Ensembles of detectors for online detection of transient changes. - Alexey Artemov; Evgeny Burnaev (ICMV, 2015)

Nonparametric decomposition of quasi-periodic time series for change-point detection. - Alexey Artemov; Evgeny Burnaev; Andrey Lokot (ICMV, 2015)

Event Index - a LHCb Event Search System. - Andrey Ustyuzhanin; Alexey Artemov; Nikita Kazeev; Artem Redkin (CoRR, 2015)

Detecting Performance Degradation of Software-Intensive Systems in the Presence of Trends and Long-Range Dependence. - Alexey Artemov; Evgeny Burnaev (ICDM Workshops, 2016)

Pattern Recognition Pipeline for Neuroimaging Data. - Maxim Sharaev; Alexander Andreev; Alexey Artemov; Evgeny Burnaev; Ekaterina Kondratyeva; Svetlana Sushchinskaya; Irina Samotaeva; Vladislav Gaskin; Alexander Bernstein (ANNPR, 2018)

MRI-Based Diagnostics of Depression Concomitant with Epilepsy: In Search of the Potential Biomarkers. - Maksim Sharaev; Alexey Artemov; Ekaterina Kondratyeva; Svetlana Sushchinskaya; Evgeny Burnaev; Alexander Bernstein; Renat Akzhigitov; Alexander Andreev (DSAA, 2018)

Voxelwise 3D Convolutional and Recurrent Neural Networks for Epilepsy and Depression Diagnostics from Structural and Functional MRI Data. - Marina Pominova; Alexey Artemov; Maksim Sharaev; Ekaterina Kondrateva; Alexander Bernstein; Evgeny Burnaev (ICDM Workshops, 2018)

Learning Connectivity Patterns via Graph Kernels for fMRI-Based Depression Diagnostics. - Maksim Sharaev; Alexey Artemov; Ekaterina Kondrateva; Sergei Ivanov 002; Svetlana Sushchinskaya; Alexander Bernstein; Andrzej Cichocki; Evgeny Burnaev (ICDM Workshops, 2018)

Machine Learning pipeline for discovering neuroimaging-based biomarkers in neurology and psychiatry. - Alexander Bernstein; Evgeny Burnaev; Ekaterina Kondratyeva; Svetlana Sushchinskaya; Maxim Sharaev; Alexander Andreev; Alexey Artemov; Renat Akzhigitov (CoRR, 2018)

fMRI: preprocessing, classification and pattern recognition. - Maxim Sharaev; Alexander Andreev; Alexey Artemov; Alexander Bernstein; Evgeny Burnaev; Ekaterina Kondratyeva; Svetlana Sushchinskaya; Renat Akzhigitov (CoRR, 2018)

Perceptually-based single-image depth super-resolution. - O. Voinov; Alexey Artemov; Vage Egiazarian; Alexandr Notchenko; Gleb Bobrovskikh; Denis Zorin; Evgeniy Burnaev (CoRR, 2018)

Learning to Approximate Directional Fields Defined Over 2D Planes. - Maria Taktasheva; Albert Matveev; Alexey Artemov; Evgeny Burnaev (AIST, 2019)

ABC: A Big CAD Model Dataset for Geometric Deep Learning. - Sebastian Koch; Albert Matveev; Zhongshi Jiang; Francis Williams; Alexey Artemov; Evgeny Burnaev; Marc Alexa; Denis Zorin; Daniele Panozzo (CVPR, 2019)

Perceptual Deep Depth Super-Resolution. - Oleg Voynov; Alexey Artemov; Vage Egiazarian; Alexandr Notchenko; Gleb Bobrovskikh; Evgeny Burnaev; Denis Zorin (ICCV, 2019)

Weakly Supervised Fine Tuning Approach for Brain Tumor Segmentation Problem. - Sergey Pavlov; Alexey Artemov; Maksim Sharaev; Alexander Bernstein; Evgeny Burnaev (ICMLA, 2019)

Procedural Synthesis of Remote Sensing Images for Robust Change Detection with Neural Networks. - Maria Kolos; Anton Marin; Alexey Artemov; Evgeny Burnaev (ISNN (2), 2019)

Geometric Attention for Prediction of Differential Properties in 3D Point Clouds. - Albert Matveev; Alexey Artemov; Denis Zorin; Evgeny Burnaev (ANNPR, 2020)

Deep Vectorization of Technical Drawings. - Vage Egiazarian; Oleg Voynov; Alexey Artemov; Denis Volkhonskiy; Aleksandr Safin; Maria Taktasheva; Denis Zorin; Evgeny Burnaev (ECCV (13), 2020)

CAD-Deform: Deformable Fitting of CAD Models to 3D Scans. - Vladislav Ishimtsev; Alexey Bokhovkin; Alexey Artemov; Savva Ignatyev; Matthias Nießner; Denis Zorin; Evgeny Burnaev (ECCV (13), 2020)

Monocular 3D Object Detection via Geometric Reasoning on Keypoints. - Ivan Barabanau; Alexey Artemov; Evgeny Burnaev; Vyacheslav Murashkin (VISIGRAPP (5: VISAPP), 2020)

Latent-space Laplacian Pyramids for Adversarial Representation Learning with 3D Point Clouds. - Vage Egiazarian; Savva Ignatyev; Alexey Artemov; Oleg Voynov; Andrey Kravchenko; Youyi Zheng; Luiz Velho 001; Evgeny Burnaev (VISIGRAPP (4: VISAPP), 2020)

