| Max-plus operators applied to filter selection and model pruning in neural networks Y Zhang, S Blusseau, S Velasco-Forero, I Bloch, J Angulo Mathematical Morphology and Its Applications to Signal and Image Processing …, 2019 | 36 | 2019 |
| Scale equivariant neural networks with morphological scale-spaces M Sangalli, S Blusseau, S Velasco-Forero, J Angulo International Conference on Discrete Geometry and Mathematical Morphology …, 2021 | 22 | 2021 |
| Instance segmentation of 3D woven fabric from tomography images by Deep Learning and morphological pseudo-labeling S Blusseau, Y Wielhorski, Z Haddad, S Velasco-Forero Composites Part B: Engineering 247, 110333, 2022 | 20 | 2022 |
| Instance segmentation of 3D woven fabric from tomography images by Deep Learning and morphological pseudo-labeling S Blusseau, Y Wielhorski, Z Haddad, S Velasco-Forero Composites Part B: Engineering 247, 110333, 2022 | 20 | 2022 |
| Scale Equivariant U-Net M Sangalli, S Blusseau, S Velasco-Forero, J Angulo 33rd British Machine Vision Conference 2022, 2022 | 15 | 2022 |
| Measuring the visual salience of alignments by their non-accidentalness S Blusseau, A Carboni, A Maiche, JM Morel, RG von Gioi Vision research 126, 192-206, 2016 | 13 | 2016 |
| Moving frame net: SE (3)-equivariant network for volumes M Sangalli, S Blusseau, S Velasco-Forero, J Angulo NeurIPS Workshop on Symmetry and Geometry in Neural Representations, 81-97, 2023 | 10 | 2023 |
| On Some Associations Between Mathematical Morphology and Artificial Intelligence I Bloch, S Blusseau, RP Pérez, É Puybareau, G Tochon International Conference on Discrete Geometry and Mathematical Morphology …, 2021 | 10 | 2021 |
| Tropical and Morphological Operators for Signals on Graphs S Blusseau, S Velasco-Forero, J Angulo, I Bloch 2018 25th IEEE International Conference on Image Processing (ICIP), 1198-1202, 2018 | 8 | 2018 |
| A PSYCHOPHYSICAL EVALUATION OF THE A CONTRARIO DETECTION THEORY S Blusseau, A Carboni, A Maiche, JM Morel, RG von Gioi IEEE International Conference on Image Processing, 2014 | 8 | 2014 |
| DIFFERENTIAL INVARIANTS FOR SE (2)-EQUIVARIANT NETWORKS M Sangalli, S Blusseau, S Velasco-Forero, J Angulo 29th IEEE International Conference on Image Processing (IEEE ICIP), 2022 | 5 | 2022 |
| Adaptive anisotropic morphological filtering based on co-circularity of local orientations S Blusseau, S Velasco-Forero, J Angulo, I Bloch Image Processing On Line 12, 111-141, 2022 | 4 | 2022 |
| Approximating morphological operators with part-based representations learned by asymmetric auto-encoders S Blusseau, B Ponchon, S Velasco-Forero, J Angulo, I Bloch Mathematical Morphology-Theory and Applications 4 (1), 64-86, 2020 | 4 | 2020 |
| Training morphological neural networks with gradient descent: some theoretical insights S Blusseau International Conference on Discrete Geometry and Mathematical Morphology …, 2024 | 3 | 2024 |
| Applying deep learning to melanocyte counting on fluorescent trp1 labelled images of in vitro skin model T Lazard, S Blusseau, S Velasco-Forero, E Decencière, V Flouret, ... Image Analysis & Stereology 41 (3), 171–180, 2022 | 3 | 2022 |
| On salience and non-accidentalness: comparing human vision to a contrario algorithms S Blusseau École normale supérieure de Cachan-ENS Cachan, 2015 | 3 | 2015 |
| Morphological adjunctions represented by matrices in max-plus algebra for signal and image processing S Blusseau, S Velasco-Forero, J Angulo, I Bloch International Conference on Discrete Geometry and Mathematical Morphology …, 2022 | 2 | 2022 |
| Quantitative Characterization of Ductility for Fractographic Analysis LH Brassart, S Blusseau, F Willot, F Delloro, G Rolland, J Besson, ... European Consortium for Mathematics in Industry, 349-355, 2021 | 2 | 2021 |
| Part-based approximations for morphological operators using asymmetric auto-encoders B Ponchon, S Velasco-Forero, S Blusseau, J Angulo, I Bloch Mathematical Morphology and Its Applications to Signal and Image Processing …, 2019 | 2 | 2019 |
| Psychophysics, Gestalts and Games J Lezama, S Blusseau, JM Morel, G Randall, RG von Gioi Neuromathematics of Vision, 217-242, 2014 | 2 | 2014 |
