Mateus Sangalli

According to our database1, Mateus Sangalli authored at least 7 papers between 2018 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Equivariant Deep Learning Based on Scale-Spaces and Moving Frames. (Apprentissage Profond Équivariant Basé sur les Espaces d'Échelle et les Repères Mobiles).
PhD thesis, 2022

Moving frame net: SE(3)-equivariant network for volumes.
Proceedings of the NeurIPS Workshop on Symmetry and Geometry in Neural Representations, 2022

Differential Invariants for SE(2)-Equivariant Networks.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Scale-Equivariant U-Net.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
Scale Equivariant Neural Networks with Morphological Scale-Spaces.
Proceedings of the Discrete Geometry and Mathematical Morphology, 2021

2019
Approaches to Multivalued Mathematical Morphology Based on Uncertain Reduced Orderings.
Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2019

2018
Color Mathematical Morphology Using a Fuzzy Color-Based Supervised Ordering.
Proceedings of the Fuzzy Information Processing, 2018


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