Julien Mille

890 total citations
16 papers, 247 citations indexed

About

Julien Mille is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Julien Mille has authored 16 papers receiving a total of 247 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 4 papers in Computational Mechanics and 3 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Julien Mille's work include Medical Image Segmentation Techniques (8 papers), Image Retrieval and Classification Techniques (4 papers) and Digital Image Processing Techniques (3 papers). Julien Mille is often cited by papers focused on Medical Image Segmentation Techniques (8 papers), Image Retrieval and Classification Techniques (4 papers) and Digital Image Processing Techniques (3 papers). Julien Mille collaborates with scholars based in France, Argentina and Pakistan. Julien Mille's co-authors include Laure Tougne, Antoine Vacavant, Guillaume Cerutti, Didier Coquin, Laurent D. Cohen, Imtiaz Ali, Sébastien Bougleux, Mingyuan Jiu, Christophe García and Charles‐Edmond Bichot and has published in prestigious journals such as International Journal of Computer Vision, Pattern Recognition Letters and Computer Vision and Image Understanding.

In The Last Decade

Julien Mille

13 papers receiving 239 citations

Peers

Julien Mille
Julien Mille
Citations per year, relative to Julien Mille Julien Mille (= 1×) peers Romulus Terebeş

Countries citing papers authored by Julien Mille

Since Specialization
Citations

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

Fields of papers citing papers by Julien Mille

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julien Mille

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

All Works

16 of 16 papers shown
1.
Galerne, Bruno, et al.. (2025). Semi-Unbalanced Optimal Transport for Reference-Based Image Restoration and Synthesis. SIAM Journal on Imaging Sciences. 18(2). 1372–1416.
2.
Mille, Julien. (2022). Convex Quadratic Programming for Slimming Convolutional Networks. 2022 IEEE International Conference on Image Processing (ICIP). 1121–1125.
3.
Mille, Julien, et al.. (2022). Efficient Dynamic Texture Classification with Probabilistic Motifs. 2022 26th International Conference on Pattern Recognition (ICPR). 25. 564–570.
4.
Mille, Julien, et al.. (2018). Euclidean Distance-Based Skeletons: A Few Notes on Average Outward Flux and Ridgeness. Journal of Mathematical Imaging and Vision. 61(3). 310–330. 4 indexed citations
5.
Mille, Julien, et al.. (2016). Hierarchical skeleton for shape matching. 99. 3603–3607. 4 indexed citations
6.
Mille, Julien, et al.. (2015). Noise-resistant Digital Euclidean Connected Skeleton for graph-based shape matching. Journal of Visual Communication and Image Representation. 31. 165–176. 7 indexed citations
7.
Wolf, Christian, Eric Lombardi, Julien Mille, et al.. (2014). Evaluation of video activity localizations integrating quality and quantity measurements. Computer Vision and Image Understanding. 127. 14–30. 51 indexed citations
8.
Mille, Julien, Sébastien Bougleux, & Laurent D. Cohen. (2014). Combination of Piecewise-Geodesic Paths for Interactive Segmentation. International Journal of Computer Vision. 112(1). 1–22. 14 indexed citations
9.
Ali, Imtiaz, Julien Mille, & Laure Tougne. (2013). Adding a rigid motion model to foreground detection: application to moving object detection in rivers. Pattern Analysis and Applications. 17(3). 567–585. 7 indexed citations
10.
Cerutti, Guillaume, Laure Tougne, Julien Mille, Antoine Vacavant, & Didier Coquin. (2013). Understanding leaves in natural images – A model-based approach for tree species identification. Computer Vision and Image Understanding. 117(10). 1482–1501. 81 indexed citations
11.
Ali, Imtiaz, Julien Mille, & Laure Tougne. (2012). Space–time spectral model for object detection in dynamic textured background. Pattern Recognition Letters. 33(13). 1710–1716. 14 indexed citations
12.
Mille, Julien & Laurent D. Cohen. (2009). Deformable tree models for 2D and 3D branching structures extraction. 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. 3 indexed citations
13.
Mille, Julien. (2009). Narrow band region-based active contours and surfaces for 2D and 3D segmentation. Computer Vision and Image Understanding. 113(9). 946–965. 45 indexed citations
14.
Mille, Julien & Laurent D. Cohen. (2009). Deformable tree models for 2D and 3D branching structures extraction. 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. 149–156. 12 indexed citations
15.
16.
Mille, Julien, et al.. (2006). Greedy Algorithm and Physics-Based Method for Active Contours and Surfaces: A Comparative Study. 1645–1648. 4 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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