Object-Based Augmentation for Building Semantic Segmentation: Ventura and Santa Rosa Case Study. - Svetlana Illarionova; Sergey Nesteruk; Dmitrii Shadrin; Vladimir Ignatiev; Mariia Pukalchik; Ivan V. Oseledets (ICCVW, 2021)

Object-Based Augmentation Improves Quality of Remote SensingSemantic Segmentation. - Svetlana Illarionova; Sergey Nesteruk; Dmitrii Shadrin; Vladimir Ignatiev; Mariia Pukalchik; Ivan V. Oseledets (CoRR, 2021)

MixChannel: Advanced Augmentation for Multispectral Satellite Images. - Svetlana Illarionova; Sergey Nesteruk; Dmitrii Shadrin; Vladimir Ignatiev; Maria Pukalchik; Ivan V. Oseledets (Remote. Sens., 2021)

Generation of the NIR Spectral Band for Satellite Images with Convolutional Neural Networks. - Svetlana Illarionova; Dmitrii Shadrin; Alexey Trekin; Vladimir Ignatiev; Ivan V. Oseledets (Sensors, 2021)

Neural-Based Hierarchical Approach for Detailed Dominant Forest Species Classification by Multispectral Satellite Imagery. - Svetlana Illarionova; Alexey Trekin; Vladimir Ignatiev; Ivan V. Oseledets (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Estimation of the Canopy Height Model From Multispectral Satellite Imagery With Convolutional Neural Networks. - Svetlana Illarionova; Dmitrii Shadrin; Vladimir Ignatiev; Sergey Shayakhmetov; Alexey Trekin; Ivan V. Oseledets (IEEE Access, 2022)

XtremeAugment: Getting More From Your Data Through Combination of Image Collection and Image Augmentation. - Sergey Nesteruk; Svetlana Illarionova; Timur Akhtyamov; Dmitrii Shadrin; Andrey Somov; Mariia Pukalchik; Ivan V. Oseledets (IEEE Access, 2022)

Augmentation-Based Methodology for Enhancement of Trees Map Detalization on a Large Scale. - Svetlana Illarionova; Dmitrii Shadrin; Vladimir Ignatiev; Sergey Shayakhmetov; Alexey Trekin; Ivan V. Oseledets (Remote. Sens., 2022)

A Survey of Computer Vision Techniques for Forest Characterization and Carbon Monitoring Tasks. - Svetlana Illarionova; Dmitrii Shadrin; Polina Tregubova; Vladimir Ignatiev; Albert Efimov; Ivan V. Oseledets; Evgeny Burnaev (Remote. Sens., 2022)

Apple Tree Health Recognition Through the Application of Transfer Learning for UAV Imagery. - Liubov Dolgaia; Svetlana Illarionova; Sergey Nesteruk; Ivan Krivolapov; Anna Baldycheva; Andrey Somov; Dmitrii Shadrin (ETFA, 2023)

Pseudo-Labeling Approach for Land Cover Classification Through Remote Sensing Observations With Noisy Labels. - Islombek Mirpulatov; Svetlana Illarionova; Dmitrii Shadrin; Evgeny Burnaev (IEEE Access, 2023)

PseudoAugment: Enabling Smart Checkout Adoption for New Classes Without Human Annotation. - Sergey Nesteruk; Svetlana Illarionova; Ilya Zherebzov; Claire Traweek; Nadezhda Mikhailova; Andrey Somov; Ivan V. Oseledets (IEEE Access, 2023)

Enabling Multi-Part Plant Segmentation with Instance-Level Augmentation Using Weak Annotations. - Semen Mukhamadiev; Sergey Nesteruk; Svetlana Illarionova; Andrey Somov (Inf., 2023)

Benchmark for Building Segmentation on Up-Scaled Sentinel-2 Imagery. - Svetlana Illarionova; Dmitrii Shadrin; Islomjon Shukhratov; Ksenia Evteeva; Georgii Popandopulo; Nazar Sotiriadi; Ivan V. Oseledets; Evgeny Burnaev (Remote. Sens., 2023)

Flood Extent and Volume Estimation Using Remote Sensing Data. - Georgii Popandopulo; Svetlana Illarionova; Dmitrii Shadrin; Ksenia Evteeva; Nazar Sotiriadi; Evgeny Burnaev (Remote. Sens., 2023)

Multitask Learning for Estimating Primary Forest Characteristics Using Sentinel-2 Data. - Elisey Plotnikov; Konstantin Rudkevich; Svetlana Illarionova; Polina Tregubova; Dmitrii Shadrin; Evgeny Burnaev (I2MTC, 2025)

Deep Spectral-Spatial Transformer for Robust Hyperspectral Image Segmentation in Varying Field Conditions. - Andrey Makarov; Islombek Mirpulatov; Nikita Firsov; Valeriy Lobanov; Svetlana Illarionova; Vladimir Podlipnov; Yuliya D. Vybornova; Dmitrii Shadrin; Andrey Rastorguev; Roman V. Skidanov; Evgeny Burnaev; Artem V. Nikonorov (IEEE Access, 2025)

Self-Supervised Learning for Temporal Action Segmentation in Industrial and Manufacturing Videos. - Yuliya D. Vybornova; Maxim Aleshin; Svetlana Illarionova; Ilya Novikov; Dmitrii Shadrin; Artem V. Nikonorov; Evgeny Burnaev (IEEE Access, 2025)

A hierarchical algorithm with randomized learning for robust tissue segmentation and classification in digital pathology. - Svetlana Illarionova; Rifat A. Hamoudi; M. Zapevalina; I. Fedin; Nadezhda Alsahanova; Alexander Bernstein; Evgeny Burnaev; V. Alferova; Ekaterina Khrameeva; D. Shadrin; I. Talaat; Ahmed Bouridane; et al. (Inf. Sci., 2025)