Maxime Lhuillier
- Computer Vision and Pattern Recognition top 0.5%
- Aerospace Engineering top 1%
- Geology top 1%
- Environmental Engineering top 5%
- Computer Graphics and Computer-Aided Design top 2%
- Co-authors
- Long QuanMichel DhomeJean‐Marc LavestEric RoyerPatrick SaydFabien DekeyserJianxiong XiaoTian Fang
- Topics
- Advanced Vision and Imaging (36 papers)Robotics and Sensor-Based Localization (22 papers)Optical measurement and interference techniques (15 papers)
In The Last Decade
Maxime Lhuillier
42 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 67
- Computer Vision and Pattern Recognition 1.3k
- Aerospace Engineering 865
- Geology 316
- Environmental Engineering 188
- Computer Graphics and Computer-Aided Design 148
Countries citing papers authored by Maxime Lhuillier
This map shows the geographic impact of Maxime Lhuillier'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 Maxime Lhuillier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maxime Lhuillier more than expected).
Fields of papers citing papers by Maxime Lhuillier
This network shows the impact of papers produced by Maxime Lhuillier. 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 Maxime Lhuillier. The network helps show where Maxime Lhuillier may publish in the future.
Co-authorship network of co-authors of Maxime Lhuillier
This figure shows the co-authorship network connecting the top 25 collaborators of Maxime Lhuillier. A scholar is included among the top collaborators of Maxime Lhuillier 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 Maxime Lhuillier. Maxime Lhuillier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 6 | |
| 3 | 16 | |
| 4 | Genus refinement of a manifold surface reconstructed by sculpting the 3d-Delaunay triangulation of Structure-from-Motion points | 2 |
| 5 | 45 | |
| 6 | Fast Odometry Integration in Local Bundle Adjustment-based Visual SLAM | 0 |
| 7 | 139 | |
| 8 | 5 | |
| 9 | 36 | |
| 10 | Recent methods for reconstructing surfaces from multiple images | 2 |
| 11 | 6 | |
| 12 | 61 | |
| 13 | 298 | |
| 14 | 19 | |
| 15 | 2 | |
| 16 | 3 | |
| 17 | 19 | |
| 18 | Quasi-dense reconstruction from image sequence | 37 |
| 19 | Cencentric Mosaics, Planar Motions and 1D Cameras | 1 |
| 20 | Joint View Triangulation for Two Views | 2 |
About Maxime Lhuillier
Maxime Lhuillier is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Geology, having authored 44 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (36 papers), Robotics and Sensor-Based Localization (22 papers) and Optical measurement and interference techniques (15 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Geology (316 citations) and Computer Graphics and Computer-Aided Design (148 citations). Maxime Lhuillier has collaborated with scholars based in France, Hong Kong and China. Frequent co-authors include Long Quan, Michel Dhome, Jean‐Marc Lavest, Eric Royer, Patrick Sayd, Fabien Dekeyser, Jianxiong Xiao, Tian Fang, Peng Zhao and Thierry Château. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Graphics and International Journal of Computer Vision.
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.