Dmitrii Zhemchuzhnikov — accepted AI-conference papers

2026

cadrille: Multi-modal CAD Reconstruction with Reinforcement Learning

Maksim Kolodiazhnyi, Denis Tarasov, Dmitrii Zhemchuzhnikov, Alexander Nikulin, Ilya Zisman, Anna Vorontsova +3

ICLR 2026oral

Computer-Aided Design (CAD) plays a central role in engineering and manufacturing, making it possible to create precise and editable 3D models. Using a variety of sensor or user-provided data as inputs for CAD reconstruction can democratize access to design applications. However, most existing metho…

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2025

On the Fourier analysis in the SO(3) space : the EquiLoPO Network

Dmitrii Zhemchuzhnikov, Sergei Grudinin

ICLR 2025poster

Analyzing volumetric data with rotational invariance or equivariance is currently an active research topic. Existing deep-learning approaches utilize either group convolutional networks limited to discrete rotations or steerable convolutional networks with constrained filter structures. This work pr…

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2022

6DCNN with Roto-Translational Convolution Filters for Volumetric Data Processing

Dmitrii Zhemchuzhnikov, Ilia Igashov, Sergei Grudinin

AAAI 2022technical

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 three-dimensional volumetric data. 6DCNN also includes SE(3)-equivariant message-passing and nonlinear activation opera…

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