DEF: Deep Estimation of Sharp Geometric Features in 3D Shapes. - Albert Matveev; Alexey Artemov; Ruslan Rakhimov; Gleb Bobrovskikh; Daniele Panozzo; Denis Zorin; Evgeny Burnaev (CoRR, 2020)

3D Parametric Wireframe Extraction Based on Distance Fields. - Albert Matveev; Alexey Artemov; Denis Zorin; Evgeny Burnaev (AIPR, 2021)

Towards Part-Based Understanding of RGB-D Scans. - Alexey Bokhovkin; Vladislav Ishimtsev; Emil Bogomolov; Denis Zorin; Alexey Artemov; Evgeny Burnaev; Angela Dai (CVPR, 2021)

Latent Video Transformer. - Ruslan Rakhimov; Denis Volkhonskiy; Alexey Artemov; Denis Zorin; Evgeny Burnaev (VISIGRAPP (5: VISAPP), 2021)

Making DensePose fast and light. - Ruslan Rakhimov; Emil Bogomolov; Alexandr Notchenko; Fung Mao; Alexey Artemov; Denis Zorin; Evgeny Burnaev (WACV, 2021)

Towards Unpaired Depth Enhancement and Super-Resolution in the Wild. - Aleksandr Safin; Maxim Kan; Nikita Drobyshev; Oleg Voynov; Alexey Artemov; Alexander Filippov; Denis Zorin; Evgeny Burnaev (CoRR, 2021)

Autoencoders with deformable convolutions for latent representation of EEG spectrograms in classification tasks. - Maria Zubrikhina; Dmitrii Masnyi; Rifat Hamoudi; Hamid Alhaj; Bashar Issa; Almira Kustubaeva; Altyngul T. Kamzanova; Manzura Zholdassova; Alexander Bernstein; Evgeny Burnaev; Alexey Artemov; Maxim Sharaev (ICMV, 2022)

Can We Use Neural Regularization to Solve Depth Super-resolution? - Milena Gazdieva; Oleg Voynov; Alexey Artemov; Youyi Zheng; Luiz Velho 001; Evgeny Burnaev (VISIGRAPP (4: VISAPP), 2022)

Scan2Part: Fine-grained and Hierarchical Part-level Understanding of Real-World 3D Scans. - Alexandr Notchenko; Vladislav Ishimtsev; Alexey Artemov; Vadim Selyutin; Emil Bogomolov; Evgeny Burnaev (VISIGRAPP (5: VISAPP), 2022)

DEF: deep estimation of sharp geometric features in 3D shapes. - Albert Matveev; Ruslan Rakhimov; Alexey Artemov; Gleb Bobrovskikh; Vage Egiazarian; Emil Bogomolov; Daniele Panozzo; Denis Zorin; Evgeny Burnaev (ACM Trans. Graph., 2022)

Multi-Sensor Large-Scale Dataset for Multi-View 3D Reconstruction. - Oleg Voynov; Gleb Bobrovskikh; Pavel A. Karpyshev; Saveliy Galochkin; Andrei-Timotei Ardelean; Arseniy Bozhenko; Ekaterina Karmanova; Pavel Kopanev; Yaroslav Labutin-Rymsho; Ruslan Rakhimov; Aleksandr Safin; Valerii Serpiva; et al. (CVPR, 2023)

S4R: Self-Supervised Semantic Scene Reconstruction from RGB-D Scans. - Junwen Huang; Alexey Artemov; Yujin Chen; Shuaifeng Zhi; Kai Xu 004; Matthias Nießner (CoRR, 2023)

PRS: Sharp Feature Priors for Resolution-Free Surface Remeshing. - Natalia Soboleva; Olga Gorbunova; Maria Ivanova; Evgeny Burnaev; Matthias Nießner; Denis Zorin; Alexey Artemov (CoRR, 2023)

MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers. - Yawar Siddiqui; Antonio Alliegro; Alexey Artemov; Tatiana Tommasi; Daniele Sirigatti; Vladislav Rosov; Angela Dai; Matthias Nießner (CVPR, 2024)

AutoInst: Automatic Instance-Based Segmentation of LiDAR 3D Scans. - Cedric Perauer; Laurenz Adrian Heidrich; Haifan Zhang; Matthias Nießner; Anastasiia Kornilova; Alexey Artemov (IROS, 2024)

DeepMIF: Deep Monotonic Implicit Fields for Large-Scale LiDAR 3D Mapping. - Kutay Yilmaz; Matthias Nießner; Anastasiia Kornilova; Alexey Artemov (IROS, 2024)

Unpaired Depth Super-Resolution in the Wild. - Aleksandr Safin; Maxim Kan; Nikita Drobyshev; Oleg Voynov; Alexey Artemov; Alexander Filippov; Denis Zorin; Evgeny Burnaev (IEEE Access, 2024)

SSR-2D: Semantic 3D Scene Reconstruction From 2D Images. - Junwen Huang; Alexey Artemov; Yujin Chen; Shuaifeng Zhi; Kai Xu 004; Matthias Nießner (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

A3D: Does Diffusion Dream about 3D Alignment? - Savva Victorovich Ignatyev; Nina Konovalova; Daniil Selikhanovych; Oleg Voynov; Nikolay Patakin; Ilya Olkov; Dmitry Senushkin; Alexey Artemov; Anton Konushin; Alexander Filippov; Peter Wonka; Evgeny Burnaev (ICLR, 2025)