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Fabian Mentzer
Fabian Mentzer
Research Scientist at Google Deep Mind
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
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
6412019
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
5912017
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
5512018
High-fidelity generative image compression
F Mentzer, GD Toderici, M Tschannen, E Agustsson
Advances in Neural Information Processing Systems 33, 11913-11924, 2020
4332020
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ...
arXiv preprint arXiv:2403.05530, 2024
3582024
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
2302020
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
2232019
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
1782018
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
1402020
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
942020
VCT: A video compression transformer
F Mentzer, G Toderici, D Minnen, SJ Hwang, S Caelles, M Lucic, ...
NeurIPS '22, 2022
912022
Lossy compression with gaussian diffusion
L Theis, T Salimans, MD Hoffman, F Mentzer
arXiv preprint arXiv:2206.08889, 2022
572022
Finite scalar quantization: Vq-vae made simple
F Mentzer, D Minnen, E Agustsson, M Tschannen
arXiv preprint arXiv:2309.15505, 2023
512023
Workshop and challenge on learned image compression (clic2020)
G Toderici, W Shi, R Timofte, L Theis, J Balle, E Agustsson, N Johnston, ...
CVPR, 2020
492020
Neural video compression using gans for detail synthesis and propagation
F Mentzer, E Agustsson, J Ballé, D Minnen, N Johnston, G Toderici
European Conference on Computer Vision, 562-578, 2022
47*2022
Multi-realism image compression with a conditional generator
E Agustsson, D Minnen, G Toderici, F Mentzer
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
422023
High-fidelity image compression with score-based generative models
E Hoogeboom, E Agustsson, F Mentzer, L Versari, G Toderici, L Theis
arXiv preprint arXiv:2305.18231, 2023
192023
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
162017
M2t: Masking transformers twice for faster decoding
F Mentzer, E Agustson, M Tschannen
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
82023
Givt: Generative infinite-vocabulary transformers
M Tschannen, C Eastwood, F Mentzer
arXiv preprint arXiv:2312.02116, 2023
52023
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