M. Sangalli, S. Blusseau, S. Velasco-Forero, J. Angulo (2021): Scale Equivariant Neural Networks with Morphological Scale-Spaces
. IAPR International Conference on Discrete Geometry and Mathematical Morphology (DGMM), 2021, Uppsala (Sweden).
R. Rodriguez Salas, P. Dokládal, E. Dokladalova (2021): A Minimal Model for Classification of Rotated Objects with Prediction of the Angle of Rotation
. Journal of Visual Communication and Image Representation 75 103054.
D. Duque-Arias, S. Velasco-Forero, J.E. Deschaud, F. Goulette, A. Serna, E. Decencière, B. Marcotegui (2021): On power Jaccard losses for semantic segmentation
. VISAPP 2021 : 16th International Conference on Computer Vision Theory and Applications, Vienne (on line) (Austria).
Since its foundation in 1967, the CMM has contributed to the growth and dissemination of the theoretical and algorithmic corpus of mathematical morphology, making use of very broad fields of application, thereby providing a rich experimental terrain for the development of new concepts and tools. Its activities centre around collaboration with industry, research and teaching.
Presentation of the CMM