Kuznetsov, Andrey V.

2024

• 1 Kuznetsov A.V., Markina E.A. Development and Research of Methods for Detecting Distorted Data Using a Multimodal Approach // 2024 10th International Conference on Information Technology and Nanotechnology, ITNT 2024. — 2024. —
• 2 Razzhigaev A., Mikhalchuk M., Goncharova E. etc. The Shape of Learning: Anisotropy and Intrinsic Dimensions in Transformer-Based Models // EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Findings of EACL 2024. — 2024. — P. 868-874

2023

• 1 Bakshandaeva D.D., Dimitrov D.V., Arkhipkin V.S. etc. Many heads but one brain: FusionBrain – a single multimodal multitask architecture and a competition // Computer Optics 2023. — Vol. 47. Issue 1. № 1. — P. 185-195
• 2 Agafonova Y.D., Gaidel A.V., Zelter P.M. etc. Joint analysis of radiological reports and CT images for automatic validation of pathological brain conditions // Computer Optics 2023. — Vol. 47. Issue 1. № 1. — P. 152-159

2022

• 1 Gashnikov M.V., Kuznetsov A.V. Detection of artificial fragments embedded in remote sensing images by adversarial neural networks // Computer Optics 2022. — Vol. 46. Issue 4. № 4. — P. 643-649
• 2 Gashnikov M.V., Kuznetsov A.V. Detection of Fake Remote-Sensing Data // Optical Memory and Neural Networks (Information Optics) 2022. — Vol. 31. Issue 1. — P. 16-21

2021

• 1 Kuznetsov A. A New DELF-based Car Recognition Algorithm for Automatic Gate Access CCTV Systems // Proceedings - 2021 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2021. — 2021. — P. 496-499
• 2 Kuznetsov A., Gashnikov M. Increasing the Size of the Camouflage Area for Remote Sensing Images // Proceedings - 2021 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2021. — 2021. — P. 312-315
• 3 Belko A.V., Dobratulin K.S., Kuznetsov A.V. Classification of plumage images for identifying bird species // Computer Optics 2021. — Vol. 45. Issue 5. — P. 749-755
• 4 Belko A. V. , Dobratulin K., Kunznetsov A. Two-Stage Classification Model for Feather Images Identification // Lecture Notes in Computer Science. — 2021. — Vol. 12665 LNCS. — P. 172-181
• 5 Kondratev V. A. , Kuznetsov A. An algorithm for intrusion detection into the control system of an unmanned vehicle // Proceedings of ITNT 2021 - 7th IEEE International Conference on Information Technology and Nanotechnology. — 2021. —
• 6 Kuznetsov A. A new deep fake method based on background removal // Proceedings of ITNT 2021 - 7th IEEE International Conference on Information Technology and Nanotechnology. — 2021. —
• 7 Kuznetsov A., Gashnikov M. Investigation of the Influence of the Retouched Region Size on the RS-Images Quality // Proceedings of ITNT 2021 - 7th IEEE International Conference on Information Technology and Nanotechnology. — 2021. —

2020

• 1 Belko A. V. , Dobratulin K., Kuznetsov A. Feathers dataset for fine-grained visual categorization // Proceedings of SPIE - The International Society for Optical Engineering. — 2020. — Vol. 11605.
• 2 Kuznetsov A. Face recognition using DELF feature descriptors on RGB-D data // Communications in Computer and Information Science. — 2020. — Vol. 1086CCIS. — P. 237-243
• 3 Kuznetsov A.V., Gashnikov M.V. Remote sensing data retouching based on image inpainting algorithms in the forgery generation problem // Computer Optics 2020. — Vol. 44. Issue 5. — P. 763-771
• 4 Kuznetsov A. On deep learning approach in remote sensing data forgery detection // Proceedings of ITNT 2020 - 6th IEEE International Conference on Information Technology and Nanotechnology. — 2020. —
• 5 Kuznetsov A., Gashnikov M. Remote Sensing Image Inpainting with Generative Adversarial Networks // 8th International Symposium on Digital Forensics and Security, ISDFS 2020. — 2020. —
• 6 Gashnikov M.V., Kuznetsov A.V. Use of Generative Adversarial Networks to Altering Remote Sensing Data // Optical Memory and Neural Networks (Information Optics) 2020. — Vol. 29. Issue 3. — P. 220-227
• 7 Kuznetsov A., Lanin A.A. Splicing detection based on improved FISH descriptors // CEUR Workshop Proceedings. — 2020. — Vol. 2665. — P. 81-84
• 8 Kuznetsov A. Digital video forgery detection based on statistical features calculation // Proceedings of SPIE - The International Society for Optical Engineering. — 2020. — Vol. 11433.

