| Ntire 2017 challenge on single image super-resolution: Dataset and study E Agustsson, R Timofte Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 2286 | 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 | 1331 | 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 | 464 | 2017 |
| Generative adversarial networks for extreme learned image compression E Agustsson, M Tschannen, F Mentzer, R Timofte, LV Gool Proceedings of the IEEE/CVF International Conference on Computer Vision, 221-231, 2019 | 453 | 2019 |
| Conditional probability models for deep image compression F Mentzer, E Agustsson, M Tschannen, R Timofte, L Van Gool Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 441 | 2018 |
| 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 | 292 | 2017 |
| High-Fidelity Generative Image Compression F Mentzer, G Toderici, M Tschannen, E Agustsson arXiv preprint arXiv:2006.09965, 2020 | 246 | 2020 |
| ComboGAN: Unrestrained Scalability for Image Domain Translation A Anoosheh, E Agustsson, R Timofte, L Van Gool arXiv preprint arXiv:1712.06909, 2017 | 195 | 2017 |
| Scale-Space Flow for End-to-End Optimized Video Compression E Agustsson, D Minnen, N Johnston, J Balle, SJ Hwang, G Toderici Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 167 | 2020 |
| 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 | 163 | 2019 |
| 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 | 130 | 2018 |
| 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) Workshops, 0-0, 2018 | 122 | 2018 |
| Nonlinear transform coding J Ballé, PA Chou, D Minnen, S Singh, N Johnston, E Agustsson, ... IEEE Journal of Selected Topics in Signal Processing 15 (2), 339-353, 2020 | 104 | 2020 |
| Deep generative models for distribution-preserving lossy compression M Tschannen, E Agustsson, M Lucic Advances in Neural Information Processing Systems, 5929-5940, 2018 | 103 | 2018 |
| 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 | 96 | 2017 |
| Logo Synthesis and Manipulation with Clustered Generative Adversarial Networks A Sage, E Agustsson, R Timofte, L Van Gool Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 71 | 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 | 68 | 2019 |
| 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 | 62 | 2018 |
| Anchored regression networks applied to age estimation and super resolution E Agustsson, R Timofte, L Van Gool Proceedings of the IEEE International Conference on Computer Vision, 1643-1652, 2017 | 56 | 2017 |
| Universally Quantized Neural Compression E Agustsson, L Theis arXiv preprint arXiv:2006.09952, 2020 | 49 | 2020 |
Radu TimofteUniversity of Würzburg & ETH ZurichBestätigte E-Mail-Adresse bei uni-wuerzburg.de
