| A multiresolution 3d morphable face model and fitting framework P Huber, G Hu, R Tena, P Mortazavian, WP Koppen, WJ Christmas, ... International conference on computer vision theory and applications 5, 79-86, 2016 | 298 | 2016 |
| 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 | 241 | 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 | 119 | 2019 |
| 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 | 110 | 2015 |
| 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 | 75 | 2018 |
| Multimodal neural networks: RGB-D for semantic segmentation and object detection L Schneider, M Jasch, B Fröhlich, T Weber, U Franke, M Pollefeys, ... Image Analysis: 20th Scandinavian Conference, SCIA 2017, Tromsø, Norway …, 2017 | 53 | 2017 |
| Efficient face detection by a cascaded support vector machine using haar-like features M Rätsch, S Romdhani, T Vetter Pattern Recognition: 26th DAGM Symposium, Tübingen, Germany, August 30 …, 2004 | 52 | 2004 |
| An interactive clothing design and personalized virtual display system X Zhu, H Lu, M Rätsch Multimedia tools and applications 77 (20), 27163-27179, 2018 | 39 | 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 | 29 | 2016 |
| 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 | 22 | 2018 |
| 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 (1), 7954393, 2020 | 20 | 2020 |
| Advancing mental health diagnostics: GPT-based method for depression detection M Danner, B Hadzic, S Gerhardt, S Ludwig, I Uslu, P Shao, T Weber, ... 2023 62nd Annual Conference of the Society of Instrument and Control …, 2023 | 17 | 2023 |
| 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 | 15 | 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 Pattern Recognition: 27th DAGM Symposium, Vienna, Austria, August 31 …, 2005 | 11 | 2005 |
| A 3D face modelling approach for pose-invariant face recognition in a human-robot environment M Grupp, P Kopp, P Huber, M Rätsch RoboCup 2016: Robot World Cup XX 20, 121-134, 2017 | 8 | 2017 |
| 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 | 8 | 2014 |
| Follow me: Real-time in the wild person tracking application for autonomous robotics T Weber, S Triputen, M Danner, S Braun, K Schreve, M Rätsch RoboCup 2017: Robot World Cup XXI 11, 156-167, 2018 | 7 | 2018 |
| Emotion model implementation for parameterized facial animation in human-robot-interaction S Wittig, U Kloos, M Rätsch Journal of computers 11 (6), 439-445, 2016 | 6 | 2016 |
Patrik HuberDepartment of Computer Science, University of York, UKEmail verificata su york.ac.uk