| Flow fields: Dense correspondence fields for highly accurate large displacement optical flow estimation C Bailer, B Taetz, D Stricker Proceedings of the IEEE international conference on computer vision, 4015-4023, 2015 | 205 | 2015 |
| On inertial body tracking in the presence of model calibration errors M Miezal, B Taetz, G Bleser Sensors 16 (7), 1132, 2016 | 66 | 2016 |
| An unstaggered constrained transport method for the 3D ideal magnetohydrodynamic equations C Helzel, JA Rossmanith, B Taetz Journal of Computational Physics 230 (10), 3803-3829, 2011 | 53 | 2011 |
| Towards self-calibrating inertial body motion capture B Taetz, G Bleser, M Miezal 2016 19th International Conference on Information Fusion (FUSION), 1751-1759, 2016 | 46 | 2016 |
| Validity, test-retest reliability and long-term stability of magnetometer free inertial sensor based 3D joint kinematics W Teufl, M Miezal, B Taetz, M Fröhlich, G Bleser Sensors 18 (7), 1980, 2018 | 41 | 2018 |
| Towards inertial sensor based mobile gait analysis: Event-detection and spatio-temporal parameters W Teufl, M Lorenz, M Miezal, B Taetz, M Fröhlich, G Bleser Sensors 19 (1), 38, 2019 | 40 | 2019 |
| Extended coherent point drift algorithm with correspondence priors and optimal subsampling V Golyanik, B Taetz, G Reis, D Stricker 2016 IEEE Winter Conference on Applications of Computer Vision (WACV), 1-9, 2016 | 35 | 2016 |
| IMU-to-segment assignment and orientation alignment for the lower body using deep learning T Zimmermann, B Taetz, G Bleser Sensors 18 (1), 302, 2018 | 32 | 2018 |
| Validity of inertial sensor based 3D joint kinematics of static and dynamic sport and physiotherapy specific movements W Teufl, M Miezal, B Taetz, M Fröhlich, G Bleser PloS one 14 (2), e0213064, 2019 | 27 | 2019 |
| Real-time inertial lower body kinematics and ground contact estimation at anatomical foot points for agile human locomotion M Miezal, B Taetz, G Bleser 2017 IEEE international conference on robotics and automation (ICRA), 3256-3263, 2017 | 20 | 2017 |
| A high-order unstaggered constrained-transport method for the three-dimensional ideal magnetohydrodynamic equations based on the method of lines C Helzel, JA Rossmanith, B Taetz SIAM Journal on Scientific Computing 35 (2), A623-A651, 2013 | 18 | 2013 |
| Occlusion-aware video registration for highly non-rigid objects B Taetz, G Bleser, V Golyanik, D Stricke 2016 IEEE Winter Conference on Applications of Computer Vision (WACV), 1-9, 2016 | 14 | 2016 |
| Towards an Inertial Sensor-Based Wearable Feedback System for Patients after Total Hip Arthroplasty: Validity and Applicability for Gait Classification with Gait Kinematics … W Teufl, B Taetz, M Miezal, M Lorenz, J Pietschmann, T Jöllenbeck, ... Sensors 19 (22), 5006, 2019 | 9 | 2019 |
| Development of an Inertial Motion Capture System for Clinical Application: Potentials and challenges from the technology and application perspectives G Bleser, B Taetz, M Miezal, CA Christmann, D Steffen, K Regenspurger i-com 16 (2), 113-129, 2017 | 9 | 2017 |
| Ambulatory inertial spinal tracking using constraints M Miezal, B Taetz, N Schmitz, G Bleser Proceedings of the 9th International Conference on Body Area Networks, 131-134, 2014 | 9 | 2014 |
| [POSTER] A Probabilistic Combination of CNN and RNN Estimates for Hand Gesture Based Interaction in Car A Tewari, B Taetz, F Grandidier, D Stricker 2017 IEEE International Symposium on Mixed and Augmented Reality (ISMAR …, 2017 | 8 | 2017 |
| A framework for an accurate point cloud based registration of full 3d human body scans V Golyanik, G Reis, B Taetz, D Strieker 2017 Fifteenth IAPR International Conference on Machine Vision Applications …, 2017 | 7 | 2017 |
| Optical Flow Fields: Dense correspondence fields for highly accurate large displacement optical flow estimation C Bailer, B Taetz, D Stricker arXiv preprint arXiv:1703.02563 170302563, 2017 | 7 | 2017 |
| Joint pre-alignment and robust rigid point set registration V Golyanik, B Taetz, D Stricker 2016 IEEE International Conference on Image Processing (ICIP), 4503-4507, 2016 | 7 | 2016 |
| Adding Model Constraints to CNN for Top View Hand Pose Recognition in Range Images. A Tewari, F Grandidier, B Taetz, D Stricker ICPRAM, 170-177, 2016 | 6 | 2016 |
Gabriele BleserTechnische Universität Kaiserslautern / German Research Center for Artificial IntelligenceVerified email at cs.uni-kl.de
