Michaël Gharbi

3.6k total citations · 2 hit papers
30 papers, 2.2k citations indexed

About

Michaël Gharbi is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics. According to data from OpenAlex, Michaël Gharbi has authored 30 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 12 papers in Computer Graphics and Computer-Aided Design and 3 papers in Computational Mechanics. Recurrent topics in Michaël Gharbi's work include Computer Graphics and Visualization Techniques (12 papers), Advanced Vision and Imaging (11 papers) and Advanced Image Processing Techniques (10 papers). Michaël Gharbi is often cited by papers focused on Computer Graphics and Visualization Techniques (12 papers), Advanced Vision and Imaging (11 papers) and Advanced Image Processing Techniques (10 papers). Michaël Gharbi collaborates with scholars based in United States, Israel and France. Michaël Gharbi's co-authors include Frédo Durand, Thibaut Perol, Marine Denolle, Samuel W. Hasinoff, Jiawen Chen, Jonathan T. Barron, Sylvain Paris, Gaurav Chaurasia, Tzu‐Mao Li and Jonathan Ragan‐Kelley and has published in prestigious journals such as Science Advances, ACM Transactions on Graphics and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Michaël Gharbi

29 papers receiving 2.1k citations

Hit Papers

Convolutional neural network for earthquake detection and... 2017 2026 2020 2023 2018 2017 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Convolutional neural network for earthquake detection and location
    2018 637 citations Thibaut Perol, Michaël Gharbi et al. Science Advances profile →
  2. Deep bilateral learning for real-time image enhancement
    2017 514 citations Michaël Gharbi, Jiawen Chen et al. ACM Transactions on Graphics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michaël Gharbi United States 17 1.3k 695 529 381 288 30 2.2k
Tim Salimans United States 8 1.2k 0.9× 673 1.0× 36 0.1× 285 0.7× 107 0.4× 14 2.0k
Ingrid Daubechies United States 15 1.5k 1.1× 98 0.1× 52 0.1× 232 0.6× 101 0.4× 23 2.1k
Hanqi Guo United States 19 812 0.6× 295 0.4× 22 0.0× 60 0.2× 317 1.1× 68 1.3k
Eric J. Stollnitz United States 9 815 0.6× 137 0.2× 44 0.1× 102 0.3× 443 1.5× 10 1.3k
Przemysław Musialski Austria 13 889 0.7× 173 0.2× 28 0.1× 121 0.3× 133 0.5× 34 2.1k
Yuhui Quan China 27 1.7k 1.3× 231 0.3× 51 0.1× 717 1.9× 31 0.1× 88 2.1k
Paul Rodríguez Peru 19 698 0.5× 83 0.1× 173 0.3× 195 0.5× 10 0.0× 115 1.6k
Jonathan Ho United States 8 1.5k 1.2× 311 0.4× 26 0.0× 253 0.7× 108 0.4× 17 2.1k
Jiezhang Cao China 13 2.6k 2.0× 207 0.3× 44 0.1× 1.4k 3.7× 44 0.2× 26 3.2k
Giovanni Ramponi Italy 29 2.3k 1.8× 325 0.5× 10 0.0× 882 2.3× 83 0.3× 151 2.9k

Countries citing papers authored by Michaël Gharbi

Since Specialization
Citations

This map shows the geographic impact of Michaël Gharbi'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 Michaël Gharbi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michaël Gharbi more than expected).

Fields of papers citing papers by Michaël Gharbi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michaël Gharbi. 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 Michaël Gharbi. The network helps show where Michaël Gharbi may publish in the future.

