DEEP LEARNING FOR CODED TARGET DETECTION

Kniaz, V. V.; Grodzitskiy, L.; Knyaz, V. A.

doi:https://doi.org/10.5194/isprs-archives-XLIV-2-W1-2021-125-2021

Hierarchical Scene Graph Generation and Vectorization of Aerial Images

Vladimir A. Knyaz, Vladimir V. Kniaz, Sergey Yu. Zheltov, Anton V. Emelyanov, and Egor R. Smirnov

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W9-2025, 161–167, https://doi.org/10.5194/isprs-archives-XLVIII-2-W9-2025-161-2025,https://doi.org/10.5194/isprs-archives-XLVIII-2-W9-2025-161-2025, 2025

Colored Petri nets for Modeling Processes of Biometric Identification System

Goharik Petrosyan, Andrey Avetisyan, Valery Burmin, Vladimir Knyaz, and Armen Gaboutchian

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W9-2025, 207–212, https://doi.org/10.5194/isprs-archives-XLVIII-2-W9-2025-207-2025,https://doi.org/10.5194/isprs-archives-XLVIII-2-W9-2025-207-2025, 2025

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

An algorithm for operational navigation in urban development using reinforcement learning

Ivan Alyrchikov, Nikolai Moiseev, and Vladimir A. Knyaz

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W5-2024, 1–7, https://doi.org/10.5194/isprs-archives-XLVIII-2-W5-2024-1-2024,https://doi.org/10.5194/isprs-archives-XLVIII-2-W5-2024-1-2024, 2024

DiffusionBAS: Estimating Camera External Orientation Through Diffusion Process

Vladimir V. Kniaz, Tatyana N. Skrypitsyna, Vladimir A. Knyaz, and Sergey Yu. Zheltov

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W5-2024, 79–85, https://doi.org/10.5194/isprs-archives-XLVIII-2-W5-2024-79-2024,https://doi.org/10.5194/isprs-archives-XLVIII-2-W5-2024-79-2024, 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

Improving change detection performance with generative-adversarial augmentation of dataset

Vladimir A. Knyaz, Vladimir V. Kniaz, and Sergey Yu. Zheltov

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-3-2024, 265–271, https://doi.org/10.5194/isprs-archives-XLVIII-3-2024-265-2024,https://doi.org/10.5194/isprs-archives-XLVIII-3-2024-265-2024, 2024

Extracting building outlines based on convolutional neural networks using the property of linear connectivity

Anton Emelyanov, Vladimir A. Knyaz, and Vladimir V. Kniaz

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-2024, 147–152, https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-147-2024,https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-147-2024, 2024

Influence of 3D models choice on cervical outline measurements of teeth

Armen Gaboutchian, Vladimir Knyaz, Anatoly Maximov, and Sergey Zheltov

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-2024, 159–163, https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-159-2024,https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-159-2024, 2024

Multi-sensor Data Analysis for Aerial Image Semantic Segmentation and Vectorization

Vladimir A. Knyaz, Vladimir V. Kniaz, Sergey Yu. Zheltov, and Kirill S. Petrov

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-2024, 291–296, https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-291-2024,https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-291-2024, 2024

APPROACHES TO ORIENTATION OF HIGH RESOLUTION TOMOGRAPHIC 3D RECONSTRUCTION OF TEETH IN METRIC STUDIES

A. V. Gaboutchian, V. A. Knyaz, H. Y. Simonyan, S. V. Vasilyev, D. V. Korost, N. V. Stepanov, G. R. Petrosyan, and A. V. Emelyanov

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W3-2023, 59–64, https://doi.org/10.5194/isprs-archives-XLVIII-2-W3-2023-59-2023,https://doi.org/10.5194/isprs-archives-XLVIII-2-W3-2023-59-2023, 2023

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

MULTIMODAL PERSON RE-IDENTIFICATION IN AERIAL IMAGERY BASED ON CONDITIONAL ADVERSARIAL NETWORKS

V. V. Kniaz, V. A. Knyaz, and P. V. Moshkantsev

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W3-2023, 121–128, https://doi.org/10.5194/isprs-archives-XLVIII-2-W3-2023-121-2023,https://doi.org/10.5194/isprs-archives-XLVIII-2-W3-2023-121-2023, 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

REINFORCEMENT LEARNING FOR AUTONOMOUS 3D DATA RETRIEVAL USING A MOBILE ROBOT

V. V. Kniaz, V. Mizginov, A. Bordodymov, P. Moshkantsev, and D. Novikov

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 553–558, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-553-2022,https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-553-2022, 2022

CALIBRATION OF PHOTOGRAMMETRIC SYSTEM FOR 3D MEASUREMENTS IN INACCESSIBLE MULTIMEDIA WORKING SPACE

V. A. Knyaz, V. V. Kniaz, E. V. Ippolitov, and M. M. Novikov

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 703–709, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-703-2022,https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-703-2022, 2022

