Dominique Thoreau

1.1k total citations
34 papers, 735 citations indexed

About

Dominique Thoreau is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Cognitive Neuroscience. According to data from OpenAlex, Dominique Thoreau has authored 34 papers receiving a total of 735 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 15 papers in Signal Processing and 6 papers in Cognitive Neuroscience. Recurrent topics in Dominique Thoreau's work include Advanced Vision and Imaging (21 papers), Video Coding and Compression Technologies (15 papers) and Advanced Image Processing Techniques (12 papers). Dominique Thoreau is often cited by papers focused on Advanced Vision and Imaging (21 papers), Video Coding and Compression Technologies (15 papers) and Advanced Image Processing Techniques (12 papers). Dominique Thoreau collaborates with scholars based in France, Germany and Türkiye. Dominique Thoreau's co-authors include Olivier Le Meur, Dominique Barba, Patrick Le Callet, Philippe Guillotel, Christine Guillemot, Kadi Bouatouch, Rémi Cozot, Patrick Le Callet, Mehmet Türkan and Keith W. Ross and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Signal Processing Image Communication.

In The Last Decade

Dominique Thoreau

33 papers receiving 695 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dominique Thoreau France 10 688 163 115 114 75 34 735
Patrick Le Callet France 10 786 1.1× 212 1.3× 123 1.1× 126 1.1× 41 0.5× 16 879
Jonathan Harel United States 4 828 1.2× 251 1.5× 241 2.1× 171 1.5× 26 0.3× 7 950
Hadi Hadizadeh Canada 11 422 0.6× 45 0.3× 43 0.4× 29 0.3× 68 0.9× 39 470
Jeffrey S. Perry United States 9 423 0.6× 369 2.3× 31 0.3× 154 1.4× 48 0.6× 11 683
Fred Stentiford United Kingdom 15 503 0.7× 50 0.3× 27 0.2× 102 0.9× 50 0.7× 51 643
Anne Guérin-Dugué France 15 345 0.5× 300 1.8× 73 0.6× 112 1.0× 106 1.4× 42 689
Xosé R. Fdez-Vidal Spain 11 501 0.7× 161 1.0× 100 0.9× 83 0.7× 9 0.1× 29 562
Umesh Rajashekar United States 13 337 0.5× 203 1.2× 46 0.4× 108 0.9× 14 0.2× 23 497
Du‐Sik Park South Korea 15 543 0.8× 103 0.6× 10 0.1× 124 1.1× 219 2.9× 69 819
Qi Ma China 4 539 0.8× 92 0.6× 129 1.1× 62 0.5× 11 0.1× 6 592

Countries citing papers authored by Dominique Thoreau

Since Specialization
Citations

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

Fields of papers citing papers by Dominique Thoreau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dominique Thoreau

This figure shows the co-authorship network connecting the top 25 collaborators of Dominique Thoreau. A scholar is included among the top collaborators of Dominique Thoreau 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 Dominique Thoreau. Dominique Thoreau 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.
Bégaint, Jean, Dominique Thoreau, Philippe Guillotel, & Christine Guillemot. (2017). Region-Based Prediction for Image Compression in the Cloud. IEEE Transactions on Image Processing. 27(4). 1835–1846. 10 indexed citations
2.
Bégaint, Jean, Dominique Thoreau, Philippe Guillotel, & Mehmet Türkan. (2016). Locally-Weighted Template-Matching Based Prediction for Cloud-Based Image Compression. 30. 417–426. 3 indexed citations
3.
Pendu, Mikaël Le, Christine Guillemot, & Dominique Thoreau. (2016). Inter-Layer Prediction of Color in High Dynamic Range Image Scalable Compression. IEEE Transactions on Image Processing. 25(8). 3585–3596. 4 indexed citations
4.
Zepeda, Joaquin, Mehmet Türkan, & Dominique Thoreau. (2015). Block prediction using approximate template matching. 13. 96–100. 2 indexed citations
5.
Pendu, Mikaël Le, Christine Guillemot, & Dominique Thoreau. (2015). Local inverse tone curve learning for high dynamic range image scalable compression. IEEE Transactions on Image Processing. 24(12). 5753–5763. 8 indexed citations
6.
Pendu, Mikaël Le, Christine Guillemot, & Dominique Thoreau. (2015). Template based inter-layer prediction for high dynamic range scalable compression. 2974–2978. 5 indexed citations
7.
Thoreau, Dominique, et al.. (2014). Motion-guided quantization for video tone mapping. SPIRE - Sciences Po Institutional REpository. 1–6. 6 indexed citations
8.
Türkan, Mehmet, Dominique Thoreau, & Philippe Guillotel. (2014). Iterated neighbor-embeddings for image super-resolution. 28. 3887–3891. 6 indexed citations
9.
Thoreau, Dominique, et al.. (2014). Prediction-guided quantization for video tone mapping. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9217. 92170B–92170B. 2 indexed citations
10.
Alain, Martin, et al.. (2013). Locally linear embedding methods for inter image coding. 1904–1908. 2 indexed citations
11.
Guillemot, Christine, et al.. (2013). K-NN search using local learning based on regression for neighbor embedding-based image prediction. 290. 2006–2010. 4 indexed citations
12.
Cozot, Rémi, et al.. (2013). Zonal brightness coherency for video tone mapping. Signal Processing Image Communication. 29(2). 229–246. 26 indexed citations
13.
Guillemot, Christine, et al.. (2012). Correspondence Map-Aided Neighbor Embedding for Image Intra Prediction. IEEE Transactions on Image Processing. 22(3). 1161–1174. 9 indexed citations
14.
Türkan, Mehmet, Dominique Thoreau, & Philippe Guillotel. (2012). Self-content super-resolution for ultra-HD up-sampling. 49–58. 7 indexed citations
15.
Thoreau, Dominique, et al.. (2010). Sparse shift-DCT spatial prediction. 3385–3388. 1 indexed citations
16.
Guillemot, Christine, et al.. (2009). Phase refinement for image prediction based on sparse representation. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7543. 75430H–75430H. 1 indexed citations
17.
Guillemot, Christine, et al.. (2008). Atomic decomposition dedicated to AVC and spatial SVC prediction. 17. 2492–2495. 1 indexed citations
18.
Meur, Olivier Le, Patrick Le Callet, Dominique Barba, & Dominique Thoreau. (2006). A coherent computational approach to model bottom-up visual attention. IEEE Transactions on Pattern Analysis and Machine Intelligence. 28(5). 802–817. 449 indexed citations
19.
Meur, Olivier Le, et al.. (2004). MASKING EFFECT IN VISUAL ATTENTION MODELING. 2 indexed citations
20.
Guillotel, Philippe, et al.. (2003). Implementation of adaptive streaming of stored MPEG-4 FGS video over TCP. 405–408. 30 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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