1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2024★ 1 cited
ILPO-NET: Network for the invariant recognition of arbitrary volumetric patterns in 3D
Dmitrii Zhemchuzhnikov, Sergei Grudinin
Effective recognition of spatial patterns and learning their hierarchy is crucial in modern spatial data analysis. Volumetric data applications seek techniques ensuring invariance…
cs.CV2024
On the Fourier analysis in the SO(3) space : EquiLoPO Network
Dmitrii Zhemchuzhnikov, Sergei Grudinin
Analyzing volumetric data with rotational invariance or equivariance is an active topic in current research. Existing deep-learning approaches utilize either group convolutional ne…
q-bio.QM2021
6DCNN with roto-translational convolution filters for volumetric data processing
Dmitrii Zhemchuzhnikov, Ilia Igashov, Sergei Grudinin
In this work, we introduce 6D Convolutional Neural Network (6DCNN) designed to tackle the problem of detecting relative positions and orientations of local patterns when processing…