Mathieu Aubry

5.0k total citations · 2 hit papers
30 papers, 1.6k citations indexed

About

Mathieu Aubry is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Control and Systems Engineering. According to data from OpenAlex, Mathieu Aubry has authored 30 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 7 papers in Aerospace Engineering and 6 papers in Control and Systems Engineering. Recurrent topics in Mathieu Aubry's work include Advanced Vision and Imaging (8 papers), Robotics and Sensor-Based Localization (7 papers) and Robot Manipulation and Learning (6 papers). Mathieu Aubry is often cited by papers focused on Advanced Vision and Imaging (8 papers), Robotics and Sensor-Based Localization (7 papers) and Robot Manipulation and Learning (6 papers). Mathieu Aubry collaborates with scholars based in France, United States and Czechia. Mathieu Aubry's co-authors include Daniel Cremers, Ulrich Schlickewei, Bryan Russell, Josef Šivic, Alexei A. Efros, Daniel Maturana, Frédo Durand, Jan Kautz, Samuel W. Hasinoff and Sylvain Paris and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Finance and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Mathieu Aubry

29 papers receiving 1.5k citations

Hit Papers

The wave kernel signature: A quantum mechanical approach ... 2011 2026 2016 2021 2011 2014 100 200 300 400
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. The wave kernel signature: A quantum mechanical approach to shape analysis
    2011 438 citations Mathieu Aubry, Daniel Cremers et al. profile →
  2. Seeing 3D Chairs: Exemplar Part-Based 2D-3D Alignment Using a Large Dataset of CAD Models
    2014 250 citations Mathieu Aubry, Alexei A. Efros et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mathieu Aubry France 14 1.1k 603 303 299 279 30 1.6k
Avneesh Sud United States 19 882 0.8× 412 0.7× 524 1.7× 196 0.7× 136 0.5× 43 1.3k
Ersin Yumer United States 17 1.4k 1.3× 712 1.2× 631 2.1× 81 0.3× 116 0.4× 30 1.9k
Sen Wang China 15 872 0.8× 338 0.6× 116 0.4× 335 1.1× 173 0.6× 63 1.2k
Tokiichiro Takahashi Japan 13 764 0.7× 525 0.9× 731 2.4× 195 0.7× 74 0.3× 83 1.4k
Charles R. Qi United States 11 756 0.7× 362 0.6× 173 0.6× 98 0.3× 240 0.9× 22 1.3k
Yueqi Duan China 19 933 0.9× 256 0.4× 95 0.3× 74 0.2× 136 0.5× 50 1.3k
Naiyao Zhang China 13 669 0.6× 326 0.5× 66 0.2× 283 0.9× 171 0.6× 39 1.1k
Chen-Hsuan Lin United States 10 616 0.6× 480 0.8× 421 1.4× 96 0.3× 111 0.4× 26 983
Nathan Carr United States 24 950 0.9× 820 1.4× 1.0k 3.4× 64 0.2× 77 0.3× 54 1.8k

Countries citing papers authored by Mathieu Aubry

Since Specialization
Citations

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

Fields of papers citing papers by Mathieu Aubry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathieu Aubry

This figure shows the co-authorship network connecting the top 25 collaborators of Mathieu Aubry. A scholar is included among the top collaborators of Mathieu Aubry 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 Mathieu Aubry. Mathieu Aubry 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.
Labbé, Yann, et al.. (2024). FocalPose++: Focal Length and Object Pose Estimation via Render and Compare. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(2). 755–772.
2.
Aubry, Mathieu, et al.. (2024). Learnable Earth Parser: Discovering 3D Prototypes in Aerial Scans. 27874–27884. 1 indexed citations
3.
Aubry, Mathieu, Roman Kräussl, Gustavo Manso, & Christophe Spaenjers. (2023). Biased Auctioneers. The Journal of Finance. 78(2). 795–833. 16 indexed citations
4.
Bascle, B., et al.. (2022). Improving neural implicit surfaces geometry with patch warping. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 6250–6259. 66 indexed citations
5.
Shen, Xi, Shiry Ginosar, M Rousselot, et al.. (2022). Spatially-Consistent Feature Matching and Learning for Heritage Image Analysis. International Journal of Computer Vision. 130(5). 1325–1339. 3 indexed citations
6.
Labbé, Yann, et al.. (2022). Focal Length and Object Pose Estimation via Render and Compare. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 3815–3824. 9 indexed citations
7.
Couprie, Camille, et al.. (2021). Surprising image compositions. 3921–3925. 4 indexed citations
8.
Labbé, Yann, Justin Carpentier, Mathieu Aubry, & Josef Šivic. (2021). Single-view robot pose and joint angle estimation via render & compare. HAL (Le Centre pour la Communication Scientifique Directe). 24 indexed citations
9.
Ponce, Jean, et al.. (2021). Unsupervised Layered Image Decomposition into Object Prototypes. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 8620–8630. 15 indexed citations
10.
Shen, Xi, et al.. (2021). Re-ranking for image retrieval and transductive few-shot classification. HAL (Le Centre pour la Communication Scientifique Directe). 16 indexed citations
11.
Aubry, Mathieu, et al.. (2020). A Web Application for Watermark Recognition. SHILAP Revista de lepidopterología. Atelier Digit_Hum(Data deluge: which skills for...). 3 indexed citations
12.
Labbé, Yann, Sergey Zagoruyko, Ivan Laptev, et al.. (2019). Monte-Carlo Tree Search for Efficient Visually Guided Rearrangement\n Planning. arXiv (Cornell University). 45 indexed citations
13.
Aubry, Mathieu, et al.. (2019). Machines and Masterpieces: Predicting Prices in the Art Auction Market. SSRN Electronic Journal. 4 indexed citations
14.
Marlet, Renaud, et al.. (2018). Virtual Training for a Real Application: Accurate Object-Robot Relative Localization without Calibration. HAL (Le Centre pour la Communication Scientifique Directe). 6 indexed citations
15.
Ginosar, Shiry, et al.. (2018). The burgeoning computer-art symbiosis. XRDS Crossroads The ACM Magazine for Students. 24(3). 30–33. 1 indexed citations
16.
Mahler, Jeffrey, Florian T. Pokorny, Brian Hou, et al.. (2016). Dex-Net 1.0: A cloud-based network of 3D objects for robust grasp planning using a Multi-Armed Bandit model with correlated rewards. 1957–1964. 222 indexed citations
17.
Aubry, Mathieu, Sylvain Paris, Samuel W. Hasinoff, Jan Kautz, & Frédo Durand. (2014). Fast Local Laplacian Filters. ACM Transactions on Graphics. 33(5). 1–14. 142 indexed citations
18.
Aubry, Mathieu, Bryan Russell, & Josef Šivic. (2014). Painting-to-3D model alignment via discriminative visual elements. ACM Transactions on Graphics. 33(2). 1–14. 68 indexed citations
19.
Goldlücke, Bastian, Mathieu Aubry, Kalin D. Kolev, & Daniel Cremers. (2013). A Super-Resolution Framework for High-Accuracy Multiview Reconstruction. International Journal of Computer Vision. 106(2). 172–191. 40 indexed citations
20.
Paris, Sylvain, Samuel W. Hasinoff, Jan Kautz, Mathieu Aubry, & Frédo Durand. (2011). Fast and Robust Pyramid-based Image Processing. 13 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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