| A multiresolution 3d morphable face model and fitting framework P Huber, G Hu, R Tena, P Mortazavian, P Koppen, WJ Christmas, ... Proceedings of the 11th International Joint Conference on Computer Vision …, 2016 | 214 | 2016 |
| Fitting 3d morphable face models using local features P Huber, ZH Feng, W Christmas, J Kittler, M Rätsch 2015 IEEE international conference on image processing (ICIP), 1195-1199, 2015 | 90 | 2015 |
| Efficient face detection by a cascaded support vector machine using haar-like features M Rätsch, S Romdhani, T Vetter Joint Pattern Recognition Symposium, 62-70, 2004 | 53 | 2004 |
| Mobile-Unet: An efficient convolutional neural network for fabric defect detection J Jing, Z Wang, M Rätsch, H Zhang Textile Research Journal 92 (1-2), 30-42, 2022 | 43 | 2022 |
| Deep adversarial domain adaptation model for bearing fault diagnosis ZH Liu, BL Lu, HL Wei, L Chen, XH Li, M Rätsch IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (7), 4217-4226, 2019 | 34 | 2019 |
| Evaluation of dense 3D reconstruction from 2D face images in the wild ZH Feng, P Huber, J Kittler, P Hancock, XJ Wu, Q Zhao, P Koppen, ... 2018 13th IEEE International Conference on Automatic Face & Gesture …, 2018 | 32 | 2018 |
| Multimodal neural networks: Rgb-d for semantic segmentation and object detection L Schneider, M Jasch, B Fröhlich, T Weber, U Franke, M Pollefeys, ... Scandinavian conference on image analysis, 98-109, 2017 | 32 | 2017 |
| An interactive clothing design and personalized virtual display system X Zhu, H Lu, M Rätsch Multimedia tools and applications 77 (20), 27163-27179, 2018 | 21 | 2018 |
| Conformal mapping of a 3D face representation onto a 2D image for CNN based face recognition J Kittler, P Koppen, P Kopp, P Huber, M Rätsch 2018 International Conference on Biometrics (ICB), 124-131, 2018 | 18 | 2018 |
| Real-time 3D face fitting and texture fusion on in-the-wild videos P Huber, P Kopp, W Christmas, M Rätsch, J Kittler IEEE Signal Processing Letters 24 (4), 437-441, 2016 | 18 | 2016 |
| Wavelet frame accelerated reduced support vector machines M Ratsch, G Teschke, S Romdhani, T Vetter IEEE Transactions on Image Processing 17 (12), 2456-2464, 2008 | 14 | 2008 |
| Wavelet reduced support vector regression for efficient and robust head pose estimation M Ratsch, P Quick, P Huber, T Frank, T Vetter 2012 Ninth Conference on Computer and Robot Vision, 260-267, 2012 | 12 | 2012 |
| Over-complete wavelet approximation of a support vector machine for efficient classification M Rätsch, S Romdhani, G Teschke, T Vetter Joint Pattern Recognition Symposium, 351-360, 2005 | 11 | 2005 |
| 3D face tracking and texture fusion in the wild P Huber, P Kopp, M Rätsch, W Christmas, J Kittler arXiv preprint arXiv:1605.06764, 2016 | 8 | 2016 |
| Fusion of tracking techniques to enhance adaptive real-time tracking of arbitrary objects P Poschmann, P Huber, M Rätsch, J Kittler, HJ Böhme Procedia Computer Science 39, 162-165, 2014 | 6 | 2014 |
| Coarse-to-fine particle filters for multi-object human computer interaction M Rätsch, C Blumer, G Teschke, T Vetter 2009 IEEE International Workshop on Intelligent Data Acquisition and …, 2009 | 6 | 2009 |
| Emotion model implementation for parameterized facial animation in human-robot-interaction S Wittig, U Kloos, M Rätsch | 5 | 2016 |
| A 3D face modelling approach for pose-invariant face recognition in a human-robot environment M Grupp, P Kopp, P Huber, M Rätsch Robot World Cup, 121-134, 2016 | 5 | 2016 |
| Closed-form solution for IMU based LSD-SLAM point cloud conversion into the scaled 3D world environment S Triputen, K Schreve, V Tkachev, M Ratsch arXiv preprint arXiv:1707.05982, 2017 | 4 | 2017 |
| Personalized clothing recommendation based on user emotional analysis X Su, M Gao, J Ren, Y Li, M Rätsch Discrete Dynamics in Nature and Society 2020, 2020 | 3 | 2020 |
Patrik HuberDepartment of Computer Science, University of York, UKVerified email at york.ac.uk
