Home
From LRDE
The LRDE is a research laboratory under the tutelage of EPITA, Graduate School of Computer Science.
Our main areas of expertise are « Image processing and pattern recognition » and « Automata and verification » with a transverse research axis « Performance and genericity ».
Building on its solid scientific production and academic collaborations, the laboratory has industrial contracts, conducts internal research projects and participates in collaborative academic research projects.
Latest news RSS
- Publication Combining Parallel Emptiness Checks with Partial Order Reductions in Proceedings of the 21st International Conference on Formal Engineering Methods (ICFEM'19) — 2 August 2019
- Ludovic Le Frioux defends his PhD thesis "Towards more efficient parallel SAT solving" at EPITA at 2 pm. — 3 July 2019
- LRDE Student Seminar : 2021 students present their work. — 2 July 2019
You can find the programme here. Seminars are free and open to anyone.
- RDI Student Seminar : 2020 students present their work. — 1 July 2019
You can find the programme here. Seminars are free and open to anyone.
- Publication Braids of Partitions for the Hierarchical Representation and Segmentation of Multimodal Images in Pattern Recognition — 1 July 2019
- Publication One More Step Towards Well-Composedness of Cell Complexes over n-D Pictures in Proceedings of the 21st International Conference on Discrete Geometry for Computer Imagery (DGCI) — 18 June 2019
- Publication Filtres connexes multivariés par fusion d'arbres de composantes in Proceedings of the 27st Symposium on Signal and Image Processing (GRETSI) — 14 June 2019
- Publication Estimation du niveau de bruit par arbre des formes et statistiques non paramétriques in Proceedings of the 27st Symposium on Signal and Image Processing (GRETSI) — 14 June 2019
- Publication Estimating the noise level function with the tree of shapes and non-parametric statistics in Proceedings of the 18th International Conference on Computer Analysis of Images and Patterns (CAIP) — 7 June 2019
- Publication Benchmark on Automatic 6-month-old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge in IEEE Transactions on Medical Imaging — 11 April 2019
