Céline Teulière

948 total citations
20 papers, 345 citations indexed

About

Céline Teulière is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Aerospace Engineering. According to data from OpenAlex, Céline Teulière has authored 20 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 6 papers in Media Technology and 5 papers in Aerospace Engineering. Recurrent topics in Céline Teulière's work include Advanced Vision and Imaging (13 papers), Image Processing Techniques and Applications (6 papers) and Robotics and Sensor-Based Localization (5 papers). Céline Teulière is often cited by papers focused on Advanced Vision and Imaging (13 papers), Image Processing Techniques and Applications (6 papers) and Robotics and Sensor-Based Localization (5 papers). Céline Teulière collaborates with scholars based in France, Germany and Argentina. Céline Teulière's co-authors include Éric Marchand, Laurent Eck, Jochen Triesch, Nicolas Guénard, Thierry Château, Omar Ait-Aider, Frédéric Bernardin, Bertram E. Shi, Yu Zhao and Uwe Stilla and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Computer Vision and IEEE Transactions on Cybernetics.

In The Last Decade

Céline Teulière

20 papers receiving 332 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Céline Teulière France 10 250 209 48 42 36 20 345
Nitin J. Sanket United States 8 185 0.7× 174 0.8× 64 1.3× 23 0.5× 24 0.7× 18 278
Javier Hidalgo‐Carrió Germany 8 122 0.5× 112 0.5× 81 1.7× 42 1.0× 22 0.6× 12 263
Federico Pernici Italy 11 331 1.3× 118 0.6× 53 1.1× 57 1.4× 10 0.3× 34 407
Chule Yang Singapore 10 198 0.8× 198 0.9× 40 0.8× 42 1.0× 36 1.0× 24 310
Leonid Naimark United States 7 222 0.9× 203 1.0× 69 1.4× 25 0.6× 27 0.8× 14 333
Bangbang Yang China 9 333 1.3× 121 0.6× 55 1.1× 23 0.5× 31 0.9× 16 438
Jonathan Courbon France 8 281 1.1× 226 1.1× 28 0.6× 13 0.3× 26 0.7× 14 327
Takeo Kanade United States 5 161 0.6× 104 0.5× 15 0.3× 33 0.8× 20 0.6× 7 261
R. Bunschoten Netherlands 10 268 1.1× 195 0.9× 39 0.8× 88 2.1× 74 2.1× 13 379
Pantelis Elinas Canada 9 232 0.9× 235 1.1× 91 1.9× 55 1.3× 35 1.0× 17 364

Countries citing papers authored by Céline Teulière

Since Specialization
Citations

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

Fields of papers citing papers by Céline Teulière

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Céline Teulière

This figure shows the co-authorship network connecting the top 25 collaborators of Céline Teulière. A scholar is included among the top collaborators of Céline Teulière 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 Céline Teulière. Céline Teulière 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.
Teulière, Céline, et al.. (2023). Blur aware metric depth estimation with multi-focus plenoptic cameras. Computer Vision and Image Understanding. 235. 103802–103802. 1 indexed citations
2.
Teulière, Céline, et al.. (2022). Leveraging Blur Information for Plenoptic Camera Calibration. International Journal of Computer Vision. 130(7). 1655–1677. 9 indexed citations
3.
Teulière, Céline, et al.. (2021). Spike timing-based unsupervised learning of orientation, disparity, and motion representations in a spiking neural network. HAL (Le Centre pour la Communication Scientifique Directe). 1377–1386. 9 indexed citations
4.
Teulière, Céline, et al.. (2020). Blur Aware Calibration of Multi-Focus Plenoptic Camera. arXiv (Cornell University). 8 indexed citations
5.
Teulière, Céline, et al.. (2018). Stage-Wise Learning of Reaching Using Little Prior Knowledge. Frontiers in Robotics and AI. 5. 110–110. 2 indexed citations
6.
Teulière, Céline, et al.. (2018). Learning to Touch Objects Through Stage-Wise Deep Reinforcement Learning. 1–9. 5 indexed citations
7.
Teulière, Céline, et al.. (2017). Learning of binocular fixations using anomaly detection with deep reinforcement learning. HAL (Le Centre pour la Communication Scientifique Directe). 760–767. 13 indexed citations
8.
Teulière, Céline, et al.. (2016). METRIC CALIBRATION OF A FOCUSED PLENOPTIC CAMERA BASED ON A 3D CALIBRATION TARGET. SHILAP Revista de lepidopterología. III-3. 449–456. 9 indexed citations
9.
Teulière, Céline, et al.. (2016). METRIC CALIBRATION OF A FOCUSED PLENOPTIC CAMERA BASED ON A 3D CALIBRATION TARGET. ISPRS annals of the photogrammetry, remote sensing and spatial information sciences. III-3. 449–456. 6 indexed citations
10.
Chabot, Florian, Mohamed Chaouch, Jaonary Rabarisoa, Céline Teulière, & Thierry Château. (2016). Accurate 3D car pose estimation. HAL (Le Centre pour la Communication Scientifique Directe). 3807–3811. 2 indexed citations
11.
Teulière, Céline, et al.. (2015). étalonnage automatique d’un système d’acquisition caméras - centrale inertielle lidar 3D. Traitement du signal. 32(2-3). 121–145. 2 indexed citations
12.
Teulière, Céline, et al.. (2014). Autonomous learning of smooth pursuit and vergence through active efficient coding. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 448–453. 9 indexed citations
13.
Teulière, Céline, Sébastien Forestier, Luca Lonini, et al.. (2014). Self-calibrating smooth pursuit through active efficient coding. Robotics and Autonomous Systems. 71. 3–12. 18 indexed citations
14.
Teulière, Céline, Éric Marchand, & Laurent Eck. (2014). 3-D Model-Based Tracking for UAV Indoor Localization. IEEE Transactions on Cybernetics. 45(5). 869–879. 51 indexed citations
15.
Teulière, Céline & Éric Marchand. (2012). Direct 3D servoing using dense depth maps. 1741–1746. 10 indexed citations
16.
Teulière, Céline, Laurent Eck, & Éric Marchand. (2011). Chasing a moving target from a flying UAV. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 4929–4934. 66 indexed citations
17.
Teulière, Céline, Laurent Eck, & Éric Marchand. (2011). Chasing a moving target from a flying UAV. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 4929–4934. 61 indexed citations
18.
Teulière, Céline, Éric Marchand, & Laurent Eck. (2010). Using multiple hypothesis in model-based tracking. HAL (Le Centre pour la Communication Scientifique Directe). 1. 4559–4565. 27 indexed citations
19.
Teulière, Céline, Laurent Eck, Éric Marchand, & Nicolas Guénard. (2010). 3D model-based tracking for UAV position control. HAL (Le Centre pour la Communication Scientifique Directe). 1084–1089. 34 indexed citations
20.
Teulière, Céline, Éric Marchand, & Laurent Eck. (2009). A combination of particle filtering and deterministic approaches for multiple kernel tracking. 3. 3948–3954. 3 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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