| 3D Morphable Face Models - Past, Present and Future B Egger, WAP Smith, A Tewari, S Wuhrer, M Zollhoefer, T Beeler, ... Transactions on Graphics 39 (5), 2020 | 467 | 2020 |
| Morphable Face Models - an Open Framework T Gerig, A Morel-Forster, C Blumer, B Egger, M Lüthi, S Schönborn, ... Automatic Face & Gesture Recognition (FG 2018), 2018 13th IEEE International …, 2018 | 335 | 2018 |
| Analyzing and reducing the damage of dataset bias to face recognition with synthetic data A Kortylewski, B Egger, A Schneider, T Gerig, A Morel-Forster, T Vetter Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 168 | 2019 |
| Occlusion-aware 3D Morphable Models and an Illumination Prior for Face Image Analysis B Egger, S Schönborn, A Schneider, A Kortylewski, A Morel-Forster, ... International Journal of Computer Vision, 2018 | 95 | 2018 |
| Empirically analyzing the effect of dataset biases on deep face recognition systems A Kortylewski, B Egger, A Schneider, T Gerig, A Morel-Forster, T Vetter Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 83 | 2018 |
| Markov Chain Monte Carlo for Automated Face Image Analysis S Schönborn, B Egger, A Morel-Forster, T Vetter International Journal of Computer Vision, 2017 | 81 | 2017 |
| Training deep face recognition systems with synthetic data A Kortylewski, A Schneider, T Gerig, B Egger, A Morel-Forster, T Vetter arXiv preprint arXiv:1802.05891, 2018 | 79 | 2018 |
| A morphable face albedo model WAP Smith, A Seck, H Dee, B Tiddeman, JB Tenenbaum, B Egger Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 68 | 2020 |
| Explaining face representation in the primate brain using different computational models L Chang, B Egger, T Vetter, DY Tsao Current Biology 31 (13), 2785-2795. e4, 2021 | 47 | 2021 |
| PLIKS: A Pseudo-Linear Inverse Kinematic Solver for 3D Human Body Estimation K Shetty, A Birkhold, S Jaganathan, N Strobel, M Kowarschik, A Maier, ... IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023, 2023 | 34 | 2023 |
| MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation SC Medin, B Egger, A Cherian, Y Wang, JB Tenenbaum, X Liu, TK Marks 36th AAAI Conference on Artificial Intelligence, 2022 | 33 | 2022 |
| State of the Art in Dense Monocular Non-Rigid 3D Reconstruction E Tretschk, N Kairanda, R Dabral, A Kortylewski, B Egger, M Habermann, ... EUROGRAPHICS State-of-the-Art Reports (STARs) 2023, 2023 | 32 | 2023 |
| A monte carlo strategy to integrate detection and model-based face analysis S Schönborn, A Forster, B Egger, T Vetter Pattern Recognition: 35th German Conference, GCPR 2013, Saarbrücken, Germany …, 2013 | 29 | 2013 |
| Robust model-based face reconstruction through weakly-supervised outlier segmentation C Li, A Morel-Forster, T Vetter, B Egger, A Kortylewski Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 24 | 2023 |
| Background modeling for generative image models S Schönborn, B Egger, A Forster, T Vetter Computer Vision and Image Understanding 136, 117-127, 2015 | 20 | 2015 |
| Exploring the Capabilities of a Language Model-Only Approach for Depression Detection in Text Data M Sadeghi, B Egger, R Agahi, R Richer, K Capito, LH Rupp, ... | 19 | 2023 |
| To fit or not to fit: Model-based face reconstruction and occlusion segmentation from weak supervision C Li, A Morel-Forster, T Vetter, B Egger, A Kortylewski IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023, 2023 | 18 | 2023 |
| Can synthetic faces undo the damage of dataset bias to face recognition and facial landmark detection? A Kortylewski, B Egger, A Morel-Forster, A Schneider, T Gerig, C Blumer, ... arXiv preprint arXiv:1811.08565, 2018 | 18* | 2018 |
| Efficient global illumination for morphable models A Schneider, S Schonborn, L Frobeen, B Egger, T Vetter Proceedings of the IEEE International Conference on Computer Vision, 3865-3873, 2017 | 17 | 2017 |
| Occlusion-aware 3D Morphable Face Models B Egger, A Schneider, C Blumer, A Forster, S Schönborn, T Vetter British Machine Vision Conference (BMVC), 2016 | 17 | 2016 |
Thomas VetterEmeritus Professor in Computer Science, University of BaselVerified email at unibas.ch
