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Knyaz, Vladimir A.
8  Ergebnisse:
Buchkapitel (Online) X
Personensuche X
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1

IQ-GAN: Instance-Quantized Image Synthesis:

, In: Studies in Computational Intelligence; Advances in Neural Computation, Machine Learning, and Cognitive Research VI,
Kniaz, Vladimir ; Knyaz, Vladimir ; Moshkantsev, Petr - p. 277-291 , 2022
Link: https://doi.org/10.1007/..
 
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2

Adversarial Dataset Augmentation Using Reinforcement Learni..:

, In: Advances in Neural Computation, Machine Learning, and Cognitive Research IV; Studies in Computational Intelligence,
Kniaz, Vladimir V. ; Knyaz, Vladimir A. ; Mizginov, Vladimir... - p. 316-329 , 2020
Link: https://doi.org/10.1007/..
 
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3

Image-to-Voxel Model Translation for 3D Scene Reconstructio..:

, In: Computer Vision – ECCV 2020; Lecture Notes in Computer Science,
Kniaz, Vladimir V. ; Knyaz, Vladimir A. ; Remondino, Fabio.. - p. 105-124 , 2020
Link: https://doi.org/10.1007/..
 
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4

StructureFromGAN: Single Image 3D Model Reconstruction and ..:

, In: Computer Vision – ECCV 2020 Workshops; Lecture Notes in Computer Science,
Kniaz, Vladimir V. ; Knyaz, Vladimir A. ; Mizginov, Vladimir.. - p. 595-611 , 2020
Link: https://doi.org/10.1007/..
 
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5

Image-to-Voxel Model Translation with Conditional Adversari..:

, In: Lecture Notes in Computer Science; Computer Vision – ECCV 2018 Workshops,
Knyaz, Vladimir A. ; Kniaz, Vladimir V. ; Remondino, Fabio - p. 601-618 , 2019
Link: https://doi.org/10.1007/..
 
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6

ThermalGAN: Multimodal Color-to-Thermal Image Translation f..:

, In: Lecture Notes in Computer Science; Computer Vision – ECCV 2018 Workshops,
Kniaz, Vladimir V. ; Knyaz, Vladimir A. ; Hladůvka, Jiří.. - p. 606-624 , 2019
Link: https://doi.org/10.1007/..
 
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7

Multispectral Person Re-Identification Using GAN for Color-..:

, In: Multimodal Scene Understanding,
Kniaz, Vladimir V. ; Knyaz, Vladimir A. - p. 135-158 , 2019
Link: https://doi.org/10.1016/..
 
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8

List of Contributors:

, In: Multimodal Scene Understanding,
Ackermann, Hanno ; Cao, Yanlong ; Cao, Yanpeng... - p. vii-ix , 2019
Link: https://doi.org/10.1016/..
 
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