Paul-Edouard Sarlin
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- Advanced Vision and Imaging 4
- Advanced Image and Video Retrieval Techniques 2
- Digital Image Processing Techniques 1
- Geology top 5%
- 3D Surveying and Cultural Heritage 1
- Aerospace Engineering top 5%
- Robotics and Sensor-Based Localization 3
- Artificial Intelligence top 10%
- Adversarial Robustness in Machine Learning 2
- Anomaly Detection Techniques and Applications 2
- Media Technology top 10%
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- 3D Shape Modeling and Analysis 1
- Co-authors
- Marc PollefeysPhilipp LindenbergerHermann BlumRoland SiegwartJuan NietoCésar CadenaViktor LarssonSamuel Rota Bulò
- Journals
- International Journal of Computer Vision (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- SwitzerlandSwedenUnited States
In The Last Decade
Paul-Edouard Sarlin
7 papers receiving 543 citations
Hit Papers
Peers
Comparison fields: 5 of 64
- Computer Vision and Pattern Recognition 403
- Geology 68
- Aerospace Engineering 240
- Artificial Intelligence 117
- Media Technology 29
Countries citing papers authored by Paul-Edouard Sarlin
This map shows the geographic impact of Paul-Edouard Sarlin'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 Paul-Edouard Sarlin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul-Edouard Sarlin more than expected).
Fields of papers citing papers by Paul-Edouard Sarlin
This network shows the impact of papers produced by Paul-Edouard Sarlin. 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 Paul-Edouard Sarlin. The network helps show where Paul-Edouard Sarlin may publish in the future.
Co-authorship network
The 18 scholars most cited alongside Paul-Edouard Sarlin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 12 | |
| 2 | 2023 | 45 | |
| 3 | LightGlue: Local Feature Matching at Light Speedbreakdown → | 2023 | 281 |
| 4 | 2021 | 7 | |
| 5 | 2021 | 86 | |
| 6 | 2021 | 66 | |
| 7 | 2019 | 60 |
About Paul-Edouard Sarlin
Paul-Edouard Sarlin is a scholar working on Computer Vision and Pattern Recognition, Geology, Aerospace Engineering, Media Technology and Artificial Intelligence, having authored 7 papers that have together received 557 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (4 papers), Robotics and Sensor-Based Localization (3 papers), Advanced Image and Video Retrieval Techniques (2 papers), Adversarial Robustness in Machine Learning (2 papers), Anomaly Detection Techniques and Applications (2 papers), 3D Surveying and Cultural Heritage (1 paper), 3D Shape Modeling and Analysis (1 paper) and Digital Image Processing Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (403 citations), Geology (68 citations), Aerospace Engineering (240 citations), Artificial Intelligence (117 citations) and Media Technology (29 citations). Paul-Edouard Sarlin has collaborated with scholars based in Switzerland, Sweden and United States. Frequent co-authors include Marc Pollefeys, Philipp Lindenberger, Hermann Blum, Roland Siegwart, Juan Nieto, César Cadena, Viktor Larsson, Samuel Rota Bulò, Daniel DeTone and Tsun-Yi Yang. Their work appears in journals such as International Journal of Computer Vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, arXiv (Cornell University) and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
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.