Co-authorship network of co-authors of Michaël Gharbi

This figure shows the co-authorship network connecting the top 25 collaborators of Michaël Gharbi. A scholar is included among the top collaborators of Michaël Gharbi 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 Michaël Gharbi. Michaël Gharbi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Xia, Zhihao, et al.. (2025). Magic Fixup: Streamlining Photo Editing by Watching Dynamic Videos. ACM Transactions on Graphics. 44(5). 1–25. 3 indexed citations
2.
Hong, James Won‐Ki, Lu Yuan, Michaël Gharbi, Matthew Fisher, & Kayvon Fatahalian. (2024). Learning Subject-Aware Cropping by Outpainting Professional Photos. Proceedings of the AAAI Conference on Artificial Intelligence. 38(3). 2175–2183. 1 indexed citations
3.
Chen, Yinbo, Oliver Wang, Richard Zhang, et al.. (2024). Image Neural Field Diffusion Models. 8007–8017.
4.
Fisher, Matthew, et al.. (2024). VecFusion: Vector Font Generation with Diffusion. 7943–7952. 7 indexed citations
5.
Durand, Frédo, Michaël Gharbi, Taesung Park, et al.. (2024). Improved Distribution Matching Distillation for Fast Image Synthesis. 47455–47487. 1 indexed citations
6.
Philip, Julien, et al.. (2023). Materialistic: Selecting Similar Materials in Images. ACM Transactions on Graphics. 42(4). 1–14. 9 indexed citations
7.
Gharbi, Michaël, Andrew Adams, Shoaib Kamil, et al.. (2022). Searching for Fast Demosaicking Algorithms. ACM Transactions on Graphics. 41(5). 1–18. 7 indexed citations
8.
Gharbi, Michaël, Fujun Luan, Kalyan Sunkavalli, et al.. (2022). Differentiable Rendering of Neural SDFs through Reparameterization. 1–9. 30 indexed citations
9.
Fisher, Matthew, et al.. (2021). Interactive Monte Carlo denoising using affinity of neural features. ACM Transactions on Graphics. 40(4). 1–13. 2 indexed citations
10.
Hong, James Won‐Ki, Matthew Fisher, Michaël Gharbi, & Kayvon Fatahalian. (2021). Video Pose Distillation for Few-Shot, Fine-Grained Sports Action Recognition. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 9234–9243. 33 indexed citations
11.
Xia, Zhihao, Michaël Gharbi, Federico Perazzi, Kalyan Sunkavalli, & Ayan Chakrabarti. (2021). Deep Denoising of Flash and No-Flash Pairs for Photography in Low-Light Environments. 2063–2072. 11 indexed citations
12.
Gharbi, Michaël, et al.. (2021). Im2Vec: Synthesizing Vector Graphics without Vector Supervision. 2124–2133. 9 indexed citations
13.
Li, Tzu‐Mao, et al.. (2020). Differentiable vector graphics rasterization for editing and learning. ACM Transactions on Graphics. 39(6). 1–15. 88 indexed citations
14.
Adams, Andrew, Luke Anderson, Riyadh Baghdadi, et al.. (2019). Learning to optimize halide with tree search and random programs. ACM Transactions on Graphics. 38(4). 1–12. 129 indexed citations
15.
Perol, Thibaut, Michaël Gharbi, & Marine Denolle. (2018). Convolutional neural network for earthquake detection and location. Science Advances. 4(2). e1700578–e1700578. 637 indexed citations breakdown →
16.
Denolle, Marine, Thibaut Perol, & Michaël Gharbi. (2017). ConvNetQuake: Convolutional Neural Network for Earthquake Detection and Location. AGUFM. 2017. 1 indexed citations
17.
Gharbi, Michaël, Jiawen Chen, Jonathan T. Barron, Samuel W. Hasinoff, & Frédo Durand. (2017). Deep bilateral learning for real-time image enhancement. ACM Transactions on Graphics. 36(4). 1–12. 514 indexed citations breakdown →
18.
Gharbi, Michaël, Gaurav Chaurasia, Sylvain Paris, & Frédo Durand. (2016). Deep joint demosaicking and denoising. ACM Transactions on Graphics. 35(6). 1–12. 277 indexed citations
19.
Gharbi, Michaël, YiChang Shih, Gaurav Chaurasia, et al.. (2015). Transform recipes for efficient cloud photo enhancement. ACM Transactions on Graphics. 34(6). 1–12. 19 indexed citations
20.
Gharbi, Michaël, Tomasz Malisiewicz, Sylvain Paris, & Frédo Durand. (2012). A Gaussian Approximation of Feature Space for Fast Image Similarity. DSpace@MIT (Massachusetts Institute of Technology). 19 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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