Matthias Rätsch

发表

CASCADED CONDENSATION TRACKING FOR MULTIPLE OBJECTS

Matthias Rätsch, 2009 .

Semantic Risk-aware Costmaps for Robots in Industrial Applications using Deep Learning on Abstracted Safety Classes from Synthetic Data

A. Zell, Bo Zhang, Matthias Rätsch, 2022, VISIGRAPP.

Wavelet Frame Accelerated Reduced

T. Vetter, G. Teschke, S. Romdhani, 2008 .

A Multiresolution 3D Morphable Face Model and Fitting Framework

William J. Christmas, Josef Kittler, Patrik Huber, 2016, VISIGRAPP.

Fitting 3D Morphable Models using Local Features pdf

William J. Christmas, Josef Kittler, Patrik Huber, 2015, arXiv.org.

An interactive clothing design and personalized virtual display system

Matthias Rätsch, Xinjuan Zhu, Haiqing Lu, 2018, Multimedia Tools and Applications.

A 3D Face Modelling Approach for Pose-Invariant Face Recognition in a Human-Robot Environment pdf

Patrik Huber, Matthias Rätsch, Philipp Kopp, 2016, RoboCup.

Mobile-Unet: An efficient convolutional neural network for fabric defect detection

Junfeng Jing, Huanhuan Zhang, Zhen Wang, 2020, Textile Research Journal.

Real-Time 3D Face Fitting and Texture Fusion on In-the-Wild Videos

William J. Christmas, Josef Kittler, Patrik Huber, 2017, IEEE Signal Processing Letters.

3D Face Tracking and Texture Fusion in the Wild pdf

William J. Christmas, Josef Kittler, Patrik Huber, 2016, ArXiv.

Emotion Model Implementation for Parameterized Facial Animation in Human-Robot-Interaction

Uwe Kloos, Matthias Rätsch, Steffen Wittig, 2016, J. Comput..

Multimodal Neural Networks: RGB-D for Semantic Segmentation and Object Detection

Marc Pollefeys, Matthias Rätsch, Lukas Schneider, 2017, SCIA.

Parameterized Facial Animation for Socially Interactive Robots

Uwe Kloos, Matthias Rätsch, Steffen Wittig, 2015, MuC.

Evaluation of Dense 3D Reconstruction from 2D Face Images in the Wild

Qijun Zhao, Josef Kittler, Xiaojun Wu, 2018, 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018).

Deep Learning-based EEG Detection of Mental Alertness States from Drivers under Ethical Aspects

Bo Zhang, Matthias Rätsch, Tobias Gerlach, 2021, ICAAI.

Deep Adversarial Domain Adaptation Model for Bearing Fault Diagnosis

Matthias Rätsch, Lei Chen, Zhao-Hua Liu, 2021, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Follow Me: Real-Time in the Wild Person Tracking Application for Autonomous Robotics

Matthias Rätsch, Kristiaan Schreve, Sascha Braun, 2017, RoboCup.

Efficient object tracking by condentional and cascaded image sensing

Matthias Rätsch, Thomas Vetter, Clemens Blumer, 2012, Comput. Stand. Interfaces.

3D CASCADED CONDENSATION TRACKING FOR MULTIPLE OBJECTS

Matthias Rätsch, Thomas Vetter, Clemens Blumer, 2010 .

Wavelet frame accelerated reduced vector machine for efficient image analysis

Matthias Rätsch, Matthias Rätsch, 2008 .

Fitting 3D Morphable Face Models using local features

William J. Christmas, Josef Kittler, Patrik Huber, 2015, 2015 IEEE International Conference on Image Processing (ICIP).

Simulating Temporally and Spatially Correlated Wind Speed Time Series by Spectral Representation Method

Qing Xiao, Matthias Rätsch, Lianghong Wu, 2023, Complex System Modeling and Simulation.

Automatic identification of focus personage in multi-lingual news images

J. Ren, Xueping Su, Matthias Rätsch, 2021, Multimedia Tools and Applications.

Face naming in news images via multiple instance learning and hybrid recurrent convolutional neural network

Matthias Rätsch, Xueping Su, Hangchi Zhou, 2018, J. Electronic Imaging.

Conformal Mapping of a 3D Face Representation onto a 2D Image for CNN Based Face Recognition

Josef Kittler, Patrik Huber, Matthias Rätsch, 2018, 2018 International Conference on Biometrics (ICB).

Texture-based 3D Face Recognition using Deep Neural Networks for Unconstrained Human-machine Interaction

Patrik Huber, Matthias Rätsch, Josef Kittler, 2020, VISIGRAPP.

Ethically aligned Deep Learning: Unbiased Facial Aesthetic Prediction pdf

Matthias Rätsch, Xueping Su, Michael Danner, 2021, ArXiv.

Personalized Clothing Recommendation Based on User Emotional Analysis

Gao Meng, Matthias Rätsch, Xueping Su, 2020, Discrete Dynamics in Nature and Society.

Efficient Face Detection by a Cascaded Support Vector Machine Using Haar-Like Features

Sami Romdhani, Matthias Rätsch, Thomas Vetter, 2004, DAGM-Symposium.