“HEALING CRACKS” ON FOSSIL TEETH: IMPROVEMENT OF ODONTOLOGICAL STUDY METHODS IN PALAEONTOLOGICAL RESEARCH

V. A. Knyaz, A. V. Gaboutchian, E. N. Maschenko, D. V. Korost, N. V. Stepanov, and A. V. Emelyanov

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 809–814, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-809-2022,https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-809-2022, 2022

3D RECONSTRUCTION OF ICE SHAPE USING VISIBLE AND THERMAL RANGE IMAGING FOR AIRCRAFT ICING STUDY

V. A. Knyaz, E. V. Ippolitov, and M. M. Novikov

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 527–532, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-527-2021,https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-527-2021, 2021

ORIENTATION VS. ORIENTATION: IMAGE PROCESSING FOR STUDIES OF DENTAL MORPHOLOGY

A. V. Gaboutchian, V. A. Knyaz, S. V. Vasilyev, D. V. Korost, and A. A. Kudaev

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 723–728, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-723-2021,https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-723-2021, 2021

SHADE AND TEXTURE MAPPING ON TEETH FOR PALAEOANTHROPOLOGICAL RECONSTRUCTIONS

A. V. Gaboutchian, V. A. Knyaz, S. V. Apresyan, M. S. Navrazhnykh, and S. V. Vasyliev

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIV-2-W1-2021, 55–60, https://doi.org/10.5194/isprs-archives-XLIV-2-W1-2021-55-2021,https://doi.org/10.5194/isprs-archives-XLIV-2-W1-2021-55-2021, 2021

ENAMEL THICKNESS MEASUREMENTS ON 3D RECONSTRUCTIONS OF TEETH FOR PALEONTOLOGICAL APPLICATIONS

A. V. Gaboutchian, V. A. Knyaz, E. N. Maschenko, D. V. Korost, and A. A. Kudaev

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIV-2-W1-2021, 61–65, https://doi.org/10.5194/isprs-archives-XLIV-2-W1-2021-61-2021,https://doi.org/10.5194/isprs-archives-XLIV-2-W1-2021-61-2021, 2021

COMPARATIVE MORPHOLOGICAL ANALYSIS OF ENAMEL AND DENTIN SURFACES’ RECONSTRUCTIONS BY MEANS OF AUTOMATED DIGITAL ODONTOMETRY

A. V. Gaboutchian, V. A. Knyaz, M. M. Novikov, S. V. Vazyliev, D. V. Korost, S. A. Cherebylo, and A. A. Kudaev

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIV-2-W1-2021, 67–72, https://doi.org/10.5194/isprs-archives-XLIV-2-W1-2021-67-2021,https://doi.org/10.5194/isprs-archives-XLIV-2-W1-2021-67-2021, 2021

X-RAY BASED IMAGING AND 3D RECONSTRUCTION OF DENTAL PATHOLOGIES ON THE EXAMPLE OF PALAEOANTHROPOLOGICAL FINDING

A. V. Gaboutchian, V. A. Knyaz, H. Y. Simonyan, G. R. Petrosyan, D. V. Korost, M. M. Novikov, A. A. Kudaev, S. A. Cherebylo, and N. V. Kharlamova

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIV-2-W1-2021, 73–77, https://doi.org/10.5194/isprs-archives-XLIV-2-W1-2021-73-2021,https://doi.org/10.5194/isprs-archives-XLIV-2-W1-2021-73-2021, 2021

OBJECT RE-IDENTIFICATION USING MULTIMODAL AERIAL IMAGERY AND CONDITIONAL ADVERSARIAL NETWORKS

V. V. Kniaz and P. Moshkantseva

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIV-2-W1-2021, 131–136, https://doi.org/10.5194/isprs-archives-XLIV-2-W1-2021-131-2021,https://doi.org/10.5194/isprs-archives-XLIV-2-W1-2021-131-2021, 2021

AUTOMATIC ANTHROPOLOGICAL LANDMARKS RECOGNITION AND MEASUREMENTS

V. A. Knyaz, A. A. Maksimov, M. M. Novikov, and A. V. Urmashova

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIV-2-W1-2021, 137–142, https://doi.org/10.5194/isprs-archives-XLIV-2-W1-2021-137-2021,https://doi.org/10.5194/isprs-archives-XLIV-2-W1-2021-137-2021, 2021

A METHOD FOR SYNTHESIZING THERMAL IMAGES USING GAN MULTI-LAYERED APPROACH

V. A. Mizginov, V. V. Kniaz, and N. A. Fomin

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIV-2-W1-2021, 155–162, https://doi.org/10.5194/isprs-archives-XLIV-2-W1-2021-155-2021,https://doi.org/10.5194/isprs-archives-XLIV-2-W1-2021-155-2021, 2021

DEEP LEARNING FOR CODED TARGET DETECTION

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