Fabian Mentzer

1.6k total citations
11 papers, 376 citations indexed

About

Fabian Mentzer is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computational Mechanics. According to data from OpenAlex, Fabian Mentzer has authored 11 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 2 papers in Signal Processing and 1 paper in Computational Mechanics. Recurrent topics in Fabian Mentzer's work include Advanced Image Processing Techniques (7 papers), Image and Signal Denoising Methods (6 papers) and Advanced Data Compression Techniques (4 papers). Fabian Mentzer is often cited by papers focused on Advanced Image Processing Techniques (7 papers), Image and Signal Denoising Methods (6 papers) and Advanced Data Compression Techniques (4 papers). Fabian Mentzer collaborates with scholars based in Switzerland, Belgium and United States. Fabian Mentzer's co-authors include Radu Timofte, Luc Van Gool, Ren Yang, Eirikur Agustsson, Michael Tschannen, Luca Benini, Lukas Cavigelli, David Minnen, George Toderici and Sung Jin Hwang and has published in prestigious journals such as IEEE Journal of Selected Topics in Signal Processing, arXiv (Cornell University) and Lirias (KU Leuven).

In The Last Decade

Fabian Mentzer

10 papers receiving 357 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Fabian Mentzer Switzerland	7	346	164	27	15	13	11	376
Hyomin Choi Canada	9	261 0.8×	135 0.8×	21 0.8×	11 0.7×	23 1.8×	23	316
Troy Chinen United States	4	271 0.8×	91 0.6×	29 1.1×	11 0.7×	23 1.8×	9	297
Qunliang Xing China	3	277 0.8×	156 1.0×	11 0.4×	13 0.9×	18 1.4×	5	315
Ning Yan China	9	304 0.9×	118 0.7×	66 2.4×	6 0.4×	19 1.5×	18	337
Haitao Yang China	10	400 1.2×	273 1.7×	16 0.6×	15 1.0×	44 3.4×	24	432
Dailan He China	5	384 1.1×	87 0.5×	47 1.7×	11 0.7×	34 2.6×	8	429
Minqiang Jiang United States	9	371 1.1×	323 2.0×	12 0.4×	17 1.1×	6 0.5×	16	398
Mei-Yin Shen United States	8	381 1.1×	206 1.3×	10 0.4×	18 1.2×	32 2.5×	28	405
Valeri George Germany	10	368 1.1×	327 2.0×	11 0.4×	27 1.8×	18 1.4×	22	406
Zhihao Hu China	7	324 0.9×	162 1.0×	17 0.6×	6 0.4×	14 1.1×	11	351

Countries citing papers authored by Fabian Mentzer

Since Specialization

Citations

This map shows the geographic impact of Fabian Mentzer's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Fabian Mentzer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabian Mentzer more than expected).

Fields of papers citing papers by Fabian Mentzer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fabian Mentzer. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Fabian Mentzer. The network helps show where Fabian Mentzer may publish in the future.

Co-authorship network of co-authors of Fabian Mentzer

This figure shows the co-authorship network connecting the top 25 collaborators of Fabian Mentzer. A scholar is included among the top collaborators of Fabian Mentzer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fabian Mentzer. Fabian Mentzer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Mentzer, Fabian. (2024). High-Fidelity Generative Image Compression. Neural Information Processing Systems. 33. 11913–11924. 1 indexed citations

2.

Mentzer, Fabian, et al.. (2023). M2T: Masking Transformers Twice for Faster Decoding. 5317–5326. 9 indexed citations

3.

Agustsson, Eirikur, David Minnen, George Toderici, & Fabian Mentzer. (2023). Multi-Realism Image Compression with a Conditional Generator. 22324–22333. 33 indexed citations

4.

Agustsson, Eirikur, et al.. (2022). VCT: A Video Compression Transformer. 13091–13103.

5.

Yang, Ren, Fabian Mentzer, Luc Van Gool, & Radu Timofte. (2020). Learning for Video Compression With Hierarchical Quality and Recurrent Enhancement. Lirias (KU Leuven). 6627–6636. 137 indexed citations

6.

Yang, Ren, Fabian Mentzer, Luc Van Gool, & Radu Timofte. (2020). Learning for Video Compression With Recurrent Auto-Encoder and Recurrent Probability Model. IEEE Journal of Selected Topics in Signal Processing. 15(2). 388–401. 92 indexed citations

7.

Mentzer, Fabian, et al.. (2018). Towards Image Understanding from Deep Compression without Decoding. Lirias (KU Leuven). 4 indexed citations

8.

Agustsson, Eirikur, Michael Tschannen, Fabian Mentzer, Radu Timofte, & Luc Van Gool. (2018). Extreme Learned Image Compression with GANs. Computer Vision and Pattern Recognition. 2587–2590. 7 indexed citations

9.

Benini, Luca, et al.. (2018). Deep Structured Features For Semantic Segmentation. Zenodo (CERN European Organization for Nuclear Research). 6 indexed citations

10.

Agustsson, Eirikur, Fabian Mentzer, Michael Tschannen, et al.. (2017). Soft-to-Hard Vector Quantization for End-to-End Learned Compression of Images and Neural Networks.. arXiv (Cornell University). 10 indexed citations

11.

Agustsson, Eirikur, Fabian Mentzer, Michael Tschannen, et al.. (2017). Soft-to-hard vector quantization for end-to-end learning compressible representations. Lirias (KU Leuven). 30. 1141–1151. 77 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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