| 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 30, 2017 | 426 | 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 | 425 | 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 | 402 | 2018 |
| High-fidelity generative image compression F Mentzer, GD Toderici, M Tschannen, E Agustsson Advances in Neural Information Processing Systems 33, 11913-11924, 2020 | 197 | 2020 |
| Practical full resolution learned lossless image compression F Mentzer, E Agustsson, M Tschannen, R Timofte, LV Gool Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 153 | 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 | 119 | 2018 |
| Learning for video compression with hierarchical quality and recurrent enhancement R Yang, F Mentzer, LV Gool, R Timofte Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 115 | 2020 |
| Learning for video compression with recurrent auto-encoder and recurrent probability model R Yang, F Mentzer, L Van Gool, R Timofte IEEE Journal of Selected Topics in Signal Processing 15 (2), 388-401, 2020 | 63 | 2020 |
| Learning better lossless compression using lossy compression F Mentzer, LV Gool, M Tschannen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 40 | 2020 |
| Deep structured features for semantic segmentation M Tschannen, L Cavigelli, F Mentzer, T Wiatowski, L Benini 2017 25th European Signal Processing Conference (EUSIPCO), 61-65, 2017 | 14 | 2017 |
| Neural video compression using gans for detail synthesis and propagation F Mentzer, E Agustsson, J Ballé, D Minnen, N Johnston, G Toderici Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 12* | 2022 |
| Lossy compression with gaussian diffusion L Theis, T Salimans, MD Hoffman, F Mentzer arXiv preprint arXiv:2206.08889, 2022 | 10 | 2022 |
| Vct: A video compression transformer F Mentzer, G Toderici, D Minnen, SJ Hwang, S Caelles, M Lucic, ... arXiv preprint arXiv:2206.07307, 2022 | 4 | 2022 |
| Multi-Realism Image Compression with a Conditional Generator E Agustsson, D Minnen, G Toderici, F Mentzer arXiv preprint arXiv:2212.13824, 2022 | | 2022 |
| High-Fidelity Generative Image Compression GD Toderici, FJ Mentzer, ET Agustsson, MT Tschannen US Patent App. 17/107,684, 2022 | | 2022 |
| Neural Image Compression: Lossy and Lossless Algorithms F Mentzer ETH Zurich, 2021 | | 2021 |
Michael TschannenGoogle Research, Brain TeamVerified email at google.com
