Analysis of (sub-)Riemannian PDE-G-CNNs

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Analysis of (sub-)Riemannian PDE-G-CNNs

Journal of Mathematical Imaging and Vision (JMIV), 2022

3 October 2022

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Papers citing "Analysis of (sub-)Riemannian PDE-G-CNNs"

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Title
Equivariant Eikonal Neural Networks: Grid-Free, Scalable Travel-Time Prediction on Homogeneous Spaces Alejandro García-Castellanos David R. Wessels Nicky van den Berg R. Duits Daniël M. Pelt Erik J. Bekkers 199 0 0 21 May 2025
Orientation Scores should be a Piece of Cake Finn M. Sherry Chase van de Geijn Erik J. Bekkers R. Duits 163 1 0 01 Apr 2025
Deep Learning for Segmentation of Cracks in High-Resolution Images of Steel Bridges Andrii Kompanets Gautam Pai R. Duits Davide Leonetti Bert Snijder 147 10 0 26 Mar 2024
PDE-CNNs: Axiomatic Derivations and ApplicationsJournal of Mathematical Imaging and Vision (JMIV), 2024 Gijs Bellaard Sei Sakata B. Smets R. Duits AI4CE 151 2 0 22 Mar 2024
Geometric Generative Models based on Morphological Equivariant PDEs and GANsInternational Conference on Pattern Recognition (ICPR), 2024 El Hadji S. Diop Thierno Fall Alioune Mbengue Mohamed Daoudi GAN 217 1 0 22 Mar 2024
Optimal Transport on the Lie Group of Roto-translations Daan Bon Gautam Pai Gijs Bellaard Olga Mula R. Duits OT 227 2 0 23 Feb 2024