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ORCIDDmitrii G. Shadrin
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2020 – today
- 2025
[j16]Yuliya D. Vybornova, Maxim Aleshin, Svetlana Illarionova, Ilya Novikov, Dmitrii Shadrin, Artem V. Nikonorov, Evgeny Burnaev:
Self-Supervised Learning for Temporal Action Segmentation in Industrial and Manufacturing Videos. IEEE Access 13: 39650-39665 (2025)- 2023
- [j15]Islombek Mirpulatov
, Svetlana Illarionova, Dmitrii Shadrin, Evgeny Burnaev:
Pseudo-Labeling Approach for Land Cover Classification Through Remote Sensing Observations With Noisy Labels. IEEE Access 11: 82570-82583 (2023) - [j14]Nikita Stasenko, Islomjon Shukhratov, Maxim Savinov, Dmitrii Shadrin, Andrey Somov:
Deep Learning in Precision Agriculture: Artificially Generated VNIR Images Segmentation for Early Postharvest Decay Prediction in Apples. Entropy 25(7): 987 (2023) - [j13]Svetlana Illarionova, Dmitrii Shadrin, Islomjon Shukhratov, Ksenia Evteeva, Georgii Popandopulo, Nazar Sotiriadi, Ivan V. Oseledets, Evgeny Burnaev:
Benchmark for Building Segmentation on Up-Scaled Sentinel-2 Imagery. Remote. Sens. 15(9): 2347 (2023) - [j12]Georgii Popandopulo, Svetlana Illarionova, Dmitrii Shadrin, Ksenia Evteeva, Nazar Sotiriadi, Evgeny Burnaev:
Flood Extent and Volume Estimation Using Remote Sensing Data. Remote. Sens. 15(18): 4463 (2023) - [j11]Nikita Stasenko, Dmitrii Shadrin, Alexandr Katrutsa, Andrey Somov:
Dynamic Mode Decomposition and Deep Learning for Postharvest Decay Prediction in Apples. IEEE Trans. Instrum. Meas. 72: 1-11 (2023) - [c11]Liubov Dolgaia, Svetlana Illarionova, Sergey Nesteruk, Ivan Krivolapov, Anna Baldycheva, Andrey Somov, Dmitrii Shadrin:
Apple Tree Health Recognition Through the Application of Transfer Learning for UAV Imagery. ETFA 2023: 1-8 - 2022
- [j10]Sergey Nesteruk, Svetlana Illarionova, Timur Akhtyamov, Dmitrii Shadrin, Andrey Somov, Mariia Pukalchik, Ivan V. Oseledets:
XtremeAugment: Getting More From Your Data Through Combination of Image Collection and Image Augmentation. IEEE Access 10: 24010-24028 (2022) - [j9]Svetlana Illarionova, Dmitrii Shadrin, Vladimir Ignatiev, Sergey Shayakhmetov, Alexey Trekin, Ivan V. Oseledets:
Estimation of the Canopy Height Model From Multispectral Satellite Imagery With Convolutional Neural Networks. IEEE Access 10: 34116-34132 (2022) - [j8]Anastasia Uryasheva, Aleksandra Kalashnikova, Dmitrii Shadrin, Ksenia Evteeva, Evgeny Moskovtsev, Nikita Rodichenko:
Computer vision-based platform for apple leaves segmentation in field conditions to support digital phenotyping. Comput. Electron. Agric. 201: 107269 (2022) - [j7]Svetlana Illarionova, Dmitrii Shadrin, Vladimir Ignatiev, Sergey Shayakhmetov, Alexey Trekin, Ivan V. Oseledets:
Augmentation-Based Methodology for Enhancement of Trees Map Detalization on a Large Scale. Remote. Sens. 14(9): 2281 (2022) - [j6]Svetlana Illarionova, Dmitrii Shadrin, Polina Tregubova, Vladimir Ignatiev, Albert Efimov, Ivan V. Oseledets, Evgeny Burnaev:
A Survey of Computer Vision Techniques for Forest Characterization and Carbon Monitoring Tasks. Remote. Sens. 14(22): 5861 (2022) - 2021
- [j5]Svetlana Illarionova, Sergey Nesteruk, Dmitrii Shadrin, Vladimir Ignatiev, Maria Pukalchik, Ivan V. Oseledets:
MixChannel: Advanced Augmentation for Multispectral Satellite Images. Remote. Sens. 13(11): 2181 (2021) - [j4]Svetlana Illarionova, Dmitrii Shadrin, Alexey Trekin, Vladimir Ignatiev, Ivan V. Oseledets:
Generation of the NIR Spectral Band for Satellite Images with Convolutional Neural Networks. Sensors 21(16): 5646 (2021) - [j3]Alexander Menshchikov, Dmitrii Shadrin, Viktor Prutyanov, Daniil Lopatkin, Sergey Sosnin, Evgeny V. Tsykunov, Evgeny Iakovlev, Andrey Somov:
