing Mental Health Diagnostics: GPT-Based Method for Depression Detection. - Michael Danner; Bakir Hadzic; Sophie Gerhardt; Simon Ludwig; Irem Uslu; Peng Shao; Thomas Weber; Youssef Shiban; Matthias Rätsch (SICE, 2023)

Overcome Ethnic Discrimination with Unbiased Machine Learning for Facial Data Sets. - Michael Danner; Bakir Hadzic; Robert Radloff; Xueping Su; Le Ping Peng; Thomas Weber; Matthias Rätsch (VISIGRAPP (5: VISAPP), 2023)

Simulating Temporally and Spatially Correlated Wind Speed Time Series by Spectral Representation Method. - Qing Xiao 001; Lianghong Wu; Xiaowen Wu; Matthias Rätsch (Complex Syst. Model. Simul., 2023)

Safety Classes Semantic Costmaps from RGBD Sensors for Risk-Aware Robot Navigation. - Thomas Weber; Shival Indermun; Mingyu Fan; Lianghong Wu; Kristiaan Schreve; Matthias Rätsch (CoDIT, 2024)

Intuitive Multi-modal Human-Robot Interaction via Posture and Voice. - Yuzhi Lai; Mario Radke; Youssef Nassar; Atmaraaj Gopal; Thomas Weber; Zhaohua Liu; Yihong Zhang; Matthias Rätsch (ROBOVIS, 2024)

BiGSiD: Bionic Grasping with Edge-AI Slip Detection. - Youssef Nassar; Mario Radke; Atmaraaj Gopal; Tobias Knöller; Thomas Weber; Zhao-Hua Liu; Matthias Rätsch (ROBOVIS, 2024)

Self-Categorization Theory with 3D Emotional Model for Chatbot Emotional Support Systems. - Akihiro Yorita; Mario Radke; Matthias Rätsch; Naoyuki Kubota (SACI, 2024)

AI-Supported Diagnostic of Depression Using Clinical Interviews: A Pilot Study. - Bakir Hadzic; Julia Ohse; Michael Danner; Nicolina Laura Peperkorn; Parvez Mohammed; Youssef Shiban; Matthias Rätsch (VISIGRAPP (1): GRAPP, HUCAPP, IVAPP, 2024)

Unsupervised question-retrieval approach based on topic keywords filtering and multi-task learning. - Shang Aiguo; Xinjuan Zhu; Michael Danner; Matthias Rätsch (Comput. Speech Lang., 2024)

Zero-Shot Strike: Testing the generalisation capabilities of out-of-the-box LLM models for depression detection. - Julia Ohse; Bakir Hadzic; Parvez Mohammed; Nicolina Laura Peperkorn; Michael Danner; Akihiro Yorita; Naoyuki Kubota; Matthias Rätsch; Youssef Shiban (Comput. Speech Lang., 2024)

Personalized clothing recommendation fusing the 4-season color system and users' biological characteristics. - Xueping Su; Jiawei Duan; Jie Ren; Yunhong Li; Michael Danner; Matthias Rätsch; Jinye Peng (Multim. Tools Appl., 2024)

Pre-training neural machine translation with alignment information via optimal transport. - Xueping Su; Xingkai Zhao; Jie Ren; Yunhong Li; Matthias Rätsch (Multim. Tools Appl., 2024)

Emotional Dynamics in Semi-Clinical Settings: Speech Emotion Recognition in Depression-Related Interviews. - Bakir Hadzic; Julia Ohse; Mohamad Eyad Alkostantini; Nicolina Laura Peperkorn; Akihiro Yorita; Thomas Weber; Naoyuki Kubota; Youssef Shiban; Matthias Rätsch (ICT4AWE, 2025)

NVP-HRI: Zero shot natural voice and posture-based human-robot interaction via large language model. - Yuzhi Lai; Shenghai Yuan; Youssef Nassar; Mingyu Fan; Thomas Weber; Matthias Rätsch (Expert Syst. Appl., 2025)

NMM-HRI: Natural Multi-modal Human-Robot Interaction with Voice and Deictic Posture via Large Language Model. - Yuzhi Lai; Shenghai Yuan; Youssef Nassar; Mingyu Fan; Atmaraaj Gopal; Akihiro Yorita; Naoyuki Kubota; Matthias Rätsch (CoRR, 2025)

Enhancing Individual Self-Efficacy Through a Self-Growing Memory Artificial Intelligence Agent Integrated with a Diary Application. - Yuchen Guo; Chyan Zheng Siow; Wei Hong Chin; Bakir Hadzic; Akihiro Yorita; Takenori Obo; Matthias Rätsch; Naoyuki Kubota (J. Adv. Comput. Intell. Intell. Informatics, 2025)