Fabian Mentzer
Fabian Mentzer
PhD student, Computer Vision Laboratory, ETH Zurich
Verified email at vision.ee.ethz.ch
Title
Cited by
Cited by
Year
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
198*2017
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
1482018
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
1452019
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
322018
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
262019
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
72017
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
52020
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
32020
Learning for Video Compression with Recurrent Auto-Encoder and Recurrent Probability Model
R Yang, F Mentzer, L Van Gool, R Timofte
arXiv preprint arXiv:2006.13560, 2020
22020
High-Fidelity Generative Image Compression
F Mentzer, G Toderici, M Tschannen, E Agustsson
arXiv preprint arXiv:2006.09965, 2020
22020
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