Real-Time Detection of Hogweed: UAV Platform Empowered by Deep Learning. IEEE Trans. Computers 70(8): 1175-1188 (2021) - [c10]Nikita Stasenko, Elizaveta Chernova, Dmitrii Shadrin, Grigory V. Ovchinnikov, Ivan Krivolapov, Mariia Pukalchik:
Deep Learning for improving the storage process: Accurate and automatic segmentation of spoiled areas on apples. I2MTC 2021: 1-6 - [c9]Dmitrii Vypirailenko, Elizaveta Kiseleva, Dmitrii Shadrin, Mariia Pukalchik:
Deep learning techniques for enhancement of weeds growth classification. I2MTC 2021: 1-6 - [c8]Svetlana Illarionova, Sergey Nesteruk, Dmitrii Shadrin, Vladimir Ignatiev, Mariia Pukalchik, Ivan V. Oseledets:
Object-Based Augmentation for Building Semantic Segmentation: Ventura and Santa Rosa Case Study. ICCVW 2021: 1659-1668 - [c7]Galina Burdukovskaya, Grigory V. Ovchinnikov, Maxim V. Fedorov, Dmitrii Shadrin:
Improving of Action Localization in Videos Using the Novel Feature Extraction. ISIE 2021: 1-6 - [c6]Denis Logashov, Dmitrii Shadrin, Andrey Somov, Mariia Pukalchik, Anastasia Uryasheva, Hari Prabhat Gupta, Nikita Rodichenko:
Apple Trees Diseases Detection Through Computer Vision in Embedded Systems. ISIE 2021: 1-6 - [i4]Sergey Nesteruk, Dmitrii Shadrin, Mariia Pukalchik:
Image Augmentation for Multitask Few-Shot Learning: Agricultural Domain Use-Case. CoRR abs/2102.12295 (2021) - [i3]Svetlana Illarionova, Sergey Nesteruk, Dmitrii Shadrin, Vladimir Ignatiev, Mariia Pukalchik, Ivan V. Oseledets:
Object-Based Augmentation Improves Quality of Remote SensingSemantic Segmentation. CoRR abs/2105.05516 (2021) - [i2]Svetlana Illarionova, Dmitrii Shadrin, Alexey Trekin, Vladimir Ignatiev, Ivan V. Oseledets:
Generation of the NIR spectral Band for Satellite Images with Convolutional Neural Networks. CoRR abs/2106.07020 (2021) - 2020
- [j2]Dmitrii G. Shadrin, Alexander Menshchikov, Andrey Somov, Gerhild Bornemann, Jens Hauslage, Maxim V. Fedorov:
Enabling Precision Agriculture Through Embedded Sensing With Artificial Intelligence. IEEE Trans. Instrum. Meas. 69(7): 4103-4113 (2020) - [c5]Dmitrii Shadrin, Tatiana Podladchikova, Grigory V. Ovchinnikov, Artem L. Pavlov, Mariia Pukalchik, Andrey Somov:
Kalman Filtering for Accurate and Fast Plant Growth Dynamics Assessment. I2MTC 2020: 1-6 - [c4]Sergey Nesteruk, Dmitrii Shadrin, Vladislav Kovalenko, Antonio Jose Rodríguez-Sánchez, Andrey Somov:
Plant Growth Prediction through Intelligent Embedded Sensing. ISIE 2020: 411-416 - [i1]Dmitrii Shadrin, Mariia Pukalchik, Anastasia Uryasheva, Evgeny V. Tsykunov, Grigoriy A. Yashin, Nikita Rodichenko, Dzmitry Tsetserukou:
Hyper-spectral NIR and MIR data and optimal wavebands for detecting of apple tree diseases. CoRR abs/2004.02325 (2020)
2010 – 2019
- 2019
- [c3]Dmitrii G. Shadrin, Artem V. Chashchin, Grigory V. Ovchinnikov, Andrey Somov:
System Identification - Soilless Growth of Tomatoes. I2MTC 2019: 1-6 - 2018
- [j1]Andrey Somov, Dmitrii G. Shadrin, Ilia Fastovets, Artyom Nikitin, Sergey A. Matveev, Ivan V. Oseledets, Oleksii Hrinchuk:
Pervasive Agriculture: IoT-Enabled Greenhouse for Plant Growth Control. IEEE Pervasive Comput. 17(4): 65-75 (2018) - [c2]Dmitrii G. Shadrin, Victor Kulikov, Maxim V. Fedorov:
Instance segmentation for assessment of plant growth dynamics in artificial soilless conditions. BMVC 2018: 329 - [c1]Dmitrii G. Shadrin, Andrey Somov, Tatiana Podladchikova, Rupert Gerzer:
Pervasive agriculture: Measuring and predicting plant growth using statistics and 2D/3D imaging. I2MTC 2018: 1-6
Coauthor Index
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