| NTIRE 2017 challenge on single image super-resolution: Dataset and study E Agustsson, R Timofte The IEEE Conference on Computer Vision and Pattern Recognition (CVPR …, 2017 | 553 | 2017 |
| Ntire 2017 challenge on single image super-resolution: Methods and results R Timofte, E Agustsson, L Van Gool, MH Yang, L Zhang, B Lim, S Son, ... Computer Vision and Pattern Recognition Workshops (CVPRW), 2017 IEEE …, 2017 | 491 | 2017 |
| Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations E Agustsson, F Mentzer, M Tschannen, L Cavigelli, R Timofte, L Benini, ... Advances in Neural Information Processing Systems, 1141-1151, 2017 | 209* | 2017 |
| Conditional probability models for deep image compression F Mentzer, E Agustsson, M Tschannen, R Timofte, L Van Gool IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 1 (2), 3, 2018 | 156 | 2018 |
| Generative adversarial networks for extreme learned image compression E Agustsson, M Tschannen, F Mentzer, R Timofte, LV Gool Proceedings of the IEEE International Conference on Computer Vision, 221-231, 2019 | 150 | 2019 |
| ComboGAN: Unrestrained Scalability for Image Domain Translation A Anoosheh, E Agustsson, R Timofte, L Van Gool arXiv preprint arXiv:1712.06909, 2017 | 77 | 2017 |
| WebVision Database: Visual Learning and Understanding from Web Data W Li, L Wang, W Li, E Agustsson, L Van Gool arXiv preprint arXiv:1708.02862, 2017 | 73 | 2017 |
| 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 Automatic Face & Gesture Recognition (FG 2017), 2017 12th IEEE International …, 2017 | 50 | 2017 |
| PIRM challenge on perceptual image enhancement on smartphones: report A Ignatov, R Timofte, T Van Vu, T Minh Luu, T X Pham, C Van Nguyen, ... Proceedings of the European Conference on Computer Vision (ECCV), 0-0, 2018 | 43 | 2018 |
| Towards Image Understanding from Deep Compression without Decoding R Torfason, F Mentzer, E Agustsson, M Tschannen, R Timofte, L Van Gool arXiv preprint arXiv:1803.06131, 2018 | 34 | 2018 |
| Anchored regression networks applied to age estimation and super resolution E Agustsson, R Timofte, L Van Gool 2017 IEEE International Conference on Computer Vision (ICCV), 1652-1661, 2017 | 32 | 2017 |
| Deep generative models for distribution-preserving lossy compression M Tschannen, E Agustsson, M Lucic Advances in Neural Information Processing Systems, 5929-5940, 2018 | 31 | 2018 |
| Practical full resolution learned lossless image compression F Mentzer, E Agustsson, M Tschannen, R Timofte, LV Gool Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 28 | 2019 |
| Logo Synthesis and Manipulation with Clustered Generative Adversarial Networks A Sage, E Agustsson, R Timofte, L Van Gool arXiv preprint arXiv:1712.04407, 2017 | 21 | 2017 |
| Generative adversarial style transfer networks for face aging S Palsson, E Agustsson, R Timofte, L Van Gool Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 19 | 2018 |
| Interactive full image segmentation by considering all regions jointly E Agustsson, JRR Uijlings, V Ferrari Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 18 | 2019 |
| Regressor basis learning for anchored super-resolution E Agustsson, R Timofte, L Van Gool Pattern Recognition (ICPR), 2016 23rd International Conference on, 3850-3855, 2016 | 13 | 2016 |
| Neighborhood selection for thresholding-based subspace clustering R Heckel, E Agustsson, H Bölcskei 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 12 | 2014 |
| Optimal transport maps for distribution preserving operations on latent spaces of Generative Models E Agustsson, A Sage, R Timofte, L Van Gool arXiv preprint arXiv:1711.01970, 2017 | 10 | 2017 |
| Almost lossless analog signal separation and probabilistic uncertainty relations D Stotz, E Riegler, E Agustsson, H Bölcskei IEEE Transactions on Information Theory 63 (9), 5445-5460, 2017 | 9 | 2017 |
Radu TimofteETH Zurich (previously at KU Leuven)Verified email at vision.ee.ethz.ch
