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12 Aug 2020
SYNTHETIC VISION SYSTEM CALIBRATION FOR CONFORM PROJECTION ON THE PILOT’S HEAD-UP DISPLAY
S. Danilov, M. Kozyrev, M. Grechanichenko, L. Grodzitskiy, V. Mizginov, and V. V. Kniaz
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Aerial Images Segmentation with Graph Neural Network
Anton V. Emelyanov, Vladimir A. Knyaz, Vladimir V. Kniaz, and Sergey Yu. Zheltov
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-2-W1-2024, 1–8, https://doi.org/10.5194/isprs-annals-X-2-W1-2024-1-2024,https://doi.org/10.5194/isprs-annals-X-2-W1-2024-1-2024, 2024
Pixels relationship analysis for extracting building footprints
Anton Emelyanov, Vladimir Knyaz, Vladimir Kniaz, and Dana Artist
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-3-2024, 141–146, https://doi.org/10.5194/isprs-archives-XLVIII-3-2024-141-2024,https://doi.org/10.5194/isprs-archives-XLVIII-3-2024-141-2024, 2024
DOUBLE NERF: REPRESENTING DYNAMIC SCENES AS NEURAL RADIANCE FIELDS
V. V. Kniaz, V. A. Knyaz, A. Bordodymov, P. Moshkantsev, D. Novikov, and S. Barylnik
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W3-2023, 115–120, https://doi.org/10.5194/isprs-archives-XLVIII-2-W3-2023-115-2023,https://doi.org/10.5194/isprs-archives-XLVIII-2-W3-2023-115-2023, 2023
FLOW EVOLUTION MONITORING FOR AIRCRAFT ICING STUDY
V. A. Knyaz, V. V. Kniaz, E. V. Ippolitov, M. M. Novikov, and S. Y. Zheltov
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W3-2023, 129–135, https://doi.org/10.5194/isprs-archives-XLVIII-2-W3-2023-129-2023,https://doi.org/10.5194/isprs-archives-XLVIII-2-W3-2023-129-2023, 2023
IMAGE ORIENTATION BY EMBEDDING IN A GAN LATENT SPACE
V. V. Kniaz, V. A. Knyaz, V. Mizginov, A. Bordodymov, P. Moshkantsev, S. Barylnik, and D. Novikov
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W2-2022, 149–155, https://doi.org/10.5194/isprs-archives-XLVIII-2-W2-2022-149-2022,https://doi.org/10.5194/isprs-archives-XLVIII-2-W2-2022-149-2022, 2022
DEEP LEARNING FOR CODED TARGET DETECTION
V. V. Kniaz, L. Grodzitskiy, and V. A. Knyaz
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIV-2-W1-2021, 125–130, https://doi.org/10.5194/isprs-archives-XLIV-2-W1-2021-125-2021,https://doi.org/10.5194/isprs-archives-XLIV-2-W1-2021-125-2021, 2021
WIRE STRUCTURE IMAGE-BASED 3D RECONSTRUCTION AIDED BY DEEP LEARNING
V. V. Kniaz, S. Y. Zheltov, F. Remondino, V. A. Knyaz, A. Bordodymov, and A. Gruen
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 435–441, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-435-2020,https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-435-2020, 2020
MACHINE LEARNING FOR APPROXIMATING UNKNOWN FACE
V. A. Knyaz, V. V. Kniaz, M. M. Novikov, and R. M. Galeev
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 857–862, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-857-2020,https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-857-2020, 2020
DEEP LEARNING FOR LOWTEXTURED IMAGE MATCHING
V. V. Kniaz, V. V. Fedorenko, and N. A. Fomin
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 513–518, https://doi.org/10.5194/isprs-archives-XLII-2-513-2018,https://doi.org/10.5194/isprs-archives-XLII-2-513-2018, 2018