2019

• 1 Kuznetsov A. Digital image forgery detection using deep learning approach // Journal of Physics: Conference Series. — 2019. — Vol. 1368. Issue 3.
• 2 Kuznetsov A. A New Approach to JPEG Tampering Detection Using Convolutional Neural Networks // SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. — 2019. — P. 520-524
• 3 Samsonov R.O., Kuznecov A.V., Voronina M.A. etc. Применение нейронной сети для оптимизации проектирования структурной деятельности научно-образовательного центра мирового уровня // Известия Самарского научного центра Российской академии наук 2019. — Vol. 21. № 4 . — P. 5-15
• 4 Kuznetsov A., Savchenko A. Sport teams logo detection based on deep local features // SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. — 2019. — P. 548-552
• 5 Kuznetsov A. Person reidentification on video surveillance data // Proceedings of SPIE - The International Society for Optical Engineering. — 2019. — Vol. 11041.

2018

• 1 Egorova A. A. , Kuznetsov A.V. CFA artifacts analysis for image splicing detection // CEUR Workshop Proceedings. — 2018. — Vol. 2210. — P. 207-218
• 2 Denisova A.Y., Kuznetsov A.V., Glumov N.I. The technology of agricultural fields remote sensing image segmentation using morphological profiles // Journal of Physics: Conference Series. — 2018. — Vol. 1096. Issue 1.
• 3 Kuznetsov A., Myasnikov V. Satellite image forgery detection based on buildings shadows analysis // Lecture Notes in Computer Science. — 2018. — Vol. 10716 LNCS. — P. 231-236
• 4 Kuznetsov A. Copy-move detection based on different forms of local binary patterns // Lecture Notes in Computer Science. — 2018. — Vol. 11179 LNCS. — P. 180-190
• 5 Kuznetsov A. Camera sensor traces analysis in image forgery detection problem // Lecture Notes in Computer Science. — 2018. — Vol. 11114 LNCS. — P. 453-463
• 6 Kuznetsov A.V., Myasnikov V.V. New scheme for fast copy-move detection // Journal of Physics: Conference Series. — 2018. — Vol. 1096. Issue 1.

2017

• 1 Denisova A., Kuznetzov A., Glumov N. Multichannel image segmentation algorithm for agricultural crop detection // CEUR Workshop Proceedings. — 2017. — Vol. 1975. — P. 209-216
• 2 Egorova A. A. , Kuznetsov A.V. Image splicing localization based on cfa-artifacts analysis // Computer Optics 2017. — Vol. 41. Issue 6. — P. 920-930
• 3 Egorova A.A., Kuznetsov A.V. Обнаружение встраиваний на изображениях путем анализа артефактов, обусловленных параметрами сенсора регистрирующего устройства // Computer Optics 2017. — Vol. 41. № 6. — P. 920-930
• 4 Evdokimova N. I. , Kuznetsov A.V. Local patterns in the copy-move detection problem solution // Computer Optics 2017. — Vol. 41. Issue 1. — P. 79-87
• 5 Kuznetsov A., Myasnikov V. Using efficient linear local features in the copy-move forgery detection task // Communications in Computer and Information Science. — 2017. — Vol. 661. — P. 305-313
• 6 Kuznetsov A., Myasnikov V. A new copy-move forgery detection algorithm using image preprocessing procedure // Procedia Engineering. — 2017. — Vol. 201. — P. 436-444
• 7 Kuznetsov A. A copy-move detection algorithm based on geometric local binary pattern // Communications in Computer and Information Science. — 2017. — Vol. 766. — P. 73-83

2016

• 1 Kuznetsov A., Myasnikov E. Copy-move detection algorithm efficiency increase using binary space partitioning trees // CEUR Workshop Proceedings. — 2016. — Vol. 1638. — P. 373-378
• 2 Kuznetsov A. Remote sensing data copy-move forgery protection algorithm // Lecture Notes in Computer Science. — 2016. — Vol. 9972 LNCS. — P. 544-552
• 3 Kuznetsov A.V., Myasnikov V.V. Using Efficient Linear Local Features in the Copy-move Forgery Detection Task // The 5th International Conference on Analysis of Images, Social networks, and Texts (AIST-2016). — 2016. — P. 293-302
• 4 Kuznetsov A.V., Myasnikov V.V. A copy-move detection algorithm based on binary gradient contours // Computer Optics 2016. — Vol. 40. Issue 2. — P. 284-293
• 5 Kuznetsov A.V., Myasnikov V.V. New algorithms for verifying the consistency between satellite images and survey conditions // Pattern Recognition and Image Analysis 2016. — Vol. 26. Issue 3. — P. 593-596
• 6 Evdokimova N. I. , Kuznetsov A.V. Copy-move detection algorithm based on local derivative patterns // CEUR Workshop Proceedings. — 2016. — Vol. 1638. — P. 304-312
• 7 Gashnikov M.V., Glumov N.I., Kuznetsov A.V. etc. Hyperspectral remote sensing data compression and protection // Computer Optics 2016. — Vol. 40. Issue 5. — P. 689-712
• 8 Kuznetsov A., Myasnikov V. A copy-move detection algorithm using binary gradient contours // Lecture Notes in Computer Science. — 2016. — Vol. 9730. — P. 349-357

