Deep Semi-Supervised Learning. - Zeyad Hailat; Artem Komarichev; Xue-wen Chen 001 (ICPR, 2018)

A-CNN: Annularly Convolutional Neural Networks on Point Clouds. - Artem Komarichev; Zichun Zhong; Jing Hua 001 (CVPR, 2019)

Learning geometry-aware joint latent space for simultaneous multimodal shape generation. - Artem Komarichev; Jing Hua 001; Zichun Zhong (Comput. Aided Geom. Des., 2022)

DiffSVR: Differentiable Neural Implicit Surface Rendering for Single-View Reconstruction with Highly Sparse Depth Prior. - Artem Komarichev; Jing Hua 001; Zichun Zhong (Comput. Aided Des., 2023)

T-3DGS: Removing Transient Objects for 3D Scene Reconstruction. - Vadim Pryadilshchikov; Alexander Markin; Artem Komarichev; Ruslan Rakhimov; Peter Wonka; Evgeny Burnaev (CoRR, 2024)

G-CUT3R: Guided 3D Reconstruction with Camera and Depth Prior Integration. - Ramil Khafizov; Artem Komarichev; Ruslan Rakhimov; Peter Wonka; Evgeny Burnaev (CoRR, 2025)