Get started
Author

Максим Сорокин

Observed names: M. I. SOROKIN, M. I. Sorokin, M.I. SOROKIN, Maksim Igorevich Sorokin, Maksim Sorokin, Maxim Igorevich Sorokin, М. И. Сорокин
Institution: ITMO University
ORCID: 0000-0001-9093-1690
Observed ORCID: 0000-0001-9093-1690
OpenAlex ID: A5087388196
Conversion of Point Cloud Data to 3D Models Using PointNet++ and Transformer
2024 · M. I. Sorokin, D. D. Zhdanov, et al. · Programming and Computer Software · 10
3D Scene Reconstruction and Digitization Method for Mixed Reality Systems
2023 · M. I. Sorokin, D. D. Zhdanov, et al. · Programming and Computer Software · 3
The virtual prototyping of complex optical systems on multiprocessor workstations
2021 · Andrey Zhdanov, Dmitry D. Zhdanov, et al. · Computational Optics · 3
Treating diffuse elements as quasi-specular to reduce noise in bi-directional ray tracing
2018 · Sergey Valentinovich Ershov, Dmitry Dmitrievich Zhdanov, et al. · Keldysh Institute Preprints · 3
PDF
Deep learning in tasks of interior objects recognition and 3D reconstruction
2022 · Maksim Sorokin, Dmitry Zhdanov, et al. · Optoelectronic Imaging and Multimedia Technology · 2
Method of Geometry Reconstruction from a Set of RGB Images Using Differentiable Rendering and Visual Hull
2025 · A. I. Lysykh, D. D. Zhdanov, et al. · Programming and Computer Software · 1
Design and virtual prototyping of a compact augmented reality system with 2D diffraction grating
2024 · Dmitry Zhdanov, Vadim Sokolov, et al. · Optoelectronic Imaging and Multimedia Technology · 1
Using a Visual Shell for Geometry Reconstruction From a Set of Rgb Images Via Differentiable Rendering
2024 · A.I. LYSYKH, D.D. ZHDANOV, et al. · International Conference on Computer Graphics and Vision (GraphiCon) · 1
Deep Learning-based Polygonal Mesh Reconstruction from Point Clouds for Mixed Reality Visualization
2023 · Maxim Igorevich Sorokin, Dmitri Dmitrievich Zhdanov, et al. · International Conference on Computer Graphics and Vision (GraphiCon) · 1
PDF
Virtual prototyping of complex optical systems on multiprocessor workstations
2022 · Andrey Zhdanov, Dmitry Zhdanov, et al. · Optical Engineering · 1
PDF
Recovery of optical parameters of a scene using fully-convolutional neural networks.
2018 · Максим Сорокин, Dmitry Zhdanov, et al. · MICSECS · 1
Conversion of Point Cloud Data to 3D Models Using PointNet++ and Transformer
2024 · M. I. Sorokin, D. D. Zhdanov, et al. · Программирование
PDF
Leveraging zero-shot models for enhanced mixed reality systems
2024 · Maksim Sorokin, Dmitry Zhdanov, et al. · Optoelectronic Imaging and Multimedia Technology
Joint layout, object pose, and mesh reconstruction method from scanned point clouds with restoration of missing points
2023 · Maksim Sorokin, Dmitry Zhdanov, et al. · Optoelectronic Imaging and Multimedia Technology
3d Scene Reconstruction and Digitization Method for Mixed Reality Systems
2023 · M. I. SOROKIN, D. D. ZHDANOV, et al. · Программирование
PDF
Method for Constructing a Digital Analogue of a Real World Environment Using Neural Networks
2022 · Maxim Igorevich Sorokin, Dmitri Dmitrievich Zhdanov, et al. · International Conference on Computer Graphics and Vision (GraphiCon)
Restoration of light parameters and forming criteria for the quality estimation of visual perception in mixed reality systems using neural networks
2021 · Maksim Sorokin, Vladimir Antonov, et al. · Optical Instrument Science, Technology, and Applications
Building a mixed reality system free from visual discomfort
2021 · Iuliia Golovchanskaia, Aleksandr Anikeev, et al. · Optical Instrument Science, Technology, and Applications
Reconstruction Lighting Positions of a Scene for Mixed Reality Systems Using Convolutional Neural Network and Shadow Ray Tracing
2021 · Maxim Igorevich Sorokin, Dmitry Dmitrievich Zhdanov, et al. · Keldysh Institute Preprints
PDF
A method for evaluating the correctness of the illumination of virtual objects in mixed reality systems
2021 · Vladimir Sergeevich Antonov, Maxim Igorevich Sorokin, et al. · International Conference on Computer Graphics and Vision (GraphiCon)
PDF
Segmentation of Illuminated Areas of Light Using CNN and Large-Scale RGB+D Dataset for Augmented and Mixed Reality Systems
2020 · Maksim Sorokin, Dmitriy Zhdanov, et al. · Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 2
PDF
Восстановление Параметров Освещения В Системах Смешанной Реальности С Помощью Технологии Сверточных Нейронных Сетей По Rgbd-изображениям
2020 · М. И. Сорокин, Д. Д. Жданов, et al. · Программирование
Segmentation of illuminated areas of scene using fully-convolutional neural networks and computer vision algorithms for augmented reality systems
2019 · Максим Сорокин, Дмитрий Жданов, et al. · International Conference on Computer Graphics and Vision (GraphiCon)
PDF
The efficient method of illumination restoration in mixed reality systems with use of HDR image of 3D scene
2019 · Николай Богданов, Nikolay Bogdanov, et al. · International Conference on Computer Graphics and Vision (GraphiCon)
PDF
Сегментация освещенных участков сцены с использованием полносверточных нейронных сетей и алгоритмов компьютерного зрения для систем дополненной реальности
2019 · Максим Сорокин, Дмитрий Жданов, et al.
Works count: 25
Citation count: 27
H-index: 3
I10-index: 1
Year
Topic
Type