2015

• 1 Vorobiova N.S., Denisova A.Y., Kuznetsov A.V. etc. How to use geoinformation technologies and space monitoring for controlling the agricultural sector in Samara region // Pattern Recognition and Image Analysis 2015. — Vol. 25. Issue 2. — P. 347-353
• 2 Glumov N.I., Kuznetsov A.V., Myasnikov V.V. Algorithms for detection of plain copy-move regions in digital images // Pattern Recognition and Image Analysis 2015. — Vol. 25. Issue 3. — P. 423-429
• 3 Kuznetsov A.V., Myasnikov V.V. Sequential computational procedure for remote sensing data forgery detection // Pattern Recognition and Image Analysis 2015. — Vol. 25. Issue 4. — P. 645-653
• 4 Kuznetsov A., Myasnikov V. Remote sensing data verification using model-oriented descriptors // Communications in Computer and Information Science. — 2015. — Vol. 542. — P. 96-101
• 5 Boori M.S., Kuznetsov A.V., Choudhary K.K. etc. Satellite image analysis to evaluate the urban growth and land use changes in the city of Samara from 1975 to 2015 // Computer Optics 2015. — Vol. 39. Issue 5. — P. 818-822
• 6 Kuznetsov A., Myasnikov V. New algorithms for satellite data verification with and without the use of the imaged area vector data // 23rd International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2015 - Short Papers Proceedings. — 2015. — P. 1-7
• 7 Kuznetsov A., Myasnikov V. An evaluation of popular hyperspectral images classification approaches // Proceedings of SPIE - The International Society for Optical Engineering. — 2015. — Vol. 9875.

2014

• 1 Kuznetsov A.V., Myasnikov V.V. A comparison of algorithms for supervised classification using hyperspectral data // Computer Optics 2014. — Vol. 38. Issue 3. — P. 494-502
• 2 Kuznetsov A.V., Myasnikov V.V. Algorithms for verification of space images by shooting options // Computer Optics 2014. — Vol. 38. Issue 2. — P. 322-329
• 3 Kuznetsov A.V., Myasnikov V.V. A fast plain copy-move detection algorithm based on structural pattern and 2D rabin-karp rolling hash // Lecture Notes in Computer Science. — 2014. — Vol. 8814. — P. 461-468

2013

• 1 Belov A.M., Vorobeva N.S., Denisova A. Yu. etc. Application of GIS technologies and space monitoring in management of Samara region agro-industrial complex // 11th International Conference on Pattern Recognition and Image Analysis: New Information Technologies (PRIA-11-2013). — 2013. — P. 521-524
• 2 Glumov N.I., Kuznetsov A.V., Myasnikov V.V. The algorithm for copy-move detection on digital images // Computer Optics 2013. — Vol. 37. Issue 3. — P. 360-367
• 3 Kuznetsov A.V., Myasnikov V.V. Efficient linear local features based copy-move detection algorithm // Computer Optics 2013. — Vol. 37. Issue 4. — P. 489-495
• 4 Kuznetsov A.V., Myasnikov V.V. Copy-move image forensics detection // Computer Optics 2013. — Vol. 37. Issue 2. — P. 244-253

2012

• 1 Glumov N.I., Kuznetsov A.V. Analysis of images for local artificial changes with JPEG compression properties // Pattern Recognition and Image Analysis 2012. — Vol. 22. Issue 1. — P. 210-214

2011

• 1 Glumov N.I., Kuznetsov A.V. Detection of local artificial changes in images // Optoelectronics, Instrumentation and Data Processing 2011. — Vol. 47. Issue 3. — P. 207-214
• 2 Glumov N.I., Kuznetsov A.V. Copy-move image forensics detection // Computer Optics 2011. — Vol. 35. Issue 4. — P. 508-512
• 3 Glumov N.I., Kuznetsov A.V. Analysis of images for local artificial changes with JPEG compression properties // Pattern Recognition and Image Analysis 2011. — Vol. 21. Issue 2. — P. 251-253

2010

• 1 Glumov N.I., Kuznetsov A.V. Local artificial image's changes detection // Proceedings of the IASTED International Conference on Automation, Control, and Information Technology - Information and Communication Technology, ACIT-ICT 2010. — 2010. — P. 40-45