Florent Retraint

1.7k total citations · 1 hit paper
48 papers, 772 citations indexed

About

Florent Retraint is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Florent Retraint has authored 48 papers receiving a total of 772 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Computer Vision and Pattern Recognition, 15 papers in Media Technology and 6 papers in Artificial Intelligence. Recurrent topics in Florent Retraint's work include Digital Media Forensic Detection (30 papers), Advanced Steganography and Watermarking Techniques (27 papers) and Image Processing Techniques and Applications (11 papers). Florent Retraint is often cited by papers focused on Digital Media Forensic Detection (30 papers), Advanced Steganography and Watermarking Techniques (27 papers) and Image Processing Techniques and Applications (11 papers). Florent Retraint collaborates with scholars based in France, China and Belgium. Florent Retraint's co-authors include Rémi Cogranne, Thanh Hai Thai, Tong Qiao, Appolinaire Tagne, Igor V. Nikiforov, Aichun Zhu, Lionel Fillatre, Xiangyang Luo, Philippe Cornu and Françoise Peyrin and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Florent Retraint

46 papers receiving 735 citations

Hit Papers

align trajectories

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.

FieldPlant: A Dataset of Field Plant Images for Plant Disease Detection and Classification With Deep Learning

2023 98 citations Florent Retraint et al. IEEE Access profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Florent Retraint France	15	587	142	103	57	56	48	772
Israr Hussain Pakistan	11	153 0.3×	29 0.2×	88 0.9×	57 1.0×	3 0.1×	40	336
Haiwei Wu China	12	328 0.6×	84 0.6×	7 0.1×	154 2.7×	18 0.3×	51	526
WeiQi Yan Singapore	15	557 0.9×	42 0.3×	12 0.1×	101 1.8×	4 0.1×	60	638
Lijuan Zhang China	11	160 0.3×	49 0.3×	90 0.9×	60 1.1×		78	395
Saiful Islam India	11	177 0.3×	25 0.2×	50 0.5×	51 0.9×	2 0.0×	44	385
Akbar Sheikh-Akbari United Kingdom	11	182 0.3×	38 0.3×	16 0.2×	25 0.4×	2 0.0×	101	438
Karun Verma India	10	126 0.2×	65 0.5×	52 0.5×	54 0.9×		26	366
S. Amirhassan Monadjemi Iran	13	172 0.3×	40 0.3×	19 0.2×	83 1.5×		42	422

Countries citing papers authored by Florent Retraint

Since Specialization

Citations

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

Fields of papers citing papers by Florent Retraint

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florent Retraint

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

All Works

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20 of 20 papers shown

Retraint, Florent, et al.. (2025). Statistical modeling and likelihood ratio testing for resampling detection in TIFF images. Signal Processing. 239. 110282–110282.

Qiao, Tong, Ran Shi, Meng Han, et al.. (2024). Scalable Universal Adversarial Watermark Defending Against Facial Forgery. IEEE Transactions on Information Forensics and Security. 19. 8998–9011. 8 indexed citations

Qiao, Tong, et al.. (2024). Fully Unsupervised Deepfake Video Detection Via Enhanced Contrastive Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(7). 4654–4668. 13 indexed citations

Qiao, Tong, et al.. (2024). Deepfake Detection Fighting Against Noisy Label Attack. IEEE Transactions on Multimedia. 26. 9047–9059. 4 indexed citations

Retraint, Florent, et al.. (2022). Modeling a Local Dissimilarity Map With Weibull Distribution–Application to 2-Class and Multi-Class Image Classification. IEEE Access. 10. 35750–35767. 1 indexed citations

Retraint, Florent, et al.. (2022). Optical Aerial Images Change Detection Based on a Color Local Dissimilarity Map and k-Means Clustering. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 1 indexed citations

Retraint, Florent, et al.. (2022). A Statistical Modeling Framework for DCT Coefficients of Tampered JPEG Images and Forgery Localization. IEEE Access. 10. 71143–71164. 2 indexed citations

Retraint, Florent, et al.. (2019). Face Presentation Attack Detection Based on a Statistical Model of Image Noise. IEEE Access. 7. 175429–175442. 10 indexed citations

Qiao, Tong, Aichun Zhu, & Florent Retraint. (2017). Exposing image resampling forgery by using linear parametric model. Multimedia Tools and Applications. 77(2). 1501–1523. 23 indexed citations

10.

Cogranne, Rémi, et al.. (2016). Fully automatic detection of anomalies on wheels surface using an adaptive accurate model and hypothesis testing theory. HAL (Le Centre pour la Communication Scientifique Directe). 508–512. 4 indexed citations

11.

Thai, Thanh Hai, Florent Retraint, & Rémi Cogranne. (2015). Camera model identification based on the generalized noise model in natural images. Digital Signal Processing. 48. 285–297. 45 indexed citations

12.

Thai, Thanh Hai, Florent Retraint, & Rémi Cogranne. (2015). Generalized signal-dependent noise model and parameter estimation for natural images. Signal Processing. 114. 164–170. 17 indexed citations

13.

Qiao, Tong, et al.. (2014). Statistical detection of Jsteg steganography using hypothesis testing theory. HAL (Le Centre pour la Communication Scientifique Directe). 5517–5521. 13 indexed citations

14.

Thai, Thanh Hai, Florent Retraint, & Rémi Cogranne. (2013). Statistical detection of data hidden in least significant bits of clipped images. Signal Processing. 98. 263–274. 12 indexed citations

15.

Thai, Thanh Hai, Rémi Cogranne, & Florent Retraint. (2013). Camera Model Identification Based on the Heteroscedastic Noise Model. IEEE Transactions on Image Processing. 23(1). 250–263. 77 indexed citations

16.

Cogranne, Rémi & Florent Retraint. (2013). Statistical detection of defects in radiographic images using an adaptive parametric model. Signal Processing. 96. 173–189. 27 indexed citations

17.

Fillatre, Lionel, Igor V. Nikiforov, & Florent Retraint. (2008). $\varepsilon$-Optimal Non-Bayesian Anomaly Detection for Parametric Tomography. IEEE Transactions on Image Processing. 17(11). 1985–1999. 8 indexed citations

18.

Fillatre, Lionel, Igor V. Nikiforov, & Florent Retraint. (2007). A Simple Algorithm for Defect Detection From a Few Radiographies. Journal of Computers. 2(6). 5 indexed citations

19.

Retraint, Florent, et al.. (1998). Three-dimensional regularized binary image reconstruction from three two-dimensional projections using a randomized ICM algorithm. International Journal of Imaging Systems and Technology. 9(2-3). 135–146. 6 indexed citations

20.

Retraint, Florent, et al.. (1998). Three‐dimensional regularized binary image reconstruction from three two‐dimensional projections using a randomized ICM algorithm. International Journal of Imaging Systems and Technology. 9(23). 135–146. 2 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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