Grégoire Lefebvre

578 total citations
13 papers, 87 citations indexed

About

Grégoire Lefebvre is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Grégoire Lefebvre has authored 13 papers receiving a total of 87 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Signal Processing. Recurrent topics in Grégoire Lefebvre's work include Context-Aware Activity Recognition Systems (4 papers), Emotion and Mood Recognition (2 papers) and Indoor and Outdoor Localization Technologies (2 papers). Grégoire Lefebvre is often cited by papers focused on Context-Aware Activity Recognition Systems (4 papers), Emotion and Mood Recognition (2 papers) and Indoor and Outdoor Localization Technologies (2 papers). Grégoire Lefebvre collaborates with scholars based in France and China. Grégoire Lefebvre's co-authors include Christophe García, Stefan Duffner, James L. Crowley, Alaeddine Mihoub, Huicheng Zheng, Camille Laurent, Fano Ramparany, James L. Crowley, Norbert Noury and Christophe Cérin and has published in prestigious journals such as Neurocomputing, Artificial Intelligence in Medicine and ACM Transactions on Interactive Intelligent Systems.

In The Last Decade

Grégoire Lefebvre

13 papers receiving 81 citations

Peers

Grégoire Lefebvre

CVPR

AI

CN

ECP

CNC

P. Ashok Babu India

Iris A. M. Huijben Netherlands

Esra Vural Türkiye

Peter Wang United States

Chester Holtz United States

Tommaso Furlanello United States

George Retsinas Greece

Aaron Jaech United States

Saikat Roy India

P. Ashok Babu India

Grégoire Lefebvre

30 ×0.8

CVPR

26 ×1.1

AI

29 ×1.9

CN

15 ×1.2

ECP

4 ×0.4

CNC

Citations per year, relative to Grégoire Lefebvre Grégoire Lefebvre (= 1×) peers P. Ashok Babu

Countries citing papers authored by Grégoire Lefebvre

Since Specialization

Citations

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

Fields of papers citing papers by Grégoire Lefebvre

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Grégoire Lefebvre

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

All Works

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13 of 13 papers shown

1.

Lefebvre, Grégoire, et al.. (2025). MEFA: Multimodal Image Early Fusion with Attention Module for Pedestrian and Vehicle Detection. SPIRE - Sciences Po Institutional REpository. 610–617. 1 indexed citations

2.

Lefebvre, Grégoire, et al.. (2022). Transformer-Based Self-Supervised Learning for Emotion Recognition. 2022 26th International Conference on Pattern Recognition (ICPR). 2605–2612. 18 indexed citations

3.

Lefebvre, Grégoire, et al.. (2021). Sequence Metric Learning as Synchronization of Recurrent Neural Networks. HAL (Le Centre pour la Communication Scientifique Directe). 1–8. 1 indexed citations

4.

Lefebvre, Grégoire, et al.. (2020). Learning personalized ADL recognition models from few raw data. Artificial Intelligence in Medicine. 107. 101916–101916. 5 indexed citations

5.

Lefebvre, Grégoire, et al.. (2020). Improving indoor geomagnetic field fingerprinting using recurrence plot-based convolutional neural networks. Journal of Location Based Services. 15(1). 61–87. 6 indexed citations

6.

Lefebvre, Grégoire, et al.. (2020). PSINES. ACM Transactions on Autonomous and Adaptive Systems. 15(1). 1–12. 2 indexed citations

7.

Mihoub, Alaeddine & Grégoire Lefebvre. (2019). Wearables and Social Signal Processing for Smarter Public Presentations. ACM Transactions on Interactive Intelligent Systems. 9(2-3). 1–24. 8 indexed citations

8.

Ramparany, Fano, et al.. (2018). Fusion de décisions par lieu pour reconnaître l’Activité Humaine et sa prise en compte dans la gestion de contexte. 18(1). 1 indexed citations

9.

Ramparany, Fano, et al.. (2018). A semantic event approach to enrich device-free indoor localization data. 106–111. 1 indexed citations

10.

Lefebvre, Grégoire, et al.. (2017). Class-balanced siamese neural networks. Neurocomputing. 273. 47–56. 25 indexed citations

11.

Lefebvre, Grégoire, et al.. (2017). Evolution of Activities of Daily Living using Inertia Measurements: The Lunch and Dinner Activities. 5. 2 indexed citations

12.

Zheng, Huicheng, Grégoire Lefebvre, & Camille Laurent. (2008). Fast-Learning Adaptive-Subspace Self-Organizing Map: An Application to Saliency-Based Invariant Image Feature Construction. IEEE Transactions on Neural Networks. 19(5). 746–757. 10 indexed citations

13.

Lefebvre, Grégoire & Christophe García. (2008). A probabilistic Self-Organizing Map for facial recognition. Proceedings - International Conference on Pattern Recognition. 1–4. 7 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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