A comparative review of component tree computation algorithms E Carlinet, T Géraud IEEE Transactions on Image Processing 23 (9), 3885-3895, 2014 | 140 | 2014 |
A Quasi-linear Algorithm to Compute the Tree of Shapes of nD Images T Géraud, E Carlinet, S Crozet, L Najman International symposium on mathematical morphology and its applications to …, 2013 | 129 | 2013 |
MToS: A tree of shapes for multivariate images E Carlinet, T Géraud IEEE Transactions on Image Processing 24 (12), 5330-5342, 2015 | 69 | 2015 |
Hierarchical segmentation using tree-based shape spaces Y Xu, E Carlinet, T Géraud, L Najman IEEE transactions on pattern analysis and machine intelligence 39 (3), 457-469, 2016 | 67 | 2016 |
A comparison of many max-tree computation algorithms E Carlinet, T Géraud International Symposium on Mathematical Morphology and Its Applications to …, 2013 | 34 | 2013 |
Vectorization of historical maps using deep edge filtering and closed shape extraction Y Chen, E Carlinet, J Chazalon, C Mallet, B Duménieu, J Perret International conference on document analysis and recognition, 510-525, 2021 | 27 | 2021 |
Left atrial segmentation in a few seconds using fully convolutional network and transfer learning É Puybareau, Z Zhao, Y Khoudli, E Carlinet, Y Xu, J Lacotte, T Géraud International Workshop on Statistical Atlases and Computational Models of …, 2018 | 27 | 2018 |
ICDAR 2021 competition on historical map segmentation J Chazalon, E Carlinet, Y Chen, J Perret, B Duménieu, C Mallet, T Géraud, ... International Conference on Document Analysis and Recognition, 693-707, 2021 | 24 | 2021 |
Combining deep learning and mathematical morphology for historical map segmentation Y Chen, E Carlinet, J Chazalon, C Mallet, B Duménieu, J Perret International Conference on Discrete Geometry and Mathematical Morphology, 79-92, 2021 | 23 | 2021 |
Efficient computation of attributes and saliency maps on tree-based image representations Y Xu, E Carlinet, T Géraud, L Najman Mathematical Morphology and Its Applications to Signal and Image Processing …, 2015 | 22 | 2015 |
The tree of shapes turned into a max-tree: a simple and efficient linear algorithm E Carlinet, S Crozet, T Géraud 2018 25th IEEE International Conference on Image Processing (ICIP), 1488-1492, 2018 | 20 | 2018 |
Self-duality and digital topology: links between the morphological tree of shapes and well-composed gray-level images T Géraud, E Carlinet, S Crozet Mathematical Morphology and Its Applications to Signal and Image Processing …, 2015 | 18 | 2015 |
A Benchmark of Named Entity Recognition Approaches in Historical Documents Application to 19 Century French Directories N Abadie, E Carlinet, J Chazalon, B Duménieu International Workshop on Document Analysis Systems, 445-460, 2022 | 15 | 2022 |
A color tree of shapes with illustrations on filtering, simplification, and segmentation E Carlinet, T Géraud Mathematical Morphology and Its Applications to Signal and Image Processing …, 2015 | 14 | 2015 |
A morphological tree of shapes for color images E Carlinet, T Géraud 2014 22nd International Conference on Pattern Recognition, 1132-1137, 2014 | 11 | 2014 |
Introducing the Dahu pseudo-distance T Géraud, Y Xu, E Carlinet, N Boutry Mathematical Morphology and Its Applications to Signal and Image Processing …, 2017 | 10 | 2017 |
Morphological object picking based on the color tree of shapes E Carlinet, T Géraud 2015 International Conference on Image Processing Theory, Tools and …, 2015 | 10 | 2015 |
Getting a morphological tree of shapes for multivariate images: Paths, traps, and pitfalls E Carlinet, T Géraud 2014 IEEE International Conference on Image Processing (ICIP), 615-619, 2014 | 10 | 2014 |
Max-tree computation on GPUs N Blin, E Carlinet, F Lemaitre, L Lacassagne, T Géraud IEEE Transactions on Parallel and Distributed Systems 33 (12), 3520-3531, 2022 | 8 | 2022 |
Introducing the Boundary-Aware loss for deep image segmentation MÔV Ngoc, Y Chen, N Boutry, J Chazalon, E Carlinet, J Fabrizio, C Mallet, ... British Machine Vision Conference (BMVC) 2021, 2021 | 6 | 2021 |