| Deep expectation of real and apparent age from a single image without facial landmarks R Rothe, R Timofte, L Van Gool International Journal of Computer Vision (IJCV), 2016 | 993 | 2016 |
| DEX: Deep EXpectation of apparent age from a single image R Rothe, R Timofte, L van Gool International Conference on Computer Vision (ICCV), Looking at People Workshop, 2015 | 831 | 2015 |
| Seven ways to improve example-based single image super resolution R Timofte, R Rothe, L Van Gool Conference on Computer Vision and Pattern Recognition (CVPR), 2016 | 499 | 2016 |
| Non-Maximum Suppression for Object Detection by Passing Messages between Windows R Rothe, M Guillaumin, L van Gool Asian Conference on Computer Vision (ACCV), 2014 | 336 | 2014 |
| Applying artificial intelligence to assess the impact of orthognathic treatment on facial attractiveness and estimated age R Patcas, DAJ Bernini, A Volokitin, E Agustsson, R Rothe, R Timofte International journal of oral and maxillofacial surgery 48 (1), 77-83, 2019 | 162 | 2019 |
| Apparent and real age estimation in still images with deep residual regressors on APPA-REAL database E Agustsson, R Timofte, S Escalera, X Baro, I Guyon, R Rothe International Conference on Automatic Face & Gesture Recognition (FG), 2017 | 126 | 2017 |
| Some like it hot - visual guidance for preference prediction R Rothe, R Timofte, L Van Gool Conference on Computer Vision and Pattern Recognition (CVPR), 2016 | 102 | 2016 |
| Structured Output SVM Prediction of Apparent Age, Gender and Smile From Deep Features M Uricar, R Timofte, R Rothe, J Matas, L Van Gool Conference on Computer Vision and Pattern Recognition (CVPR), Looking at …, 2016 | 69 | 2016 |
| From face images and attributes to attributes R Torfason, E Agustsson, R Rothe, R Timofte Asian Conference on Computer Vision (ACCV), 2016 | 32 | 2016 |
| Efficient regression priors for reducing image compression artifacts R Rothe, R Timofte, L Van Gool International Conference on Image Processing (ICIP), 2015 | 25 | 2015 |
| Picasso: A modular framework for visualizing the learning process of neural network image classifiers R Henderson, R Rothe arXiv preprint arXiv:1705.05627, 2017 | 15 | 2017 |
| DLDR: Deep Linear Discriminative Retrieval for cultural event classification from a single image R Rothe, R Timofte, L van Gool International Conference on Computer Vision (ICCV), Looking at People Workshop, 2015 | 12 | 2015 |
| Discriminative Learning of Apparel Features R Rothe, M Ristin, M Dantone, L Van Gool Conference on Machine Vision Applications (MVA), 2015 | 7 | 2015 |
| Picasso: A Neural Network Visualizer R Henderson, R Rothe arXiv preprint arXiv:1705.05627, 2017 | 1 | 2017 |
| A deep understanding from a single image R Rothe Computer Vision Laboratory, D-ITET, ETH Zurich, 2016 | 1 | 2016 |
| Parameter design tradeoff between prediction performance and training time for ridge-SVM R Rothe, Y Yu, SY Kung Workshop on Machine Learning for Signal Processing (MLSP), 2013 | 1 | 2013 |
Radu TimofteHumboldt Professor for AI and Computer Vision, University of Würzburg在 uni-wuerzburg.de 的电子邮件经过验证
